The goal of this R script is to provide an example of how to update an existing assumption using a penalized regression. For illustration purposes we will start with an assumption that varies by duration and gender. We will then use the penalized regression to update the assumption to better fit the data.
To begin let’s first load the packages and data. We’ll load in the starting expected assumption (E) data that we initially explored in the “0250 - PoissonGLM Offset 2018.R” program and tag it onto our CTR data which was processed from the “0150 - Separate data into train val test.R” program. To perform this, we’ll have to filter the CTR dataset with the same filters from earlier. We’ll then follow up by joining the starting E to the CTR dataset by claim duration and gender.
# 4.1.0 - Load the Packages and Explore the Data
library(dplyr)
library(glmnet)
library(stringr)
library(Matrix)
library(doParallel)
library(ggplot2)
library(plotly)
library(scales)
library(kableExtra)
library(knitr)
# Initialize file paths for working directories
data_stored = "C:\\ILTCI_Workshop\\Data"
data_output = "C:\\ILTCI_Workshop\\Output"
# Load in existing assumption (E) data
load(paste0(data_stored, "\\", "smoothed_assumptions_20180301.RData"))
# Load prior processed data from the "0150 - Separate data into train val test.R" program
load(paste0(data_output, "\\", "ctr_data.RData"))
# Apply filters used earlier
ctr_data <- ctr_data %>%
filter(GroupIndicator == "Ind",
ClaimType != "Unk",
Cov_Type_Bucket == "Comprehensive"
)
# Join our smoothed assumption to the data
ctr_data_bench <- ctr_data %>%
left_join(smoothed_assumptions,
by = c("ClaimDuration", "Gender")
) %>%
# Calculate the expected claim terminations
mutate(exp_terms = smoothed*Exposure)
#Remove object from environment and garbage collect to save memory
invisible(rm(ctr_data))
Note: The ‘invisible’ function surpess the output. Also notice how we can directly load a file by specifying the path it is located instead of changing our work directory.
Using the kable() function from the kableExtra package we can explore the aggregated dataset we created within this document via a scroll box. This gives the reader of such a document the ability to dig deeper into the data if they are interested without overwhelming them with rows of data if they are not interested.
#Take a peak at the first 6 row
head(ctr_data_bench) %>%
kable("html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
fake_claim_id | GroupIndicator | Gender | IncurredAgeBucket | Incurred_Year | ClaimType | Region | StateAbbr | Diagnosis_Category | TQ_Status | Cov_Type_Bucket | Infl_Rider_Bucket | EP_Bucket | Max_Ben_Bucket | ClaimDuration | Exposure | Terminations | start_duration | end_duration | incurred_date | study_start_date | current_date | Sample | V1 | smoothed | exp_terms |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 103 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-02-01 | training | 353 | 0.025871 | 0.025871 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 104 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-03-01 | training | 354 | 0.025871 | 0.025871 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 106 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-05-01 | training | 356 | 0.025871 | 0.025871 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 107 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-06-01 | training | 357 | 0.025871 | 0.025871 |
4 | Ind | Male | 60 to 64 | 1991 | HHC | Northeast | CT | Stroke | Q | Comprehensive | None | 90/100 | 3 to 4 | 104 | 1 | 0 | 101 | 138 | 1991-07-01 | 2000-01-01 | 2000-04-01 | validation | 104 | 0.040733 | 0.040733 |
4 | Ind | Male | 60 to 64 | 1991 | HHC | Northeast | CT | Stroke | Q | Comprehensive | None | 90/100 | 3 to 4 | 109 | 1 | 0 | 101 | 138 | 1991-07-01 | 2000-01-01 | 2000-09-01 | validation | 109 | 0.040733 | 0.040733 |
Now that we have the expected terminations tagged on the data let’s explore the fit of the assumption. Currently the assumption varies just by ‘gender’ and ‘claim duration’ so let’s explore that fit initially.
# https://protect-us.mimecast.com/s/8cD4CVOZrvuk1mkQIG0QUt?domain=4.1.1.1 - View overall AtoE on training set
AtoE_train_all <- ctr_data_bench %>%
filter(Sample == "training") %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
AtoE = round(sum(Terminations)/sum(exp_terms), 2))
kable(AtoE_train_all,"html") %>%
kable_styling()
Termination | Rate | AtoE |
---|---|---|
12,449 | 2.63% | 0.81 |
# https://protect-us.mimecast.com/s/4eBMCW6BvPfXvZXoSxU00P?domain=4.1.1.2 - View overall AtoE grouped by gender on training set
AtoE_train_gender <- ctr_data_bench %>%
filter(Sample == "training") %>%
group_by(Gender) %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
AtoE = round(sum(Terminations)/sum(exp_terms), 2))
kable(AtoE_train_gender,"html") %>%
kable_styling()
Gender | Termination | Rate | AtoE |
---|---|---|---|
Female | 7,603 | 2.33% | 0.87 |
Male | 4,846 | 3.29% | 0.74 |
Next, we’ll create a plot which will allow us to see how well the E fits the training data by duration. We have made this plot interactive by wrapping it in the ggplotly() function from the plotly package. With such a plot you are able to zoom in and out as well as hover over points on the graph to view the underlying data.
# https://protect-us.mimecast.com/s/nd-kCXDVwQtD3jDrFDVWac?domain=4.1.1.4
# Determine how well the E fits training data dependent by only duration
duration <- ctr_data_bench %>%
filter(Sample == "training") %>%
group_by(ClaimDuration) %>%
summarise(actual_hz_rate = sum(Terminations)/sum(Exposure),
exp_hz_rate = sum(exp_terms)/sum(Exposure),
terms = sum(Terminations),
exposure = sum(Exposure)) %>% data.frame()
# Plot Hazard Rate vs Claim Duration
ggplotly(ggplot() +
geom_line(data = duration, aes(x = ClaimDuration, y = exp_hz_rate))+
geom_line(data = duration, linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate))+
ggtitle("Raw Hazard rates by duration"))
We’ll now look at a plot that utilizies both duration and gender.
# https://protect-us.mimecast.com/s/aSM-C1w7q6SBKxBWi1-hdY?domain=4.1.1.5 - Let's see how well the E fits the training data by duration and gender
gender_duration <- ctr_data_bench %>%
filter(Sample == "training") %>%
group_by(ClaimDuration,
Gender) %>%
summarise(actual_hz_rate = sum(Terminations)/sum(Exposure),
exp_hz_rate = sum(exp_terms)/sum(Exposure),
terms = sum(Terminations),
exposure = sum(Exposure)) %>% data.frame()
# Plot Hazard Rate vs. Gender and Duration
ggplotly(ggplot() +
geom_line(data = gender_duration, aes(x = ClaimDuration,
y = exp_hz_rate, col=c(Gender)))+
geom_line(data = gender_duration, linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col=c(Gender)))+
ggtitle("Raw Hazard rates by duration and gender"))
Now that we have explored the data we see that the fit by duration and gender is off. Let’s update the fit based on the training data using a penalized glm. We will select the optimal penalty value using a 10-fold cross-validation (CV). To do this first we need create random fold IDs to assign observations randomly to the 10 different folds.
# https://protect-us.mimecast.com/s/raf_C2kJr8tZAWZyiX23I3?domain=4.1.2.1 Use a variable as a place holder for the number of folds
nfolds <- 10
# Grab list of distinct claim IDs since we will create the fold by claim ID
# in order to avoid splitting one claim into two or more folds
distinct_claim_ids <- ctr_data_bench %>%
distinct(fake_claim_id)
# Use seed to make results reproducible and sample 10 folds
set.seed(28)
folds <- data.frame(distinct_claim_ids,
fold = sample(nfolds,
size = nrow(distinct_claim_ids),
replace = TRUE
)
)
# Join folds assignments back to the data
ctr_data_bench <- ctr_data_bench %>%
left_join(folds, by="fake_claim_id")
rm(distinct_claim_ids,
folds)
head(ctr_data_bench) %>%
kable("html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
fake_claim_id | GroupIndicator | Gender | IncurredAgeBucket | Incurred_Year | ClaimType | Region | StateAbbr | Diagnosis_Category | TQ_Status | Cov_Type_Bucket | Infl_Rider_Bucket | EP_Bucket | Max_Ben_Bucket | ClaimDuration | Exposure | Terminations | start_duration | end_duration | incurred_date | study_start_date | current_date | Sample | V1 | smoothed | exp_terms | fold |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 103 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-02-01 | training | 353 | 0.025871 | 0.025871 | 1 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 104 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-03-01 | training | 354 | 0.025871 | 0.025871 | 1 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 106 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-05-01 | training | 356 | 0.025871 | 0.025871 | 1 |
1 | Ind | Female | 70 to 74 | 1991 | NH | South | VA | Injury | Q | Comprehensive | GPO | 90/100 | 5 + | 107 | 1 | 0 | 102 | 108 | 1991-07-01 | 2000-01-01 | 2000-06-01 | training | 357 | 0.025871 | 0.025871 | 1 |
4 | Ind | Male | 60 to 64 | 1991 | HHC | Northeast | CT | Stroke | Q | Comprehensive | None | 90/100 | 3 to 4 | 104 | 1 | 0 | 101 | 138 | 1991-07-01 | 2000-01-01 | 2000-04-01 | validation | 104 | 0.040733 | 0.040733 | 1 |
4 | Ind | Male | 60 to 64 | 1991 | HHC | Northeast | CT | Stroke | Q | Comprehensive | None | 90/100 | 3 to 4 | 109 | 1 | 0 | 101 | 138 | 1991-07-01 | 2000-01-01 | 2000-09-01 | validation | 109 | 0.040733 | 0.040733 | 1 |
A quick glimpse indicates that we have successfully added a random fold ID. We can verify that each fold has approximately the same amount of observations.
# Verify that each fold has about the same amount of data
round(table(ctr_data_bench$fold)/(nrow(ctr_data_bench)), digits = 2)
##
## 1 2 3 4 5 6 7 8 9 10
## 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
Now that we have the K-fold ID’s, we’re almost ready to build our model.
Before we do so, we first have to do some more data processing to prepare our data for modeling. With this model we will only adjust by gender and granular monthly claim durations. Later we can try incorporating additional variables and claim duration bucketing. We are also going to create a new claim duration variable that limits our durations to 160 months. This was done since our test data contains later durations, which are not in our training data. If we didn’t do this then we wouldn’t have predictions for the later durations in the test data, which would cause the code to break when we score the test data at the end.
# 4.1.2
# Create column where if Claim Duration is over 160, replace Duration with 160
ctr_data_bench <- ctr_data_bench %>%
mutate(ClaimDuration_v2_ = ifelse(ClaimDuration > 160, 160, ClaimDuration))
# select the variables needed to train and test the model and then aggregate the data
# to speed up training.
agg_data <- ctr_data_bench %>%
group_by(fold,
Gender,
ClaimDuration_v2_,
ClaimDuration,
Sample
) %>%
summarise(exp_terms = sum(exp_terms),
Terminations = sum(Terminations),
Exposure = sum(Exposure)
) %>% data.frame()
rm(ctr_data_bench)
kable(agg_data,"html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
fold | Gender | ClaimDuration_v2_ | ClaimDuration | Sample | exp_terms | Terminations | Exposure |
---|---|---|---|---|---|---|---|
1 | Female | 1 | 1 | testing | 3.1253265 | 4 | 24.496802 |
1 | Female | 1 | 1 | training | 16.5031879 | 22 | 129.354590 |
1 | Female | 1 | 1 | validation | 6.1883021 | 7 | 48.504888 |
1 | Female | 2 | 2 | testing | 7.1220752 | 8 | 64.767924 |
1 | Female | 2 | 2 | training | 34.6015256 | 30 | 314.665166 |
1 | Female | 2 | 2 | validation | 13.0765596 | 10 | 118.917814 |
1 | Female | 3 | 3 | testing | 7.7869221 | 6 | 93.772018 |
1 | Female | 3 | 3 | training | 36.8045353 | 39 | 443.209202 |
1 | Female | 3 | 3 | validation | 14.0745040 | 18 | 169.488614 |
1 | Female | 4 | 4 | testing | 12.2810002 | 11 | 230.196818 |
1 | Female | 4 | 4 | training | 60.1266571 | 49 | 1127.022626 |
1 | Female | 4 | 4 | validation | 20.1958404 | 19 | 378.553710 |
1 | Female | 5 | 5 | testing | 9.6139943 | 7 | 244.351108 |
1 | Female | 5 | 5 | training | 48.3902244 | 46 | 1229.895144 |
1 | Female | 5 | 5 | validation | 15.5888591 | 14 | 396.209406 |
1 | Female | 6 | 6 | testing | 8.4512867 | 12 | 246.486618 |
1 | Female | 6 | 6 | training | 37.3381868 | 37 | 1088.989612 |
1 | Female | 6 | 6 | validation | 12.6152911 | 14 | 367.932194 |
1 | Female | 7 | 7 | testing | 7.2712924 | 9 | 242.416816 |
1 | Female | 7 | 7 | training | 34.4968349 | 28 | 1150.086178 |
1 | Female | 7 | 7 | validation | 11.0150003 | 12 | 367.227880 |
1 | Female | 8 | 8 | testing | 5.7104960 | 4 | 214.971240 |
1 | Female | 8 | 8 | training | 29.2533437 | 23 | 1101.240162 |
1 | Female | 8 | 8 | validation | 10.2151392 | 5 | 384.548232 |
1 | Female | 9 | 9 | testing | 5.8675043 | 8 | 239.275114 |
1 | Female | 9 | 9 | training | 26.0535916 | 21 | 1062.457858 |
1 | Female | 9 | 9 | validation | 9.4381490 | 12 | 384.884960 |
1 | Female | 10 | 10 | testing | 11.0880613 | 9 | 466.355202 |
1 | Female | 10 | 10 | training | 20.6711070 | 19 | 869.410624 |
1 | Female | 10 | 10 | validation | 6.9863357 | 4 | 293.839824 |
1 | Female | 11 | 11 | testing | 11.2393315 | 12 | 479.227880 |
1 | Female | 11 | 11 | training | 20.0699879 | 18 | 855.753544 |
1 | Female | 11 | 11 | validation | 6.5288430 | 3 | 278.379868 |
1 | Female | 12 | 12 | testing | 10.8406305 | 14 | 465.203214 |
1 | Female | 12 | 12 | training | 19.6452411 | 21 | 843.034850 |
1 | Female | 12 | 12 | validation | 6.3909071 | 7 | 274.252546 |
1 | Female | 13 | 13 | testing | 5.5078613 | 2 | 238.952766 |
1 | Female | 13 | 13 | training | 19.8660225 | 15 | 861.866486 |
1 | Female | 13 | 13 | validation | 6.7718248 | 5 | 293.788496 |
1 | Female | 14 | 14 | testing | 5.2283639 | 5 | 234.182744 |
1 | Female | 14 | 14 | training | 17.5270091 | 19 | 785.049230 |
1 | Female | 14 | 14 | validation | 6.1170030 | 2 | 273.985620 |
1 | Female | 15 | 15 | testing | 5.2618655 | 1 | 248.084182 |
1 | Female | 15 | 15 | training | 15.9332383 | 17 | 751.213500 |
1 | Female | 15 | 15 | validation | 5.8026548 | 7 | 273.581086 |
1 | Female | 16 | 16 | testing | 4.9660041 | 6 | 246.464050 |
1 | Female | 16 | 16 | training | 15.5215972 | 16 | 770.340822 |
1 | Female | 16 | 16 | validation | 5.1482969 | 3 | 255.511284 |
1 | Female | 17 | 17 | testing | 4.3555171 | 7 | 224.383962 |
1 | Female | 17 | 17 | training | 15.4129310 | 16 | 794.030756 |
1 | Female | 17 | 17 | validation | 4.8709650 | 4 | 250.938386 |
1 | Female | 18 | 18 | testing | 4.3649430 | 10 | 229.468144 |
1 | Female | 18 | 18 | training | 14.2545082 | 12 | 749.369582 |
1 | Female | 18 | 18 | validation | 4.5397350 | 3 | 238.657080 |
1 | Female | 19 | 19 | testing | 4.1915932 | 5 | 221.215598 |
1 | Female | 19 | 19 | training | 13.8300551 | 12 | 729.895246 |
1 | Female | 19 | 19 | validation | 4.9594734 | 5 | 261.741262 |
1 | Female | 20 | 20 | testing | 4.2782483 | 6 | 224.121130 |
1 | Female | 20 | 20 | training | 13.7466267 | 14 | 720.133412 |
1 | Female | 20 | 20 | validation | 4.6900533 | 4 | 245.694028 |
1 | Female | 21 | 21 | testing | 4.2190149 | 2 | 218.036948 |
1 | Female | 21 | 21 | training | 13.5460724 | 5 | 700.055422 |
1 | Female | 21 | 21 | validation | 4.8454862 | 3 | 250.412722 |
1 | Female | 22 | 22 | testing | 7.2082381 | 7 | 366.383962 |
1 | Female | 22 | 22 | training | 11.5060169 | 16 | 584.833632 |
1 | Female | 22 | 22 | validation | 4.0958679 | 7 | 208.186838 |
1 | Female | 23 | 23 | testing | 6.8869164 | 8 | 344.190932 |
1 | Female | 23 | 23 | training | 11.9922105 | 9 | 599.340822 |
1 | Female | 23 | 23 | validation | 3.8894287 | 7 | 194.383962 |
1 | Female | 24 | 24 | testing | 6.9458443 | 5 | 342.632414 |
1 | Female | 24 | 24 | training | 11.5768930 | 12 | 571.077990 |
1 | Female | 24 | 24 | validation | 3.7268009 | 3 | 183.839824 |
1 | Female | 25 | 25 | testing | 2.8847581 | 3 | 141.708408 |
1 | Female | 25 | 25 | training | 11.4267130 | 16 | 561.316156 |
1 | Female | 25 | 25 | validation | 3.9199971 | 5 | 192.562612 |
1 | Female | 26 | 26 | testing | 3.2045952 | 4 | 158.314160 |
1 | Female | 26 | 26 | training | 10.5910959 | 11 | 523.223786 |
1 | Female | 26 | 26 | validation | 3.3725165 | 4 | 166.609846 |
1 | Female | 27 | 27 | testing | 3.1887327 | 4 | 159.412722 |
1 | Female | 27 | 27 | training | 10.8302482 | 4 | 541.431196 |
1 | Female | 27 | 27 | validation | 3.6711457 | 5 | 183.529758 |
1 | Female | 28 | 28 | testing | 3.2202280 | 2 | 163.000000 |
1 | Female | 28 | 28 | training | 10.1981521 | 9 | 516.205312 |
1 | Female | 28 | 28 | validation | 3.4048876 | 4 | 172.347014 |
1 | Female | 29 | 29 | testing | 2.4567875 | 3 | 125.365488 |
1 | Female | 29 | 29 | training | 9.9397025 | 10 | 507.205312 |
1 | Female | 29 | 29 | validation | 2.9868321 | 3 | 152.412722 |
1 | Female | 30 | 30 | testing | 2.8487011 | 2 | 145.624226 |
1 | Female | 30 | 30 | training | 9.5118711 | 10 | 486.242260 |
1 | Female | 30 | 30 | validation | 3.2694248 | 3 | 167.131416 |
1 | Female | 31 | 31 | testing | 2.5168682 | 1 | 128.182744 |
1 | Female | 31 | 31 | training | 9.5707919 | 6 | 487.435290 |
1 | Female | 31 | 31 | validation | 2.9639576 | 3 | 150.952766 |
1 | Female | 32 | 32 | testing | 2.5893340 | 2 | 130.919912 |
1 | Female | 32 | 32 | training | 9.7543303 | 9 | 493.190932 |
1 | Female | 32 | 32 | validation | 2.8182228 | 2 | 142.492810 |
1 | Female | 33 | 33 | testing | 2.6362727 | 1 | 132.051328 |
1 | Female | 33 | 33 | training | 9.2405848 | 9 | 462.862392 |
1 | Female | 33 | 33 | validation | 2.7652393 | 2 | 138.511284 |
1 | Female | 34 | 34 | testing | 4.9426675 | 3 | 244.989714 |
1 | Female | 34 | 34 | training | 6.9561905 | 6 | 344.792590 |
1 | Female | 34 | 34 | validation | 2.6754036 | 1 | 132.609846 |
1 | Female | 35 | 35 | testing | 4.9247676 | 3 | 241.398342 |
1 | Female | 35 | 35 | training | 6.9504989 | 5 | 340.694028 |
1 | Female | 35 | 35 | validation | 2.6715674 | 3 | 130.952766 |
1 | Female | 36 | 36 | testing | 4.7194144 | 3 | 228.698122 |
1 | Female | 36 | 36 | training | 7.2436172 | 4 | 351.018474 |
1 | Female | 36 | 36 | validation | 2.4560652 | 2 | 119.018474 |
1 | Female | 37 | 37 | testing | 2.4321369 | 2 | 116.492810 |
1 | Female | 37 | 37 | training | 6.8379515 | 8 | 327.519472 |
1 | Female | 37 | 37 | validation | 2.6454181 | 3 | 126.708408 |
1 | Female | 38 | 38 | testing | 2.5952951 | 2 | 122.854204 |
1 | Female | 38 | 38 | training | 7.1469731 | 7 | 338.318254 |
1 | Female | 38 | 38 | validation | 2.5256737 | 0 | 119.558518 |
1 | Female | 39 | 39 | testing | 2.4373729 | 1 | 114.018474 |
1 | Female | 39 | 39 | training | 6.9999791 | 7 | 327.453764 |
1 | Female | 39 | 39 | validation | 2.6090912 | 5 | 122.051328 |
1 | Female | 40 | 40 | testing | 2.4155431 | 8 | 111.665268 |
1 | Female | 40 | 40 | training | 6.5381046 | 6 | 302.242260 |
1 | Female | 40 | 40 | validation | 2.3413194 | 2 | 108.234072 |
1 | Female | 41 | 41 | testing | 2.5864192 | 2 | 118.149890 |
1 | Female | 41 | 41 | training | 6.5387110 | 4 | 298.694028 |
1 | Female | 41 | 41 | validation | 2.5054177 | 4 | 114.449670 |
1 | Female | 42 | 42 | testing | 2.4386949 | 1 | 110.084182 |
1 | Female | 42 | 42 | training | 6.4412004 | 3 | 290.759736 |
1 | Female | 42 | 42 | validation | 2.1434277 | 2 | 96.755642 |
1 | Female | 43 | 43 | testing | 2.1405309 | 0 | 95.478430 |
1 | Female | 43 | 43 | training | 6.7291522 | 3 | 300.153984 |
1 | Female | 43 | 43 | validation | 2.2824105 | 4 | 101.806970 |
1 | Female | 44 | 44 | testing | 2.0668442 | 2 | 91.098562 |
1 | Female | 44 | 44 | training | 6.3907479 | 5 | 281.679648 |
1 | Female | 44 | 44 | validation | 2.2856178 | 0 | 100.741262 |
1 | Female | 45 | 45 | testing | 2.2121274 | 1 | 96.347014 |
1 | Female | 45 | 45 | training | 5.9596516 | 8 | 259.566706 |
1 | Female | 45 | 45 | validation | 1.9941725 | 2 | 86.854204 |
1 | Female | 46 | 46 | testing | 3.4283356 | 3 | 147.544138 |
1 | Female | 46 | 46 | training | 5.1439826 | 2 | 221.379868 |
1 | Female | 46 | 46 | validation | 1.6685068 | 2 | 71.806970 |
1 | Female | 47 | 47 | testing | 3.3419784 | 4 | 142.121130 |
1 | Female | 47 | 47 | training | 4.9336109 | 5 | 209.806970 |
1 | Female | 47 | 47 | validation | 1.4139902 | 0 | 60.131416 |
1 | Female | 48 | 48 | testing | 3.1669900 | 9 | 133.077990 |
1 | Female | 48 | 48 | training | 4.7523185 | 1 | 199.694028 |
1 | Female | 48 | 48 | validation | 1.7494215 | 3 | 73.511284 |
1 | Female | 49 | 49 | testing | 1.3041460 | 1 | 54.149890 |
1 | Female | 49 | 49 | training | 4.4659249 | 5 | 185.431196 |
1 | Female | 49 | 49 | validation | 1.5734712 | 3 | 65.332634 |
1 | Female | 50 | 50 | testing | 1.6817370 | 0 | 69.000000 |
1 | Female | 50 | 50 | training | 4.9721918 | 3 | 204.004094 |
1 | Female | 50 | 50 | validation | 1.6466038 | 0 | 67.558518 |
1 | Female | 51 | 51 | testing | 1.7509313 | 1 | 70.985620 |
1 | Female | 51 | 51 | training | 4.6801580 | 3 | 189.741262 |
1 | Female | 51 | 51 | validation | 1.5612514 | 1 | 63.295686 |
1 | Female | 52 | 52 | testing | 1.5648661 | 1 | 62.689934 |
1 | Female | 52 | 52 | training | 4.7547226 | 6 | 190.478430 |
1 | Female | 52 | 52 | validation | 1.6065891 | 1 | 64.361394 |
1 | Female | 53 | 53 | testing | 1.4225520 | 1 | 56.314160 |
1 | Female | 53 | 53 | training | 4.2776151 | 6 | 169.336728 |
1 | Female | 53 | 53 | validation | 1.7682700 | 0 | 70.000000 |
1 | Female | 54 | 54 | testing | 1.3079634 | 1 | 51.164270 |
1 | Female | 54 | 54 | training | 4.9410433 | 1 | 193.281306 |
1 | Female | 54 | 54 | validation | 1.7127880 | 0 | 67.000000 |
1 | Female | 55 | 55 | testing | 1.3452920 | 1 | 52.000000 |
1 | Female | 55 | 55 | training | 4.1043512 | 8 | 158.646794 |
1 | Female | 55 | 55 | validation | 1.7054140 | 1 | 65.919912 |
1 | Female | 56 | 56 | testing | 1.3389702 | 0 | 51.755642 |
1 | Female | 56 | 56 | training | 4.0691306 | 4 | 157.285400 |
1 | Female | 56 | 56 | validation | 1.3711630 | 0 | 53.000000 |
1 | Female | 57 | 57 | testing | 1.3962900 | 3 | 53.971240 |
1 | Female | 57 | 57 | training | 4.1971577 | 4 | 162.234072 |
1 | Female | 57 | 57 | validation | 1.6240292 | 2 | 62.774116 |
1 | Female | 58 | 58 | testing | 2.2942312 | 5 | 88.679648 |
1 | Female | 58 | 58 | training | 3.2959225 | 5 | 127.398342 |
1 | Female | 58 | 58 | validation | 1.2049934 | 1 | 46.576992 |
1 | Female | 59 | 59 | testing | 2.1159502 | 1 | 81.788496 |
1 | Female | 59 | 59 | training | 3.1673116 | 3 | 122.427102 |
1 | Female | 59 | 59 | validation | 1.1900660 | 0 | 46.000000 |
1 | Female | 60 | 60 | testing | 2.5898617 | 6 | 100.106750 |
1 | Female | 60 | 60 | training | 2.9862146 | 3 | 115.427102 |
1 | Female | 60 | 60 | validation | 1.1743946 | 2 | 45.394248 |
1 | Female | 61 | 61 | testing | 1.0089690 | 0 | 39.000000 |
1 | Female | 61 | 61 | training | 2.9582716 | 5 | 114.347014 |
1 | Female | 61 | 61 | validation | 0.9432555 | 1 | 36.459956 |
1 | Female | 62 | 62 | testing | 1.0348400 | 0 | 40.000000 |
1 | Female | 62 | 62 | training | 2.8471379 | 2 | 110.051328 |
1 | Female | 62 | 62 | validation | 1.0407898 | 1 | 40.229978 |
1 | Female | 63 | 63 | testing | 1.0802602 | 1 | 41.755642 |
1 | Female | 63 | 63 | training | 2.6270484 | 0 | 101.544138 |
1 | Female | 63 | 63 | validation | 1.1468237 | 0 | 44.328540 |
1 | Female | 64 | 64 | testing | 0.9407056 | 1 | 36.361394 |
1 | Female | 64 | 64 | training | 2.6634910 | 2 | 102.952766 |
1 | Female | 64 | 64 | validation | 1.0259683 | 0 | 39.657080 |
1 | Female | 65 | 65 | testing | 1.1269024 | 1 | 43.558518 |
1 | Female | 65 | 65 | training | 2.5642568 | 1 | 99.117036 |
1 | Female | 65 | 65 | validation | 0.8613927 | 1 | 33.295686 |
1 | Female | 66 | 66 | testing | 0.8804640 | 1 | 34.032854 |
1 | Female | 66 | 66 | training | 2.5189425 | 1 | 97.365488 |
1 | Female | 66 | 66 | validation | 0.8406215 | 1 | 32.492810 |
1 | Female | 67 | 67 | testing | 0.9526051 | 1 | 36.821350 |
1 | Female | 67 | 67 | training | 2.7908800 | 4 | 107.876772 |
1 | Female | 67 | 67 | validation | 0.7740580 | 2 | 29.919912 |
1 | Female | 68 | 68 | testing | 1.0543892 | 3 | 40.755642 |
1 | Female | 68 | 68 | training | 2.3233961 | 2 | 89.806970 |
1 | Female | 68 | 68 | validation | 0.9572270 | 0 | 37.000000 |
1 | Female | 69 | 69 | testing | 0.7863296 | 0 | 30.394248 |
1 | Female | 69 | 69 | training | 2.4425515 | 2 | 94.412722 |
1 | Female | 69 | 69 | validation | 0.7243880 | 0 | 28.000000 |
1 | Female | 70 | 70 | testing | 1.3135772 | 3 | 50.774116 |
1 | Female | 70 | 70 | training | 1.8882110 | 4 | 72.985620 |
1 | Female | 70 | 70 | validation | 0.6794457 | 0 | 26.262832 |
1 | Female | 71 | 71 | testing | 1.1617510 | 2 | 44.905532 |
1 | Female | 71 | 71 | training | 1.7537562 | 2 | 67.788496 |
1 | Female | 71 | 71 | validation | 0.8079508 | 1 | 31.229978 |
1 | Female | 72 | 72 | testing | 1.3351983 | 4 | 51.609846 |
1 | Female | 72 | 72 | training | 1.7978485 | 1 | 69.492810 |
1 | Female | 72 | 72 | validation | 0.5432910 | 0 | 21.000000 |
1 | Female | 73 | 73 | testing | 0.4398070 | 2 | 17.000000 |
1 | Female | 73 | 73 | training | 1.6557440 | 0 | 64.000000 |
1 | Female | 73 | 73 | validation | 0.6154322 | 0 | 23.788496 |
1 | Female | 74 | 74 | testing | 0.4656780 | 0 | 18.000000 |
1 | Female | 74 | 74 | training | 1.2761787 | 0 | 49.328540 |
1 | Female | 74 | 74 | validation | 0.5517907 | 1 | 21.328540 |
1 | Female | 75 | 75 | testing | 0.4101641 | 1 | 15.854204 |
1 | Female | 75 | 75 | training | 1.6596218 | 2 | 64.149890 |
1 | Female | 75 | 75 | validation | 0.5950330 | 0 | 23.000000 |
1 | Female | 76 | 76 | testing | 0.3851431 | 0 | 14.887058 |
1 | Female | 76 | 76 | training | 1.5357386 | 1 | 59.361394 |
1 | Female | 76 | 76 | validation | 0.4915490 | 0 | 19.000000 |
1 | Female | 77 | 77 | testing | 0.2069680 | 0 | 8.000000 |
1 | Female | 77 | 77 | training | 1.3398202 | 1 | 51.788496 |
1 | Female | 77 | 77 | validation | 0.4915490 | 0 | 19.000000 |
1 | Female | 78 | 78 | testing | 0.3104520 | 0 | 12.000000 |
1 | Female | 78 | 78 | training | 1.3296206 | 2 | 51.394248 |
1 | Female | 78 | 78 | validation | 0.5628402 | 1 | 21.755642 |
1 | Female | 79 | 79 | testing | 0.4398070 | 0 | 17.000000 |
1 | Female | 79 | 79 | training | 1.3978840 | 3 | 54.032854 |
1 | Female | 79 | 79 | validation | 0.3783434 | 1 | 14.624226 |
1 | Female | 80 | 80 | testing | 0.3363230 | 0 | 13.000000 |
1 | Female | 80 | 80 | training | 1.3452920 | 0 | 52.000000 |
1 | Female | 80 | 80 | validation | 0.5267696 | 1 | 20.361394 |
1 | Female | 81 | 81 | testing | 0.5174200 | 0 | 20.000000 |
1 | Female | 81 | 81 | training | 1.5374386 | 1 | 59.427102 |
1 | Female | 81 | 81 | validation | 0.6379033 | 1 | 24.657080 |
1 | Female | 82 | 82 | testing | 0.4860772 | 1 | 18.788496 |
1 | Female | 82 | 82 | training | 0.9750763 | 2 | 37.689934 |
1 | Female | 82 | 82 | validation | 0.3791933 | 0 | 14.657080 |
1 | Female | 83 | 83 | testing | 0.7761300 | 0 | 30.000000 |
1 | Female | 83 | 83 | training | 0.9572270 | 0 | 37.000000 |
1 | Female | 83 | 83 | validation | 0.2706095 | 1 | 10.459956 |
1 | Female | 84 | 84 | testing | 0.6734960 | 1 | 26.032854 |
1 | Female | 84 | 84 | training | 0.7999290 | 2 | 30.919912 |
1 | Female | 84 | 84 | validation | 0.3104520 | 0 | 12.000000 |
1 | Female | 85 | 85 | testing | 0.3363230 | 0 | 13.000000 |
1 | Female | 85 | 85 | training | 0.6510248 | 1 | 25.164270 |
1 | Female | 85 | 85 | validation | 0.3104520 | 0 | 12.000000 |
1 | Female | 86 | 86 | testing | 0.2845810 | 0 | 11.000000 |
1 | Female | 86 | 86 | training | 0.9148346 | 0 | 35.361394 |
1 | Female | 86 | 86 | validation | 0.2845810 | 0 | 11.000000 |
1 | Female | 87 | 87 | testing | 0.4215857 | 0 | 16.295686 |
1 | Female | 87 | 87 | training | 0.8028510 | 1 | 31.032854 |
1 | Female | 87 | 87 | validation | 0.3138519 | 1 | 12.131416 |
1 | Female | 88 | 88 | testing | 0.4139360 | 0 | 16.000000 |
1 | Female | 88 | 88 | training | 0.7502590 | 0 | 29.000000 |
1 | Female | 88 | 88 | validation | 0.2587100 | 0 | 10.000000 |
1 | Female | 89 | 89 | testing | 0.3300012 | 2 | 12.755642 |
1 | Female | 89 | 89 | training | 0.7846297 | 0 | 30.328540 |
1 | Female | 89 | 89 | validation | 0.3104520 | 0 | 12.000000 |
1 | Female | 90 | 90 | testing | 0.4398070 | 0 | 17.000000 |
1 | Female | 90 | 90 | training | 0.6671742 | 1 | 25.788496 |
1 | Female | 90 | 90 | validation | 0.2587100 | 0 | 10.000000 |
1 | Female | 91 | 91 | testing | 0.1552260 | 0 | 6.000000 |
1 | Female | 91 | 91 | training | 0.7502590 | 0 | 29.000000 |
1 | Female | 91 | 91 | validation | 0.2069680 | 0 | 8.000000 |
1 | Female | 92 | 92 | testing | 0.2557881 | 1 | 9.887058 |
1 | Female | 92 | 92 | training | 0.6467750 | 0 | 25.000000 |
1 | Female | 92 | 92 | validation | 0.1552260 | 0 | 6.000000 |
1 | Female | 93 | 93 | testing | 0.2845810 | 0 | 11.000000 |
1 | Female | 93 | 93 | training | 0.8020010 | 0 | 31.000000 |
1 | Female | 93 | 93 | validation | 0.1815749 | 2 | 7.018474 |
1 | Female | 94 | 94 | testing | 0.4215857 | 1 | 16.295686 |
1 | Female | 94 | 94 | training | 0.6209040 | 0 | 24.000000 |
1 | Female | 94 | 94 | validation | 0.2587100 | 0 | 10.000000 |
1 | Female | 95 | 95 | testing | 0.3914649 | 0 | 15.131416 |
1 | Female | 95 | 95 | training | 0.5568905 | 2 | 21.525664 |
1 | Female | 95 | 95 | validation | 0.2069680 | 0 | 8.000000 |
1 | Female | 96 | 96 | testing | 0.3880650 | 0 | 15.000000 |
1 | Female | 96 | 96 | training | 0.4656780 | 0 | 18.000000 |
1 | Female | 96 | 96 | validation | 0.2845810 | 0 | 11.000000 |
1 | Female | 97 | 97 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 97 | 97 | training | 0.6985170 | 1 | 27.000000 |
1 | Female | 97 | 97 | validation | 0.1293550 | 0 | 5.000000 |
1 | Female | 98 | 98 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 98 | 98 | training | 0.5432910 | 0 | 21.000000 |
1 | Female | 98 | 98 | validation | 0.2328390 | 0 | 9.000000 |
1 | Female | 99 | 99 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 99 | 99 | training | 0.5950330 | 0 | 23.000000 |
1 | Female | 99 | 99 | validation | 0.2069680 | 0 | 8.000000 |
1 | Female | 100 | 100 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 100 | 100 | training | 0.4656780 | 0 | 18.000000 |
1 | Female | 100 | 100 | validation | 0.2328390 | 0 | 9.000000 |
1 | Female | 101 | 101 | testing | 0.1552260 | 0 | 6.000000 |
1 | Female | 101 | 101 | training | 0.4449068 | 0 | 17.197124 |
1 | Female | 101 | 101 | validation | 0.2587100 | 0 | 10.000000 |
1 | Female | 102 | 102 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 102 | 102 | training | 0.4241356 | 1 | 16.394248 |
1 | Female | 102 | 102 | validation | 0.1552260 | 0 | 6.000000 |
1 | Female | 103 | 103 | testing | 0.1293550 | 0 | 5.000000 |
1 | Female | 103 | 103 | training | 0.4656780 | 0 | 18.000000 |
1 | Female | 103 | 103 | validation | 0.1552260 | 0 | 6.000000 |
1 | Female | 104 | 104 | testing | 0.0335207 | 0 | 1.295686 |
1 | Female | 104 | 104 | training | 0.6467750 | 0 | 25.000000 |
1 | Female | 104 | 104 | validation | 0.2404887 | 1 | 9.295686 |
1 | Female | 105 | 105 | testing | 0.1293550 | 0 | 5.000000 |
1 | Female | 105 | 105 | training | 0.3880650 | 0 | 15.000000 |
1 | Female | 105 | 105 | validation | 0.1810970 | 0 | 7.000000 |
1 | Female | 106 | 106 | testing | 0.3363230 | 0 | 13.000000 |
1 | Female | 106 | 106 | training | 0.3363230 | 0 | 13.000000 |
1 | Female | 106 | 106 | validation | 0.1293550 | 0 | 5.000000 |
1 | Female | 107 | 107 | testing | 0.3104520 | 0 | 12.000000 |
1 | Female | 107 | 107 | training | 0.4139360 | 0 | 16.000000 |
1 | Female | 107 | 107 | validation | 0.1552260 | 0 | 6.000000 |
1 | Female | 108 | 108 | testing | 0.2587100 | 0 | 10.000000 |
1 | Female | 108 | 108 | training | 0.3104520 | 0 | 12.000000 |
1 | Female | 108 | 108 | validation | 0.0776130 | 0 | 3.000000 |
1 | Female | 109 | 109 | testing | 0.2328390 | 0 | 9.000000 |
1 | Female | 109 | 109 | training | 0.3621940 | 0 | 14.000000 |
1 | Female | 109 | 109 | validation | 0.1506041 | 1 | 5.821350 |
1 | Female | 110 | 110 | testing | 0.1293550 | 0 | 5.000000 |
1 | Female | 110 | 110 | training | 0.2845810 | 0 | 11.000000 |
1 | Female | 110 | 110 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 111 | 111 | testing | 0.1552260 | 0 | 6.000000 |
1 | Female | 111 | 111 | training | 0.2808091 | 1 | 10.854204 |
1 | Female | 111 | 111 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 112 | 112 | testing | 0.1552260 | 0 | 6.000000 |
1 | Female | 112 | 112 | training | 0.2587100 | 0 | 10.000000 |
1 | Female | 112 | 112 | validation | 0.1153835 | 1 | 4.459956 |
1 | Female | 113 | 113 | testing | 0.1853468 | 1 | 7.164270 |
1 | Female | 113 | 113 | training | 0.2845810 | 0 | 11.000000 |
1 | Female | 113 | 113 | validation | 0.1293550 | 0 | 5.000000 |
1 | Female | 114 | 114 | testing | 0.1034840 | 0 | 4.000000 |
1 | Female | 114 | 114 | training | 0.2845810 | 0 | 11.000000 |
1 | Female | 114 | 114 | validation | 0.1552260 | 0 | 6.000000 |
1 | Female | 115 | 115 | testing | 0.2069680 | 0 | 8.000000 |
1 | Female | 115 | 115 | training | 0.3363230 | 0 | 13.000000 |
1 | Female | 115 | 115 | validation | 0.0776130 | 0 | 3.000000 |
1 | Female | 116 | 116 | testing | 0.1034840 | 0 | 4.000000 |
1 | Female | 116 | 116 | training | 0.2845810 | 0 | 11.000000 |
1 | Female | 116 | 116 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 117 | 117 | testing | 0.1293550 | 0 | 5.000000 |
1 | Female | 117 | 117 | training | 0.2587100 | 0 | 10.000000 |
1 | Female | 117 | 117 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 118 | 118 | testing | 0.2845810 | 0 | 11.000000 |
1 | Female | 118 | 118 | training | 0.1293550 | 0 | 5.000000 |
1 | Female | 118 | 118 | validation | 0.0653415 | 1 | 2.525664 |
1 | Female | 119 | 119 | testing | 0.3104520 | 0 | 12.000000 |
1 | Female | 119 | 119 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 119 | 119 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 120 | 120 | testing | 0.2845810 | 0 | 11.000000 |
1 | Female | 120 | 120 | training | 0.1552260 | 0 | 6.000000 |
1 | Female | 120 | 120 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 121 | 121 | testing | 0.1293550 | 0 | 5.000000 |
1 | Female | 121 | 121 | training | 0.1293550 | 0 | 5.000000 |
1 | Female | 121 | 121 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 122 | 122 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 122 | 122 | training | 0.1552260 | 0 | 6.000000 |
1 | Female | 122 | 122 | validation | 0.0776130 | 0 | 3.000000 |
1 | Female | 123 | 123 | testing | 0.1552260 | 0 | 6.000000 |
1 | Female | 123 | 123 | training | 0.2328390 | 0 | 9.000000 |
1 | Female | 123 | 123 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 124 | 124 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 124 | 124 | training | 0.1293550 | 0 | 5.000000 |
1 | Female | 124 | 124 | validation | 0.1034840 | 0 | 4.000000 |
1 | Female | 125 | 125 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 125 | 125 | training | 0.1773251 | 0 | 6.854204 |
1 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 126 | 126 | testing | 0.2069680 | 0 | 8.000000 |
1 | Female | 126 | 126 | training | 0.1552260 | 0 | 6.000000 |
1 | Female | 126 | 126 | validation | 0.0776130 | 0 | 3.000000 |
1 | Female | 127 | 127 | testing | 0.1523041 | 1 | 5.887058 |
1 | Female | 127 | 127 | training | 0.1293550 | 0 | 5.000000 |
1 | Female | 128 | 128 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 128 | 128 | training | 0.1730753 | 0 | 6.689934 |
1 | Female | 128 | 128 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 129 | 129 | testing | 0.2205675 | 1 | 8.525664 |
1 | Female | 129 | 129 | training | 0.1810970 | 0 | 7.000000 |
1 | Female | 129 | 129 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 130 | 130 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 130 | 130 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 130 | 130 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 131 | 131 | testing | 0.0818628 | 1 | 3.164270 |
1 | Female | 131 | 131 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 132 | 132 | testing | 0.1810970 | 0 | 7.000000 |
1 | Female | 132 | 132 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 133 | 133 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 133 | 133 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 134 | 134 | testing | 0.0437203 | 1 | 1.689934 |
1 | Female | 134 | 134 | training | 0.1293550 | 0 | 5.000000 |
1 | Female | 134 | 134 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 135 | 135 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 135 | 135 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 135 | 135 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 136 | 136 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 136 | 136 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 136 | 136 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 137 | 137 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 137 | 137 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 138 | 138 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 138 | 138 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 139 | 139 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 139 | 139 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 139 | 139 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 140 | 140 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 140 | 140 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 140 | 140 | validation | 0.0517420 | 0 | 2.000000 |
1 | Female | 141 | 141 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 141 | 141 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 141 | 141 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 142 | 142 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 142 | 142 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 143 | 143 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 143 | 143 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 144 | 144 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 144 | 144 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 145 | 145 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 145 | 145 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 146 | 146 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 146 | 146 | training | 0.0776130 | 0 | 3.000000 |
1 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 147 | 147 | training | 0.1034840 | 0 | 4.000000 |
1 | Female | 147 | 147 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 148 | 148 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 148 | 148 | training | 0.0517420 | 0 | 2.000000 |
1 | Female | 148 | 148 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 149 | 149 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 149 | 149 | training | 0.0258710 | 0 | 1.000000 |
1 | Female | 149 | 149 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 150 | 150 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 150 | 150 | training | 0.0144494 | 1 | 0.558518 |
1 | Female | 151 | 151 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
1 | Female | 152 | 152 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 152 | 152 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 153 | 153 | training | 0.0258710 | 0 | 1.000000 |
1 | Female | 153 | 153 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 154 | 154 | testing | 0.1034840 | 0 | 4.000000 |
1 | Female | 154 | 154 | training | 0.0258710 | 0 | 1.000000 |
1 | Female | 154 | 154 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 155 | 155 | testing | 0.1034840 | 0 | 4.000000 |
1 | Female | 155 | 155 | training | 0.0258710 | 0 | 1.000000 |
1 | Female | 155 | 155 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 157 | 157 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 158 | 158 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 158 | 158 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 159 | 159 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 160 | 160 | testing | 0.0776130 | 0 | 3.000000 |
1 | Female | 160 | 161 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 162 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 162 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 163 | testing | 0.0517420 | 0 | 2.000000 |
1 | Female | 160 | 163 | validation | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 166 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 168 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 170 | testing | 0.0258710 | 0 | 1.000000 |
1 | Female | 160 | 171 | testing | 0.0258710 | 0 | 1.000000 |
1 | Male | 1 | 1 | testing | 3.0126625 | 3 | 14.020470 |
1 | Male | 1 | 1 | training | 16.1465115 | 13 | 75.143392 |
1 | Male | 1 | 1 | validation | 5.0339001 | 3 | 23.427000 |
1 | Male | 2 | 2 | testing | 3.8106848 | 5 | 31.698122 |
1 | Male | 2 | 2 | training | 19.1566193 | 15 | 159.349010 |
1 | Male | 2 | 2 | validation | 5.7630569 | 5 | 47.938386 |
1 | Male | 3 | 3 | testing | 5.2670216 | 3 | 54.106750 |
1 | Male | 3 | 3 | training | 24.8917208 | 32 | 255.706208 |
1 | Male | 3 | 3 | validation | 6.8299366 | 7 | 70.162172 |
1 | Male | 4 | 4 | testing | 12.0861085 | 6 | 159.767720 |
1 | Male | 4 | 4 | training | 43.5160080 | 31 | 575.243338 |
1 | Male | 4 | 4 | validation | 12.9551992 | 14 | 171.256334 |
1 | Male | 5 | 5 | testing | 10.5021351 | 9 | 169.811064 |
1 | Male | 5 | 5 | training | 39.2725866 | 20 | 635.006090 |
1 | Male | 5 | 5 | validation | 12.9870239 | 6 | 209.989714 |
1 | Male | 6 | 6 | testing | 7.9906277 | 9 | 147.796684 |
1 | Male | 6 | 6 | training | 32.0093630 | 17 | 592.053324 |
1 | Male | 6 | 6 | validation | 10.2743476 | 2 | 190.036948 |
1 | Male | 7 | 7 | testing | 7.8554219 | 6 | 159.219692 |
1 | Male | 7 | 7 | training | 29.2911807 | 27 | 593.696024 |
1 | Male | 7 | 7 | validation | 8.9827778 | 5 | 182.069802 |
1 | Male | 8 | 8 | testing | 7.2181704 | 5 | 156.234072 |
1 | Male | 8 | 8 | training | 26.0776640 | 14 | 564.439384 |
1 | Male | 8 | 8 | validation | 8.8390947 | 10 | 191.318254 |
1 | Male | 9 | 9 | testing | 6.6016479 | 5 | 149.595466 |
1 | Male | 9 | 9 | training | 23.6216908 | 16 | 535.275114 |
1 | Male | 9 | 9 | validation | 7.5766768 | 3 | 171.689934 |
1 | Male | 10 | 10 | testing | 11.0015719 | 5 | 257.708408 |
1 | Male | 10 | 10 | training | 18.6459722 | 20 | 436.776112 |
1 | Male | 10 | 10 | validation | 6.2118767 | 3 | 145.511284 |
1 | Male | 11 | 11 | testing | 11.3688726 | 7 | 273.698122 |
1 | Male | 11 | 11 | training | 18.5094846 | 14 | 445.603654 |
1 | Male | 11 | 11 | validation | 5.5315475 | 5 | 133.168364 |
1 | Male | 12 | 12 | testing | 10.1720511 | 7 | 251.223786 |
1 | Male | 12 | 12 | training | 17.4718069 | 28 | 431.509186 |
1 | Male | 12 | 12 | validation | 5.2119857 | 2 | 128.722788 |
1 | Male | 13 | 13 | testing | 5.1622728 | 6 | 130.872678 |
1 | Male | 13 | 13 | training | 15.8107211 | 8 | 400.829538 |
1 | Male | 13 | 13 | validation | 5.2405956 | 6 | 132.858298 |
1 | Male | 14 | 14 | testing | 3.9586388 | 2 | 103.084182 |
1 | Male | 14 | 14 | training | 14.8631501 | 9 | 387.041042 |
1 | Male | 14 | 14 | validation | 4.5977517 | 5 | 119.726882 |
1 | Male | 15 | 15 | testing | 4.1636718 | 2 | 111.229978 |
1 | Male | 15 | 15 | training | 14.3858002 | 11 | 384.307968 |
1 | Male | 15 | 15 | validation | 4.5339273 | 4 | 121.121130 |
1 | Male | 16 | 16 | testing | 4.4078742 | 2 | 120.394248 |
1 | Male | 16 | 16 | training | 13.6477792 | 13 | 372.767924 |
1 | Male | 16 | 16 | validation | 4.4829774 | 4 | 122.445576 |
1 | Male | 17 | 17 | testing | 3.6079994 | 2 | 100.314160 |
1 | Male | 17 | 17 | training | 13.1417650 | 7 | 365.383962 |
1 | Male | 17 | 17 | validation | 4.2170751 | 5 | 117.248452 |
1 | Male | 18 | 18 | testing | 3.5983230 | 4 | 101.398342 |
1 | Male | 18 | 18 | training | 13.0305046 | 9 | 367.190932 |
1 | Male | 18 | 18 | validation | 3.7600911 | 6 | 105.956860 |
1 | Male | 19 | 19 | testing | 3.5709764 | 4 | 101.609846 |
1 | Male | 19 | 19 | training | 11.6014155 | 14 | 330.110844 |
1 | Male | 19 | 19 | validation | 4.0537555 | 4 | 115.347014 |
1 | Male | 20 | 20 | testing | 3.4181182 | 1 | 97.887058 |
1 | Male | 20 | 20 | training | 12.2727732 | 7 | 351.464050 |
1 | Male | 20 | 20 | validation | 3.6300696 | 6 | 103.956860 |
1 | Male | 21 | 21 | testing | 3.3504158 | 3 | 96.295686 |
1 | Male | 21 | 21 | training | 11.4378947 | 7 | 328.741262 |
1 | Male | 21 | 21 | validation | 3.4577237 | 3 | 99.379868 |
1 | Male | 22 | 22 | testing | 5.5740028 | 4 | 160.398342 |
1 | Male | 22 | 22 | training | 8.9267247 | 7 | 256.876772 |
1 | Male | 22 | 22 | validation | 2.3403761 | 4 | 67.347014 |
1 | Male | 23 | 23 | testing | 6.3266796 | 3 | 181.952766 |
1 | Male | 23 | 23 | training | 8.8058443 | 9 | 253.252546 |
1 | Male | 23 | 23 | validation | 2.4938731 | 1 | 71.722788 |
1 | Male | 24 | 24 | testing | 5.7765293 | 9 | 165.825444 |
1 | Male | 24 | 24 | training | 8.7043147 | 5 | 249.872678 |
1 | Male | 24 | 24 | validation | 2.8937366 | 4 | 83.069802 |
1 | Male | 25 | 25 | testing | 2.4095103 | 3 | 68.971240 |
1 | Male | 25 | 25 | training | 8.2288775 | 9 | 235.548232 |
1 | Male | 25 | 25 | validation | 2.2204168 | 1 | 63.558518 |
1 | Male | 26 | 26 | testing | 2.2791600 | 0 | 65.000000 |
1 | Male | 26 | 26 | training | 8.8264078 | 4 | 251.722788 |
1 | Male | 26 | 26 | validation | 2.6712717 | 3 | 76.182744 |
1 | Male | 27 | 27 | testing | 2.4300420 | 1 | 69.000000 |
1 | Male | 27 | 27 | training | 8.7578557 | 3 | 248.675554 |
1 | Male | 27 | 27 | validation | 2.4047310 | 2 | 68.281306 |
1 | Male | 28 | 28 | testing | 2.0452505 | 0 | 57.788496 |
1 | Male | 28 | 28 | training | 7.9610194 | 4 | 224.938386 |
1 | Male | 28 | 28 | validation | 2.4194465 | 1 | 68.361394 |
1 | Male | 29 | 29 | testing | 2.4507260 | 2 | 68.887058 |
1 | Male | 29 | 29 | training | 7.7571738 | 9 | 218.045136 |
1 | Male | 29 | 29 | validation | 2.4163188 | 3 | 67.919912 |
1 | Male | 30 | 30 | testing | 1.9669100 | 0 | 55.000000 |
1 | Male | 30 | 30 | training | 7.6080530 | 3 | 212.741262 |
1 | Male | 30 | 30 | validation | 2.5585615 | 2 | 71.544138 |
1 | Male | 31 | 31 | testing | 2.5882560 | 0 | 72.000000 |
1 | Male | 31 | 31 | training | 7.3441685 | 4 | 204.299780 |
1 | Male | 31 | 31 | validation | 2.5377658 | 2 | 70.595466 |
1 | Male | 32 | 32 | testing | 2.4401074 | 1 | 67.525664 |
1 | Male | 32 | 32 | training | 7.2663780 | 6 | 201.084182 |
1 | Male | 32 | 32 | validation | 2.0390498 | 0 | 56.427102 |
1 | Male | 33 | 33 | testing | 2.0771632 | 2 | 57.182744 |
1 | Male | 33 | 33 | training | 7.0289238 | 9 | 193.500998 |
1 | Male | 33 | 33 | validation | 1.8680895 | 0 | 51.427102 |
1 | Male | 34 | 34 | testing | 3.4575083 | 1 | 94.689934 |
1 | Male | 34 | 34 | training | 5.5169868 | 10 | 151.092370 |
1 | Male | 34 | 34 | validation | 1.4564360 | 0 | 39.887058 |
1 | Male | 35 | 35 | testing | 4.0502871 | 2 | 110.347014 |
1 | Male | 35 | 35 | training | 5.3764908 | 2 | 146.478430 |
1 | Male | 35 | 35 | validation | 1.6355204 | 1 | 44.558518 |
1 | Male | 36 | 36 | testing | 3.9849191 | 2 | 108.004094 |
1 | Male | 36 | 36 | training | 5.4008316 | 3 | 146.379868 |
1 | Male | 36 | 36 | validation | 1.6519858 | 1 | 44.774116 |
1 | Male | 37 | 37 | testing | 1.8034239 | 1 | 48.624226 |
1 | Male | 37 | 37 | training | 5.2211712 | 4 | 140.774116 |
1 | Male | 37 | 37 | validation | 1.8485092 | 3 | 49.839824 |
1 | Male | 38 | 38 | testing | 1.5658860 | 0 | 42.000000 |
1 | Male | 38 | 38 | training | 5.5143619 | 2 | 147.905532 |
1 | Male | 38 | 38 | validation | 1.3563506 | 2 | 36.379868 |
1 | Male | 39 | 39 | testing | 1.6489880 | 0 | 44.000000 |
1 | Male | 39 | 39 | training | 5.1638995 | 1 | 137.788496 |
1 | Male | 39 | 39 | validation | 1.6484491 | 1 | 43.985620 |
1 | Male | 40 | 40 | testing | 1.5069200 | 0 | 40.000000 |
1 | Male | 40 | 40 | training | 4.7092792 | 5 | 125.004094 |
1 | Male | 40 | 40 | validation | 1.3668256 | 2 | 36.281306 |
1 | Male | 41 | 41 | testing | 1.9313190 | 0 | 51.000000 |
1 | Male | 41 | 41 | training | 4.2068019 | 3 | 111.088276 |
1 | Male | 41 | 41 | validation | 1.1275160 | 3 | 29.774116 |
1 | Male | 42 | 42 | testing | 1.6200751 | 2 | 42.558518 |
1 | Male | 42 | 42 | training | 4.6437824 | 8 | 121.989714 |
1 | Male | 42 | 42 | validation | 1.2181440 | 0 | 32.000000 |
1 | Male | 43 | 43 | testing | 1.3387597 | 1 | 34.985620 |
1 | Male | 43 | 43 | training | 3.7942264 | 4 | 99.153984 |
1 | Male | 43 | 43 | validation | 1.2101326 | 2 | 31.624226 |
1 | Male | 44 | 44 | testing | 1.5203942 | 1 | 39.525664 |
1 | Male | 44 | 44 | training | 4.2194905 | 3 | 109.694028 |
1 | Male | 44 | 44 | validation | 0.9421404 | 1 | 24.492810 |
1 | Male | 45 | 45 | testing | 1.0808217 | 2 | 27.952766 |
1 | Male | 45 | 45 | training | 3.7943493 | 1 | 98.131416 |
1 | Male | 45 | 45 | validation | 1.0826480 | 0 | 28.000000 |
1 | Male | 46 | 46 | testing | 2.1505097 | 2 | 55.328540 |
1 | Male | 46 | 46 | training | 3.3006671 | 2 | 84.919912 |
1 | Male | 46 | 46 | validation | 0.9328320 | 0 | 24.000000 |
1 | Male | 47 | 47 | testing | 1.7858732 | 4 | 45.708408 |
1 | Male | 47 | 47 | training | 3.1212672 | 2 | 79.887058 |
1 | Male | 47 | 47 | validation | 0.8672638 | 0 | 22.197124 |
1 | Male | 48 | 48 | testing | 2.0773000 | 2 | 52.891152 |
1 | Male | 48 | 48 | training | 3.3062773 | 3 | 84.182744 |
1 | Male | 48 | 48 | validation | 0.9709875 | 1 | 24.722788 |
1 | Male | 49 | 49 | testing | 0.8685600 | 0 | 22.000000 |
1 | Male | 49 | 49 | training | 3.2562484 | 4 | 82.478430 |
1 | Male | 49 | 49 | validation | 0.8472391 | 1 | 21.459956 |
1 | Male | 50 | 50 | testing | 0.8334060 | 0 | 21.000000 |
1 | Male | 50 | 50 | training | 2.4236162 | 2 | 61.069802 |
1 | Male | 50 | 50 | validation | 1.1769709 | 1 | 29.657080 |
1 | Male | 51 | 51 | testing | 0.8561020 | 1 | 21.459956 |
1 | Male | 51 | 51 | training | 2.5355400 | 2 | 63.558518 |
1 | Male | 51 | 51 | validation | 0.8907524 | 1 | 22.328540 |
1 | Male | 52 | 52 | testing | 0.7619380 | 0 | 19.000000 |
1 | Male | 52 | 52 | training | 2.9097417 | 2 | 72.558518 |
1 | Male | 52 | 52 | validation | 0.7619380 | 0 | 19.000000 |
1 | Male | 53 | 53 | testing | 0.9271530 | 0 | 23.000000 |
1 | Male | 53 | 53 | training | 2.3368787 | 4 | 57.971240 |
1 | Male | 53 | 53 | validation | 0.4837320 | 0 | 12.000000 |
1 | Male | 54 | 54 | testing | 0.7546723 | 1 | 18.624226 |
1 | Male | 54 | 54 | training | 2.2054406 | 1 | 54.427102 |
1 | Male | 54 | 54 | validation | 0.6603175 | 0 | 16.295686 |
1 | Male | 55 | 55 | testing | 0.8146600 | 0 | 20.000000 |
1 | Male | 55 | 55 | training | 2.3806636 | 2 | 58.445576 |
1 | Male | 55 | 55 | validation | 0.6958900 | 2 | 17.084182 |
1 | Male | 56 | 56 | testing | 0.7739270 | 0 | 19.000000 |
1 | Male | 56 | 56 | training | 2.2850627 | 0 | 56.098562 |
1 | Male | 56 | 56 | validation | 0.6350834 | 1 | 15.591372 |
1 | Male | 57 | 57 | testing | 0.6517280 | 0 | 16.000000 |
1 | Male | 57 | 57 | training | 2.1995820 | 0 | 54.000000 |
1 | Male | 57 | 57 | validation | 0.5702620 | 0 | 14.000000 |
1 | Male | 58 | 58 | testing | 1.1646124 | 3 | 28.591372 |
1 | Male | 58 | 58 | training | 1.8150021 | 2 | 44.558518 |
1 | Male | 58 | 58 | validation | 0.4480630 | 0 | 11.000000 |
1 | Male | 59 | 59 | testing | 1.3709538 | 1 | 33.657080 |
1 | Male | 59 | 59 | training | 1.8329850 | 0 | 45.000000 |
1 | Male | 59 | 59 | validation | 0.4073300 | 0 | 10.000000 |
1 | Male | 60 | 60 | testing | 1.6260578 | 2 | 39.919912 |
1 | Male | 60 | 60 | training | 2.0393265 | 1 | 50.065708 |
1 | Male | 60 | 60 | validation | 0.5589703 | 1 | 13.722788 |
1 | Male | 61 | 61 | testing | 0.6109950 | 0 | 15.000000 |
1 | Male | 61 | 61 | training | 1.8029579 | 0 | 44.262832 |
1 | Male | 61 | 61 | validation | 0.5295290 | 1 | 13.000000 |
1 | Male | 62 | 62 | testing | 0.3258640 | 0 | 8.000000 |
1 | Male | 62 | 62 | training | 1.3502945 | 1 | 33.149890 |
1 | Male | 62 | 62 | validation | 0.5088696 | 1 | 12.492810 |
1 | Male | 63 | 63 | testing | 0.5943504 | 1 | 14.591372 |
1 | Male | 63 | 63 | training | 1.5178269 | 2 | 37.262832 |
1 | Male | 63 | 63 | validation | 0.4073300 | 0 | 10.000000 |
1 | Male | 64 | 64 | testing | 0.6190245 | 1 | 15.197124 |
1 | Male | 64 | 64 | training | 1.6300725 | 0 | 40.018474 |
1 | Male | 64 | 64 | validation | 0.4480630 | 0 | 11.000000 |
1 | Male | 65 | 65 | testing | 0.4887960 | 0 | 12.000000 |
1 | Male | 65 | 65 | training | 1.7922520 | 0 | 44.000000 |
1 | Male | 65 | 65 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 66 | 66 | testing | 0.2851310 | 0 | 7.000000 |
1 | Male | 66 | 66 | training | 1.1125877 | 2 | 27.314160 |
1 | Male | 66 | 66 | validation | 0.3145723 | 1 | 7.722788 |
1 | Male | 67 | 67 | testing | 0.3665970 | 0 | 9.000000 |
1 | Male | 67 | 67 | training | 1.3034560 | 0 | 32.000000 |
1 | Male | 67 | 67 | validation | 0.4073300 | 0 | 10.000000 |
1 | Male | 68 | 68 | testing | 0.4480630 | 0 | 11.000000 |
1 | Male | 68 | 68 | training | 1.5071210 | 0 | 37.000000 |
1 | Male | 68 | 68 | validation | 0.3839941 | 1 | 9.427102 |
1 | Male | 69 | 69 | testing | 0.5295290 | 0 | 13.000000 |
1 | Male | 69 | 69 | training | 1.5191652 | 2 | 37.295686 |
1 | Male | 69 | 69 | validation | 0.2443980 | 0 | 6.000000 |
1 | Male | 70 | 70 | testing | 0.6924610 | 0 | 17.000000 |
1 | Male | 70 | 70 | training | 1.1579211 | 0 | 28.427102 |
1 | Male | 70 | 70 | validation | 0.2036650 | 0 | 5.000000 |
1 | Male | 71 | 71 | testing | 0.6517280 | 0 | 16.000000 |
1 | Male | 71 | 71 | training | 1.0590580 | 0 | 26.000000 |
1 | Male | 71 | 71 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 72 | 72 | testing | 0.6109950 | 0 | 15.000000 |
1 | Male | 72 | 72 | training | 0.9816067 | 1 | 24.098562 |
1 | Male | 72 | 72 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 73 | 73 | testing | 0.4761661 | 0 | 11.689934 |
1 | Male | 73 | 73 | training | 0.8494543 | 2 | 20.854204 |
1 | Male | 73 | 73 | validation | 0.1221990 | 0 | 3.000000 |
1 | Male | 74 | 74 | testing | 0.3258640 | 0 | 8.000000 |
1 | Male | 74 | 74 | training | 0.8159982 | 0 | 20.032854 |
1 | Male | 74 | 74 | validation | 0.2036650 | 0 | 5.000000 |
1 | Male | 75 | 75 | testing | 0.3665970 | 0 | 9.000000 |
1 | Male | 75 | 75 | training | 0.5702620 | 0 | 14.000000 |
1 | Male | 75 | 75 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 76 | 76 | testing | 0.2851310 | 0 | 7.000000 |
1 | Male | 76 | 76 | training | 0.8741284 | 0 | 21.459956 |
1 | Male | 76 | 76 | validation | 0.2036650 | 0 | 5.000000 |
1 | Male | 77 | 77 | testing | 0.2443980 | 0 | 6.000000 |
1 | Male | 77 | 77 | training | 0.5362202 | 2 | 13.164270 |
1 | Male | 77 | 77 | validation | 0.2443980 | 0 | 6.000000 |
1 | Male | 78 | 78 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 78 | 78 | training | 0.6109950 | 0 | 15.000000 |
1 | Male | 78 | 78 | validation | 0.2036650 | 0 | 5.000000 |
1 | Male | 79 | 79 | testing | 0.1856821 | 1 | 4.558518 |
1 | Male | 79 | 79 | training | 0.5522791 | 1 | 13.558518 |
1 | Male | 79 | 79 | validation | 0.2443980 | 0 | 6.000000 |
1 | Male | 80 | 80 | testing | 0.2443980 | 0 | 6.000000 |
1 | Male | 80 | 80 | training | 0.7232406 | 0 | 17.755642 |
1 | Male | 80 | 80 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 81 | 81 | testing | 0.2443980 | 0 | 6.000000 |
1 | Male | 81 | 81 | training | 0.4627837 | 2 | 11.361394 |
1 | Male | 81 | 81 | validation | 0.1629320 | 0 | 4.000000 |
1 | Male | 82 | 82 | testing | 0.3619965 | 1 | 8.887058 |
1 | Male | 82 | 82 | training | 0.5295290 | 0 | 13.000000 |
1 | Male | 82 | 82 | validation | 0.1221990 | 0 | 3.000000 |
1 | Male | 83 | 83 | testing | 0.3719500 | 1 | 9.131416 |
1 | Male | 83 | 83 | training | 0.5295290 | 0 | 13.000000 |
1 | Male | 83 | 83 | validation | 0.1221990 | 1 | 3.000000 |
1 | Male | 84 | 84 | testing | 0.3619965 | 1 | 8.887058 |
1 | Male | 84 | 84 | training | 0.4480630 | 0 | 11.000000 |
1 | Male | 84 | 84 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 85 | 85 | testing | 0.2036650 | 0 | 5.000000 |
1 | Male | 85 | 85 | training | 0.2050032 | 1 | 5.032854 |
1 | Male | 85 | 85 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 86 | 86 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 86 | 86 | training | 0.4073300 | 0 | 10.000000 |
1 | Male | 86 | 86 | validation | 0.0814660 | 0 | 2.000000 |
1 | Male | 87 | 87 | testing | 0.1109073 | 1 | 2.722788 |
1 | Male | 87 | 87 | training | 0.4073300 | 0 | 10.000000 |
1 | Male | 87 | 87 | validation | 0.1221990 | 0 | 3.000000 |
1 | Male | 88 | 88 | testing | 0.1629320 | 0 | 4.000000 |
1 | Male | 88 | 88 | training | 0.2851310 | 0 | 7.000000 |
1 | Male | 88 | 88 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 89 | 89 | testing | 0.1629320 | 0 | 4.000000 |
1 | Male | 89 | 89 | training | 0.3258640 | 0 | 8.000000 |
1 | Male | 89 | 89 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 90 | 90 | testing | 0.2443980 | 0 | 6.000000 |
1 | Male | 90 | 90 | training | 0.5809679 | 1 | 14.262832 |
1 | Male | 91 | 91 | testing | 0.2036650 | 0 | 5.000000 |
1 | Male | 91 | 91 | training | 0.4073300 | 0 | 10.000000 |
1 | Male | 91 | 91 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 92 | 92 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 92 | 92 | training | 0.2443980 | 0 | 6.000000 |
1 | Male | 92 | 92 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 93 | 93 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 93 | 93 | training | 0.3258640 | 0 | 8.000000 |
1 | Male | 93 | 93 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 94 | 94 | testing | 0.3258640 | 0 | 8.000000 |
1 | Male | 94 | 94 | training | 0.4073300 | 0 | 10.000000 |
1 | Male | 95 | 95 | testing | 0.2851310 | 0 | 7.000000 |
1 | Male | 95 | 95 | training | 0.2090180 | 0 | 5.131416 |
1 | Male | 95 | 95 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 96 | 96 | testing | 0.3239400 | 2 | 7.952766 |
1 | Male | 96 | 96 | training | 0.2851310 | 0 | 7.000000 |
1 | Male | 96 | 96 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 97 | 97 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 97 | 97 | training | 0.2851310 | 0 | 7.000000 |
1 | Male | 98 | 98 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 98 | 98 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 99 | 99 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 99 | 99 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 100 | 100 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 100 | 100 | training | 0.3665970 | 0 | 9.000000 |
1 | Male | 100 | 100 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 101 | 101 | training | 0.1669467 | 0 | 4.098562 |
1 | Male | 101 | 101 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 102 | 102 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 102 | 102 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 103 | 103 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 103 | 103 | training | 0.1629320 | 0 | 4.000000 |
1 | Male | 104 | 104 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 104 | 104 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 104 | 104 | validation | 0.0814660 | 0 | 2.000000 |
1 | Male | 105 | 105 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 105 | 105 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 105 | 105 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 106 | 106 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 106 | 106 | training | 0.0814660 | 0 | 2.000000 |
1 | Male | 107 | 107 | testing | 0.2036650 | 0 | 5.000000 |
1 | Male | 107 | 107 | training | 0.1629320 | 0 | 4.000000 |
1 | Male | 108 | 108 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 108 | 108 | training | 0.1629320 | 0 | 4.000000 |
1 | Male | 109 | 109 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 109 | 109 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 110 | 110 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 110 | 110 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 110 | 110 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 111 | 111 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 111 | 111 | training | 0.2036650 | 0 | 5.000000 |
1 | Male | 111 | 111 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 112 | 112 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 112 | 112 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 112 | 112 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 113 | 113 | training | 0.0814660 | 0 | 2.000000 |
1 | Male | 114 | 114 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 114 | 114 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 115 | 115 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 115 | 115 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 115 | 115 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 116 | 116 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 116 | 116 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 117 | 117 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 117 | 117 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 117 | 117 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 118 | 118 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 118 | 118 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 119 | 119 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 119 | 119 | training | 0.0814660 | 0 | 2.000000 |
1 | Male | 120 | 120 | testing | 0.1248755 | 1 | 3.065708 |
1 | Male | 120 | 120 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 121 | 121 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 121 | 121 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 121 | 121 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 122 | 122 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 123 | 123 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 124 | 124 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 124 | 124 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 125 | 125 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 125 | 125 | training | 0.1221990 | 0 | 3.000000 |
1 | Male | 125 | 125 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 126 | 126 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 126 | 126 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 127 | 127 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 127 | 127 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 127 | 127 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 128 | 128 | testing | 0.1221990 | 0 | 3.000000 |
1 | Male | 128 | 128 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 129 | 129 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 129 | 129 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 129 | 129 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 130 | 130 | testing | 0.1629320 | 0 | 4.000000 |
1 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 130 | 130 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 131 | 131 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 132 | 132 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 133 | 133 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 133 | 133 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 134 | 134 | testing | 0.0814660 | 0 | 2.000000 |
1 | Male | 134 | 134 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 134 | 134 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 135 | 135 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 136 | 136 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 136 | 136 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 137 | 137 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 137 | 137 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 137 | 137 | validation | 0.0407330 | 0 | 1.000000 |
1 | Male | 138 | 138 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 138 | 138 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 138 | 138 | validation | 0.0093677 | 1 | 0.229978 |
1 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
1 | Male | 140 | 140 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 143 | 143 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 144 | 144 | training | 0.0407330 | 0 | 1.000000 |
1 | Male | 145 | 145 | training | 0.0407330 | 0 | 1.000000 |
2 | Female | 1 | 1 | testing | 3.4391701 | 4 | 26.956758 |
2 | Female | 1 | 1 | training | 16.8199108 | 25 | 131.837114 |
2 | Female | 1 | 1 | validation | 4.8690097 | 4 | 38.164066 |
2 | Female | 2 | 2 | testing | 8.4215361 | 7 | 76.585180 |
2 | Female | 2 | 2 | training | 33.4366359 | 33 | 304.071696 |
2 | Female | 2 | 2 | validation | 12.5127439 | 14 | 113.790492 |
2 | Female | 3 | 3 | testing | 10.1954511 | 8 | 122.776112 |
2 | Female | 3 | 3 | training | 39.7703114 | 30 | 478.923802 |
2 | Female | 3 | 3 | validation | 13.6052486 | 9 | 163.837726 |
2 | Female | 4 | 4 | testing | 14.6933589 | 13 | 275.414412 |
2 | Female | 4 | 4 | training | 56.4465036 | 41 | 1058.041304 |
2 | Female | 4 | 4 | validation | 19.8016876 | 26 | 371.165654 |
2 | Female | 5 | 5 | testing | 11.4482634 | 6 | 290.971240 |
2 | Female | 5 | 5 | training | 43.5650085 | 44 | 1107.256538 |
2 | Female | 5 | 5 | validation | 15.3210388 | 9 | 389.402436 |
2 | Female | 6 | 6 | testing | 10.1242382 | 14 | 295.279208 |
2 | Female | 6 | 6 | training | 39.2160866 | 37 | 1143.759634 |
2 | Female | 6 | 6 | validation | 12.7613105 | 8 | 372.190932 |
2 | Female | 7 | 7 | testing | 7.9863679 | 10 | 266.256640 |
2 | Female | 7 | 7 | training | 33.3735919 | 31 | 1112.638504 |
2 | Female | 7 | 7 | validation | 11.4659107 | 14 | 382.260734 |
2 | Female | 8 | 8 | testing | 6.6101811 | 5 | 248.839824 |
2 | Female | 8 | 8 | training | 28.0607463 | 24 | 1056.344916 |
2 | Female | 8 | 8 | validation | 10.2420852 | 7 | 385.562612 |
2 | Female | 9 | 9 | testing | 6.9291008 | 8 | 282.566706 |
2 | Female | 9 | 9 | training | 26.4248450 | 24 | 1077.597462 |
2 | Female | 9 | 9 | validation | 8.5575731 | 7 | 348.975334 |
2 | Female | 10 | 10 | testing | 11.6624936 | 10 | 490.515378 |
2 | Female | 10 | 10 | training | 20.8227947 | 21 | 875.790492 |
2 | Female | 10 | 10 | validation | 6.7019021 | 9 | 281.876772 |
2 | Female | 11 | 11 | testing | 11.7843854 | 8 | 502.468144 |
2 | Female | 11 | 11 | training | 19.6170129 | 17 | 836.439384 |
2 | Female | 11 | 11 | validation | 6.3254713 | 6 | 269.708408 |
2 | Female | 12 | 12 | testing | 10.5615693 | 12 | 453.227880 |
2 | Female | 12 | 12 | training | 18.9162928 | 13 | 811.753544 |
2 | Female | 12 | 12 | validation | 6.3377458 | 6 | 271.971240 |
2 | Female | 13 | 13 | testing | 5.6606440 | 7 | 245.581086 |
2 | Female | 13 | 13 | training | 18.9048324 | 16 | 820.166266 |
2 | Female | 13 | 13 | validation | 6.4594897 | 9 | 280.238166 |
2 | Female | 14 | 14 | testing | 5.6331659 | 4 | 252.314160 |
2 | Female | 14 | 14 | training | 17.2275567 | 22 | 771.636508 |
2 | Female | 14 | 14 | validation | 5.6368334 | 4 | 252.478430 |
2 | Female | 15 | 15 | testing | 5.2758022 | 3 | 248.741262 |
2 | Female | 15 | 15 | training | 15.9919037 | 12 | 753.979428 |
2 | Female | 15 | 15 | validation | 5.6878510 | 6 | 268.168364 |
2 | Female | 16 | 16 | testing | 4.9349738 | 7 | 244.924006 |
2 | Female | 16 | 16 | training | 15.3167149 | 8 | 760.172458 |
2 | Female | 16 | 16 | validation | 4.7968684 | 5 | 238.069802 |
2 | Female | 17 | 17 | testing | 4.5943883 | 1 | 236.689934 |
2 | Female | 17 | 17 | training | 14.5099008 | 16 | 747.509186 |
2 | Female | 17 | 17 | validation | 4.8741537 | 4 | 251.102656 |
2 | Female | 18 | 18 | testing | 4.4047840 | 4 | 231.562612 |
2 | Female | 18 | 18 | training | 14.1388528 | 10 | 743.289494 |
2 | Female | 18 | 18 | validation | 4.5248141 | 5 | 237.872678 |
2 | Female | 19 | 19 | testing | 4.7373500 | 3 | 250.018474 |
2 | Female | 19 | 19 | training | 14.2159404 | 15 | 750.260734 |
2 | Female | 19 | 19 | validation | 4.4948387 | 5 | 237.219692 |
2 | Female | 20 | 20 | testing | 3.9555386 | 5 | 207.215598 |
2 | Female | 20 | 20 | training | 14.0645156 | 18 | 736.786398 |
2 | Female | 20 | 20 | validation | 4.3314779 | 7 | 226.909626 |
2 | Female | 21 | 21 | testing | 4.3789007 | 4 | 226.299780 |
2 | Female | 21 | 21 | training | 13.7123155 | 10 | 708.646794 |
2 | Female | 21 | 21 | validation | 4.6472578 | 4 | 240.168364 |
2 | Female | 22 | 22 | testing | 7.5324347 | 8 | 382.862392 |
2 | Female | 22 | 22 | training | 12.0635549 | 10 | 613.172458 |
2 | Female | 22 | 22 | validation | 3.8416815 | 6 | 195.266926 |
2 | Female | 23 | 23 | testing | 7.1837645 | 7 | 359.026662 |
2 | Female | 23 | 23 | training | 11.2084907 | 9 | 560.172458 |
2 | Female | 23 | 23 | validation | 3.3596218 | 3 | 167.905532 |
2 | Female | 24 | 24 | testing | 7.2204941 | 7 | 356.180646 |
2 | Female | 24 | 24 | training | 11.6964440 | 9 | 576.975334 |
2 | Female | 24 | 24 | validation | 3.9455053 | 4 | 194.628320 |
2 | Female | 25 | 25 | testing | 3.0696014 | 2 | 150.788496 |
2 | Female | 25 | 25 | training | 11.3627167 | 15 | 558.172458 |
2 | Female | 25 | 25 | validation | 3.6620442 | 5 | 179.891152 |
2 | Female | 26 | 26 | testing | 3.1989839 | 5 | 158.036948 |
2 | Female | 26 | 26 | training | 11.0342166 | 9 | 545.114938 |
2 | Female | 26 | 26 | validation | 3.3442941 | 3 | 165.215598 |
2 | Female | 27 | 27 | testing | 3.0247656 | 3 | 151.215598 |
2 | Female | 27 | 27 | training | 11.1795816 | 10 | 558.895246 |
2 | Female | 27 | 27 | validation | 3.4254828 | 4 | 171.248452 |
2 | Female | 28 | 28 | testing | 2.7354149 | 2 | 138.459956 |
2 | Female | 28 | 28 | training | 10.3571333 | 8 | 524.252546 |
2 | Female | 28 | 28 | validation | 3.2918282 | 2 | 166.624226 |
2 | Female | 29 | 29 | testing | 2.6463191 | 4 | 135.036948 |
2 | Female | 29 | 29 | training | 10.3413803 | 8 | 527.702216 |
2 | Female | 29 | 29 | validation | 3.0179380 | 0 | 154.000000 |
2 | Female | 30 | 30 | testing | 2.5799746 | 4 | 131.887058 |
2 | Female | 30 | 30 | training | 10.3469716 | 8 | 528.932194 |
2 | Female | 30 | 30 | validation | 2.9616544 | 5 | 151.398342 |
2 | Female | 31 | 31 | testing | 2.3096321 | 2 | 117.628320 |
2 | Female | 31 | 31 | training | 10.1273052 | 4 | 515.778210 |
2 | Female | 31 | 31 | validation | 3.3862512 | 1 | 172.459956 |
2 | Female | 32 | 32 | testing | 2.2764194 | 1 | 115.098562 |
2 | Female | 32 | 32 | training | 9.5607334 | 7 | 483.402436 |
2 | Female | 32 | 32 | validation | 2.9907421 | 2 | 151.215598 |
2 | Female | 33 | 33 | testing | 2.4156440 | 1 | 121.000000 |
2 | Female | 33 | 33 | training | 9.9864677 | 10 | 500.223786 |
2 | Female | 33 | 33 | validation | 2.8591562 | 4 | 143.215598 |
2 | Female | 34 | 34 | testing | 5.2357228 | 7 | 259.515378 |
2 | Female | 34 | 34 | training | 7.1728129 | 4 | 355.529758 |
2 | Female | 34 | 34 | validation | 2.6142158 | 4 | 129.576992 |
2 | Female | 35 | 35 | testing | 4.7535165 | 4 | 233.004094 |
2 | Female | 35 | 35 | training | 7.4177946 | 7 | 363.599560 |
2 | Female | 35 | 35 | validation | 2.5213876 | 2 | 123.591372 |
2 | Female | 36 | 36 | testing | 4.8838245 | 7 | 236.665268 |
2 | Female | 36 | 36 | training | 7.2620915 | 8 | 351.913720 |
2 | Female | 36 | 36 | validation | 2.4458956 | 1 | 118.525664 |
2 | Female | 37 | 37 | testing | 2.7179553 | 1 | 130.182744 |
2 | Female | 37 | 37 | training | 7.4014866 | 5 | 354.511284 |
2 | Female | 37 | 37 | validation | 2.5577906 | 3 | 122.511284 |
2 | Female | 38 | 38 | testing | 2.5045487 | 1 | 118.558518 |
2 | Female | 38 | 38 | training | 7.4428961 | 11 | 352.326442 |
2 | Female | 38 | 38 | validation | 2.7719295 | 2 | 131.215598 |
2 | Female | 39 | 39 | testing | 2.4923738 | 3 | 116.591372 |
2 | Female | 39 | 39 | training | 7.5577130 | 4 | 353.544138 |
2 | Female | 39 | 39 | validation | 2.5134434 | 2 | 117.576992 |
2 | Female | 40 | 40 | testing | 2.1863420 | 2 | 101.069802 |
2 | Female | 40 | 40 | training | 6.8043959 | 8 | 314.552326 |
2 | Female | 40 | 40 | validation | 2.2725589 | 2 | 105.055422 |
2 | Female | 41 | 41 | testing | 2.2357588 | 1 | 102.131416 |
2 | Female | 41 | 41 | training | 7.1570978 | 5 | 326.942480 |
2 | Female | 41 | 41 | validation | 2.1485992 | 2 | 98.149890 |
2 | Female | 42 | 42 | testing | 2.5026519 | 5 | 112.971240 |
2 | Female | 42 | 42 | training | 6.8711598 | 2 | 310.168364 |
2 | Female | 42 | 42 | validation | 2.1692198 | 4 | 97.919912 |
2 | Female | 43 | 43 | testing | 2.3207113 | 2 | 103.515378 |
2 | Female | 43 | 43 | training | 6.9380581 | 9 | 309.472238 |
2 | Female | 43 | 43 | validation | 2.4003979 | 3 | 107.069802 |
2 | Female | 44 | 44 | testing | 2.1483252 | 1 | 94.689934 |
2 | Female | 44 | 44 | training | 6.7485381 | 5 | 297.449670 |
2 | Female | 44 | 44 | validation | 2.2245885 | 3 | 98.051328 |
2 | Female | 45 | 45 | testing | 1.9335901 | 2 | 84.215598 |
2 | Female | 45 | 45 | training | 6.4495910 | 2 | 280.905532 |
2 | Female | 45 | 45 | validation | 2.3080692 | 1 | 100.525664 |
2 | Female | 46 | 46 | testing | 4.2907870 | 5 | 184.661174 |
2 | Female | 46 | 46 | training | 5.2910326 | 2 | 227.708408 |
2 | Female | 46 | 46 | validation | 1.4173960 | 0 | 61.000000 |
2 | Female | 47 | 47 | testing | 3.9471879 | 6 | 167.858298 |
2 | Female | 47 | 47 | training | 5.0369416 | 4 | 214.201218 |
2 | Female | 47 | 47 | validation | 1.6888790 | 1 | 71.821350 |
2 | Female | 48 | 48 | testing | 3.4599450 | 7 | 145.388056 |
2 | Female | 48 | 48 | training | 4.8653958 | 4 | 204.445576 |
2 | Female | 48 | 48 | validation | 1.6584810 | 2 | 69.689934 |
2 | Female | 49 | 49 | testing | 1.6617960 | 0 | 69.000000 |
2 | Female | 49 | 49 | training | 5.0147631 | 4 | 208.219692 |
2 | Female | 49 | 49 | validation | 1.7321192 | 1 | 71.919912 |
2 | Female | 50 | 50 | testing | 1.8279750 | 0 | 75.000000 |
2 | Female | 50 | 50 | training | 4.8111898 | 3 | 197.398342 |
2 | Female | 50 | 50 | validation | 1.5994593 | 1 | 65.624226 |
2 | Female | 51 | 51 | testing | 1.4804157 | 2 | 60.018474 |
2 | Female | 51 | 51 | training | 4.7294900 | 3 | 191.741262 |
2 | Female | 51 | 51 | validation | 1.4460252 | 1 | 58.624226 |
2 | Female | 52 | 52 | testing | 1.6974160 | 0 | 68.000000 |
2 | Female | 52 | 52 | training | 5.0432463 | 2 | 202.036948 |
2 | Female | 52 | 52 | validation | 1.5366237 | 1 | 61.558518 |
2 | Female | 53 | 53 | testing | 1.4784168 | 1 | 58.525664 |
2 | Female | 53 | 53 | training | 4.8295707 | 6 | 191.186838 |
2 | Female | 53 | 53 | validation | 1.5902498 | 2 | 62.952766 |
2 | Female | 54 | 54 | testing | 1.6947829 | 1 | 66.295686 |
2 | Female | 54 | 54 | training | 4.6451937 | 3 | 181.708408 |
2 | Female | 54 | 54 | validation | 1.5109003 | 3 | 59.102656 |
2 | Female | 55 | 55 | testing | 1.7631058 | 2 | 68.149890 |
2 | Female | 55 | 55 | training | 5.3618306 | 2 | 207.252546 |
2 | Female | 55 | 55 | validation | 1.3915622 | 0 | 53.788496 |
2 | Female | 56 | 56 | testing | 1.6298730 | 0 | 63.000000 |
2 | Female | 56 | 56 | training | 4.7195716 | 3 | 182.427102 |
2 | Female | 56 | 56 | validation | 1.4746470 | 0 | 57.000000 |
2 | Female | 57 | 57 | testing | 1.4162112 | 3 | 54.741262 |
2 | Female | 57 | 57 | training | 4.7565980 | 5 | 183.858298 |
2 | Female | 57 | 57 | validation | 1.3130992 | 0 | 50.755642 |
2 | Female | 58 | 58 | testing | 2.9964141 | 1 | 115.821350 |
2 | Female | 58 | 58 | training | 3.2076320 | 2 | 123.985620 |
2 | Female | 58 | 58 | validation | 1.1900660 | 0 | 46.000000 |
2 | Female | 59 | 59 | testing | 3.0792329 | 4 | 119.022568 |
2 | Female | 59 | 59 | training | 3.5473548 | 3 | 137.117036 |
2 | Female | 59 | 59 | validation | 1.0089690 | 0 | 39.000000 |
2 | Female | 60 | 60 | testing | 2.4487131 | 6 | 94.650888 |
2 | Female | 60 | 60 | training | 3.0413564 | 1 | 117.558518 |
2 | Female | 60 | 60 | validation | 1.0089690 | 0 | 39.000000 |
2 | Female | 61 | 61 | testing | 1.0085970 | 0 | 38.985620 |
2 | Female | 61 | 61 | training | 2.7508257 | 2 | 106.328540 |
2 | Female | 61 | 61 | validation | 1.1468237 | 0 | 44.328540 |
2 | Female | 62 | 62 | testing | 1.2218868 | 1 | 47.229978 |
2 | Female | 62 | 62 | training | 3.3023502 | 7 | 127.646794 |
2 | Female | 62 | 62 | validation | 1.0730885 | 1 | 41.478430 |
2 | Female | 63 | 63 | testing | 1.1124530 | 1 | 43.000000 |
2 | Female | 63 | 63 | training | 3.1618397 | 4 | 122.215598 |
2 | Female | 63 | 63 | validation | 0.9733764 | 1 | 37.624226 |
2 | Female | 64 | 64 | testing | 0.9034130 | 2 | 34.919912 |
2 | Female | 64 | 64 | training | 2.5567131 | 3 | 98.825444 |
2 | Female | 64 | 64 | validation | 0.9551550 | 2 | 36.919912 |
2 | Female | 65 | 65 | testing | 1.0348400 | 0 | 40.000000 |
2 | Female | 65 | 65 | training | 2.9053076 | 5 | 112.299780 |
2 | Female | 65 | 65 | validation | 0.9830980 | 0 | 38.000000 |
2 | Female | 66 | 66 | testing | 1.2418080 | 0 | 48.000000 |
2 | Female | 66 | 66 | training | 2.0972509 | 0 | 81.065708 |
2 | Female | 66 | 66 | validation | 0.7439372 | 0 | 28.755642 |
2 | Female | 67 | 67 | testing | 1.0348400 | 0 | 40.000000 |
2 | Female | 67 | 67 | training | 2.4874938 | 3 | 96.149890 |
2 | Female | 67 | 67 | validation | 1.1124530 | 1 | 43.000000 |
2 | Female | 68 | 68 | testing | 0.7664084 | 0 | 29.624226 |
2 | Female | 68 | 68 | training | 2.8768867 | 6 | 111.201218 |
2 | Female | 68 | 68 | validation | 0.8194783 | 3 | 31.675554 |
2 | Female | 69 | 69 | testing | 1.0933817 | 0 | 42.262832 |
2 | Female | 69 | 69 | training | 2.4544511 | 1 | 94.872678 |
2 | Female | 69 | 69 | validation | 0.9250342 | 1 | 35.755642 |
2 | Female | 70 | 70 | testing | 1.6040020 | 0 | 62.000000 |
2 | Female | 70 | 70 | training | 1.8318471 | 4 | 70.806970 |
2 | Female | 70 | 70 | validation | 0.5819115 | 1 | 22.492810 |
2 | Female | 71 | 71 | testing | 1.5510380 | 1 | 59.952766 |
2 | Female | 71 | 71 | training | 1.8305192 | 0 | 70.755642 |
2 | Female | 71 | 71 | validation | 0.5174200 | 0 | 20.000000 |
2 | Female | 72 | 72 | testing | 1.6676435 | 2 | 64.459956 |
2 | Female | 72 | 72 | training | 1.8296692 | 3 | 70.722788 |
2 | Female | 72 | 72 | validation | 0.5691620 | 0 | 22.000000 |
2 | Female | 73 | 73 | testing | 0.5950330 | 1 | 23.000000 |
2 | Female | 73 | 73 | training | 1.8988885 | 4 | 73.398342 |
2 | Female | 73 | 73 | validation | 0.6561246 | 0 | 25.361394 |
2 | Female | 74 | 74 | testing | 0.5798395 | 1 | 22.412722 |
2 | Female | 74 | 74 | training | 1.6676435 | 0 | 64.459956 |
2 | Female | 74 | 74 | validation | 0.7243880 | 0 | 28.000000 |
2 | Female | 75 | 75 | testing | 0.5573684 | 0 | 21.544138 |
2 | Female | 75 | 75 | training | 1.8071981 | 3 | 69.854204 |
2 | Female | 75 | 75 | validation | 0.6430031 | 1 | 24.854204 |
2 | Female | 76 | 76 | testing | 0.5611403 | 1 | 21.689934 |
2 | Female | 76 | 76 | training | 1.4229050 | 0 | 55.000000 |
2 | Female | 76 | 76 | validation | 0.5216698 | 1 | 20.164270 |
2 | Female | 77 | 77 | testing | 0.5174200 | 0 | 20.000000 |
2 | Female | 77 | 77 | training | 1.5603876 | 3 | 60.314160 |
2 | Female | 77 | 77 | validation | 0.4801274 | 0 | 18.558518 |
2 | Female | 78 | 78 | testing | 0.5174200 | 0 | 20.000000 |
2 | Female | 78 | 78 | training | 1.5090177 | 1 | 58.328540 |
2 | Female | 78 | 78 | validation | 0.7328877 | 0 | 28.328540 |
2 | Female | 79 | 79 | testing | 0.4656780 | 0 | 18.000000 |
2 | Female | 79 | 79 | training | 1.5073177 | 1 | 58.262832 |
2 | Female | 79 | 79 | validation | 0.6009828 | 1 | 23.229978 |
2 | Female | 80 | 80 | testing | 0.4576563 | 0 | 17.689934 |
2 | Female | 80 | 80 | training | 1.5311168 | 2 | 59.182744 |
2 | Female | 80 | 80 | validation | 0.2845810 | 0 | 11.000000 |
2 | Female | 81 | 81 | testing | 0.4656780 | 0 | 18.000000 |
2 | Female | 81 | 81 | training | 1.5603876 | 2 | 60.314160 |
2 | Female | 81 | 81 | validation | 0.4263135 | 0 | 16.478430 |
2 | Female | 82 | 82 | testing | 0.6353534 | 2 | 24.558518 |
2 | Female | 82 | 82 | training | 1.0577891 | 2 | 40.887058 |
2 | Female | 82 | 82 | validation | 0.3647439 | 0 | 14.098562 |
2 | Female | 83 | 83 | testing | 0.5691620 | 0 | 22.000000 |
2 | Female | 83 | 83 | training | 1.0607110 | 1 | 41.000000 |
2 | Female | 83 | 83 | validation | 0.4398070 | 0 | 17.000000 |
2 | Female | 84 | 84 | testing | 0.6726460 | 0 | 26.000000 |
2 | Female | 84 | 84 | training | 0.9670546 | 2 | 37.379868 |
2 | Female | 84 | 84 | validation | 0.3621940 | 1 | 14.000000 |
2 | Female | 85 | 85 | testing | 0.2587100 | 0 | 10.000000 |
2 | Female | 85 | 85 | training | 0.9648767 | 0 | 37.295686 |
2 | Female | 85 | 85 | validation | 0.2040461 | 2 | 7.887058 |
2 | Female | 86 | 86 | testing | 0.2845810 | 0 | 11.000000 |
2 | Female | 86 | 86 | training | 0.9657267 | 1 | 37.328540 |
2 | Female | 86 | 86 | validation | 0.4656780 | 0 | 18.000000 |
2 | Female | 87 | 87 | testing | 0.3104520 | 0 | 12.000000 |
2 | Female | 87 | 87 | training | 0.9441055 | 1 | 36.492810 |
2 | Female | 87 | 87 | validation | 0.3621940 | 0 | 14.000000 |
2 | Female | 88 | 88 | testing | 0.2069680 | 0 | 8.000000 |
2 | Female | 88 | 88 | training | 0.7621585 | 0 | 29.459956 |
2 | Female | 88 | 88 | validation | 0.3880650 | 0 | 15.000000 |
2 | Female | 89 | 89 | testing | 0.2328390 | 0 | 9.000000 |
2 | Female | 89 | 89 | training | 0.8588428 | 0 | 33.197124 |
2 | Female | 89 | 89 | validation | 0.4139360 | 0 | 16.000000 |
2 | Female | 90 | 90 | testing | 0.2612599 | 1 | 10.098562 |
2 | Female | 90 | 90 | training | 0.7863296 | 1 | 30.394248 |
2 | Female | 90 | 90 | validation | 0.3363230 | 0 | 13.000000 |
2 | Female | 91 | 91 | testing | 0.3049802 | 1 | 11.788496 |
2 | Female | 91 | 91 | training | 0.7723581 | 0 | 29.854204 |
2 | Female | 91 | 91 | validation | 0.4139360 | 0 | 16.000000 |
2 | Female | 92 | 92 | testing | 0.2197175 | 0 | 8.492810 |
2 | Female | 92 | 92 | training | 0.6726460 | 0 | 26.000000 |
2 | Female | 92 | 92 | validation | 0.3880650 | 0 | 15.000000 |
2 | Female | 93 | 93 | testing | 0.1552260 | 0 | 6.000000 |
2 | Female | 93 | 93 | training | 0.6069325 | 1 | 23.459956 |
2 | Female | 93 | 93 | validation | 0.3104520 | 0 | 12.000000 |
2 | Female | 94 | 94 | testing | 0.6467750 | 0 | 25.000000 |
2 | Female | 94 | 94 | training | 0.6209040 | 1 | 24.000000 |
2 | Female | 94 | 94 | validation | 0.1552260 | 0 | 6.000000 |
2 | Female | 95 | 95 | testing | 0.5691620 | 0 | 22.000000 |
2 | Female | 95 | 95 | training | 0.3880650 | 0 | 15.000000 |
2 | Female | 95 | 95 | validation | 0.2370888 | 1 | 9.164270 |
2 | Female | 96 | 96 | testing | 0.4915490 | 0 | 19.000000 |
2 | Female | 96 | 96 | training | 0.5662401 | 2 | 21.887058 |
2 | Female | 96 | 96 | validation | 0.2587100 | 0 | 10.000000 |
2 | Female | 97 | 97 | testing | 0.3104520 | 0 | 12.000000 |
2 | Female | 97 | 97 | training | 0.5301695 | 2 | 20.492810 |
2 | Female | 97 | 97 | validation | 0.2069680 | 0 | 8.000000 |
2 | Female | 98 | 98 | testing | 0.2069680 | 0 | 8.000000 |
2 | Female | 98 | 98 | training | 0.5950330 | 0 | 23.000000 |
2 | Female | 98 | 98 | validation | 0.1034840 | 0 | 4.000000 |
2 | Female | 99 | 99 | testing | 0.1810970 | 0 | 7.000000 |
2 | Female | 99 | 99 | training | 0.5000487 | 0 | 19.328540 |
2 | Female | 99 | 99 | validation | 0.1552260 | 0 | 6.000000 |
2 | Female | 100 | 100 | testing | 0.2845810 | 0 | 11.000000 |
2 | Female | 100 | 100 | training | 0.4542564 | 1 | 17.558518 |
2 | Female | 100 | 100 | validation | 0.1187834 | 1 | 4.591372 |
2 | Female | 101 | 101 | testing | 0.2069680 | 0 | 8.000000 |
2 | Female | 101 | 101 | training | 0.4059143 | 1 | 15.689934 |
2 | Female | 101 | 101 | validation | 0.1293550 | 0 | 5.000000 |
2 | Female | 102 | 102 | testing | 0.1552260 | 0 | 6.000000 |
2 | Female | 102 | 102 | training | 0.5174200 | 0 | 20.000000 |
2 | Female | 102 | 102 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 103 | 103 | testing | 0.2845810 | 0 | 11.000000 |
2 | Female | 103 | 103 | training | 0.5174200 | 0 | 20.000000 |
2 | Female | 103 | 103 | validation | 0.1552260 | 0 | 6.000000 |
2 | Female | 104 | 104 | testing | 0.3104520 | 0 | 12.000000 |
2 | Female | 104 | 104 | training | 0.4398070 | 0 | 17.000000 |
2 | Female | 104 | 104 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 105 | 105 | testing | 0.2587100 | 1 | 10.000000 |
2 | Female | 105 | 105 | training | 0.4843772 | 0 | 18.722788 |
2 | Female | 105 | 105 | validation | 0.1293550 | 0 | 5.000000 |
2 | Female | 106 | 106 | testing | 0.3621940 | 0 | 14.000000 |
2 | Female | 106 | 106 | training | 0.2587100 | 0 | 10.000000 |
2 | Female | 106 | 106 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 107 | 107 | testing | 0.4398070 | 0 | 17.000000 |
2 | Female | 107 | 107 | training | 0.2845810 | 0 | 11.000000 |
2 | Female | 107 | 107 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 108 | 108 | testing | 0.3931648 | 0 | 15.197124 |
2 | Female | 108 | 108 | training | 0.4139360 | 0 | 16.000000 |
2 | Female | 108 | 108 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 109 | 109 | testing | 0.1136836 | 1 | 4.394248 |
2 | Female | 109 | 109 | training | 0.2328390 | 0 | 9.000000 |
2 | Female | 109 | 109 | validation | 0.0776130 | 0 | 3.000000 |
2 | Female | 110 | 110 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 110 | 110 | training | 0.2587100 | 0 | 10.000000 |
2 | Female | 110 | 110 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 111 | 111 | testing | 0.0517420 | 0 | 2.000000 |
2 | Female | 111 | 111 | training | 0.2328390 | 0 | 9.000000 |
2 | Female | 111 | 111 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 112 | 112 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 112 | 112 | training | 0.2913807 | 1 | 11.262832 |
2 | Female | 112 | 112 | validation | 0.0517420 | 1 | 2.000000 |
2 | Female | 113 | 113 | testing | 0.0610916 | 1 | 2.361394 |
2 | Female | 113 | 113 | training | 0.2532382 | 1 | 9.788496 |
2 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 114 | 114 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 114 | 114 | training | 0.2489884 | 1 | 9.624226 |
2 | Female | 114 | 114 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 115 | 115 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 115 | 115 | training | 0.2231174 | 1 | 8.624226 |
2 | Female | 116 | 116 | testing | 0.1810970 | 0 | 7.000000 |
2 | Female | 116 | 116 | training | 0.2587100 | 0 | 10.000000 |
2 | Female | 116 | 116 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 117 | 117 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 117 | 117 | training | 0.2328390 | 0 | 9.000000 |
2 | Female | 118 | 118 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 118 | 118 | training | 0.1552260 | 0 | 6.000000 |
2 | Female | 118 | 118 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 119 | 119 | testing | 0.2069680 | 0 | 8.000000 |
2 | Female | 119 | 119 | training | 0.2146177 | 1 | 8.295686 |
2 | Female | 119 | 119 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 120 | 120 | testing | 0.1810970 | 0 | 7.000000 |
2 | Female | 120 | 120 | training | 0.1034840 | 0 | 4.000000 |
2 | Female | 120 | 120 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 121 | 121 | training | 0.1810970 | 0 | 7.000000 |
2 | Female | 121 | 121 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 122 | 122 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 122 | 122 | training | 0.1810970 | 0 | 7.000000 |
2 | Female | 122 | 122 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 123 | 123 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 123 | 123 | training | 0.1034840 | 0 | 4.000000 |
2 | Female | 123 | 123 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 124 | 124 | training | 0.1034840 | 0 | 4.000000 |
2 | Female | 124 | 124 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 125 | 125 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 125 | 125 | training | 0.1810970 | 0 | 7.000000 |
2 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 126 | 126 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 126 | 126 | training | 0.0517420 | 0 | 2.000000 |
2 | Female | 126 | 126 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 127 | 127 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 127 | 127 | training | 0.1034840 | 0 | 4.000000 |
2 | Female | 127 | 127 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 128 | 128 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 128 | 128 | training | 0.0517420 | 0 | 2.000000 |
2 | Female | 128 | 128 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 129 | 129 | testing | 0.1293550 | 0 | 5.000000 |
2 | Female | 129 | 129 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 129 | 129 | validation | 0.0517420 | 0 | 2.000000 |
2 | Female | 130 | 130 | testing | 0.2069680 | 0 | 8.000000 |
2 | Female | 130 | 130 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 131 | 131 | testing | 0.1810970 | 0 | 7.000000 |
2 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 132 | 132 | testing | 0.2328390 | 0 | 9.000000 |
2 | Female | 132 | 132 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 133 | 133 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 134 | 134 | testing | 0.1810970 | 0 | 7.000000 |
2 | Female | 134 | 134 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 134 | 134 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 135 | 135 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 135 | 135 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 135 | 135 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 136 | 136 | testing | 0.1293550 | 0 | 5.000000 |
2 | Female | 137 | 137 | testing | 0.1552260 | 0 | 6.000000 |
2 | Female | 137 | 137 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 138 | 138 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 139 | 139 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 140 | 140 | testing | 0.1293550 | 0 | 5.000000 |
2 | Female | 140 | 140 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 141 | 141 | testing | 0.0776130 | 0 | 3.000000 |
2 | Female | 141 | 141 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 141 | 141 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 142 | 142 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 143 | 143 | testing | 0.1034840 | 0 | 4.000000 |
2 | Female | 143 | 143 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 144 | 144 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 144 | 144 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
2 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 148 | 148 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 150 | 150 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 154 | 154 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 156 | 156 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 183 | training | 0.0101996 | 0 | 0.394248 |
2 | Female | 160 | 184 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 185 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 187 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 188 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 189 | training | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 190 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 192 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 194 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 197 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 200 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 201 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 202 | testing | 0.0258710 | 0 | 1.000000 |
2 | Female | 160 | 203 | testing | 0.0258710 | 0 | 1.000000 |
2 | Male | 1 | 1 | testing | 2.9742749 | 1 | 13.841820 |
2 | Male | 1 | 1 | training | 14.6145922 | 8 | 68.014074 |
2 | Male | 1 | 1 | validation | 4.9924225 | 5 | 23.233970 |
2 | Male | 2 | 2 | testing | 5.1997346 | 2 | 43.252546 |
2 | Male | 2 | 2 | training | 20.6466310 | 13 | 171.743258 |
2 | Male | 2 | 2 | validation | 5.9232635 | 4 | 49.271020 |
2 | Male | 3 | 3 | testing | 6.6906169 | 5 | 68.730976 |
2 | Male | 3 | 3 | training | 24.8183671 | 15 | 254.952664 |
2 | Male | 3 | 3 | validation | 6.3683985 | 7 | 65.420910 |
2 | Male | 4 | 4 | testing | 11.0753457 | 6 | 146.406326 |
2 | Male | 4 | 4 | training | 47.7718690 | 30 | 631.502076 |
2 | Male | 4 | 4 | validation | 16.0491524 | 10 | 212.155674 |
2 | Male | 5 | 5 | testing | 10.5418835 | 16 | 170.453764 |
2 | Male | 5 | 5 | training | 38.6131059 | 29 | 624.342818 |
2 | Male | 5 | 5 | validation | 12.0767315 | 8 | 195.271020 |
2 | Male | 6 | 6 | testing | 9.2267964 | 3 | 170.661174 |
2 | Male | 6 | 6 | training | 34.9879319 | 31 | 647.145694 |
2 | Male | 6 | 6 | validation | 11.3266715 | 8 | 209.500998 |
2 | Male | 7 | 7 | testing | 8.6040890 | 4 | 174.394248 |
2 | Male | 7 | 7 | training | 30.7972254 | 26 | 624.221688 |
2 | Male | 7 | 7 | validation | 10.6134312 | 8 | 215.121130 |
2 | Male | 8 | 8 | testing | 6.2572458 | 10 | 135.435290 |
2 | Male | 8 | 8 | training | 25.3043901 | 15 | 547.702216 |
2 | Male | 8 | 8 | validation | 8.4727116 | 10 | 183.388056 |
2 | Male | 9 | 9 | testing | 6.1155833 | 8 | 138.581086 |
2 | Male | 9 | 9 | training | 24.7243062 | 14 | 560.260734 |
2 | Male | 9 | 9 | validation | 8.6106955 | 9 | 195.121130 |
2 | Male | 10 | 10 | testing | 11.1271864 | 7 | 260.650888 |
2 | Male | 10 | 10 | training | 18.9500628 | 13 | 443.899340 |
2 | Male | 10 | 10 | validation | 6.0138546 | 5 | 140.872678 |
2 | Male | 11 | 11 | testing | 11.9866539 | 11 | 288.570800 |
2 | Male | 11 | 11 | training | 17.1943427 | 12 | 413.942480 |
2 | Male | 11 | 11 | validation | 6.3759544 | 5 | 153.496904 |
2 | Male | 12 | 12 | testing | 10.7281033 | 8 | 264.956860 |
2 | Male | 12 | 12 | training | 16.5681408 | 12 | 409.190932 |
2 | Male | 12 | 12 | validation | 5.5465478 | 3 | 136.985620 |
2 | Male | 13 | 13 | testing | 5.0930215 | 2 | 129.117036 |
2 | Male | 13 | 13 | training | 15.6412778 | 14 | 396.533852 |
2 | Male | 13 | 13 | validation | 5.0445050 | 3 | 127.887058 |
2 | Male | 14 | 14 | testing | 5.0685118 | 3 | 131.985620 |
2 | Male | 14 | 14 | training | 15.2257219 | 9 | 396.482524 |
2 | Male | 14 | 14 | validation | 4.9343809 | 2 | 128.492810 |
2 | Male | 15 | 15 | testing | 5.0381588 | 3 | 134.591372 |
2 | Male | 15 | 15 | training | 15.7552185 | 5 | 420.891152 |
2 | Male | 15 | 15 | validation | 4.6295470 | 2 | 123.675554 |
2 | Male | 16 | 16 | testing | 4.2987146 | 4 | 117.412722 |
2 | Male | 16 | 16 | training | 13.7590448 | 9 | 375.806970 |
2 | Male | 16 | 16 | validation | 5.0158440 | 1 | 137.000000 |
2 | Male | 17 | 17 | testing | 3.8857649 | 5 | 108.036948 |
2 | Male | 17 | 17 | training | 14.7265290 | 7 | 409.445576 |
2 | Male | 17 | 17 | validation | 4.7236408 | 5 | 131.332634 |
2 | Male | 18 | 18 | testing | 3.9840164 | 4 | 112.266926 |
2 | Male | 18 | 18 | training | 13.4766790 | 7 | 379.763830 |
2 | Male | 18 | 18 | validation | 4.4173660 | 5 | 124.478430 |
2 | Male | 19 | 19 | testing | 4.1136519 | 2 | 117.051328 |
2 | Male | 19 | 19 | training | 13.7807050 | 7 | 392.121130 |
2 | Male | 19 | 19 | validation | 3.9395919 | 1 | 112.098562 |
2 | Male | 20 | 20 | testing | 3.8727103 | 5 | 110.905532 |
2 | Male | 20 | 20 | training | 12.3568800 | 7 | 353.872678 |
2 | Male | 20 | 20 | validation | 3.8337045 | 3 | 109.788496 |
2 | Male | 21 | 21 | testing | 3.8217994 | 4 | 109.843918 |
2 | Male | 21 | 21 | training | 12.0513793 | 11 | 346.373676 |
2 | Male | 21 | 21 | validation | 3.8010814 | 3 | 109.248452 |
2 | Male | 22 | 22 | testing | 6.4984370 | 0 | 187.000000 |
2 | Male | 22 | 22 | training | 9.0035767 | 7 | 259.088276 |
2 | Male | 22 | 22 | validation | 2.7533210 | 2 | 79.229978 |
2 | Male | 23 | 23 | testing | 6.7013064 | 6 | 192.726882 |
2 | Male | 23 | 23 | training | 8.7387294 | 10 | 251.322348 |
2 | Male | 23 | 23 | validation | 3.1835812 | 1 | 91.558518 |
2 | Male | 24 | 24 | testing | 6.1289563 | 4 | 175.942480 |
2 | Male | 24 | 24 | training | 8.6346447 | 5 | 247.872678 |
2 | Male | 24 | 24 | validation | 2.5002513 | 3 | 71.774116 |
2 | Male | 25 | 25 | testing | 2.8646700 | 0 | 82.000000 |
2 | Male | 25 | 25 | training | 8.4001092 | 7 | 240.449670 |
2 | Male | 25 | 25 | validation | 2.5978153 | 2 | 74.361394 |
2 | Male | 26 | 26 | testing | 3.0080878 | 3 | 85.788496 |
2 | Male | 26 | 26 | training | 8.1254149 | 6 | 231.730976 |
2 | Male | 26 | 26 | validation | 2.8212479 | 1 | 80.459956 |
2 | Male | 27 | 27 | testing | 2.7396994 | 5 | 77.792590 |
2 | Male | 27 | 27 | training | 7.9708385 | 4 | 226.328540 |
2 | Male | 27 | 27 | validation | 2.8792702 | 2 | 81.755642 |
2 | Male | 28 | 28 | testing | 2.8994544 | 4 | 81.924006 |
2 | Male | 28 | 28 | training | 8.7913141 | 5 | 248.398342 |
2 | Male | 28 | 28 | validation | 2.4189375 | 0 | 68.347014 |
2 | Male | 29 | 29 | testing | 2.3748987 | 2 | 66.755642 |
2 | Male | 29 | 29 | training | 7.5574522 | 6 | 212.431196 |
2 | Male | 29 | 29 | validation | 2.4694270 | 4 | 69.412722 |
2 | Male | 30 | 30 | testing | 2.6681973 | 4 | 74.609846 |
2 | Male | 30 | 30 | training | 7.7007257 | 5 | 215.332634 |
2 | Male | 30 | 30 | validation | 2.5327131 | 2 | 70.821350 |
2 | Male | 31 | 31 | testing | 2.3507924 | 3 | 65.394248 |
2 | Male | 31 | 31 | training | 7.7147947 | 5 | 214.609846 |
2 | Male | 31 | 31 | validation | 2.2287760 | 0 | 62.000000 |
2 | Male | 32 | 32 | testing | 2.4821795 | 1 | 68.689934 |
2 | Male | 32 | 32 | training | 7.4684278 | 6 | 206.675554 |
2 | Male | 32 | 32 | validation | 2.4248216 | 2 | 67.102656 |
2 | Male | 33 | 33 | testing | 2.1921053 | 3 | 60.347014 |
2 | Male | 33 | 33 | training | 7.1396145 | 3 | 196.548232 |
2 | Male | 33 | 33 | validation | 2.1563026 | 3 | 59.361394 |
2 | Male | 34 | 34 | testing | 4.8611605 | 1 | 133.131416 |
2 | Male | 34 | 34 | training | 5.1959342 | 5 | 142.299780 |
2 | Male | 34 | 34 | validation | 1.4929500 | 2 | 40.887058 |
2 | Male | 35 | 35 | testing | 3.6224140 | 1 | 98.689934 |
2 | Male | 35 | 35 | training | 5.1719376 | 2 | 140.905532 |
2 | Male | 35 | 35 | validation | 1.8726331 | 1 | 51.018474 |
2 | Male | 36 | 36 | testing | 4.0363612 | 4 | 109.398342 |
2 | Male | 36 | 36 | training | 5.1884714 | 2 | 140.624226 |
2 | Male | 36 | 36 | validation | 1.6821393 | 1 | 45.591372 |
2 | Male | 37 | 37 | testing | 1.6867495 | 4 | 45.478430 |
2 | Male | 37 | 37 | training | 5.4846016 | 4 | 147.876772 |
2 | Male | 37 | 37 | validation | 1.6131048 | 2 | 43.492810 |
2 | Male | 38 | 38 | testing | 2.0004969 | 2 | 53.657080 |
2 | Male | 38 | 38 | training | 5.3009992 | 4 | 142.182744 |
2 | Male | 38 | 38 | validation | 1.4974445 | 2 | 40.164270 |
2 | Male | 39 | 39 | testing | 1.4149682 | 1 | 37.755642 |
2 | Male | 39 | 39 | training | 4.8218348 | 3 | 128.661174 |
2 | Male | 39 | 39 | validation | 1.5587198 | 0 | 41.591372 |
2 | Male | 40 | 40 | testing | 1.2808820 | 0 | 34.000000 |
2 | Male | 40 | 40 | training | 5.1003200 | 6 | 135.383962 |
2 | Male | 40 | 40 | validation | 1.3482600 | 2 | 35.788496 |
2 | Male | 41 | 41 | testing | 1.4011530 | 0 | 37.000000 |
2 | Male | 41 | 41 | training | 4.2078910 | 2 | 111.117036 |
2 | Male | 41 | 41 | validation | 1.4390220 | 0 | 38.000000 |
2 | Male | 42 | 42 | testing | 1.2694208 | 0 | 33.347014 |
2 | Male | 42 | 42 | training | 4.8907884 | 3 | 128.478430 |
2 | Male | 42 | 42 | validation | 1.6000647 | 0 | 42.032854 |
2 | Male | 43 | 43 | testing | 1.3782829 | 1 | 36.018474 |
2 | Male | 43 | 43 | training | 4.8725106 | 4 | 127.332634 |
2 | Male | 43 | 43 | validation | 1.4321855 | 1 | 37.427102 |
2 | Male | 44 | 44 | testing | 1.2574510 | 3 | 32.689934 |
2 | Male | 44 | 44 | training | 3.9040224 | 2 | 101.492810 |
2 | Male | 44 | 44 | validation | 1.3526288 | 0 | 35.164270 |
2 | Male | 45 | 45 | testing | 1.0053160 | 0 | 26.000000 |
2 | Male | 45 | 45 | training | 4.3186030 | 1 | 111.689934 |
2 | Male | 45 | 45 | validation | 1.3533100 | 0 | 35.000000 |
2 | Male | 46 | 46 | testing | 2.0600040 | 0 | 53.000000 |
2 | Male | 46 | 46 | training | 3.7926225 | 3 | 97.576992 |
2 | Male | 46 | 46 | validation | 0.9717000 | 0 | 25.000000 |
2 | Male | 47 | 47 | testing | 2.1573286 | 2 | 55.215598 |
2 | Male | 47 | 47 | training | 3.2219529 | 5 | 82.464050 |
2 | Male | 47 | 47 | validation | 0.8595620 | 0 | 22.000000 |
2 | Male | 48 | 48 | testing | 2.0815750 | 0 | 53.000000 |
2 | Male | 48 | 48 | training | 3.0969989 | 1 | 78.854204 |
2 | Male | 48 | 48 | validation | 1.0901028 | 1 | 27.755642 |
2 | Male | 49 | 49 | testing | 1.0220210 | 1 | 25.887058 |
2 | Male | 49 | 49 | training | 3.0193684 | 2 | 76.478430 |
2 | Male | 49 | 49 | validation | 1.2880044 | 1 | 32.624226 |
2 | Male | 50 | 50 | testing | 0.6532298 | 1 | 16.459956 |
2 | Male | 50 | 50 | training | 3.0617705 | 4 | 77.149890 |
2 | Male | 50 | 50 | validation | 0.9127780 | 0 | 23.000000 |
2 | Male | 51 | 51 | testing | 0.6781810 | 0 | 17.000000 |
2 | Male | 51 | 51 | training | 3.1914400 | 0 | 80.000000 |
2 | Male | 51 | 51 | validation | 0.9973250 | 0 | 25.000000 |
2 | Male | 52 | 52 | testing | 0.7508212 | 1 | 18.722788 |
2 | Male | 52 | 52 | training | 2.7368994 | 2 | 68.248452 |
2 | Male | 52 | 52 | validation | 1.0827540 | 0 | 27.000000 |
2 | Male | 53 | 53 | testing | 0.7534099 | 1 | 18.689934 |
2 | Male | 53 | 53 | training | 3.0227453 | 1 | 74.985620 |
2 | Male | 53 | 53 | validation | 1.0132375 | 2 | 25.135510 |
2 | Male | 54 | 54 | testing | 0.6078150 | 0 | 15.000000 |
2 | Male | 54 | 54 | training | 2.7495202 | 2 | 67.854204 |
2 | Male | 54 | 54 | validation | 0.8423706 | 1 | 20.788496 |
2 | Male | 55 | 55 | testing | 0.6924610 | 0 | 17.000000 |
2 | Male | 55 | 55 | training | 2.9742615 | 2 | 73.018474 |
2 | Male | 55 | 55 | validation | 0.8494543 | 1 | 20.854204 |
2 | Male | 56 | 56 | testing | 0.6109950 | 0 | 15.000000 |
2 | Male | 56 | 56 | training | 3.2179070 | 0 | 79.000000 |
2 | Male | 56 | 56 | validation | 0.8553930 | 0 | 21.000000 |
2 | Male | 57 | 57 | testing | 0.4928107 | 1 | 12.098562 |
2 | Male | 57 | 57 | training | 2.6952360 | 3 | 66.168364 |
2 | Male | 57 | 57 | validation | 0.6924610 | 0 | 17.000000 |
2 | Male | 58 | 58 | testing | 1.3923657 | 2 | 34.182744 |
2 | Male | 58 | 58 | training | 2.3284722 | 1 | 57.164270 |
2 | Male | 58 | 58 | validation | 0.4480630 | 0 | 11.000000 |
2 | Male | 59 | 59 | testing | 1.3476180 | 2 | 33.084182 |
2 | Male | 59 | 59 | training | 2.1588490 | 0 | 53.000000 |
2 | Male | 59 | 59 | validation | 0.6924610 | 0 | 17.000000 |
2 | Male | 60 | 60 | testing | 1.3216056 | 2 | 32.445576 |
2 | Male | 60 | 60 | training | 1.9551840 | 0 | 48.000000 |
2 | Male | 60 | 60 | validation | 0.4887960 | 0 | 12.000000 |
2 | Male | 61 | 61 | testing | 0.6324069 | 1 | 15.525664 |
2 | Male | 61 | 61 | training | 2.0127284 | 1 | 49.412722 |
2 | Male | 61 | 61 | validation | 0.4887960 | 0 | 12.000000 |
2 | Male | 62 | 62 | testing | 0.6417746 | 0 | 15.755642 |
2 | Male | 62 | 62 | training | 2.0020225 | 1 | 49.149890 |
2 | Male | 62 | 62 | validation | 0.4073300 | 0 | 10.000000 |
2 | Male | 63 | 63 | testing | 0.7492529 | 1 | 18.394248 |
2 | Male | 63 | 63 | training | 1.9312624 | 1 | 47.412722 |
2 | Male | 63 | 63 | validation | 0.3258640 | 0 | 8.000000 |
2 | Male | 64 | 64 | testing | 0.5295290 | 0 | 13.000000 |
2 | Male | 64 | 64 | training | 1.7388891 | 1 | 42.689934 |
2 | Male | 64 | 64 | validation | 0.3665970 | 0 | 9.000000 |
2 | Male | 65 | 65 | testing | 0.4887960 | 0 | 12.000000 |
2 | Male | 65 | 65 | training | 1.8104016 | 1 | 44.445576 |
2 | Male | 65 | 65 | validation | 0.4480630 | 0 | 11.000000 |
2 | Male | 66 | 66 | testing | 0.4233889 | 1 | 10.394248 |
2 | Male | 66 | 66 | training | 1.6754060 | 1 | 41.131416 |
2 | Male | 66 | 66 | validation | 0.5295290 | 0 | 13.000000 |
2 | Male | 67 | 67 | testing | 0.7299318 | 1 | 17.919912 |
2 | Male | 67 | 67 | training | 1.5885870 | 0 | 39.000000 |
2 | Male | 67 | 67 | validation | 0.4073300 | 0 | 10.000000 |
2 | Male | 68 | 68 | testing | 0.4480630 | 0 | 11.000000 |
2 | Male | 68 | 68 | training | 1.6293200 | 0 | 40.000000 |
2 | Male | 68 | 68 | validation | 0.5943504 | 0 | 14.591372 |
2 | Male | 69 | 69 | testing | 0.6109950 | 0 | 15.000000 |
2 | Male | 69 | 69 | training | 1.3441890 | 1 | 33.000000 |
2 | Male | 69 | 69 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 70 | 70 | testing | 1.0590580 | 0 | 26.000000 |
2 | Male | 70 | 70 | training | 1.3034560 | 0 | 32.000000 |
2 | Male | 70 | 70 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 71 | 71 | testing | 0.9368590 | 1 | 23.000000 |
2 | Male | 71 | 71 | training | 1.2988555 | 2 | 31.887058 |
2 | Male | 71 | 71 | validation | 0.2443980 | 0 | 6.000000 |
2 | Male | 72 | 72 | testing | 0.9649621 | 1 | 23.689934 |
2 | Male | 72 | 72 | training | 1.2881496 | 0 | 31.624226 |
2 | Male | 72 | 72 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 73 | 73 | testing | 0.3665970 | 0 | 9.000000 |
2 | Male | 73 | 73 | training | 0.8961260 | 1 | 22.000000 |
2 | Male | 73 | 73 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 74 | 74 | testing | 0.4887960 | 0 | 12.000000 |
2 | Male | 74 | 74 | training | 0.8821578 | 1 | 21.657080 |
2 | Male | 74 | 74 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 75 | 75 | testing | 0.2778540 | 2 | 6.821350 |
2 | Male | 75 | 75 | training | 0.8507925 | 1 | 20.887058 |
2 | Male | 75 | 75 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 76 | 76 | testing | 0.2443980 | 0 | 6.000000 |
2 | Male | 76 | 76 | training | 0.8553930 | 1 | 21.000000 |
2 | Male | 76 | 76 | validation | 0.3665970 | 0 | 9.000000 |
2 | Male | 77 | 77 | testing | 0.4247271 | 1 | 10.427102 |
2 | Male | 77 | 77 | training | 1.0531193 | 1 | 25.854204 |
2 | Male | 77 | 77 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 78 | 78 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 78 | 78 | training | 0.6597575 | 1 | 16.197124 |
2 | Male | 78 | 78 | validation | 0.2443980 | 0 | 6.000000 |
2 | Male | 79 | 79 | testing | 0.2371210 | 1 | 5.821350 |
2 | Male | 79 | 79 | training | 0.8146600 | 0 | 20.000000 |
2 | Male | 79 | 79 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 80 | 80 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 80 | 80 | training | 0.6517280 | 0 | 16.000000 |
2 | Male | 80 | 80 | validation | 0.1395961 | 1 | 3.427102 |
2 | Male | 81 | 81 | testing | 0.2851310 | 0 | 7.000000 |
2 | Male | 81 | 81 | training | 0.8553930 | 0 | 21.000000 |
2 | Male | 81 | 81 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 82 | 82 | testing | 0.4941490 | 1 | 12.131416 |
2 | Male | 82 | 82 | training | 0.5702620 | 0 | 14.000000 |
2 | Male | 82 | 82 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 83 | 83 | testing | 0.6109950 | 0 | 15.000000 |
2 | Male | 83 | 83 | training | 0.4941490 | 1 | 12.131416 |
2 | Male | 83 | 83 | validation | 0.1543168 | 1 | 3.788496 |
2 | Male | 84 | 84 | testing | 0.5002544 | 1 | 12.281306 |
2 | Male | 84 | 84 | training | 0.4480630 | 0 | 11.000000 |
2 | Male | 84 | 84 | validation | 0.2443980 | 0 | 6.000000 |
2 | Male | 85 | 85 | testing | 0.2183857 | 1 | 5.361394 |
2 | Male | 85 | 85 | training | 0.3665970 | 0 | 9.000000 |
2 | Male | 85 | 85 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 86 | 86 | testing | 0.2443980 | 0 | 6.000000 |
2 | Male | 86 | 86 | training | 0.3665970 | 0 | 9.000000 |
2 | Male | 86 | 86 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 87 | 87 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 87 | 87 | training | 0.3258640 | 0 | 8.000000 |
2 | Male | 87 | 87 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 88 | 88 | testing | 0.1682850 | 1 | 4.131416 |
2 | Male | 88 | 88 | training | 0.3258640 | 0 | 8.000000 |
2 | Male | 88 | 88 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 89 | 89 | testing | 0.2443980 | 0 | 6.000000 |
2 | Male | 89 | 89 | training | 0.4887960 | 0 | 12.000000 |
2 | Male | 89 | 89 | validation | 0.2397975 | 1 | 5.887058 |
2 | Male | 90 | 90 | testing | 0.2036650 | 0 | 5.000000 |
2 | Male | 90 | 90 | training | 0.2851310 | 0 | 7.000000 |
2 | Male | 90 | 90 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 91 | 91 | testing | 0.2036650 | 0 | 5.000000 |
2 | Male | 91 | 91 | training | 0.2443980 | 0 | 6.000000 |
2 | Male | 91 | 91 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 92 | 92 | testing | 0.2443980 | 0 | 6.000000 |
2 | Male | 92 | 92 | training | 0.5295290 | 0 | 13.000000 |
2 | Male | 92 | 92 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 93 | 93 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 93 | 93 | training | 0.4480630 | 0 | 11.000000 |
2 | Male | 93 | 93 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 94 | 94 | testing | 0.4480630 | 0 | 11.000000 |
2 | Male | 94 | 94 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 94 | 94 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 95 | 95 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 95 | 95 | training | 0.1629320 | 0 | 4.000000 |
2 | Male | 95 | 95 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 96 | 96 | testing | 0.3692735 | 1 | 9.065708 |
2 | Male | 96 | 96 | training | 0.2443980 | 0 | 6.000000 |
2 | Male | 96 | 96 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 97 | 97 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 97 | 97 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 97 | 97 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 98 | 98 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 98 | 98 | training | 0.1629320 | 0 | 4.000000 |
2 | Male | 98 | 98 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 99 | 99 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 99 | 99 | training | 0.2443980 | 0 | 6.000000 |
2 | Male | 99 | 99 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 100 | 100 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 100 | 100 | training | 0.2851310 | 0 | 7.000000 |
2 | Male | 100 | 100 | validation | 0.2036650 | 0 | 5.000000 |
2 | Male | 101 | 101 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 101 | 101 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 101 | 101 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 102 | 102 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 102 | 102 | training | 0.2851310 | 1 | 7.000000 |
2 | Male | 102 | 102 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 103 | 103 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 103 | 103 | training | 0.2443980 | 0 | 6.000000 |
2 | Male | 104 | 104 | training | 0.2851310 | 0 | 7.000000 |
2 | Male | 104 | 104 | validation | 0.0961867 | 1 | 2.361394 |
2 | Male | 105 | 105 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 105 | 105 | training | 0.2250769 | 0 | 5.525664 |
2 | Male | 105 | 105 | validation | 0.1629320 | 0 | 4.000000 |
2 | Male | 106 | 106 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 106 | 106 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 107 | 107 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 107 | 107 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 108 | 108 | testing | 0.0200736 | 1 | 0.492810 |
2 | Male | 108 | 108 | training | 0.2250769 | 1 | 5.525664 |
2 | Male | 108 | 108 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 109 | 109 | training | 0.1629320 | 0 | 4.000000 |
2 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 110 | 110 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 110 | 110 | training | 0.1629320 | 0 | 4.000000 |
2 | Male | 110 | 110 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 111 | 111 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 111 | 111 | training | 0.1221990 | 0 | 3.000000 |
2 | Male | 111 | 111 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 112 | 112 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 112 | 112 | training | 0.1629320 | 0 | 4.000000 |
2 | Male | 112 | 112 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 113 | 113 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 113 | 113 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 114 | 114 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 114 | 114 | training | 0.1221990 | 0 | 3.000000 |
2 | Male | 114 | 114 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 115 | 115 | training | 0.2036650 | 0 | 5.000000 |
2 | Male | 115 | 115 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 116 | 116 | training | 0.1221990 | 0 | 3.000000 |
2 | Male | 116 | 116 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 117 | 117 | training | 0.1221990 | 0 | 3.000000 |
2 | Male | 117 | 117 | validation | 0.1221990 | 0 | 3.000000 |
2 | Male | 118 | 118 | testing | 0.0434095 | 1 | 1.065708 |
2 | Male | 118 | 118 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 118 | 118 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 119 | 119 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 119 | 119 | training | 0.0814660 | 0 | 2.000000 |
2 | Male | 119 | 119 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 120 | 120 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 120 | 120 | training | 0.0814660 | 0 | 2.000000 |
2 | Male | 120 | 120 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 121 | 121 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 121 | 121 | training | 0.0814660 | 0 | 2.000000 |
2 | Male | 121 | 121 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 122 | 122 | training | 0.0814660 | 0 | 2.000000 |
2 | Male | 122 | 122 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 123 | 123 | testing | 0.2036650 | 0 | 5.000000 |
2 | Male | 123 | 123 | training | 0.0814660 | 0 | 2.000000 |
2 | Male | 123 | 123 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 124 | 124 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 124 | 124 | validation | 0.1068926 | 1 | 2.624226 |
2 | Male | 125 | 125 | testing | 0.2036650 | 0 | 5.000000 |
2 | Male | 125 | 125 | validation | 0.0814660 | 0 | 2.000000 |
2 | Male | 126 | 126 | testing | 0.1221990 | 0 | 3.000000 |
2 | Male | 126 | 126 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 127 | 127 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 127 | 127 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 127 | 127 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 128 | 128 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 129 | 129 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 129 | 129 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 129 | 129 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 130 | 130 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 130 | 130 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 131 | 131 | testing | 0.1629320 | 0 | 4.000000 |
2 | Male | 131 | 131 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 131 | 131 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 132 | 132 | testing | 0.0527772 | 0 | 1.295686 |
2 | Male | 132 | 132 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 133 | 133 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 135 | 135 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 135 | 135 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 136 | 136 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 136 | 136 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 136 | 136 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 137 | 137 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 137 | 137 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 138 | 138 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 139 | 139 | validation | 0.0407330 | 0 | 1.000000 |
2 | Male | 140 | 140 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 143 | 143 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 143 | 143 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 144 | 144 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 144 | 144 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 147 | 147 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 148 | 148 | training | 0.0407330 | 0 | 1.000000 |
2 | Male | 149 | 149 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 152 | 152 | testing | 0.0814660 | 0 | 2.000000 |
2 | Male | 153 | 153 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 154 | 154 | testing | 0.0728508 | 1 | 1.788496 |
2 | Male | 155 | 155 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 157 | 157 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 158 | 158 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 159 | 159 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 160 | 160 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 160 | 161 | testing | 0.0407330 | 0 | 1.000000 |
2 | Male | 160 | 163 | testing | 0.0407330 | 0 | 1.000000 |
3 | Female | 1 | 1 | testing | 3.9416334 | 3 | 30.895144 |
3 | Female | 1 | 1 | training | 18.7776306 | 9 | 147.182030 |
3 | Female | 1 | 1 | validation | 4.9164290 | 5 | 38.535746 |
3 | Female | 2 | 2 | testing | 6.7158688 | 2 | 61.073896 |
3 | Female | 2 | 2 | training | 39.9203900 | 35 | 363.034748 |
3 | Female | 2 | 2 | validation | 11.9615783 | 7 | 108.778210 |
3 | Female | 3 | 3 | testing | 8.8122305 | 8 | 106.119032 |
3 | Female | 3 | 3 | training | 41.8609975 | 48 | 504.100354 |
3 | Female | 3 | 3 | validation | 12.6145530 | 11 | 151.907528 |
3 | Female | 4 | 4 | testing | 13.4184356 | 11 | 251.517068 |
3 | Female | 4 | 4 | training | 61.9058377 | 53 | 1160.371840 |
3 | Female | 4 | 4 | validation | 19.6139238 | 18 | 367.646182 |
3 | Female | 5 | 5 | testing | 9.7416436 | 5 | 247.595466 |
3 | Female | 5 | 5 | training | 47.4566903 | 51 | 1206.168262 |
3 | Female | 5 | 5 | validation | 15.2244130 | 8 | 386.946574 |
3 | Female | 6 | 6 | testing | 8.3724341 | 5 | 244.186838 |
3 | Female | 6 | 6 | training | 39.1171665 | 49 | 1140.874572 |
3 | Female | 6 | 6 | validation | 12.1342870 | 15 | 353.903434 |
3 | Female | 7 | 7 | testing | 7.1420120 | 6 | 238.106750 |
3 | Female | 7 | 7 | training | 32.8286318 | 29 | 1094.470140 |
3 | Female | 7 | 7 | validation | 11.3244364 | 5 | 377.544138 |
3 | Female | 8 | 8 | testing | 6.8615841 | 9 | 258.303874 |
3 | Female | 8 | 8 | training | 30.1755023 | 19 | 1135.954762 |
3 | Female | 8 | 8 | validation | 9.4984020 | 9 | 357.566706 |
3 | Female | 9 | 9 | testing | 5.9091971 | 8 | 240.975334 |
3 | Female | 9 | 9 | training | 26.2233821 | 17 | 1069.381864 |
3 | Female | 9 | 9 | validation | 8.5045009 | 11 | 346.811064 |
3 | Female | 10 | 10 | testing | 11.9996052 | 9 | 504.694028 |
3 | Female | 10 | 10 | training | 18.9305276 | 20 | 796.203214 |
3 | Female | 10 | 10 | validation | 6.5167229 | 6 | 274.088276 |
3 | Female | 11 | 11 | testing | 11.6183361 | 11 | 495.388056 |
3 | Female | 11 | 11 | training | 20.1127040 | 17 | 857.574894 |
3 | Female | 11 | 11 | validation | 6.5612051 | 4 | 279.759736 |
3 | Female | 12 | 12 | testing | 11.4723480 | 9 | 492.312062 |
3 | Female | 12 | 12 | training | 19.6478730 | 17 | 843.147792 |
3 | Female | 12 | 12 | validation | 6.1562505 | 3 | 264.182744 |
3 | Female | 13 | 13 | testing | 5.7313086 | 7 | 248.646794 |
3 | Female | 13 | 13 | training | 19.3389016 | 17 | 838.997902 |
3 | Female | 13 | 13 | validation | 5.5643261 | 8 | 241.402436 |
3 | Female | 14 | 14 | testing | 5.5811790 | 4 | 249.985620 |
3 | Female | 14 | 14 | training | 17.9269977 | 14 | 802.965048 |
3 | Female | 14 | 14 | validation | 5.5925025 | 1 | 250.492810 |
3 | Female | 15 | 15 | testing | 5.6568853 | 4 | 266.708408 |
3 | Female | 15 | 15 | training | 16.1605818 | 19 | 761.932194 |
3 | Female | 15 | 15 | validation | 4.9268602 | 9 | 232.289494 |
3 | Female | 16 | 16 | testing | 5.4897957 | 1 | 272.459956 |
3 | Female | 16 | 16 | training | 15.0274296 | 12 | 745.815158 |
3 | Female | 16 | 16 | validation | 4.7906209 | 5 | 237.759736 |
3 | Female | 17 | 17 | testing | 4.9902611 | 3 | 257.084182 |
3 | Female | 17 | 17 | training | 14.0103166 | 14 | 721.772018 |
3 | Female | 17 | 17 | validation | 4.8105397 | 5 | 247.825444 |
3 | Female | 18 | 18 | testing | 4.7505783 | 4 | 249.741262 |
3 | Female | 18 | 18 | training | 14.0817089 | 7 | 740.285400 |
3 | Female | 18 | 18 | validation | 4.6912860 | 2 | 246.624226 |
3 | Female | 19 | 19 | testing | 4.6612856 | 4 | 246.004094 |
3 | Female | 19 | 19 | training | 13.3275244 | 16 | 703.373676 |
3 | Female | 19 | 19 | validation | 4.6388749 | 2 | 244.821350 |
3 | Female | 20 | 20 | testing | 4.4931663 | 4 | 235.379868 |
3 | Female | 20 | 20 | training | 14.0408802 | 8 | 735.548232 |
3 | Female | 20 | 20 | validation | 4.7622938 | 6 | 249.478430 |
3 | Female | 21 | 21 | testing | 4.4880078 | 4 | 231.938386 |
3 | Female | 21 | 21 | training | 13.9046232 | 14 | 718.585180 |
3 | Female | 21 | 21 | validation | 4.5472500 | 0 | 235.000000 |
3 | Female | 22 | 22 | testing | 8.4564663 | 7 | 429.829538 |
3 | Female | 22 | 22 | training | 11.0750474 | 11 | 562.928100 |
3 | Female | 22 | 22 | validation | 3.9303560 | 3 | 199.774116 |
3 | Female | 23 | 23 | testing | 7.7853492 | 8 | 389.092370 |
3 | Female | 23 | 23 | training | 11.4548028 | 7 | 572.482524 |
3 | Female | 23 | 23 | validation | 3.5508782 | 3 | 177.464050 |
3 | Female | 24 | 24 | testing | 7.6070771 | 12 | 375.250448 |
3 | Female | 24 | 24 | training | 11.1807772 | 12 | 551.537946 |
3 | Female | 24 | 24 | validation | 4.0424947 | 3 | 199.412722 |
3 | Female | 25 | 25 | testing | 3.3756252 | 1 | 165.821350 |
3 | Female | 25 | 25 | training | 10.8778688 | 8 | 534.355202 |
3 | Female | 25 | 25 | validation | 3.5207995 | 4 | 172.952766 |
3 | Female | 26 | 26 | testing | 3.0227912 | 5 | 149.332634 |
3 | Female | 26 | 26 | training | 10.3472358 | 13 | 511.176552 |
3 | Female | 26 | 26 | validation | 3.5673301 | 4 | 176.234072 |
3 | Female | 27 | 27 | testing | 3.2461130 | 3 | 162.281306 |
3 | Female | 27 | 27 | training | 10.0493502 | 13 | 502.392150 |
3 | Female | 27 | 27 | validation | 3.6973510 | 4 | 184.839824 |
3 | Female | 28 | 28 | testing | 3.0160550 | 6 | 152.665268 |
3 | Female | 28 | 28 | training | 10.0543835 | 8 | 508.928100 |
3 | Female | 28 | 28 | validation | 3.4185179 | 4 | 173.036948 |
3 | Female | 29 | 29 | testing | 3.0135114 | 3 | 153.774116 |
3 | Female | 29 | 29 | training | 9.7658246 | 4 | 498.332634 |
3 | Female | 29 | 29 | validation | 3.3533806 | 3 | 171.117036 |
3 | Female | 30 | 30 | testing | 3.0122667 | 2 | 153.985620 |
3 | Female | 30 | 30 | training | 9.8944748 | 9 | 505.800778 |
3 | Female | 30 | 30 | validation | 3.1989691 | 1 | 163.529758 |
3 | Female | 31 | 31 | testing | 2.8223597 | 3 | 143.741262 |
3 | Female | 31 | 31 | training | 9.4056885 | 9 | 479.026662 |
3 | Female | 31 | 31 | validation | 3.1799426 | 3 | 161.952766 |
3 | Female | 32 | 32 | testing | 2.9226765 | 3 | 147.774116 |
3 | Female | 32 | 32 | training | 9.2214619 | 2 | 466.248452 |
3 | Female | 32 | 32 | validation | 3.1528648 | 2 | 159.412722 |
3 | Female | 33 | 33 | testing | 2.7756519 | 1 | 139.032854 |
3 | Female | 33 | 33 | training | 9.0241785 | 9 | 452.022568 |
3 | Female | 33 | 33 | validation | 3.1144657 | 4 | 156.004094 |
3 | Female | 34 | 34 | testing | 4.9909714 | 6 | 247.383962 |
3 | Female | 34 | 34 | training | 7.7532481 | 5 | 384.299780 |
3 | Female | 34 | 34 | validation | 2.1544579 | 1 | 106.788496 |
3 | Female | 35 | 35 | testing | 4.8652820 | 6 | 238.482524 |
3 | Female | 35 | 35 | training | 6.9624799 | 3 | 341.281306 |
3 | Female | 35 | 35 | validation | 2.4655466 | 3 | 120.854204 |
3 | Female | 36 | 36 | testing | 5.2041276 | 2 | 252.186838 |
3 | Female | 36 | 36 | training | 7.2365407 | 4 | 350.675554 |
3 | Female | 36 | 36 | validation | 2.3413597 | 1 | 113.459956 |
3 | Female | 37 | 37 | testing | 2.2086522 | 5 | 105.788496 |
3 | Female | 37 | 37 | training | 6.8640167 | 9 | 328.767924 |
3 | Female | 37 | 37 | validation | 2.6304132 | 4 | 125.989714 |
3 | Female | 38 | 38 | testing | 2.4765698 | 3 | 117.234072 |
3 | Female | 38 | 38 | training | 6.9845233 | 8 | 330.628320 |
3 | Female | 38 | 38 | validation | 2.4613009 | 6 | 116.511284 |
3 | Female | 39 | 39 | testing | 2.2919478 | 4 | 107.215598 |
3 | Female | 39 | 39 | training | 7.1342546 | 9 | 333.735070 |
3 | Female | 39 | 39 | validation | 2.7181707 | 8 | 127.153984 |
3 | Female | 40 | 40 | testing | 2.1639107 | 0 | 100.032854 |
3 | Female | 40 | 40 | training | 6.7599330 | 4 | 312.496904 |
3 | Female | 40 | 40 | validation | 2.4660480 | 0 | 114.000000 |
3 | Female | 41 | 41 | testing | 2.0230069 | 3 | 92.412722 |
3 | Female | 41 | 41 | training | 6.6897903 | 7 | 305.595466 |
3 | Female | 41 | 41 | validation | 2.2260943 | 2 | 101.689934 |
3 | Female | 42 | 42 | testing | 2.2814404 | 2 | 102.985620 |
3 | Female | 42 | 42 | training | 6.1330140 | 6 | 276.848012 |
3 | Female | 42 | 42 | validation | 2.3795140 | 1 | 107.412722 |
3 | Female | 43 | 43 | testing | 2.1989493 | 2 | 98.084182 |
3 | Female | 43 | 43 | training | 6.6803090 | 6 | 297.975334 |
3 | Female | 43 | 43 | validation | 2.0074900 | 0 | 89.544138 |
3 | Female | 44 | 44 | testing | 2.2007360 | 1 | 97.000000 |
3 | Female | 44 | 44 | training | 5.9582780 | 5 | 262.618034 |
3 | Female | 44 | 44 | validation | 2.2804000 | 3 | 100.511284 |
3 | Female | 45 | 45 | testing | 2.1639445 | 2 | 94.248452 |
3 | Female | 45 | 45 | training | 6.3201286 | 6 | 275.266926 |
3 | Female | 45 | 45 | validation | 1.9633391 | 1 | 85.511284 |
3 | Female | 46 | 46 | testing | 3.3711761 | 5 | 145.084182 |
3 | Female | 46 | 46 | training | 4.7502584 | 8 | 204.435290 |
3 | Female | 46 | 46 | validation | 1.8307295 | 1 | 78.788496 |
3 | Female | 47 | 47 | testing | 3.2582998 | 3 | 138.562612 |
3 | Female | 47 | 47 | training | 5.1159848 | 4 | 217.562612 |
3 | Female | 47 | 47 | validation | 1.5755050 | 0 | 67.000000 |
3 | Female | 48 | 48 | testing | 2.9662470 | 3 | 124.642700 |
3 | Female | 48 | 48 | training | 4.6566868 | 2 | 195.675554 |
3 | Female | 48 | 48 | validation | 1.5184783 | 3 | 63.806970 |
3 | Female | 49 | 49 | testing | 1.6136280 | 0 | 67.000000 |
3 | Female | 49 | 49 | training | 4.7713016 | 9 | 198.110844 |
3 | Female | 49 | 49 | validation | 1.6950287 | 4 | 70.379868 |
3 | Female | 50 | 50 | testing | 1.5906510 | 2 | 65.262832 |
3 | Female | 50 | 50 | training | 4.6865721 | 4 | 192.285400 |
3 | Female | 50 | 50 | validation | 1.4923583 | 1 | 61.229978 |
3 | Female | 51 | 51 | testing | 1.3930970 | 3 | 56.478430 |
3 | Female | 51 | 51 | training | 4.2901105 | 5 | 173.928100 |
3 | Female | 51 | 51 | validation | 1.4432393 | 1 | 58.511284 |
3 | Female | 52 | 52 | testing | 1.3349286 | 2 | 53.478430 |
3 | Female | 52 | 52 | training | 4.7747640 | 3 | 191.281306 |
3 | Female | 52 | 52 | validation | 1.4703999 | 3 | 58.905532 |
3 | Female | 53 | 53 | testing | 1.3806925 | 1 | 54.657080 |
3 | Female | 53 | 53 | training | 4.2964965 | 2 | 170.084182 |
3 | Female | 53 | 53 | validation | 1.4995282 | 1 | 59.361394 |
3 | Female | 54 | 54 | testing | 1.5849680 | 0 | 62.000000 |
3 | Female | 54 | 54 | training | 4.4822035 | 3 | 175.332634 |
3 | Female | 54 | 54 | validation | 1.0758400 | 1 | 42.084182 |
3 | Female | 55 | 55 | testing | 1.3949620 | 0 | 53.919912 |
3 | Female | 55 | 55 | training | 4.1236886 | 3 | 159.394248 |
3 | Female | 55 | 55 | validation | 1.1124530 | 0 | 43.000000 |
3 | Female | 56 | 56 | testing | 1.5018459 | 2 | 58.051328 |
3 | Female | 56 | 56 | training | 3.8795339 | 2 | 149.956860 |
3 | Female | 56 | 56 | validation | 1.3432200 | 1 | 51.919912 |
3 | Female | 57 | 57 | testing | 1.1052812 | 1 | 42.722788 |
3 | Female | 57 | 57 | training | 4.2255786 | 3 | 163.332634 |
3 | Female | 57 | 57 | validation | 1.3503918 | 1 | 52.197124 |
3 | Female | 58 | 58 | testing | 2.1363494 | 4 | 82.576992 |
3 | Female | 58 | 58 | training | 3.4685198 | 5 | 134.069802 |
3 | Female | 58 | 58 | validation | 1.0862100 | 1 | 41.985620 |
3 | Female | 59 | 59 | testing | 2.0999067 | 1 | 81.168364 |
3 | Female | 59 | 59 | training | 2.9815927 | 2 | 115.248452 |
3 | Female | 59 | 59 | validation | 0.9619548 | 2 | 37.182744 |
3 | Female | 60 | 60 | testing | 2.0830133 | 3 | 80.515378 |
3 | Female | 60 | 60 | training | 3.4998627 | 2 | 135.281306 |
3 | Female | 60 | 60 | validation | 0.9313560 | 0 | 36.000000 |
3 | Female | 61 | 61 | testing | 0.9085128 | 1 | 35.117036 |
3 | Female | 61 | 61 | training | 2.9239009 | 2 | 113.018474 |
3 | Female | 61 | 61 | validation | 0.8278720 | 0 | 32.000000 |
3 | Female | 62 | 62 | testing | 0.9054850 | 0 | 35.000000 |
3 | Female | 62 | 62 | training | 3.0579837 | 3 | 118.201218 |
3 | Female | 62 | 62 | validation | 0.9088849 | 0 | 35.131416 |
3 | Female | 63 | 63 | testing | 0.6985170 | 0 | 27.000000 |
3 | Female | 63 | 63 | training | 3.0498561 | 4 | 117.887058 |
3 | Female | 63 | 63 | validation | 0.9326839 | 2 | 36.051328 |
3 | Female | 64 | 64 | testing | 0.8079508 | 1 | 31.229978 |
3 | Female | 64 | 64 | training | 3.1258751 | 4 | 120.825444 |
3 | Female | 64 | 64 | validation | 0.7490370 | 0 | 28.952766 |
3 | Female | 65 | 65 | testing | 0.7243880 | 0 | 28.000000 |
3 | Female | 65 | 65 | training | 2.8442160 | 4 | 109.938386 |
3 | Female | 65 | 65 | validation | 0.8588428 | 0 | 33.197124 |
3 | Female | 66 | 66 | testing | 0.7528089 | 1 | 29.098562 |
3 | Female | 66 | 66 | training | 2.7157110 | 3 | 104.971240 |
3 | Female | 66 | 66 | validation | 1.0115189 | 0 | 39.098562 |
3 | Female | 67 | 67 | testing | 0.9216344 | 1 | 35.624226 |
3 | Female | 67 | 67 | training | 2.4701225 | 3 | 95.478430 |
3 | Female | 67 | 67 | validation | 0.7243880 | 0 | 28.000000 |
3 | Female | 68 | 68 | testing | 0.6985170 | 0 | 27.000000 |
3 | Female | 68 | 68 | training | 2.4645447 | 2 | 95.262832 |
3 | Female | 68 | 68 | validation | 0.8796140 | 0 | 34.000000 |
3 | Female | 69 | 69 | testing | 0.8122006 | 0 | 31.394248 |
3 | Female | 69 | 69 | training | 2.5094870 | 0 | 97.000000 |
3 | Female | 69 | 69 | validation | 0.8796140 | 0 | 34.000000 |
3 | Female | 70 | 70 | testing | 1.5314888 | 3 | 59.197124 |
3 | Female | 70 | 70 | training | 1.8885830 | 0 | 73.000000 |
3 | Female | 70 | 70 | validation | 0.6552747 | 0 | 25.328540 |
3 | Female | 71 | 71 | testing | 1.1828942 | 2 | 45.722788 |
3 | Female | 71 | 71 | training | 1.6040020 | 0 | 62.000000 |
3 | Female | 71 | 71 | validation | 0.5691620 | 0 | 22.000000 |
3 | Female | 72 | 72 | testing | 1.2690069 | 1 | 49.051328 |
3 | Female | 72 | 72 | training | 1.7020142 | 1 | 65.788496 |
3 | Female | 72 | 72 | validation | 0.7761300 | 0 | 30.000000 |
3 | Female | 73 | 73 | testing | 0.5174200 | 0 | 20.000000 |
3 | Female | 73 | 73 | training | 1.7372348 | 3 | 67.149890 |
3 | Female | 73 | 73 | validation | 0.6726460 | 0 | 26.000000 |
3 | Female | 74 | 74 | testing | 0.4915490 | 0 | 19.000000 |
3 | Female | 74 | 74 | training | 1.7911547 | 2 | 69.234072 |
3 | Female | 74 | 74 | validation | 0.7243880 | 0 | 28.000000 |
3 | Female | 75 | 75 | testing | 0.2930807 | 1 | 11.328540 |
3 | Female | 75 | 75 | training | 1.4759749 | 1 | 57.051328 |
3 | Female | 75 | 75 | validation | 0.8020010 | 0 | 31.000000 |
3 | Female | 76 | 76 | testing | 0.5432910 | 0 | 21.000000 |
3 | Female | 76 | 76 | training | 1.7503563 | 0 | 67.657080 |
3 | Female | 76 | 76 | validation | 0.5267696 | 1 | 20.361394 |
3 | Female | 77 | 77 | testing | 0.5432910 | 1 | 21.000000 |
3 | Female | 77 | 77 | training | 1.7801051 | 3 | 68.806970 |
3 | Female | 77 | 77 | validation | 0.5432910 | 0 | 21.000000 |
3 | Female | 78 | 78 | testing | 0.4767276 | 1 | 18.427102 |
3 | Female | 78 | 78 | training | 1.5263890 | 2 | 59.000000 |
3 | Female | 78 | 78 | validation | 0.6726460 | 0 | 26.000000 |
3 | Female | 79 | 79 | testing | 0.4974988 | 1 | 19.229978 |
3 | Female | 79 | 79 | training | 1.6557440 | 0 | 64.000000 |
3 | Female | 79 | 79 | validation | 0.4915490 | 0 | 19.000000 |
3 | Female | 80 | 80 | testing | 0.4398070 | 0 | 17.000000 |
3 | Female | 80 | 80 | training | 1.2159370 | 0 | 47.000000 |
3 | Female | 80 | 80 | validation | 0.3880650 | 0 | 15.000000 |
3 | Female | 81 | 81 | testing | 0.4207357 | 0 | 16.262832 |
3 | Female | 81 | 81 | training | 1.7270352 | 1 | 66.755642 |
3 | Female | 81 | 81 | validation | 0.4656780 | 0 | 18.000000 |
3 | Female | 82 | 82 | testing | 0.8766921 | 0 | 33.887058 |
3 | Female | 82 | 82 | training | 1.0717606 | 1 | 41.427102 |
3 | Female | 82 | 82 | validation | 0.2845810 | 0 | 11.000000 |
3 | Female | 83 | 83 | testing | 1.2418080 | 1 | 48.000000 |
3 | Female | 83 | 83 | training | 0.8385495 | 2 | 32.412722 |
3 | Female | 83 | 83 | validation | 0.4915490 | 0 | 19.000000 |
3 | Female | 84 | 84 | testing | 0.8122006 | 1 | 31.394248 |
3 | Female | 84 | 84 | training | 0.7328877 | 0 | 28.328540 |
3 | Female | 84 | 84 | validation | 0.4398070 | 0 | 17.000000 |
3 | Female | 85 | 85 | testing | 0.4915490 | 0 | 19.000000 |
3 | Female | 85 | 85 | training | 0.8537430 | 0 | 33.000000 |
3 | Female | 85 | 85 | validation | 0.3363230 | 0 | 13.000000 |
3 | Female | 86 | 86 | testing | 0.5432910 | 0 | 21.000000 |
3 | Female | 86 | 86 | training | 0.8588428 | 1 | 33.197124 |
3 | Female | 86 | 86 | validation | 0.3923148 | 0 | 15.164270 |
3 | Female | 87 | 87 | testing | 0.4656780 | 0 | 18.000000 |
3 | Female | 87 | 87 | training | 0.7863296 | 2 | 30.394248 |
3 | Female | 87 | 87 | validation | 0.2587100 | 0 | 10.000000 |
3 | Female | 88 | 88 | testing | 0.6467750 | 0 | 25.000000 |
3 | Female | 88 | 88 | training | 0.6985170 | 0 | 27.000000 |
3 | Female | 88 | 88 | validation | 0.2328390 | 0 | 9.000000 |
3 | Female | 89 | 89 | testing | 0.4139360 | 0 | 16.000000 |
3 | Female | 89 | 89 | training | 1.0077470 | 3 | 38.952766 |
3 | Female | 89 | 89 | validation | 0.3621940 | 0 | 14.000000 |
3 | Female | 90 | 90 | testing | 0.4398070 | 0 | 17.000000 |
3 | Female | 90 | 90 | training | 0.8215502 | 1 | 31.755642 |
3 | Female | 90 | 90 | validation | 0.1810970 | 0 | 7.000000 |
3 | Female | 91 | 91 | testing | 0.5691620 | 0 | 22.000000 |
3 | Female | 91 | 91 | training | 0.7761300 | 0 | 30.000000 |
3 | Female | 91 | 91 | validation | 0.1034840 | 0 | 4.000000 |
3 | Female | 92 | 92 | testing | 0.4398070 | 0 | 17.000000 |
3 | Female | 92 | 92 | training | 0.7761300 | 0 | 30.000000 |
3 | Female | 92 | 92 | validation | 0.3363230 | 0 | 13.000000 |
3 | Female | 93 | 93 | testing | 0.5174200 | 0 | 20.000000 |
3 | Female | 93 | 93 | training | 0.9054850 | 0 | 35.000000 |
3 | Female | 93 | 93 | validation | 0.2328390 | 0 | 9.000000 |
3 | Female | 94 | 94 | testing | 0.6845455 | 1 | 26.459956 |
3 | Female | 94 | 94 | training | 0.4915490 | 0 | 19.000000 |
3 | Female | 94 | 94 | validation | 0.2845810 | 0 | 11.000000 |
3 | Female | 95 | 95 | testing | 0.6467750 | 0 | 25.000000 |
3 | Female | 95 | 95 | training | 0.4656780 | 0 | 18.000000 |
3 | Female | 95 | 95 | validation | 0.1552260 | 0 | 6.000000 |
3 | Female | 96 | 96 | testing | 0.7243880 | 0 | 28.000000 |
3 | Female | 96 | 96 | training | 0.5174200 | 0 | 20.000000 |
3 | Female | 96 | 96 | validation | 0.2328390 | 0 | 9.000000 |
3 | Female | 97 | 97 | testing | 0.2328390 | 0 | 9.000000 |
3 | Female | 97 | 97 | training | 0.5432910 | 0 | 21.000000 |
3 | Female | 97 | 97 | validation | 0.1552260 | 0 | 6.000000 |
3 | Female | 98 | 98 | testing | 0.2587100 | 0 | 10.000000 |
3 | Female | 98 | 98 | training | 0.4915490 | 0 | 19.000000 |
3 | Female | 98 | 98 | validation | 0.2587100 | 0 | 10.000000 |
3 | Female | 99 | 99 | testing | 0.2638098 | 1 | 10.197124 |
3 | Female | 99 | 99 | training | 0.4966488 | 0 | 19.197124 |
3 | Female | 99 | 99 | validation | 0.3104520 | 0 | 12.000000 |
3 | Female | 100 | 100 | testing | 0.2922307 | 1 | 11.295686 |
3 | Female | 100 | 100 | training | 0.4368851 | 1 | 16.887058 |
3 | Female | 100 | 100 | validation | 0.1810970 | 0 | 7.000000 |
3 | Female | 101 | 101 | testing | 0.2845810 | 0 | 11.000000 |
3 | Female | 101 | 101 | training | 0.4915490 | 0 | 19.000000 |
3 | Female | 101 | 101 | validation | 0.1810970 | 0 | 7.000000 |
3 | Female | 102 | 102 | testing | 0.2748594 | 1 | 10.624226 |
3 | Female | 102 | 102 | training | 0.4449068 | 0 | 17.197124 |
3 | Female | 102 | 102 | validation | 0.2069680 | 0 | 8.000000 |
3 | Female | 103 | 103 | testing | 0.1353048 | 1 | 5.229978 |
3 | Female | 103 | 103 | training | 0.3363230 | 0 | 13.000000 |
3 | Female | 103 | 103 | validation | 0.1810970 | 0 | 7.000000 |
3 | Female | 104 | 104 | testing | 0.1552260 | 0 | 6.000000 |
3 | Female | 104 | 104 | training | 0.4682279 | 1 | 18.098562 |
3 | Female | 104 | 104 | validation | 0.1810970 | 0 | 7.000000 |
3 | Female | 105 | 105 | testing | 0.1293550 | 0 | 5.000000 |
3 | Female | 105 | 105 | training | 0.2587100 | 0 | 10.000000 |
3 | Female | 105 | 105 | validation | 0.2069680 | 0 | 8.000000 |
3 | Female | 106 | 106 | testing | 0.3363230 | 0 | 13.000000 |
3 | Female | 106 | 106 | training | 0.2069680 | 0 | 8.000000 |
3 | Female | 106 | 106 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 107 | 107 | testing | 0.1696754 | 1 | 6.558518 |
3 | Female | 107 | 107 | training | 0.2328390 | 0 | 9.000000 |
3 | Female | 107 | 107 | validation | 0.1034840 | 0 | 4.000000 |
3 | Female | 108 | 108 | testing | 0.2706095 | 1 | 10.459956 |
3 | Female | 108 | 108 | training | 0.1810970 | 0 | 7.000000 |
3 | Female | 108 | 108 | validation | 0.1293550 | 0 | 5.000000 |
3 | Female | 109 | 109 | testing | 0.2328390 | 0 | 9.000000 |
3 | Female | 109 | 109 | training | 0.2069680 | 0 | 8.000000 |
3 | Female | 109 | 109 | validation | 0.1034840 | 0 | 4.000000 |
3 | Female | 110 | 110 | testing | 0.1810970 | 0 | 7.000000 |
3 | Female | 110 | 110 | training | 0.2069680 | 0 | 8.000000 |
3 | Female | 110 | 110 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 111 | 111 | testing | 0.1552260 | 0 | 6.000000 |
3 | Female | 111 | 111 | training | 0.1810970 | 0 | 7.000000 |
3 | Female | 111 | 111 | validation | 0.0352206 | 0 | 1.361394 |
3 | Female | 112 | 112 | testing | 0.1552260 | 0 | 6.000000 |
3 | Female | 112 | 112 | training | 0.2328390 | 0 | 9.000000 |
3 | Female | 112 | 112 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 113 | 113 | testing | 0.1552260 | 0 | 6.000000 |
3 | Female | 113 | 113 | training | 0.1810970 | 0 | 7.000000 |
3 | Female | 113 | 113 | validation | 0.1034840 | 0 | 4.000000 |
3 | Female | 114 | 114 | testing | 0.1552260 | 0 | 6.000000 |
3 | Female | 114 | 114 | training | 0.1810970 | 0 | 7.000000 |
3 | Female | 114 | 114 | validation | 0.0776130 | 0 | 3.000000 |
3 | Female | 115 | 115 | testing | 0.1810970 | 0 | 7.000000 |
3 | Female | 115 | 115 | training | 0.1552260 | 0 | 6.000000 |
3 | Female | 115 | 115 | validation | 0.1293550 | 0 | 5.000000 |
3 | Female | 116 | 116 | testing | 0.2069680 | 0 | 8.000000 |
3 | Female | 116 | 116 | training | 0.2069680 | 0 | 8.000000 |
3 | Female | 116 | 116 | validation | 0.0929124 | 1 | 3.591372 |
3 | Female | 117 | 117 | testing | 0.1077338 | 1 | 4.164270 |
3 | Female | 117 | 117 | training | 0.1997962 | 1 | 7.722788 |
3 | Female | 117 | 117 | validation | 0.0776130 | 0 | 3.000000 |
3 | Female | 118 | 118 | testing | 0.2587100 | 0 | 10.000000 |
3 | Female | 118 | 118 | training | 0.1810970 | 0 | 7.000000 |
3 | Female | 118 | 118 | validation | 0.1034840 | 0 | 4.000000 |
3 | Female | 119 | 119 | testing | 0.2188675 | 1 | 8.459956 |
3 | Female | 120 | 120 | testing | 0.1810970 | 0 | 7.000000 |
3 | Female | 120 | 120 | training | 0.0454202 | 1 | 1.755642 |
3 | Female | 120 | 120 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 121 | 121 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 121 | 121 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 121 | 121 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 122 | 122 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 122 | 122 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 122 | 122 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 123 | 123 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 123 | 123 | training | 0.1552260 | 0 | 6.000000 |
3 | Female | 123 | 123 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 124 | 124 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 124 | 124 | training | 0.1034840 | 0 | 4.000000 |
3 | Female | 124 | 124 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 125 | 125 | testing | 0.1293550 | 0 | 5.000000 |
3 | Female | 125 | 125 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 125 | 125 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 126 | 126 | testing | 0.1293550 | 0 | 5.000000 |
3 | Female | 126 | 126 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 126 | 126 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 127 | 127 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 127 | 127 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 127 | 127 | validation | 0.0517420 | 0 | 2.000000 |
3 | Female | 128 | 128 | testing | 0.0610916 | 0 | 2.361394 |
3 | Female | 128 | 128 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 129 | 129 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 129 | 129 | training | 0.1034840 | 0 | 4.000000 |
3 | Female | 129 | 129 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 130 | 130 | testing | 0.0776130 | 0 | 3.000000 |
3 | Female | 130 | 130 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 131 | 131 | testing | 0.0776130 | 0 | 3.000000 |
3 | Female | 131 | 131 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 132 | 132 | testing | 0.1034840 | 0 | 4.000000 |
3 | Female | 132 | 132 | training | 0.1034840 | 0 | 4.000000 |
3 | Female | 132 | 132 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 133 | 133 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 133 | 133 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 134 | 134 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 135 | 135 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 135 | 135 | training | 0.1034840 | 0 | 4.000000 |
3 | Female | 135 | 135 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 136 | 136 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 136 | 136 | training | 0.1034840 | 0 | 4.000000 |
3 | Female | 136 | 136 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 137 | 137 | testing | 0.0517420 | 1 | 2.000000 |
3 | Female | 137 | 137 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 138 | 138 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 138 | 138 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 139 | 139 | testing | 0.0776130 | 0 | 3.000000 |
3 | Female | 139 | 139 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 140 | 140 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 141 | 141 | training | 0.0776130 | 0 | 3.000000 |
3 | Female | 142 | 142 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 142 | 142 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 143 | 143 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 143 | 143 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 144 | 144 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 144 | 144 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 145 | 145 | testing | 0.0428703 | 1 | 1.657080 |
3 | Female | 145 | 145 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 146 | 146 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 147 | 147 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 147 | 147 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 148 | 148 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 148 | 148 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 148 | 148 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 149 | 149 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 150 | 150 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 151 | 151 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 152 | 152 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 153 | 153 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 153 | 153 | validation | 0.0258710 | 0 | 1.000000 |
3 | Female | 154 | 154 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 154 | 154 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 155 | 155 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 155 | 155 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 157 | 157 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 158 | 158 | training | 0.0462702 | 1 | 1.788496 |
3 | Female | 159 | 159 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 160 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 160 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 161 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 162 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 162 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 163 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 164 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 165 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 165 | training | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 166 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 167 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 167 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 168 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 172 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 173 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 173 | training | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 174 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 175 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 176 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 177 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 180 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 182 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 183 | testing | 0.0258710 | 0 | 1.000000 |
3 | Female | 160 | 184 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 186 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 187 | testing | 0.0517420 | 0 | 2.000000 |
3 | Female | 160 | 188 | testing | 0.0258710 | 0 | 1.000000 |
3 | Male | 1 | 1 | testing | 4.5044348 | 1 | 20.962950 |
3 | Male | 1 | 1 | training | 14.0736470 | 12 | 65.496598 |
3 | Male | 1 | 1 | validation | 5.2443556 | 6 | 24.406428 |
3 | Male | 2 | 2 | testing | 4.8649993 | 6 | 40.468144 |
3 | Male | 2 | 2 | training | 21.1748987 | 16 | 176.137506 |
3 | Male | 2 | 2 | validation | 7.0617570 | 7 | 58.741262 |
3 | Male | 3 | 3 | testing | 5.2358369 | 7 | 53.786398 |
3 | Male | 3 | 3 | training | 25.3684528 | 29 | 260.603552 |
3 | Male | 3 | 3 | validation | 8.6461101 | 11 | 88.819252 |
3 | Male | 4 | 4 | testing | 12.8261279 | 8 | 169.550126 |
3 | Male | 4 | 4 | training | 42.9698528 | 35 | 568.023646 |
3 | Male | 4 | 4 | validation | 15.3622619 | 8 | 203.075586 |
3 | Male | 5 | 5 | testing | 9.1850821 | 6 | 148.515378 |
3 | Male | 5 | 5 | training | 39.4458036 | 33 | 637.806868 |
3 | Male | 5 | 5 | validation | 13.6605980 | 9 | 220.880866 |
3 | Male | 6 | 6 | testing | 8.4264789 | 6 | 155.858298 |
3 | Male | 6 | 6 | training | 33.5569317 | 20 | 620.677550 |
3 | Male | 6 | 6 | validation | 10.8878239 | 6 | 201.383962 |
3 | Male | 7 | 7 | testing | 6.9335187 | 9 | 140.533852 |
3 | Male | 7 | 7 | training | 29.7018839 | 21 | 602.020470 |
3 | Male | 7 | 7 | validation | 9.8921177 | 9 | 200.500998 |
3 | Male | 8 | 8 | testing | 6.8971348 | 9 | 149.285400 |
3 | Male | 8 | 8 | training | 26.9194320 | 24 | 582.659076 |
3 | Male | 8 | 8 | validation | 8.8664166 | 6 | 191.909626 |
3 | Male | 9 | 9 | testing | 6.8975093 | 3 | 156.299780 |
3 | Male | 9 | 9 | training | 24.4854428 | 16 | 554.848012 |
3 | Male | 9 | 9 | validation | 8.5404682 | 7 | 193.529758 |
3 | Male | 10 | 10 | testing | 12.8618737 | 9 | 301.285400 |
3 | Male | 10 | 10 | training | 20.0990991 | 14 | 470.815158 |
3 | Male | 10 | 10 | validation | 6.4421572 | 4 | 150.905532 |
3 | Male | 11 | 11 | testing | 12.3513703 | 6 | 297.351108 |
3 | Male | 11 | 11 | training | 19.4020829 | 8 | 467.092370 |
3 | Male | 11 | 11 | validation | 6.2684840 | 7 | 150.909626 |
3 | Male | 12 | 12 | testing | 10.8645376 | 13 | 268.326442 |
3 | Male | 12 | 12 | training | 16.8416768 | 11 | 415.946574 |
3 | Male | 12 | 12 | validation | 5.1663404 | 6 | 127.595466 |
3 | Male | 13 | 13 | testing | 5.4494839 | 5 | 138.153984 |
3 | Male | 13 | 13 | training | 17.1908904 | 12 | 435.819252 |
3 | Male | 13 | 13 | validation | 5.4687613 | 4 | 138.642700 |
3 | Male | 14 | 14 | testing | 4.2784714 | 2 | 111.412722 |
3 | Male | 14 | 14 | training | 16.0998985 | 12 | 419.246354 |
3 | Male | 14 | 14 | validation | 5.5098587 | 1 | 143.478430 |
3 | Male | 15 | 15 | testing | 4.7165580 | 0 | 126.000000 |
3 | Male | 15 | 15 | training | 15.0172419 | 11 | 401.176552 |
3 | Male | 15 | 15 | validation | 5.1572985 | 2 | 137.774116 |
3 | Male | 16 | 16 | testing | 4.0658112 | 2 | 111.051328 |
3 | Male | 16 | 16 | training | 13.7043900 | 4 | 374.314160 |
3 | Male | 16 | 16 | validation | 4.5003438 | 2 | 122.919912 |
3 | Male | 17 | 17 | testing | 4.3237944 | 2 | 120.215598 |
3 | Male | 17 | 17 | training | 13.5144332 | 8 | 375.745356 |
3 | Male | 17 | 17 | validation | 4.9895898 | 4 | 138.726882 |
3 | Male | 18 | 18 | testing | 3.7127999 | 4 | 104.624226 |
3 | Male | 18 | 18 | training | 13.2484552 | 6 | 373.332634 |
3 | Male | 18 | 18 | validation | 4.1874660 | 1 | 118.000000 |
3 | Male | 19 | 19 | testing | 4.1822799 | 4 | 119.004094 |
3 | Male | 19 | 19 | training | 12.3110793 | 9 | 350.303874 |
3 | Male | 19 | 19 | validation | 3.8181390 | 4 | 108.642700 |
3 | Male | 20 | 20 | testing | 3.7964910 | 1 | 108.722788 |
3 | Male | 20 | 20 | training | 13.0850880 | 7 | 374.726882 |
3 | Male | 20 | 20 | validation | 4.3181245 | 4 | 123.661174 |
3 | Male | 21 | 21 | testing | 3.7355674 | 3 | 107.365488 |
3 | Male | 21 | 21 | training | 12.4560364 | 4 | 358.004094 |
3 | Male | 21 | 21 | validation | 3.5140930 | 0 | 101.000000 |
3 | Male | 22 | 22 | testing | 5.6012615 | 2 | 161.182744 |
3 | Male | 22 | 22 | training | 9.6455783 | 8 | 277.562612 |
3 | Male | 22 | 22 | validation | 3.0564466 | 2 | 87.952766 |
3 | Male | 23 | 23 | testing | 5.6594611 | 9 | 162.763830 |
3 | Male | 23 | 23 | training | 9.0585226 | 10 | 260.519472 |
3 | Male | 23 | 23 | validation | 3.0302888 | 3 | 87.149890 |
3 | Male | 24 | 24 | testing | 5.2917718 | 6 | 151.909626 |
3 | Male | 24 | 24 | training | 8.5679072 | 6 | 245.956860 |
3 | Male | 24 | 24 | validation | 2.5110525 | 2 | 72.084182 |
3 | Male | 25 | 25 | testing | 2.1098731 | 2 | 60.394248 |
3 | Male | 25 | 25 | training | 9.2326674 | 4 | 264.281306 |
3 | Male | 25 | 25 | validation | 2.7765790 | 3 | 79.478430 |
3 | Male | 26 | 26 | testing | 2.2090320 | 0 | 63.000000 |
3 | Male | 26 | 26 | training | 8.2805033 | 7 | 236.153984 |
3 | Male | 26 | 26 | validation | 2.8442878 | 3 | 81.117036 |
3 | Male | 27 | 27 | testing | 2.2812148 | 5 | 64.774116 |
3 | Male | 27 | 27 | training | 8.9600514 | 11 | 254.416816 |
3 | Male | 27 | 27 | validation | 2.9000971 | 2 | 82.347014 |
3 | Male | 28 | 28 | testing | 2.8313600 | 0 | 80.000000 |
3 | Male | 28 | 28 | training | 8.0719913 | 7 | 228.073896 |
3 | Male | 28 | 28 | validation | 2.8876818 | 1 | 81.591372 |
3 | Male | 29 | 29 | testing | 2.4490456 | 2 | 68.839824 |
3 | Male | 29 | 29 | training | 7.8472471 | 2 | 220.576992 |
3 | Male | 29 | 29 | validation | 2.3667170 | 0 | 66.525664 |
3 | Male | 30 | 30 | testing | 2.2530060 | 0 | 63.000000 |
3 | Male | 30 | 30 | training | 8.1961797 | 5 | 229.186838 |
3 | Male | 30 | 30 | validation | 2.1428559 | 3 | 59.919912 |
3 | Male | 31 | 31 | testing | 2.5371017 | 2 | 70.576992 |
3 | Male | 31 | 31 | training | 8.4273326 | 6 | 234.431196 |
3 | Male | 31 | 31 | validation | 2.3473965 | 3 | 65.299780 |
3 | Male | 32 | 32 | testing | 2.1712020 | 1 | 60.084182 |
3 | Male | 32 | 32 | training | 7.3143861 | 2 | 202.412722 |
3 | Male | 32 | 32 | validation | 2.3264309 | 3 | 64.379868 |
3 | Male | 33 | 33 | testing | 2.1921053 | 1 | 60.347014 |
3 | Male | 33 | 33 | training | 8.0052987 | 5 | 220.379868 |
3 | Male | 33 | 33 | validation | 2.3658987 | 2 | 65.131416 |
3 | Male | 34 | 34 | testing | 4.0614514 | 2 | 111.229978 |
3 | Male | 34 | 34 | training | 6.1596937 | 5 | 168.694028 |
3 | Male | 34 | 34 | validation | 1.9772291 | 2 | 54.149890 |
3 | Male | 35 | 35 | testing | 3.9160540 | 0 | 106.689934 |
3 | Male | 35 | 35 | training | 5.7785120 | 4 | 157.431196 |
3 | Male | 35 | 35 | validation | 1.9863658 | 2 | 54.117036 |
3 | Male | 36 | 36 | testing | 4.3296354 | 5 | 117.347014 |
3 | Male | 36 | 36 | training | 5.5454607 | 4 | 150.299780 |
3 | Male | 36 | 36 | validation | 1.9185920 | 0 | 52.000000 |
3 | Male | 37 | 37 | testing | 1.9000687 | 1 | 51.229978 |
3 | Male | 37 | 37 | training | 5.1658044 | 3 | 139.281306 |
3 | Male | 37 | 37 | validation | 1.9554355 | 3 | 52.722788 |
3 | Male | 38 | 38 | testing | 1.7046827 | 1 | 45.722788 |
3 | Male | 38 | 38 | training | 5.4130009 | 11 | 145.186838 |
3 | Male | 38 | 38 | validation | 1.7370661 | 1 | 46.591372 |
3 | Male | 39 | 39 | testing | 1.6619930 | 2 | 44.347014 |
3 | Male | 39 | 39 | training | 4.8763962 | 4 | 130.117036 |
3 | Male | 39 | 39 | validation | 1.6115110 | 0 | 43.000000 |
3 | Male | 40 | 40 | testing | 1.5539529 | 4 | 41.248452 |
3 | Male | 40 | 40 | training | 5.2841217 | 1 | 140.262832 |
3 | Male | 40 | 40 | validation | 1.6977604 | 0 | 45.065708 |
3 | Male | 41 | 41 | testing | 1.8953937 | 2 | 50.051328 |
3 | Male | 41 | 41 | training | 4.6085862 | 4 | 121.698122 |
3 | Male | 41 | 41 | validation | 1.7041050 | 0 | 45.000000 |
3 | Male | 42 | 42 | testing | 1.5451918 | 1 | 40.591372 |
3 | Male | 42 | 42 | training | 4.5594413 | 3 | 119.774116 |
3 | Male | 42 | 42 | validation | 1.5739568 | 2 | 41.347014 |
3 | Male | 43 | 43 | testing | 1.6756106 | 3 | 43.788496 |
3 | Male | 43 | 43 | training | 4.5356597 | 5 | 118.529758 |
3 | Male | 43 | 43 | validation | 1.9898320 | 0 | 52.000000 |
3 | Male | 44 | 44 | testing | 1.5620983 | 2 | 40.609846 |
3 | Male | 44 | 44 | training | 4.0920080 | 2 | 106.379868 |
3 | Male | 44 | 44 | validation | 1.4839026 | 1 | 38.576992 |
3 | Male | 45 | 45 | testing | 1.3051957 | 1 | 33.755642 |
3 | Male | 45 | 45 | training | 4.1488533 | 3 | 107.299780 |
3 | Male | 45 | 45 | validation | 1.1986460 | 0 | 31.000000 |
3 | Male | 46 | 46 | testing | 2.6966567 | 1 | 69.379868 |
3 | Male | 46 | 46 | training | 2.8986585 | 3 | 74.576992 |
3 | Male | 46 | 46 | validation | 1.1693120 | 2 | 30.084182 |
3 | Male | 47 | 47 | testing | 2.4442239 | 1 | 62.558518 |
3 | Male | 47 | 47 | training | 2.8246647 | 1 | 72.295686 |
3 | Male | 47 | 47 | validation | 1.0640624 | 5 | 27.234072 |
3 | Male | 48 | 48 | testing | 2.0887523 | 1 | 53.182744 |
3 | Male | 48 | 48 | training | 3.1369994 | 3 | 79.872678 |
3 | Male | 48 | 48 | validation | 1.4673687 | 1 | 37.361394 |
3 | Male | 49 | 49 | testing | 1.1100606 | 2 | 28.117036 |
3 | Male | 49 | 49 | training | 2.5313406 | 3 | 64.117036 |
3 | Male | 49 | 49 | validation | 1.2407420 | 1 | 31.427102 |
3 | Male | 50 | 50 | testing | 1.0318360 | 0 | 26.000000 |
3 | Male | 50 | 50 | training | 2.7793238 | 1 | 70.032854 |
3 | Male | 50 | 50 | validation | 1.3038519 | 0 | 32.854204 |
3 | Male | 51 | 51 | testing | 1.2295561 | 1 | 30.821350 |
3 | Male | 51 | 51 | training | 2.5930450 | 1 | 65.000000 |
3 | Male | 51 | 51 | validation | 1.1896631 | 0 | 29.821350 |
3 | Male | 52 | 52 | testing | 0.9006892 | 1 | 22.459956 |
3 | Male | 52 | 52 | training | 2.4535504 | 3 | 61.182744 |
3 | Male | 52 | 52 | validation | 1.2663005 | 2 | 31.576992 |
3 | Male | 53 | 53 | testing | 0.7740203 | 5 | 19.201218 |
3 | Male | 53 | 53 | training | 2.5026755 | 3 | 62.084182 |
3 | Male | 53 | 53 | validation | 1.1697637 | 2 | 29.018474 |
3 | Male | 54 | 54 | testing | 0.7832118 | 1 | 19.328540 |
3 | Male | 54 | 54 | training | 2.5543202 | 3 | 63.036948 |
3 | Male | 54 | 54 | validation | 1.0017921 | 1 | 24.722788 |
3 | Male | 55 | 55 | testing | 0.7232406 | 1 | 17.755642 |
3 | Male | 55 | 55 | training | 2.0808120 | 1 | 51.084182 |
3 | Male | 55 | 55 | validation | 0.9489032 | 0 | 23.295686 |
3 | Male | 56 | 56 | testing | 0.6517280 | 0 | 16.000000 |
3 | Male | 56 | 56 | training | 2.1649545 | 3 | 53.149890 |
3 | Male | 56 | 56 | validation | 0.9775920 | 0 | 24.000000 |
3 | Male | 57 | 57 | testing | 0.6691251 | 1 | 16.427102 |
3 | Male | 57 | 57 | training | 1.8737180 | 1 | 46.000000 |
3 | Male | 57 | 57 | validation | 1.1986541 | 0 | 29.427102 |
3 | Male | 58 | 58 | testing | 1.0183250 | 0 | 25.000000 |
3 | Male | 58 | 58 | training | 1.7555337 | 1 | 43.098562 |
3 | Male | 58 | 58 | validation | 0.8727901 | 2 | 21.427102 |
3 | Male | 59 | 59 | testing | 0.8146600 | 0 | 20.000000 |
3 | Male | 59 | 59 | training | 1.8329850 | 0 | 45.000000 |
3 | Male | 59 | 59 | validation | 0.7832947 | 1 | 19.229978 |
3 | Male | 60 | 60 | testing | 0.9368590 | 0 | 23.000000 |
3 | Male | 60 | 60 | training | 1.4617875 | 0 | 35.887058 |
3 | Male | 60 | 60 | validation | 0.7806182 | 0 | 19.164270 |
3 | Male | 61 | 61 | testing | 0.2604569 | 1 | 6.394248 |
3 | Male | 61 | 61 | training | 1.6033077 | 1 | 39.361394 |
3 | Male | 61 | 61 | validation | 0.4547542 | 1 | 11.164270 |
3 | Male | 62 | 62 | testing | 0.3258640 | 0 | 8.000000 |
3 | Male | 62 | 62 | training | 1.3382503 | 2 | 32.854204 |
3 | Male | 62 | 62 | validation | 0.6109950 | 0 | 15.000000 |
3 | Male | 63 | 63 | testing | 0.1629320 | 0 | 4.000000 |
3 | Male | 63 | 63 | training | 1.4851234 | 1 | 36.459956 |
3 | Male | 63 | 63 | validation | 0.4975780 | 1 | 12.215598 |
3 | Male | 64 | 64 | testing | 0.4073300 | 0 | 10.000000 |
3 | Male | 64 | 64 | training | 1.5625747 | 1 | 38.361394 |
3 | Male | 64 | 64 | validation | 0.5295290 | 0 | 13.000000 |
3 | Male | 65 | 65 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 65 | 65 | training | 1.5960307 | 2 | 39.182744 |
3 | Male | 65 | 65 | validation | 0.8974642 | 0 | 22.032854 |
3 | Male | 66 | 66 | testing | 0.4073300 | 0 | 10.000000 |
3 | Male | 66 | 66 | training | 1.2801201 | 2 | 31.427102 |
3 | Male | 66 | 66 | validation | 0.3665970 | 0 | 9.000000 |
3 | Male | 67 | 67 | testing | 0.3258640 | 0 | 8.000000 |
3 | Male | 67 | 67 | training | 1.1259701 | 1 | 27.642700 |
3 | Male | 67 | 67 | validation | 0.5702620 | 0 | 14.000000 |
3 | Male | 68 | 68 | testing | 0.3665970 | 0 | 9.000000 |
3 | Male | 68 | 68 | training | 1.0997910 | 0 | 27.000000 |
3 | Male | 68 | 68 | validation | 0.3933618 | 1 | 9.657080 |
3 | Male | 69 | 69 | testing | 0.2985134 | 1 | 7.328540 |
3 | Male | 69 | 69 | training | 1.2835491 | 2 | 31.511284 |
3 | Male | 69 | 69 | validation | 0.4614454 | 1 | 11.328540 |
3 | Male | 70 | 70 | testing | 0.5182373 | 1 | 12.722788 |
3 | Male | 70 | 70 | training | 0.9775920 | 0 | 24.000000 |
3 | Male | 70 | 70 | validation | 0.3258640 | 0 | 8.000000 |
3 | Male | 71 | 71 | testing | 0.5916739 | 1 | 14.525664 |
3 | Male | 71 | 71 | training | 0.9121849 | 1 | 22.394248 |
3 | Male | 71 | 71 | validation | 0.2443980 | 0 | 6.000000 |
3 | Male | 72 | 72 | testing | 0.3665970 | 0 | 9.000000 |
3 | Male | 72 | 72 | training | 1.0590580 | 0 | 26.000000 |
3 | Male | 72 | 72 | validation | 0.2851310 | 0 | 7.000000 |
3 | Male | 73 | 73 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 73 | 73 | training | 0.7259170 | 3 | 17.821350 |
3 | Male | 73 | 73 | validation | 0.4073300 | 0 | 10.000000 |
3 | Male | 74 | 74 | testing | 0.2851310 | 0 | 7.000000 |
3 | Male | 74 | 74 | training | 1.3342356 | 1 | 32.755642 |
3 | Male | 74 | 74 | validation | 0.1629320 | 0 | 4.000000 |
3 | Male | 75 | 75 | testing | 0.1656085 | 1 | 4.065708 |
3 | Male | 75 | 75 | training | 0.7980154 | 0 | 19.591372 |
3 | Male | 75 | 75 | validation | 0.2551039 | 1 | 6.262832 |
3 | Male | 76 | 76 | testing | 0.2851310 | 0 | 7.000000 |
3 | Male | 76 | 76 | training | 0.9483174 | 0 | 23.281306 |
3 | Male | 76 | 76 | validation | 0.3258640 | 0 | 8.000000 |
3 | Male | 77 | 77 | testing | 0.2443980 | 0 | 6.000000 |
3 | Male | 77 | 77 | training | 0.7739270 | 0 | 19.000000 |
3 | Male | 77 | 77 | validation | 0.1629320 | 0 | 4.000000 |
3 | Male | 78 | 78 | testing | 0.3258640 | 0 | 8.000000 |
3 | Male | 78 | 78 | training | 0.9368590 | 0 | 23.000000 |
3 | Male | 78 | 78 | validation | 0.2317681 | 1 | 5.689934 |
3 | Male | 79 | 79 | testing | 0.2443980 | 0 | 6.000000 |
3 | Male | 79 | 79 | training | 0.8553930 | 0 | 21.000000 |
3 | Male | 79 | 79 | validation | 0.2443980 | 0 | 6.000000 |
3 | Male | 80 | 80 | testing | 0.1629320 | 0 | 4.000000 |
3 | Male | 80 | 80 | training | 0.6624339 | 0 | 16.262832 |
3 | Male | 80 | 80 | validation | 0.1870204 | 1 | 4.591372 |
3 | Male | 81 | 81 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 81 | 81 | training | 0.6517280 | 0 | 16.000000 |
3 | Male | 81 | 81 | validation | 0.2036650 | 0 | 5.000000 |
3 | Male | 82 | 82 | testing | 0.2518417 | 1 | 6.182744 |
3 | Male | 82 | 82 | training | 0.3665970 | 0 | 9.000000 |
3 | Male | 82 | 82 | validation | 0.0294413 | 0 | 0.722788 |
3 | Male | 83 | 83 | testing | 0.4887960 | 0 | 12.000000 |
3 | Male | 83 | 83 | training | 0.7331940 | 0 | 18.000000 |
3 | Male | 83 | 83 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 84 | 84 | testing | 0.4480630 | 0 | 11.000000 |
3 | Male | 84 | 84 | training | 0.5549556 | 1 | 13.624226 |
3 | Male | 85 | 85 | testing | 0.1409344 | 0 | 3.459956 |
3 | Male | 85 | 85 | training | 0.5702620 | 1 | 14.000000 |
3 | Male | 85 | 85 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 86 | 86 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 86 | 86 | training | 0.4126830 | 1 | 10.131416 |
3 | Male | 86 | 86 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 87 | 87 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 87 | 87 | training | 0.4887960 | 0 | 12.000000 |
3 | Male | 87 | 87 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 88 | 88 | testing | 0.1629320 | 0 | 4.000000 |
3 | Male | 88 | 88 | training | 0.5295290 | 0 | 13.000000 |
3 | Male | 88 | 88 | validation | 0.1221990 | 0 | 3.000000 |
3 | Male | 89 | 89 | testing | 0.1629320 | 0 | 4.000000 |
3 | Male | 89 | 89 | training | 0.4134355 | 2 | 10.149890 |
3 | Male | 89 | 89 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 90 | 90 | testing | 0.2036650 | 0 | 5.000000 |
3 | Male | 90 | 90 | training | 0.4887960 | 0 | 12.000000 |
3 | Male | 91 | 91 | testing | 0.1629320 | 0 | 4.000000 |
3 | Male | 91 | 91 | training | 0.3665970 | 0 | 9.000000 |
3 | Male | 91 | 91 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 92 | 92 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 92 | 92 | training | 0.2443980 | 0 | 6.000000 |
3 | Male | 92 | 92 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 93 | 93 | testing | 0.1763144 | 1 | 4.328540 |
3 | Male | 93 | 93 | training | 0.4995019 | 1 | 12.262832 |
3 | Male | 93 | 93 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 94 | 94 | testing | 0.3665970 | 0 | 9.000000 |
3 | Male | 94 | 94 | training | 0.1355814 | 1 | 3.328540 |
3 | Male | 94 | 94 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 95 | 95 | testing | 0.4073300 | 0 | 10.000000 |
3 | Male | 95 | 95 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 96 | 96 | testing | 0.4073300 | 0 | 10.000000 |
3 | Male | 96 | 96 | training | 0.0661596 | 1 | 1.624226 |
3 | Male | 96 | 96 | validation | 0.0814660 | 0 | 2.000000 |
3 | Male | 97 | 97 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 97 | 97 | training | 0.1221990 | 0 | 3.000000 |
3 | Male | 98 | 98 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 98 | 98 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 98 | 98 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 99 | 99 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 99 | 99 | training | 0.1262137 | 1 | 3.098562 |
3 | Male | 99 | 99 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 100 | 100 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 100 | 100 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 100 | 100 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 101 | 101 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 101 | 101 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 102 | 102 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 102 | 102 | training | 0.1629320 | 0 | 4.000000 |
3 | Male | 102 | 102 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 103 | 103 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 103 | 103 | training | 0.1629320 | 0 | 4.000000 |
3 | Male | 103 | 103 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 104 | 104 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 104 | 104 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 104 | 104 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 105 | 105 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 105 | 105 | training | 0.1221990 | 0 | 3.000000 |
3 | Male | 106 | 106 | testing | 0.2036650 | 0 | 5.000000 |
3 | Male | 106 | 106 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 107 | 107 | testing | 0.1221990 | 0 | 3.000000 |
3 | Male | 107 | 107 | training | 0.1221990 | 0 | 3.000000 |
3 | Male | 107 | 107 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 108 | 108 | testing | 0.2036650 | 0 | 5.000000 |
3 | Male | 108 | 108 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 109 | 109 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 109 | 109 | training | 0.1221990 | 0 | 3.000000 |
3 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 110 | 110 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 110 | 110 | training | 0.1221990 | 0 | 3.000000 |
3 | Male | 111 | 111 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 111 | 111 | training | 0.1629320 | 0 | 4.000000 |
3 | Male | 111 | 111 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 112 | 112 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 112 | 112 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 113 | 113 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 113 | 113 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 114 | 114 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 114 | 114 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 114 | 114 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 115 | 115 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 115 | 115 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 115 | 115 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 116 | 116 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 116 | 116 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 116 | 116 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 117 | 117 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 117 | 117 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 117 | 117 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 118 | 118 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 119 | 119 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 119 | 119 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 119 | 119 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 120 | 120 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 120 | 120 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 120 | 120 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 121 | 121 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 121 | 121 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 122 | 122 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 123 | 123 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 123 | 123 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 123 | 123 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 124 | 124 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 125 | 125 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 127 | 127 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 127 | 127 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 128 | 128 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 129 | 129 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 129 | 129 | training | 0.0814660 | 0 | 2.000000 |
3 | Male | 129 | 129 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 130 | 130 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 131 | 131 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 131 | 131 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 132 | 132 | testing | 0.0814660 | 0 | 2.000000 |
3 | Male | 132 | 132 | training | 0.0407330 | 0 | 1.000000 |
3 | Male | 132 | 132 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 133 | 133 | training | 0.0093677 | 1 | 0.229978 |
3 | Male | 133 | 133 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 135 | 135 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 136 | 136 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 136 | 136 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 137 | 137 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 137 | 137 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 138 | 138 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 138 | 138 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 139 | 139 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 139 | 139 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 141 | 141 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 141 | 141 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 143 | 143 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 143 | 143 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 144 | 144 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 145 | 145 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 146 | 146 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 148 | 148 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 149 | 149 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 150 | 150 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 155 | 155 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 156 | 156 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 159 | 159 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 161 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 162 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 163 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 165 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 166 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 168 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 169 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 172 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 174 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 175 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 176 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 179 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 180 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 182 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 183 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 184 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 186 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 187 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 188 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 191 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 192 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 194 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 195 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 197 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 200 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 201 | validation | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 203 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 204 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 209 | testing | 0.0407330 | 0 | 1.000000 |
3 | Male | 160 | 210 | testing | 0.0334560 | 1 | 0.821350 |
4 | Female | 1 | 1 | testing | 2.9162715 | 0 | 22.858196 |
4 | Female | 1 | 1 | training | 18.8027798 | 14 | 147.379154 |
4 | Female | 1 | 1 | validation | 6.0793219 | 9 | 47.650684 |
4 | Female | 2 | 2 | testing | 6.5192004 | 2 | 59.285400 |
4 | Female | 2 | 2 | training | 34.8817369 | 40 | 317.213398 |
4 | Female | 2 | 2 | validation | 12.3244320 | 6 | 112.077990 |
4 | Female | 3 | 3 | testing | 8.1051050 | 8 | 97.603654 |
4 | Female | 3 | 3 | training | 39.9583935 | 25 | 481.188732 |
4 | Female | 3 | 3 | validation | 14.1863614 | 19 | 170.835628 |
4 | Female | 4 | 4 | testing | 13.6503488 | 10 | 255.864082 |
4 | Female | 4 | 4 | training | 58.4889177 | 63 | 1096.324606 |
4 | Female | 4 | 4 | validation | 18.5452830 | 16 | 347.615426 |
4 | Female | 5 | 5 | testing | 10.5615865 | 5 | 268.435290 |
4 | Female | 5 | 5 | training | 45.8483111 | 46 | 1165.289392 |
4 | Female | 5 | 5 | validation | 16.3856955 | 19 | 416.461952 |
4 | Female | 6 | 6 | testing | 8.8799803 | 6 | 258.989714 |
4 | Female | 6 | 6 | training | 37.6052310 | 35 | 1096.778108 |
4 | Female | 6 | 6 | validation | 13.4331802 | 12 | 391.786398 |
4 | Female | 7 | 7 | testing | 7.4473206 | 9 | 248.285400 |
4 | Female | 7 | 7 | training | 34.3706336 | 27 | 1145.878768 |
4 | Female | 7 | 7 | validation | 11.4662192 | 7 | 382.271020 |
4 | Female | 8 | 8 | testing | 7.0373325 | 5 | 264.919912 |
4 | Female | 8 | 8 | training | 28.1572378 | 31 | 1059.977330 |
4 | Female | 8 | 8 | validation | 10.3043226 | 7 | 387.905532 |
4 | Female | 9 | 9 | testing | 6.6790469 | 6 | 272.369582 |
4 | Female | 9 | 9 | training | 26.9420231 | 16 | 1098.687836 |
4 | Female | 9 | 9 | validation | 9.2140276 | 10 | 375.745356 |
4 | Female | 10 | 10 | testing | 12.2736394 | 7 | 516.219692 |
4 | Female | 10 | 10 | training | 20.8847491 | 22 | 878.396244 |
4 | Female | 10 | 10 | validation | 7.2443079 | 4 | 304.689934 |
4 | Female | 11 | 11 | testing | 11.1674314 | 9 | 476.162172 |
4 | Female | 11 | 11 | training | 20.0587672 | 19 | 855.275114 |
4 | Female | 11 | 11 | validation | 6.7787835 | 6 | 289.036948 |
4 | Female | 12 | 12 | testing | 10.8314433 | 6 | 464.808966 |
4 | Female | 12 | 12 | training | 19.4213029 | 13 | 833.425004 |
4 | Female | 12 | 12 | validation | 7.0937297 | 4 | 304.412722 |
4 | Female | 13 | 13 | testing | 5.3730162 | 3 | 233.102656 |
4 | Female | 13 | 13 | training | 19.2883523 | 17 | 836.804872 |
4 | Female | 13 | 13 | validation | 7.1936348 | 6 | 312.088276 |
4 | Female | 14 | 14 | testing | 5.6796974 | 4 | 254.398342 |
4 | Female | 14 | 14 | training | 18.2198486 | 21 | 816.082084 |
4 | Female | 14 | 14 | validation | 6.3816599 | 6 | 285.839824 |
4 | Female | 15 | 15 | testing | 5.2295062 | 2 | 246.558518 |
4 | Female | 15 | 15 | training | 17.3973383 | 15 | 820.242260 |
4 | Female | 15 | 15 | validation | 6.1889208 | 5 | 291.792590 |
4 | Female | 16 | 16 | testing | 4.9184244 | 5 | 244.102656 |
4 | Female | 16 | 16 | training | 15.3134875 | 13 | 760.012282 |
4 | Female | 16 | 16 | validation | 5.3715496 | 2 | 266.591372 |
4 | Female | 17 | 17 | testing | 4.4162215 | 3 | 227.511284 |
4 | Female | 17 | 17 | training | 15.2888917 | 13 | 787.640602 |
4 | Female | 17 | 17 | validation | 5.6286317 | 4 | 289.971240 |
4 | Female | 18 | 18 | testing | 4.2993234 | 2 | 226.018474 |
4 | Female | 18 | 18 | training | 15.1288952 | 12 | 795.336728 |
4 | Female | 18 | 18 | validation | 5.0680542 | 6 | 266.431196 |
4 | Female | 19 | 19 | testing | 4.1564597 | 2 | 219.361394 |
4 | Female | 19 | 19 | training | 13.5508153 | 14 | 715.158078 |
4 | Female | 19 | 19 | validation | 5.0271727 | 5 | 265.314160 |
4 | Female | 20 | 20 | testing | 4.0757169 | 5 | 213.511284 |
4 | Female | 20 | 20 | training | 14.3316053 | 14 | 750.778210 |
4 | Female | 20 | 20 | validation | 5.1369788 | 8 | 269.106750 |
4 | Female | 21 | 21 | testing | 3.7407082 | 5 | 193.318254 |
4 | Female | 21 | 21 | training | 14.1869663 | 13 | 733.176552 |
4 | Female | 21 | 21 | validation | 5.0622297 | 7 | 261.613940 |
4 | Female | 22 | 22 | testing | 7.8132440 | 5 | 397.135510 |
4 | Female | 22 | 22 | training | 11.4334211 | 13 | 581.143698 |
4 | Female | 22 | 22 | validation | 3.9871559 | 5 | 202.661174 |
4 | Female | 23 | 23 | testing | 7.8049067 | 7 | 390.069802 |
4 | Female | 23 | 23 | training | 12.5018446 | 7 | 624.811064 |
4 | Female | 23 | 23 | validation | 3.9617820 | 1 | 198.000000 |
4 | Female | 24 | 24 | testing | 7.2062992 | 11 | 355.480426 |
4 | Female | 24 | 24 | training | 11.8662377 | 10 | 585.351108 |
4 | Female | 24 | 24 | validation | 4.0913224 | 3 | 201.821350 |
4 | Female | 25 | 25 | testing | 3.3158918 | 4 | 162.887058 |
4 | Female | 25 | 25 | training | 11.9151143 | 13 | 585.307968 |
4 | Female | 25 | 25 | validation | 3.9199971 | 4 | 192.562612 |
4 | Female | 26 | 26 | testing | 3.4608827 | 8 | 170.975334 |
4 | Female | 26 | 26 | training | 11.4446679 | 16 | 565.392150 |
4 | Female | 26 | 26 | validation | 3.7598575 | 7 | 185.745356 |
4 | Female | 27 | 27 | testing | 2.9119766 | 4 | 145.576992 |
4 | Female | 27 | 27 | training | 10.9132984 | 20 | 545.583082 |
4 | Female | 27 | 27 | validation | 3.7531293 | 3 | 187.628320 |
4 | Female | 28 | 28 | testing | 3.0988117 | 3 | 156.854204 |
4 | Female | 28 | 28 | training | 10.6587467 | 10 | 539.519472 |
4 | Female | 28 | 28 | validation | 4.0496959 | 2 | 204.985620 |
4 | Female | 29 | 29 | testing | 2.9453446 | 0 | 150.295686 |
4 | Female | 29 | 29 | training | 9.8150383 | 7 | 500.843918 |
4 | Female | 29 | 29 | validation | 3.6618621 | 6 | 186.858298 |
4 | Female | 30 | 30 | testing | 2.8394221 | 1 | 145.149890 |
4 | Female | 30 | 30 | training | 9.9302252 | 8 | 507.628320 |
4 | Female | 30 | 30 | validation | 3.5840635 | 2 | 183.215598 |
4 | Female | 31 | 31 | testing | 2.7730506 | 3 | 141.229978 |
4 | Female | 31 | 31 | training | 9.3551697 | 7 | 476.453764 |
4 | Female | 31 | 31 | validation | 3.4156429 | 8 | 173.956860 |
4 | Female | 32 | 32 | testing | 3.0096669 | 5 | 152.172458 |
4 | Female | 32 | 32 | training | 9.7292730 | 6 | 491.924006 |
4 | Female | 32 | 32 | validation | 3.3642903 | 4 | 170.102656 |
4 | Female | 33 | 33 | testing | 2.8113574 | 1 | 140.821350 |
4 | Female | 33 | 33 | training | 9.7583370 | 12 | 488.796684 |
4 | Female | 33 | 33 | validation | 3.1831715 | 6 | 159.445576 |
4 | Female | 34 | 34 | testing | 5.4922398 | 5 | 272.229978 |
4 | Female | 34 | 34 | training | 7.5251501 | 11 | 372.993808 |
4 | Female | 34 | 34 | validation | 2.5943309 | 1 | 128.591372 |
4 | Female | 35 | 35 | testing | 4.8568620 | 4 | 238.069802 |
4 | Female | 35 | 35 | training | 8.0830681 | 9 | 396.209406 |
4 | Female | 35 | 35 | validation | 2.6391018 | 0 | 129.361394 |
4 | Female | 36 | 36 | testing | 4.9742074 | 6 | 241.045136 |
4 | Female | 36 | 36 | training | 7.6692188 | 4 | 371.642700 |
4 | Female | 36 | 36 | validation | 2.4892860 | 6 | 120.628320 |
4 | Female | 37 | 37 | testing | 2.1217106 | 1 | 101.624226 |
4 | Female | 37 | 37 | training | 7.6914206 | 4 | 368.398342 |
4 | Female | 37 | 37 | validation | 2.5916157 | 0 | 124.131416 |
4 | Female | 38 | 38 | testing | 2.2054150 | 5 | 104.398342 |
4 | Female | 38 | 38 | training | 7.5924629 | 11 | 359.406530 |
4 | Female | 38 | 38 | validation | 2.5232878 | 4 | 119.445576 |
4 | Female | 39 | 39 | testing | 2.3066966 | 5 | 107.905532 |
4 | Female | 39 | 39 | training | 7.0798686 | 6 | 331.190932 |
4 | Female | 39 | 39 | validation | 2.3652090 | 4 | 110.642700 |
4 | Female | 40 | 40 | testing | 1.9955185 | 2 | 92.248452 |
4 | Female | 40 | 40 | training | 7.4309247 | 3 | 343.515378 |
4 | Female | 40 | 40 | validation | 2.2299170 | 4 | 103.084182 |
4 | Female | 41 | 41 | testing | 2.2289712 | 1 | 101.821350 |
4 | Female | 41 | 41 | training | 6.9485715 | 5 | 317.416816 |
4 | Female | 41 | 41 | validation | 2.3925919 | 1 | 109.295686 |
4 | Female | 42 | 42 | testing | 1.8416103 | 0 | 83.131416 |
4 | Female | 42 | 42 | training | 7.3077601 | 8 | 329.876772 |
4 | Female | 42 | 42 | validation | 2.5658811 | 3 | 115.825444 |
4 | Female | 43 | 43 | testing | 2.1970620 | 0 | 98.000000 |
4 | Female | 43 | 43 | training | 6.4880214 | 6 | 289.398342 |
4 | Female | 43 | 43 | validation | 2.5172346 | 2 | 112.281306 |
4 | Female | 44 | 44 | testing | 1.9560595 | 1 | 86.215598 |
4 | Female | 44 | 44 | training | 6.5840852 | 4 | 290.201218 |
4 | Female | 44 | 44 | validation | 2.2000835 | 3 | 96.971240 |
4 | Female | 45 | 45 | testing | 1.7789048 | 3 | 77.478430 |
4 | Female | 45 | 45 | training | 6.5634005 | 7 | 285.862392 |
4 | Female | 45 | 45 | validation | 2.4752480 | 4 | 107.806970 |
4 | Female | 46 | 46 | testing | 3.5365475 | 3 | 152.201218 |
4 | Female | 46 | 46 | training | 4.8594727 | 2 | 209.135510 |
4 | Female | 46 | 46 | validation | 1.7099691 | 0 | 73.591372 |
4 | Female | 47 | 47 | testing | 3.8839341 | 2 | 165.168364 |
4 | Female | 47 | 47 | training | 5.5377097 | 2 | 235.496904 |
4 | Female | 47 | 47 | validation | 1.8831795 | 3 | 80.084182 |
4 | Female | 48 | 48 | testing | 3.4875548 | 3 | 146.548232 |
4 | Female | 48 | 48 | training | 5.1697364 | 3 | 217.234072 |
4 | Female | 48 | 48 | validation | 1.9990320 | 0 | 84.000000 |
4 | Female | 49 | 49 | testing | 1.6460695 | 2 | 68.347014 |
4 | Female | 49 | 49 | training | 5.0103619 | 4 | 208.036948 |
4 | Female | 49 | 49 | validation | 1.7135740 | 1 | 71.149890 |
4 | Female | 50 | 50 | testing | 1.8656103 | 2 | 76.544138 |
4 | Female | 50 | 50 | training | 5.1623713 | 2 | 211.806970 |
4 | Female | 50 | 50 | validation | 1.3897113 | 3 | 57.018474 |
4 | Female | 51 | 51 | testing | 1.5802448 | 1 | 64.065708 |
4 | Female | 51 | 51 | training | 5.1246016 | 6 | 207.759736 |
4 | Female | 51 | 51 | validation | 1.7775728 | 0 | 72.065708 |
4 | Female | 52 | 52 | testing | 1.7507226 | 1 | 70.135510 |
4 | Female | 52 | 52 | training | 4.9540596 | 6 | 198.464050 |
4 | Female | 52 | 52 | validation | 1.7231981 | 1 | 69.032854 |
4 | Female | 53 | 53 | testing | 1.6751620 | 4 | 66.314160 |
4 | Female | 53 | 53 | training | 4.7525945 | 5 | 188.139604 |
4 | Female | 53 | 53 | validation | 1.5646256 | 3 | 61.938386 |
4 | Female | 54 | 54 | testing | 1.2270720 | 1 | 48.000000 |
4 | Female | 54 | 54 | training | 4.7901789 | 5 | 187.379868 |
4 | Female | 54 | 54 | validation | 1.6105320 | 0 | 63.000000 |
4 | Female | 55 | 55 | testing | 1.8627120 | 0 | 72.000000 |
4 | Female | 55 | 55 | training | 4.4053477 | 2 | 170.281306 |
4 | Female | 55 | 55 | validation | 1.6400726 | 1 | 63.394248 |
4 | Female | 56 | 56 | testing | 1.7333570 | 0 | 67.000000 |
4 | Female | 56 | 56 | training | 4.6679355 | 3 | 180.431196 |
4 | Female | 56 | 56 | validation | 1.5263890 | 0 | 59.000000 |
4 | Female | 57 | 57 | testing | 1.6651995 | 2 | 64.365488 |
4 | Female | 57 | 57 | training | 4.1628929 | 7 | 160.909626 |
4 | Female | 57 | 57 | validation | 1.5263890 | 0 | 59.000000 |
4 | Female | 58 | 58 | testing | 2.8246668 | 2 | 109.182744 |
4 | Female | 58 | 58 | training | 3.2576740 | 0 | 125.919912 |
4 | Female | 58 | 58 | validation | 1.1383240 | 0 | 44.000000 |
4 | Female | 59 | 59 | testing | 2.6321482 | 3 | 101.741262 |
4 | Female | 59 | 59 | training | 2.9960421 | 4 | 115.806970 |
4 | Female | 59 | 59 | validation | 1.3045996 | 1 | 50.427102 |
4 | Female | 60 | 60 | testing | 2.8128732 | 6 | 108.726882 |
4 | Female | 60 | 60 | training | 3.2513523 | 2 | 125.675554 |
4 | Female | 60 | 60 | validation | 1.0348400 | 0 | 40.000000 |
4 | Female | 61 | 61 | testing | 1.1667449 | 1 | 45.098562 |
4 | Female | 61 | 61 | training | 3.4201777 | 5 | 132.201218 |
4 | Female | 61 | 61 | validation | 1.2159370 | 0 | 47.000000 |
4 | Female | 62 | 62 | testing | 1.2846783 | 1 | 49.657080 |
4 | Female | 62 | 62 | training | 2.9337285 | 3 | 113.398342 |
4 | Female | 62 | 62 | validation | 1.0348400 | 0 | 40.000000 |
4 | Female | 63 | 63 | testing | 1.1888440 | 1 | 45.952766 |
4 | Female | 63 | 63 | training | 2.9451501 | 4 | 113.839824 |
4 | Female | 63 | 63 | validation | 1.0348400 | 0 | 40.000000 |
4 | Female | 64 | 64 | testing | 1.1383240 | 0 | 44.000000 |
4 | Female | 64 | 64 | training | 3.0629776 | 1 | 118.394248 |
4 | Female | 64 | 64 | validation | 1.1561733 | 0 | 44.689934 |
4 | Female | 65 | 65 | testing | 0.9992474 | 2 | 38.624226 |
4 | Female | 65 | 65 | training | 2.8199390 | 0 | 109.000000 |
4 | Female | 65 | 65 | validation | 1.1235026 | 1 | 43.427102 |
4 | Female | 66 | 66 | testing | 1.0276682 | 1 | 39.722788 |
4 | Female | 66 | 66 | training | 2.7783966 | 1 | 107.394248 |
4 | Female | 66 | 66 | validation | 0.8554429 | 1 | 33.065708 |
4 | Female | 67 | 67 | testing | 0.9088849 | 1 | 35.131416 |
4 | Female | 67 | 67 | training | 3.2127318 | 1 | 124.182744 |
4 | Female | 67 | 67 | validation | 1.1328522 | 1 | 43.788496 |
4 | Female | 68 | 68 | testing | 1.0764883 | 0 | 41.609846 |
4 | Female | 68 | 68 | training | 2.9196511 | 1 | 112.854204 |
4 | Female | 68 | 68 | validation | 1.0662887 | 1 | 41.215598 |
4 | Female | 69 | 69 | testing | 1.0089690 | 0 | 39.000000 |
4 | Female | 69 | 69 | training | 2.5464076 | 2 | 98.427102 |
4 | Female | 69 | 69 | validation | 1.0098190 | 0 | 39.032854 |
4 | Female | 70 | 70 | testing | 1.5090177 | 2 | 58.328540 |
4 | Female | 70 | 70 | training | 1.8211696 | 0 | 70.394248 |
4 | Female | 70 | 70 | validation | 0.7430872 | 0 | 28.722788 |
4 | Female | 71 | 71 | testing | 1.6816150 | 0 | 65.000000 |
4 | Female | 71 | 71 | training | 2.0320154 | 3 | 78.544138 |
4 | Female | 71 | 71 | validation | 0.7761300 | 0 | 30.000000 |
4 | Female | 72 | 72 | testing | 1.5154454 | 3 | 58.576992 |
4 | Female | 72 | 72 | training | 1.9746957 | 2 | 76.328540 |
4 | Female | 72 | 72 | validation | 0.6467750 | 0 | 25.000000 |
4 | Female | 73 | 73 | testing | 0.7044668 | 1 | 27.229978 |
4 | Female | 73 | 73 | training | 1.8678118 | 1 | 72.197124 |
4 | Female | 73 | 73 | validation | 0.7388374 | 1 | 28.558518 |
4 | Female | 74 | 74 | testing | 0.5874892 | 1 | 22.708408 |
4 | Female | 74 | 74 | training | 1.7304351 | 1 | 66.887058 |
4 | Female | 74 | 74 | validation | 0.5250697 | 1 | 20.295686 |
4 | Female | 75 | 75 | testing | 0.6154322 | 1 | 23.788496 |
4 | Female | 75 | 75 | training | 1.3822126 | 0 | 53.427102 |
4 | Female | 75 | 75 | validation | 0.7405374 | 1 | 28.624226 |
4 | Female | 76 | 76 | testing | 0.5611403 | 0 | 21.689934 |
4 | Female | 76 | 76 | training | 1.4531317 | 2 | 56.168364 |
4 | Female | 76 | 76 | validation | 0.5823894 | 1 | 22.511284 |
4 | Female | 77 | 77 | testing | 0.5509407 | 0 | 21.295686 |
4 | Female | 77 | 77 | training | 1.6354507 | 0 | 63.215598 |
4 | Female | 77 | 77 | validation | 0.5950330 | 0 | 23.000000 |
4 | Female | 78 | 78 | testing | 0.6285537 | 1 | 24.295686 |
4 | Female | 78 | 78 | training | 1.9144540 | 0 | 74.000000 |
4 | Female | 78 | 78 | validation | 0.6904953 | 1 | 26.689934 |
4 | Female | 79 | 79 | testing | 0.4653060 | 2 | 17.985620 |
4 | Female | 79 | 79 | training | 1.3711630 | 0 | 53.000000 |
4 | Female | 79 | 79 | validation | 0.7502590 | 0 | 29.000000 |
4 | Female | 80 | 80 | testing | 0.6561246 | 1 | 25.361394 |
4 | Female | 80 | 80 | training | 1.5522600 | 0 | 60.000000 |
4 | Female | 80 | 80 | validation | 0.5255476 | 1 | 20.314160 |
4 | Female | 81 | 81 | testing | 0.4224357 | 0 | 16.328540 |
4 | Female | 81 | 81 | training | 1.3899682 | 2 | 53.726882 |
4 | Female | 81 | 81 | validation | 0.5691620 | 0 | 22.000000 |
4 | Female | 82 | 82 | testing | 1.0089690 | 0 | 39.000000 |
4 | Female | 82 | 82 | training | 0.9827260 | 2 | 37.985620 |
4 | Female | 82 | 82 | validation | 0.4139360 | 0 | 16.000000 |
4 | Female | 83 | 83 | testing | 0.8346717 | 1 | 32.262832 |
4 | Female | 83 | 83 | training | 0.8707423 | 0 | 33.657080 |
4 | Female | 83 | 83 | validation | 0.2587100 | 0 | 10.000000 |
4 | Female | 84 | 84 | testing | 1.0514673 | 1 | 40.642700 |
4 | Female | 84 | 84 | training | 0.9631768 | 0 | 37.229978 |
4 | Female | 84 | 84 | validation | 0.4656780 | 0 | 18.000000 |
4 | Female | 85 | 85 | testing | 0.5802116 | 1 | 22.427102 |
4 | Female | 85 | 85 | training | 1.0089690 | 0 | 39.000000 |
4 | Female | 85 | 85 | validation | 0.3880650 | 0 | 15.000000 |
4 | Female | 86 | 86 | testing | 0.4139360 | 0 | 16.000000 |
4 | Female | 86 | 86 | training | 0.9313560 | 0 | 36.000000 |
4 | Female | 86 | 86 | validation | 0.2587100 | 0 | 10.000000 |
4 | Female | 87 | 87 | testing | 0.4139360 | 0 | 16.000000 |
4 | Female | 87 | 87 | training | 0.8613927 | 1 | 33.295686 |
4 | Female | 87 | 87 | validation | 0.2845810 | 0 | 11.000000 |
4 | Female | 88 | 88 | testing | 0.3880650 | 0 | 15.000000 |
4 | Female | 88 | 88 | training | 1.0051971 | 0 | 38.854204 |
4 | Female | 88 | 88 | validation | 0.3104520 | 0 | 12.000000 |
4 | Female | 89 | 89 | testing | 0.4398070 | 0 | 17.000000 |
4 | Female | 89 | 89 | training | 0.9054850 | 0 | 35.000000 |
4 | Female | 89 | 89 | validation | 0.2328390 | 0 | 9.000000 |
4 | Female | 90 | 90 | testing | 0.4398070 | 0 | 17.000000 |
4 | Female | 90 | 90 | training | 0.9322060 | 1 | 36.032854 |
4 | Female | 90 | 90 | validation | 0.2659877 | 2 | 10.281306 |
4 | Female | 91 | 91 | testing | 0.5568905 | 1 | 21.525664 |
4 | Female | 91 | 91 | training | 0.8164504 | 0 | 31.558518 |
4 | Female | 91 | 91 | validation | 0.2328390 | 0 | 9.000000 |
4 | Female | 92 | 92 | testing | 0.5174200 | 0 | 20.000000 |
4 | Female | 92 | 92 | training | 0.8020010 | 0 | 31.000000 |
4 | Female | 92 | 92 | validation | 0.2587100 | 0 | 10.000000 |
4 | Female | 93 | 93 | testing | 0.4139360 | 0 | 16.000000 |
4 | Female | 93 | 93 | training | 0.8656425 | 0 | 33.459956 |
4 | Female | 93 | 93 | validation | 0.3104520 | 0 | 12.000000 |
4 | Female | 94 | 94 | testing | 0.6569746 | 1 | 25.394248 |
4 | Female | 94 | 94 | training | 0.6921952 | 1 | 26.755642 |
4 | Female | 94 | 94 | validation | 0.2328390 | 0 | 9.000000 |
4 | Female | 95 | 95 | testing | 0.7761300 | 1 | 30.000000 |
4 | Female | 95 | 95 | training | 0.4826773 | 1 | 18.657080 |
4 | Female | 95 | 95 | validation | 0.2328390 | 0 | 9.000000 |
4 | Female | 96 | 96 | testing | 0.6467750 | 0 | 25.000000 |
4 | Female | 96 | 96 | training | 0.4928769 | 2 | 19.051328 |
4 | Female | 96 | 96 | validation | 0.1094338 | 0 | 4.229978 |
4 | Female | 97 | 97 | testing | 0.2587100 | 0 | 10.000000 |
4 | Female | 97 | 97 | training | 0.5361192 | 1 | 20.722788 |
4 | Female | 97 | 97 | validation | 0.1671255 | 0 | 6.459956 |
4 | Female | 98 | 98 | testing | 0.3363230 | 0 | 13.000000 |
4 | Female | 98 | 98 | training | 0.3621940 | 0 | 14.000000 |
4 | Female | 98 | 98 | validation | 0.1810970 | 0 | 7.000000 |
4 | Female | 99 | 99 | testing | 0.1810970 | 0 | 7.000000 |
4 | Female | 99 | 99 | training | 0.4619061 | 0 | 17.854204 |
4 | Female | 99 | 99 | validation | 0.2587100 | 0 | 10.000000 |
4 | Female | 100 | 100 | testing | 0.3104520 | 0 | 12.000000 |
4 | Female | 100 | 100 | training | 0.4398070 | 0 | 17.000000 |
4 | Female | 100 | 100 | validation | 0.1034840 | 0 | 4.000000 |
4 | Female | 101 | 101 | testing | 0.2069680 | 0 | 8.000000 |
4 | Female | 101 | 101 | training | 0.3880650 | 0 | 15.000000 |
4 | Female | 101 | 101 | validation | 0.1293550 | 0 | 5.000000 |
4 | Female | 102 | 102 | testing | 0.2328390 | 0 | 9.000000 |
4 | Female | 102 | 102 | training | 0.5691620 | 0 | 22.000000 |
4 | Female | 102 | 102 | validation | 0.1552260 | 0 | 6.000000 |
4 | Female | 103 | 103 | testing | 0.2069680 | 0 | 8.000000 |
4 | Female | 103 | 103 | training | 0.5017486 | 1 | 19.394248 |
4 | Female | 103 | 103 | validation | 0.1293550 | 0 | 5.000000 |
4 | Female | 104 | 104 | testing | 0.2587100 | 0 | 10.000000 |
4 | Female | 104 | 104 | training | 0.4551064 | 0 | 17.591372 |
4 | Female | 104 | 104 | validation | 0.1293550 | 0 | 5.000000 |
4 | Female | 105 | 105 | testing | 0.2299171 | 1 | 8.887058 |
4 | Female | 105 | 105 | training | 0.4738056 | 2 | 18.314160 |
4 | Female | 105 | 105 | validation | 0.0776130 | 0 | 3.000000 |
4 | Female | 106 | 106 | testing | 0.4139360 | 0 | 16.000000 |
4 | Female | 106 | 106 | training | 0.2328390 | 0 | 9.000000 |
4 | Female | 106 | 106 | validation | 0.0394705 | 1 | 1.525664 |
4 | Female | 107 | 107 | testing | 0.4008145 | 1 | 15.492810 |
4 | Female | 107 | 107 | training | 0.2587100 | 0 | 10.000000 |
4 | Female | 107 | 107 | validation | 0.0776130 | 0 | 3.000000 |
4 | Female | 108 | 108 | testing | 0.3880650 | 0 | 15.000000 |
4 | Female | 108 | 108 | training | 0.2842090 | 3 | 10.985620 |
4 | Female | 108 | 108 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 109 | 109 | testing | 0.2328390 | 0 | 9.000000 |
4 | Female | 109 | 109 | training | 0.2069680 | 0 | 8.000000 |
4 | Female | 109 | 109 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 110 | 110 | testing | 0.2069680 | 0 | 8.000000 |
4 | Female | 110 | 110 | training | 0.1552260 | 0 | 6.000000 |
4 | Female | 110 | 110 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 111 | 111 | testing | 0.1972464 | 1 | 7.624226 |
4 | Female | 111 | 111 | training | 0.2069680 | 0 | 8.000000 |
4 | Female | 111 | 111 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 112 | 112 | testing | 0.1810970 | 0 | 7.000000 |
4 | Female | 112 | 112 | training | 0.1552260 | 0 | 6.000000 |
4 | Female | 112 | 112 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 113 | 113 | testing | 0.1034840 | 0 | 4.000000 |
4 | Female | 113 | 113 | training | 0.2069680 | 0 | 8.000000 |
4 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 114 | 114 | testing | 0.1293550 | 0 | 5.000000 |
4 | Female | 114 | 114 | training | 0.1810970 | 0 | 7.000000 |
4 | Female | 114 | 114 | validation | 0.0776130 | 0 | 3.000000 |
4 | Female | 115 | 115 | testing | 0.1810970 | 0 | 7.000000 |
4 | Female | 115 | 115 | training | 0.1662756 | 1 | 6.427102 |
4 | Female | 115 | 115 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 116 | 116 | testing | 0.1293550 | 0 | 5.000000 |
4 | Female | 116 | 116 | training | 0.2069680 | 0 | 8.000000 |
4 | Female | 116 | 116 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 117 | 117 | testing | 0.1293550 | 0 | 5.000000 |
4 | Female | 117 | 117 | training | 0.2587100 | 0 | 10.000000 |
4 | Female | 117 | 117 | validation | 0.0517420 | 0 | 2.000000 |
4 | Female | 118 | 118 | testing | 0.2845810 | 0 | 11.000000 |
4 | Female | 118 | 118 | training | 0.1034840 | 0 | 4.000000 |
4 | Female | 118 | 118 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 119 | 119 | testing | 0.2328390 | 0 | 9.000000 |
4 | Female | 119 | 119 | training | 0.1034840 | 0 | 4.000000 |
4 | Female | 120 | 120 | testing | 0.2328390 | 0 | 9.000000 |
4 | Female | 120 | 120 | training | 0.1034840 | 0 | 4.000000 |
4 | Female | 121 | 121 | testing | 0.1034840 | 0 | 4.000000 |
4 | Female | 121 | 121 | training | 0.1034840 | 0 | 4.000000 |
4 | Female | 122 | 122 | testing | 0.1034840 | 0 | 4.000000 |
4 | Female | 122 | 122 | training | 0.0776130 | 0 | 3.000000 |
4 | Female | 123 | 123 | testing | 0.1119837 | 1 | 4.328540 |
4 | Female | 123 | 123 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 123 | 123 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 124 | 124 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 124 | 124 | training | 0.0776130 | 0 | 3.000000 |
4 | Female | 125 | 125 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 125 | 125 | training | 0.1293550 | 0 | 5.000000 |
4 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 126 | 126 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 126 | 126 | training | 0.1034840 | 0 | 4.000000 |
4 | Female | 127 | 127 | testing | 0.1034840 | 0 | 4.000000 |
4 | Female | 127 | 127 | training | 0.0776130 | 0 | 3.000000 |
4 | Female | 128 | 128 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 128 | 128 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 128 | 128 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 129 | 129 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 129 | 129 | training | 0.0776130 | 0 | 3.000000 |
4 | Female | 130 | 130 | testing | 0.1034840 | 0 | 4.000000 |
4 | Female | 131 | 131 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 131 | 131 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 132 | 132 | testing | 0.0776130 | 0 | 3.000000 |
4 | Female | 132 | 132 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 132 | 132 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 133 | 133 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 133 | 133 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 134 | 134 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 134 | 134 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 134 | 134 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 135 | 135 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 135 | 135 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 135 | 135 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 136 | 136 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 136 | 136 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 136 | 136 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 137 | 137 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 137 | 137 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 137 | 137 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 138 | 138 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 138 | 138 | training | 0.0517420 | 0 | 2.000000 |
4 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 139 | 139 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 139 | 139 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 140 | 140 | training | 0.0776130 | 0 | 3.000000 |
4 | Female | 141 | 141 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 141 | 141 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 141 | 141 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 142 | 142 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 142 | 142 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 143 | 143 | testing | 0.0517420 | 0 | 2.000000 |
4 | Female | 143 | 143 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 143 | 143 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 144 | 144 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 144 | 144 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 145 | 145 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 145 | 145 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 147 | 147 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 148 | 148 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 149 | 149 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 150 | 150 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 150 | 150 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 151 | 151 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 152 | 152 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 153 | 153 | training | 0.0258710 | 0 | 1.000000 |
4 | Female | 154 | 154 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 154 | 154 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 155 | 155 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 156 | 156 | testing | 0.0093496 | 0 | 0.361394 |
4 | Female | 157 | 157 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 157 | 157 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 158 | 158 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 159 | 159 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 160 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 161 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 162 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 162 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 165 | validation | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 168 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 169 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 170 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 176 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 177 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 178 | testing | 0.0258710 | 0 | 1.000000 |
4 | Female | 160 | 180 | testing | 0.0258710 | 0 | 1.000000 |
4 | Male | 1 | 1 | testing | 2.9561862 | 3 | 13.757638 |
4 | Male | 1 | 1 | training | 15.5142432 | 21 | 72.200912 |
4 | Male | 1 | 1 | validation | 3.6449308 | 1 | 16.962950 |
4 | Male | 2 | 2 | testing | 3.5460588 | 2 | 29.496904 |
4 | Male | 2 | 2 | training | 21.1472512 | 14 | 175.907528 |
4 | Male | 2 | 2 | validation | 5.8719181 | 3 | 48.843918 |
4 | Male | 3 | 3 | testing | 5.2606252 | 3 | 54.041042 |
4 | Male | 3 | 3 | training | 24.4045973 | 18 | 250.702114 |
4 | Male | 3 | 3 | validation | 8.6219245 | 4 | 88.570800 |
4 | Male | 4 | 4 | testing | 11.6418521 | 13 | 153.895042 |
4 | Male | 4 | 4 | training | 47.3409685 | 40 | 625.805950 |
4 | Male | 4 | 4 | validation | 14.0451830 | 11 | 185.664962 |
4 | Male | 5 | 5 | testing | 9.5529836 | 5 | 154.464050 |
4 | Male | 5 | 5 | training | 39.0182176 | 29 | 630.893148 |
4 | Male | 5 | 5 | validation | 13.1725619 | 9 | 212.989714 |
4 | Male | 6 | 6 | testing | 7.6248278 | 13 | 141.030756 |
4 | Male | 6 | 6 | training | 30.5523830 | 24 | 565.104652 |
4 | Male | 6 | 6 | validation | 10.9730840 | 9 | 202.960954 |
4 | Male | 7 | 7 | testing | 7.3273032 | 6 | 148.515378 |
4 | Male | 7 | 7 | training | 28.1043584 | 13 | 569.640602 |
4 | Male | 7 | 7 | validation | 11.0162318 | 10 | 223.285400 |
4 | Male | 8 | 8 | testing | 6.4462252 | 2 | 139.525664 |
4 | Male | 8 | 8 | training | 25.9401036 | 24 | 561.461952 |
4 | Male | 8 | 8 | validation | 9.4449257 | 4 | 204.431196 |
4 | Male | 9 | 9 | testing | 6.0076601 | 6 | 136.135510 |
4 | Male | 9 | 9 | training | 24.0233910 | 18 | 544.377770 |
4 | Male | 9 | 9 | validation | 8.3624984 | 6 | 189.496904 |
4 | Male | 10 | 10 | testing | 11.5078027 | 8 | 269.566706 |
4 | Male | 10 | 10 | training | 19.1284494 | 14 | 448.077990 |
4 | Male | 10 | 10 | validation | 6.3904381 | 2 | 149.694028 |
4 | Male | 11 | 11 | testing | 11.8292873 | 14 | 284.782304 |
4 | Male | 11 | 11 | training | 17.7473863 | 12 | 427.256640 |
4 | Male | 11 | 11 | validation | 6.4487102 | 0 | 155.248452 |
4 | Male | 12 | 12 | testing | 10.3505564 | 7 | 255.632414 |
4 | Male | 12 | 12 | training | 15.4577832 | 13 | 381.767924 |
4 | Male | 12 | 12 | validation | 6.0377488 | 4 | 149.117036 |
4 | Male | 13 | 13 | testing | 4.8111556 | 4 | 121.971240 |
4 | Male | 13 | 13 | training | 16.4199719 | 13 | 416.275114 |
4 | Male | 13 | 13 | validation | 5.4424370 | 7 | 137.975334 |
4 | Male | 14 | 14 | testing | 5.1157454 | 5 | 133.215598 |
4 | Male | 14 | 14 | training | 15.4708788 | 11 | 402.866486 |
4 | Male | 14 | 14 | validation | 5.0969777 | 5 | 132.726882 |
4 | Male | 15 | 15 | testing | 4.8947292 | 6 | 130.759736 |
4 | Male | 15 | 15 | training | 13.4259170 | 11 | 358.665268 |
4 | Male | 15 | 15 | validation | 4.4306221 | 2 | 118.361394 |
4 | Male | 16 | 16 | testing | 5.1256800 | 0 | 140.000000 |
4 | Male | 16 | 16 | training | 14.3528801 | 7 | 392.026662 |
4 | Male | 16 | 16 | validation | 4.3406645 | 3 | 118.558518 |
4 | Male | 17 | 17 | testing | 3.9788215 | 4 | 110.624226 |
4 | Male | 17 | 17 | training | 12.6807667 | 12 | 352.566706 |
4 | Male | 17 | 17 | validation | 4.2017135 | 3 | 116.821350 |
4 | Male | 18 | 18 | testing | 4.2585853 | 7 | 120.004094 |
4 | Male | 18 | 18 | training | 12.7436212 | 7 | 359.106750 |
4 | Male | 18 | 18 | validation | 4.2900643 | 4 | 120.891152 |
4 | Male | 19 | 19 | testing | 3.3969164 | 2 | 96.657080 |
4 | Male | 19 | 19 | training | 11.6773327 | 14 | 332.271020 |
4 | Male | 19 | 19 | validation | 4.2410217 | 3 | 120.675554 |
4 | Male | 20 | 20 | testing | 3.4307377 | 2 | 98.248452 |
4 | Male | 20 | 20 | training | 11.4451852 | 10 | 327.763830 |
4 | Male | 20 | 20 | validation | 4.0128884 | 2 | 114.919912 |
4 | Male | 21 | 21 | testing | 3.1661630 | 1 | 91.000000 |
4 | Male | 21 | 21 | training | 10.7849718 | 11 | 309.975334 |
4 | Male | 21 | 21 | validation | 3.7321382 | 2 | 107.266926 |
4 | Male | 22 | 22 | testing | 6.2650979 | 7 | 180.285400 |
4 | Male | 22 | 22 | training | 9.1021211 | 5 | 261.924006 |
4 | Male | 22 | 22 | validation | 3.3218958 | 1 | 95.591372 |
4 | Male | 23 | 23 | testing | 5.4650435 | 6 | 157.172458 |
4 | Male | 23 | 23 | training | 8.3887346 | 8 | 241.256640 |
4 | Male | 23 | 23 | validation | 3.3363736 | 3 | 95.952766 |
4 | Male | 24 | 24 | testing | 5.4170199 | 7 | 155.505092 |
4 | Male | 24 | 24 | training | 8.1395870 | 5 | 233.661174 |
4 | Male | 24 | 24 | validation | 2.9313614 | 3 | 84.149890 |
4 | Male | 25 | 25 | testing | 2.6683307 | 2 | 76.379868 |
4 | Male | 25 | 25 | training | 8.1480323 | 5 | 233.234072 |
4 | Male | 25 | 25 | validation | 2.9770069 | 3 | 85.215598 |
4 | Male | 26 | 26 | testing | 2.6315998 | 3 | 75.051328 |
4 | Male | 26 | 26 | training | 8.2350714 | 6 | 234.858298 |
4 | Male | 26 | 26 | validation | 2.8085760 | 1 | 80.098562 |
4 | Male | 27 | 27 | testing | 2.2689937 | 2 | 64.427102 |
4 | Male | 27 | 27 | training | 8.1748420 | 6 | 232.121130 |
4 | Male | 27 | 27 | validation | 2.3377662 | 5 | 66.379868 |
4 | Male | 28 | 28 | testing | 2.4363791 | 3 | 68.839824 |
4 | Male | 28 | 28 | training | 7.0559434 | 4 | 199.365488 |
4 | Male | 28 | 28 | validation | 3.1249609 | 1 | 88.295686 |
4 | Male | 29 | 29 | testing | 2.3941113 | 0 | 67.295686 |
4 | Male | 29 | 29 | training | 7.1365299 | 8 | 200.599560 |
4 | Male | 29 | 29 | validation | 2.6344500 | 3 | 74.051328 |
4 | Male | 30 | 30 | testing | 2.6581372 | 1 | 74.328540 |
4 | Male | 30 | 30 | training | 7.2927303 | 7 | 203.924006 |
4 | Male | 30 | 30 | validation | 2.7531597 | 1 | 76.985620 |
4 | Male | 31 | 31 | testing | 2.5170241 | 1 | 70.018474 |
4 | Male | 31 | 31 | training | 6.5622438 | 8 | 182.548232 |
4 | Male | 31 | 31 | validation | 2.5023347 | 3 | 69.609846 |
4 | Male | 32 | 32 | testing | 2.0420918 | 4 | 56.511284 |
4 | Male | 32 | 32 | training | 6.5182069 | 4 | 180.379868 |
4 | Male | 32 | 32 | validation | 2.2553461 | 3 | 62.412722 |
4 | Male | 33 | 33 | testing | 2.2599816 | 4 | 62.215598 |
4 | Male | 33 | 33 | training | 6.6917803 | 7 | 184.219692 |
4 | Male | 33 | 33 | validation | 2.1670434 | 2 | 59.657080 |
4 | Male | 34 | 34 | testing | 3.4539094 | 1 | 94.591372 |
4 | Male | 34 | 34 | training | 5.4849723 | 6 | 150.215598 |
4 | Male | 34 | 34 | validation | 1.8712860 | 3 | 51.248452 |
4 | Male | 35 | 35 | testing | 3.4745384 | 5 | 94.661174 |
4 | Male | 35 | 35 | training | 5.3289326 | 1 | 145.182744 |
4 | Male | 35 | 35 | validation | 1.8569563 | 1 | 50.591372 |
4 | Male | 36 | 36 | testing | 3.3892038 | 2 | 91.858298 |
4 | Male | 36 | 36 | training | 5.1957445 | 1 | 140.821350 |
4 | Male | 36 | 36 | validation | 1.7034280 | 3 | 46.168364 |
4 | Male | 37 | 37 | testing | 1.1138885 | 1 | 30.032854 |
4 | Male | 37 | 37 | training | 5.1762377 | 3 | 139.562612 |
4 | Male | 37 | 37 | validation | 1.6690050 | 0 | 45.000000 |
4 | Male | 38 | 38 | testing | 0.7951920 | 1 | 21.328540 |
4 | Male | 38 | 38 | training | 4.9159203 | 3 | 131.854204 |
4 | Male | 38 | 38 | validation | 1.5286030 | 0 | 41.000000 |
4 | Male | 39 | 39 | testing | 1.1913375 | 1 | 31.788496 |
4 | Male | 39 | 39 | training | 4.7087115 | 5 | 125.642700 |
4 | Male | 39 | 39 | validation | 1.6699196 | 1 | 44.558518 |
4 | Male | 40 | 40 | testing | 1.1759852 | 3 | 31.215598 |
4 | Male | 40 | 40 | training | 4.6537366 | 4 | 123.529758 |
4 | Male | 40 | 40 | validation | 1.5822660 | 1 | 42.000000 |
4 | Male | 41 | 41 | testing | 1.0603320 | 0 | 28.000000 |
4 | Male | 41 | 41 | training | 4.8827677 | 2 | 128.938386 |
4 | Male | 41 | 41 | validation | 1.5147600 | 1 | 40.000000 |
4 | Male | 42 | 42 | testing | 1.4084790 | 0 | 37.000000 |
4 | Male | 42 | 42 | training | 3.9959402 | 3 | 104.971240 |
4 | Male | 42 | 42 | validation | 1.3330482 | 1 | 35.018474 |
4 | Male | 43 | 43 | testing | 1.1185143 | 1 | 29.229978 |
4 | Male | 43 | 43 | training | 3.6467414 | 4 | 95.299780 |
4 | Male | 43 | 43 | validation | 1.3556535 | 0 | 35.427102 |
4 | Male | 44 | 44 | testing | 1.1539800 | 0 | 30.000000 |
4 | Male | 44 | 44 | training | 4.2086698 | 3 | 109.412722 |
4 | Male | 44 | 44 | validation | 1.4232420 | 0 | 37.000000 |
4 | Male | 45 | 45 | testing | 1.0889997 | 1 | 28.164270 |
4 | Male | 45 | 45 | training | 3.3468717 | 0 | 86.558518 |
4 | Male | 45 | 45 | validation | 1.5758577 | 2 | 40.755642 |
4 | Male | 46 | 46 | testing | 2.1307962 | 2 | 54.821350 |
4 | Male | 46 | 46 | training | 3.0776749 | 1 | 79.182744 |
4 | Male | 46 | 46 | validation | 0.8003454 | 1 | 20.591372 |
4 | Male | 47 | 47 | testing | 1.9062153 | 1 | 48.788496 |
4 | Male | 47 | 47 | training | 3.0387125 | 4 | 77.774116 |
4 | Male | 47 | 47 | validation | 1.0716043 | 1 | 27.427102 |
4 | Male | 48 | 48 | testing | 1.9921375 | 1 | 50.722788 |
4 | Male | 48 | 48 | training | 2.9052205 | 3 | 73.971240 |
4 | Male | 48 | 48 | validation | 0.8640500 | 0 | 22.000000 |
4 | Male | 49 | 49 | testing | 0.8563186 | 2 | 21.689934 |
4 | Male | 49 | 49 | training | 2.6698044 | 1 | 67.624226 |
4 | Male | 49 | 49 | validation | 0.8498332 | 0 | 21.525664 |
4 | Male | 50 | 50 | testing | 0.7534633 | 3 | 18.985620 |
4 | Male | 50 | 50 | training | 2.7208133 | 1 | 68.558518 |
4 | Male | 50 | 50 | validation | 1.0318360 | 0 | 26.000000 |
4 | Male | 51 | 51 | testing | 0.5585020 | 0 | 14.000000 |
4 | Male | 51 | 51 | training | 2.6619355 | 4 | 66.726882 |
4 | Male | 51 | 51 | validation | 0.8358687 | 1 | 20.952766 |
4 | Male | 52 | 52 | testing | 0.8421420 | 0 | 21.000000 |
4 | Male | 52 | 52 | training | 2.6480495 | 1 | 66.032854 |
4 | Male | 52 | 52 | validation | 0.9381561 | 1 | 23.394248 |
4 | Male | 53 | 53 | testing | 0.5643540 | 0 | 14.000000 |
4 | Male | 53 | 53 | training | 2.3446599 | 2 | 58.164270 |
4 | Male | 53 | 53 | validation | 0.8465310 | 0 | 21.000000 |
4 | Male | 54 | 54 | testing | 0.6251216 | 2 | 15.427102 |
4 | Male | 54 | 54 | training | 2.7255572 | 1 | 67.262832 |
4 | Male | 54 | 54 | validation | 0.9319830 | 0 | 23.000000 |
4 | Male | 55 | 55 | testing | 0.6964757 | 0 | 17.098562 |
4 | Male | 55 | 55 | training | 2.3586660 | 1 | 57.905532 |
4 | Male | 55 | 55 | validation | 0.9368590 | 0 | 23.000000 |
4 | Male | 56 | 56 | testing | 0.4073300 | 0 | 10.000000 |
4 | Male | 56 | 56 | training | 2.2177316 | 3 | 54.445576 |
4 | Male | 56 | 56 | validation | 0.9368590 | 0 | 23.000000 |
4 | Male | 57 | 57 | testing | 0.6924610 | 0 | 17.000000 |
4 | Male | 57 | 57 | training | 2.5835761 | 1 | 63.427102 |
4 | Male | 57 | 57 | validation | 1.1292323 | 1 | 27.722788 |
4 | Male | 58 | 58 | testing | 1.0590580 | 0 | 26.000000 |
4 | Male | 58 | 58 | training | 1.9706572 | 3 | 48.379868 |
4 | Male | 58 | 58 | validation | 0.4260654 | 1 | 10.459956 |
4 | Male | 59 | 59 | testing | 1.0978670 | 2 | 26.952766 |
4 | Male | 59 | 59 | training | 2.1095008 | 0 | 51.788496 |
4 | Male | 59 | 59 | validation | 0.4887960 | 0 | 12.000000 |
4 | Male | 60 | 60 | testing | 0.9202144 | 1 | 22.591372 |
4 | Male | 60 | 60 | training | 1.9085123 | 0 | 46.854204 |
4 | Male | 60 | 60 | validation | 0.6517280 | 0 | 16.000000 |
4 | Male | 61 | 61 | testing | 0.4601072 | 1 | 11.295686 |
4 | Male | 61 | 61 | training | 1.5025205 | 0 | 36.887058 |
4 | Male | 61 | 61 | validation | 0.5823062 | 1 | 14.295686 |
4 | Male | 62 | 62 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 62 | 62 | training | 1.8216933 | 1 | 44.722788 |
4 | Male | 62 | 62 | validation | 0.6109950 | 0 | 15.000000 |
4 | Male | 63 | 63 | testing | 0.4887960 | 0 | 12.000000 |
4 | Male | 63 | 63 | training | 1.4256550 | 0 | 35.000000 |
4 | Male | 63 | 63 | validation | 0.6109950 | 0 | 15.000000 |
4 | Male | 64 | 64 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 64 | 64 | training | 1.6333347 | 1 | 40.098562 |
4 | Male | 64 | 64 | validation | 0.5168991 | 1 | 12.689934 |
4 | Male | 65 | 65 | testing | 0.3665970 | 0 | 9.000000 |
4 | Male | 65 | 65 | training | 1.6321632 | 2 | 40.069802 |
4 | Male | 65 | 65 | validation | 0.5702620 | 0 | 14.000000 |
4 | Male | 66 | 66 | testing | 0.3199253 | 2 | 7.854204 |
4 | Male | 66 | 66 | training | 1.6293200 | 0 | 40.000000 |
4 | Male | 66 | 66 | validation | 0.6109950 | 0 | 15.000000 |
4 | Male | 67 | 67 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 67 | 67 | training | 1.6293200 | 0 | 40.000000 |
4 | Male | 67 | 67 | validation | 0.4887960 | 0 | 12.000000 |
4 | Male | 68 | 68 | testing | 0.2443980 | 0 | 6.000000 |
4 | Male | 68 | 68 | training | 1.4256550 | 0 | 35.000000 |
4 | Male | 68 | 68 | validation | 0.4887960 | 0 | 12.000000 |
4 | Male | 69 | 69 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 69 | 69 | training | 1.3055467 | 1 | 32.051328 |
4 | Male | 69 | 69 | validation | 0.4688891 | 3 | 11.511284 |
4 | Male | 70 | 70 | testing | 0.8553930 | 0 | 21.000000 |
4 | Male | 70 | 70 | training | 1.1592594 | 1 | 28.459956 |
4 | Male | 70 | 70 | validation | 0.3258640 | 0 | 8.000000 |
4 | Male | 71 | 71 | testing | 0.3759647 | 0 | 9.229978 |
4 | Male | 71 | 71 | training | 0.9475649 | 1 | 23.262832 |
4 | Male | 71 | 71 | validation | 0.4073300 | 0 | 10.000000 |
4 | Male | 72 | 72 | testing | 0.5769532 | 0 | 14.164270 |
4 | Male | 72 | 72 | training | 1.2133748 | 1 | 29.788496 |
4 | Male | 72 | 72 | validation | 0.4073300 | 0 | 10.000000 |
4 | Male | 73 | 73 | testing | 0.4073300 | 0 | 10.000000 |
4 | Male | 73 | 73 | training | 0.7739270 | 0 | 19.000000 |
4 | Male | 73 | 73 | validation | 0.2644716 | 1 | 6.492810 |
4 | Male | 74 | 74 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 74 | 74 | training | 0.8553930 | 0 | 21.000000 |
4 | Male | 74 | 74 | validation | 0.3906854 | 1 | 9.591372 |
4 | Male | 75 | 75 | testing | 0.2443980 | 0 | 6.000000 |
4 | Male | 75 | 75 | training | 0.8961260 | 0 | 22.000000 |
4 | Male | 75 | 75 | validation | 0.2851310 | 0 | 7.000000 |
4 | Male | 76 | 76 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 76 | 76 | training | 0.8033683 | 1 | 19.722788 |
4 | Male | 76 | 76 | validation | 0.2397975 | 1 | 5.887058 |
4 | Male | 77 | 77 | testing | 0.2851310 | 1 | 7.000000 |
4 | Male | 77 | 77 | training | 0.8553930 | 1 | 21.000000 |
4 | Male | 77 | 77 | validation | 0.1315667 | 1 | 3.229978 |
4 | Male | 78 | 78 | testing | 0.2036650 | 0 | 5.000000 |
4 | Male | 78 | 78 | training | 0.8146600 | 0 | 20.000000 |
4 | Male | 78 | 78 | validation | 0.1923733 | 1 | 4.722788 |
4 | Male | 79 | 79 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 79 | 79 | training | 0.8146600 | 0 | 20.000000 |
4 | Male | 79 | 79 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 80 | 80 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 80 | 80 | training | 0.7331940 | 0 | 18.000000 |
4 | Male | 80 | 80 | validation | 0.2851310 | 0 | 7.000000 |
4 | Male | 81 | 81 | testing | 0.3258640 | 0 | 8.000000 |
4 | Male | 81 | 81 | training | 0.6924610 | 0 | 17.000000 |
4 | Male | 81 | 81 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 82 | 82 | testing | 0.2851310 | 0 | 7.000000 |
4 | Male | 82 | 82 | training | 0.7806182 | 1 | 19.164270 |
4 | Male | 82 | 82 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 83 | 83 | testing | 0.4407860 | 0 | 10.821350 |
4 | Male | 83 | 83 | training | 0.6924610 | 0 | 17.000000 |
4 | Male | 83 | 83 | validation | 0.1629320 | 0 | 4.000000 |
4 | Male | 84 | 84 | testing | 0.4073300 | 0 | 10.000000 |
4 | Male | 84 | 84 | training | 0.6109950 | 0 | 15.000000 |
4 | Male | 84 | 84 | validation | 0.1002014 | 1 | 2.459956 |
4 | Male | 85 | 85 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 85 | 85 | training | 0.6517280 | 0 | 16.000000 |
4 | Male | 85 | 85 | validation | 0.2036650 | 0 | 5.000000 |
4 | Male | 86 | 86 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 86 | 86 | training | 0.4841955 | 1 | 11.887058 |
4 | Male | 86 | 86 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 87 | 87 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 87 | 87 | training | 0.5702620 | 0 | 14.000000 |
4 | Male | 87 | 87 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 88 | 88 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 88 | 88 | training | 0.3258640 | 0 | 8.000000 |
4 | Male | 88 | 88 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 89 | 89 | testing | 0.0975249 | 1 | 2.394248 |
4 | Male | 89 | 89 | training | 0.4887960 | 0 | 12.000000 |
4 | Male | 89 | 89 | validation | 0.1629320 | 0 | 4.000000 |
4 | Male | 90 | 90 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 90 | 90 | training | 0.5702620 | 0 | 14.000000 |
4 | Male | 90 | 90 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 91 | 91 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 91 | 91 | training | 0.5702620 | 0 | 14.000000 |
4 | Male | 91 | 91 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 92 | 92 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 92 | 92 | training | 0.5008402 | 1 | 12.295686 |
4 | Male | 92 | 92 | validation | 0.1629320 | 0 | 4.000000 |
4 | Male | 93 | 93 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 93 | 93 | training | 0.5702620 | 0 | 14.000000 |
4 | Male | 93 | 93 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 94 | 94 | testing | 0.2851310 | 0 | 7.000000 |
4 | Male | 94 | 94 | training | 0.3665970 | 0 | 9.000000 |
4 | Male | 94 | 94 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 95 | 95 | testing | 0.4073300 | 0 | 10.000000 |
4 | Male | 95 | 95 | training | 0.2443980 | 0 | 6.000000 |
4 | Male | 95 | 95 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 96 | 96 | testing | 0.3298787 | 1 | 8.098562 |
4 | Male | 96 | 96 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 96 | 96 | validation | 0.1355814 | 1 | 3.328540 |
4 | Male | 97 | 97 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 97 | 97 | training | 0.2851310 | 0 | 7.000000 |
4 | Male | 97 | 97 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 98 | 98 | testing | 0.2851310 | 0 | 7.000000 |
4 | Male | 98 | 98 | training | 0.2851310 | 0 | 7.000000 |
4 | Male | 98 | 98 | validation | 0.1629320 | 0 | 4.000000 |
4 | Male | 99 | 99 | testing | 0.2036650 | 0 | 5.000000 |
4 | Male | 99 | 99 | training | 0.2851310 | 0 | 7.000000 |
4 | Male | 99 | 99 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 100 | 100 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 100 | 100 | training | 0.2443980 | 0 | 6.000000 |
4 | Male | 100 | 100 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 101 | 101 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 101 | 101 | training | 0.2443980 | 0 | 6.000000 |
4 | Male | 101 | 101 | validation | 0.1221990 | 0 | 3.000000 |
4 | Male | 102 | 102 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 102 | 102 | training | 0.3258640 | 0 | 8.000000 |
4 | Male | 102 | 102 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 103 | 103 | testing | 0.1162603 | 1 | 2.854204 |
4 | Male | 103 | 103 | training | 0.2036650 | 0 | 5.000000 |
4 | Male | 103 | 103 | validation | 0.0814660 | 0 | 2.000000 |
4 | Male | 104 | 104 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 104 | 104 | training | 0.0227501 | 1 | 0.558518 |
4 | Male | 105 | 105 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 105 | 105 | training | 0.3258640 | 0 | 8.000000 |
4 | Male | 106 | 106 | testing | 0.2443980 | 0 | 6.000000 |
4 | Male | 106 | 106 | training | 0.1221990 | 0 | 3.000000 |
4 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 107 | 107 | testing | 0.2443980 | 0 | 6.000000 |
4 | Male | 107 | 107 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 107 | 107 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 108 | 108 | testing | 0.2851310 | 0 | 7.000000 |
4 | Male | 108 | 108 | training | 0.1629320 | 0 | 4.000000 |
4 | Male | 108 | 108 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 109 | 109 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 109 | 109 | training | 0.1221990 | 0 | 3.000000 |
4 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 110 | 110 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 110 | 110 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 110 | 110 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 111 | 111 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 111 | 111 | training | 0.1629320 | 0 | 4.000000 |
4 | Male | 111 | 111 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 112 | 112 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 112 | 112 | training | 0.1221990 | 0 | 3.000000 |
4 | Male | 112 | 112 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 113 | 113 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 113 | 113 | training | 0.1135838 | 1 | 2.788496 |
4 | Male | 114 | 114 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 114 | 114 | training | 0.1221990 | 0 | 3.000000 |
4 | Male | 114 | 114 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 115 | 115 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 115 | 115 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 115 | 115 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 116 | 116 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 116 | 116 | training | 0.1221990 | 0 | 3.000000 |
4 | Male | 117 | 117 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 117 | 117 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 118 | 118 | testing | 0.1221990 | 0 | 3.000000 |
4 | Male | 118 | 118 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 119 | 119 | testing | 0.1629320 | 0 | 4.000000 |
4 | Male | 119 | 119 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 120 | 120 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 120 | 120 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 121 | 121 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 121 | 121 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 121 | 121 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 122 | 122 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 122 | 122 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 123 | 123 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 123 | 123 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 124 | 124 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 125 | 125 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 126 | 126 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 127 | 127 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 128 | 128 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 128 | 128 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 129 | 129 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 129 | 129 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 129 | 129 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 130 | 130 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 131 | 131 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 131 | 131 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 132 | 132 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 133 | 133 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 134 | 134 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 134 | 134 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 135 | 135 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 135 | 135 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 136 | 136 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 137 | 137 | training | 0.0814660 | 0 | 2.000000 |
4 | Male | 138 | 138 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 139 | 139 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 141 | 141 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 141 | 141 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 142 | 142 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 142 | 142 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 143 | 143 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 143 | 143 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 144 | 144 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 144 | 144 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 144 | 144 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 145 | 145 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 145 | 145 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 146 | 146 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 146 | 146 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 147 | 147 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 148 | 148 | testing | 0.0187354 | 1 | 0.459956 |
4 | Male | 149 | 149 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 150 | 150 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 151 | 151 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 152 | 152 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 153 | 153 | training | 0.0407330 | 0 | 1.000000 |
4 | Male | 153 | 153 | validation | 0.0407330 | 0 | 1.000000 |
4 | Male | 154 | 154 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 156 | 156 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 157 | 157 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 158 | 158 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 160 | 161 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 160 | 162 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 160 | 163 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 160 | 165 | testing | 0.0407330 | 0 | 1.000000 |
4 | Male | 160 | 166 | testing | 0.0814660 | 0 | 2.000000 |
4 | Male | 160 | 168 | testing | 0.0407330 | 0 | 1.000000 |
5 | Female | 1 | 1 | testing | 4.1852654 | 4 | 32.804770 |
5 | Female | 1 | 1 | training | 18.2298503 | 15 | 142.888442 |
5 | Female | 1 | 1 | validation | 6.6278921 | 11 | 51.950464 |
5 | Female | 2 | 2 | testing | 7.6569891 | 8 | 69.632414 |
5 | Female | 2 | 2 | training | 40.2053450 | 32 | 365.626120 |
5 | Female | 2 | 2 | validation | 12.2097252 | 9 | 111.034850 |
5 | Female | 3 | 3 | testing | 7.9724417 | 5 | 96.006090 |
5 | Female | 3 | 3 | training | 41.3286529 | 32 | 497.689730 |
5 | Female | 3 | 3 | validation | 13.0137286 | 17 | 156.714498 |
5 | Female | 4 | 4 | testing | 13.9029702 | 11 | 260.599254 |
5 | Female | 4 | 4 | training | 58.1385894 | 49 | 1089.758002 |
5 | Female | 4 | 4 | validation | 21.3421515 | 14 | 400.040328 |
5 | Female | 5 | 5 | testing | 10.3924116 | 4 | 264.135510 |
5 | Female | 5 | 5 | training | 45.3195386 | 33 | 1151.850008 |
5 | Female | 5 | 5 | validation | 15.7501170 | 14 | 400.307968 |
5 | Female | 6 | 6 | testing | 9.3583788 | 8 | 272.942480 |
5 | Female | 6 | 6 | training | 40.3034851 | 33 | 1175.474234 |
5 | Female | 6 | 6 | validation | 14.3107720 | 19 | 417.381864 |
5 | Female | 7 | 7 | testing | 8.1718193 | 11 | 272.439384 |
5 | Female | 7 | 7 | training | 34.1710773 | 26 | 1139.225782 |
5 | Female | 7 | 7 | validation | 12.1285115 | 9 | 404.351108 |
5 | Female | 8 | 8 | testing | 7.1040423 | 3 | 267.431196 |
5 | Female | 8 | 8 | training | 30.7504190 | 30 | 1157.597462 |
5 | Female | 8 | 8 | validation | 10.8445474 | 15 | 408.242260 |
5 | Female | 9 | 9 | testing | 6.4558316 | 6 | 263.266926 |
5 | Female | 9 | 9 | training | 26.5093374 | 23 | 1081.043038 |
5 | Female | 9 | 9 | validation | 9.2381970 | 10 | 376.730976 |
5 | Female | 10 | 10 | testing | 12.7982737 | 13 | 538.285400 |
5 | Female | 10 | 10 | training | 20.5272306 | 11 | 863.359296 |
5 | Female | 10 | 10 | validation | 6.6023559 | 3 | 277.689934 |
5 | Female | 11 | 11 | testing | 11.6227180 | 10 | 495.574894 |
5 | Female | 11 | 11 | training | 20.9143919 | 18 | 891.757638 |
5 | Female | 11 | 11 | validation | 7.0817942 | 6 | 301.956860 |
5 | Female | 12 | 12 | testing | 11.0743307 | 13 | 475.231974 |
5 | Female | 12 | 12 | training | 20.0111987 | 15 | 858.739164 |
5 | Female | 12 | 12 | validation | 6.5184755 | 5 | 279.726882 |
5 | Female | 13 | 13 | testing | 5.4950818 | 7 | 238.398342 |
5 | Female | 13 | 13 | training | 18.9629546 | 19 | 822.687836 |
5 | Female | 13 | 13 | validation | 6.5277881 | 3 | 283.201218 |
5 | Female | 14 | 14 | testing | 5.5567439 | 6 | 248.891152 |
5 | Female | 14 | 14 | training | 19.0167535 | 17 | 851.776112 |
5 | Female | 14 | 14 | validation | 6.5866739 | 7 | 295.022568 |
5 | Female | 15 | 15 | testing | 4.8995100 | 1 | 231.000000 |
5 | Female | 15 | 15 | training | 16.8852060 | 17 | 796.096464 |
5 | Female | 15 | 15 | validation | 5.9608805 | 9 | 281.041042 |
5 | Female | 16 | 16 | testing | 4.5121345 | 3 | 223.938386 |
5 | Female | 16 | 16 | training | 15.2414147 | 11 | 756.435290 |
5 | Female | 16 | 16 | validation | 5.5106891 | 6 | 273.496904 |
5 | Female | 17 | 17 | testing | 3.9226561 | 2 | 202.084182 |
5 | Female | 17 | 17 | training | 14.1317255 | 9 | 728.026662 |
5 | Female | 17 | 17 | validation | 5.5796061 | 3 | 287.445576 |
5 | Female | 18 | 18 | testing | 4.0863317 | 2 | 214.821350 |
5 | Female | 18 | 18 | training | 14.3805921 | 11 | 755.997902 |
5 | Female | 18 | 18 | validation | 5.3459627 | 9 | 281.041042 |
5 | Female | 19 | 19 | testing | 4.1045958 | 1 | 216.624226 |
5 | Female | 19 | 19 | training | 13.8359303 | 10 | 730.205312 |
5 | Female | 19 | 19 | validation | 5.4275708 | 4 | 286.445576 |
5 | Female | 20 | 20 | testing | 4.3228941 | 1 | 226.459956 |
5 | Female | 20 | 20 | training | 14.1297792 | 9 | 740.205312 |
5 | Female | 20 | 20 | validation | 4.7391674 | 6 | 248.266926 |
5 | Female | 21 | 21 | testing | 4.4812930 | 1 | 231.591372 |
5 | Female | 21 | 21 | training | 13.7850664 | 11 | 712.406530 |
5 | Female | 21 | 21 | validation | 4.9815719 | 3 | 257.445576 |
5 | Female | 22 | 22 | testing | 7.6274923 | 7 | 387.694028 |
5 | Female | 22 | 22 | training | 11.2779682 | 12 | 573.242260 |
5 | Female | 22 | 22 | validation | 4.6399127 | 3 | 235.839824 |
5 | Female | 23 | 23 | testing | 7.1954334 | 5 | 359.609846 |
5 | Female | 23 | 23 | training | 11.6509486 | 9 | 582.285400 |
5 | Female | 23 | 23 | validation | 3.7519133 | 3 | 187.511284 |
5 | Female | 24 | 24 | testing | 7.7280431 | 10 | 381.217594 |
5 | Female | 24 | 24 | training | 11.7185055 | 15 | 578.063610 |
5 | Female | 24 | 24 | validation | 3.8317825 | 2 | 189.018474 |
5 | Female | 25 | 25 | testing | 3.5631438 | 2 | 175.032854 |
5 | Female | 25 | 25 | training | 11.0958599 | 11 | 545.063610 |
5 | Female | 25 | 25 | validation | 3.9947370 | 4 | 196.234072 |
5 | Female | 26 | 26 | testing | 3.5556506 | 3 | 175.657080 |
5 | Female | 26 | 26 | training | 11.2810279 | 12 | 557.307968 |
5 | Female | 26 | 26 | validation | 4.1530180 | 3 | 205.168364 |
5 | Female | 27 | 27 | testing | 3.4826573 | 4 | 174.106750 |
5 | Female | 27 | 27 | training | 10.0439290 | 4 | 502.121130 |
5 | Female | 27 | 27 | validation | 3.6169695 | 3 | 180.821350 |
5 | Female | 28 | 28 | testing | 3.3695541 | 1 | 170.558518 |
5 | Female | 28 | 28 | training | 9.7699299 | 6 | 494.529758 |
5 | Female | 28 | 28 | validation | 3.8725410 | 2 | 196.018474 |
5 | Female | 29 | 29 | testing | 3.2081937 | 6 | 163.708408 |
5 | Female | 29 | 29 | training | 10.2455284 | 9 | 522.811064 |
5 | Female | 29 | 29 | validation | 3.6683005 | 3 | 187.186838 |
5 | Female | 30 | 30 | testing | 3.0638831 | 3 | 156.624226 |
5 | Female | 30 | 30 | training | 9.7741707 | 13 | 499.650888 |
5 | Female | 30 | 30 | validation | 3.4907524 | 3 | 178.445576 |
5 | Female | 31 | 31 | testing | 3.1451882 | 3 | 160.182744 |
5 | Female | 31 | 31 | training | 9.4382253 | 5 | 480.683742 |
5 | Female | 31 | 31 | validation | 3.5540154 | 1 | 181.004094 |
5 | Female | 32 | 32 | testing | 3.0844338 | 1 | 155.952766 |
5 | Female | 32 | 32 | training | 9.4501472 | 7 | 477.811064 |
5 | Female | 32 | 32 | validation | 3.5406274 | 1 | 179.018474 |
5 | Female | 33 | 33 | testing | 2.6450865 | 1 | 132.492810 |
5 | Female | 33 | 33 | training | 9.4961814 | 7 | 475.665268 |
5 | Female | 33 | 33 | validation | 3.0162446 | 2 | 151.084182 |
5 | Female | 34 | 34 | testing | 5.7328892 | 7 | 284.158078 |
5 | Female | 34 | 34 | training | 7.4836819 | 7 | 370.938386 |
5 | Female | 34 | 34 | validation | 2.8390822 | 2 | 140.722788 |
5 | Female | 35 | 35 | testing | 5.3758937 | 2 | 263.511284 |
5 | Female | 35 | 35 | training | 7.2310442 | 3 | 354.445576 |
5 | Female | 35 | 35 | validation | 2.7688806 | 3 | 135.722788 |
5 | Female | 36 | 36 | testing | 4.8506882 | 7 | 235.059516 |
5 | Female | 36 | 36 | training | 7.0283158 | 10 | 340.585180 |
5 | Female | 36 | 36 | validation | 2.7256892 | 2 | 132.084182 |
5 | Female | 37 | 37 | testing | 2.8209735 | 2 | 135.117036 |
5 | Female | 37 | 37 | training | 6.8056275 | 3 | 325.971240 |
5 | Female | 37 | 37 | validation | 2.3771335 | 3 | 113.858298 |
5 | Female | 38 | 38 | testing | 2.6579760 | 1 | 125.821350 |
5 | Female | 38 | 38 | training | 7.3606090 | 1 | 348.431196 |
5 | Female | 38 | 38 | validation | 2.5433285 | 0 | 120.394248 |
5 | Female | 39 | 39 | testing | 2.5130484 | 0 | 117.558518 |
5 | Female | 39 | 39 | training | 7.0893061 | 8 | 331.632414 |
5 | Female | 39 | 39 | validation | 2.4117820 | 1 | 112.821350 |
5 | Female | 40 | 40 | testing | 2.4494794 | 3 | 113.234072 |
5 | Female | 40 | 40 | training | 6.3710452 | 4 | 294.519472 |
5 | Female | 40 | 40 | validation | 2.4951866 | 1 | 115.347014 |
5 | Female | 41 | 41 | testing | 2.6571267 | 3 | 121.379868 |
5 | Female | 41 | 41 | training | 6.3295551 | 3 | 289.139604 |
5 | Female | 41 | 41 | validation | 2.3230080 | 1 | 106.117036 |
5 | Female | 42 | 42 | testing | 2.7081700 | 2 | 122.248452 |
5 | Female | 42 | 42 | training | 6.5722535 | 3 | 296.675554 |
5 | Female | 42 | 42 | validation | 2.1917821 | 3 | 98.938386 |
5 | Female | 43 | 43 | testing | 2.5381805 | 2 | 113.215598 |
5 | Female | 43 | 43 | training | 6.2484556 | 7 | 278.712502 |
5 | Female | 43 | 43 | validation | 2.1328430 | 1 | 95.135510 |
5 | Female | 44 | 44 | testing | 2.5129169 | 5 | 110.759736 |
5 | Female | 44 | 44 | training | 6.3941486 | 9 | 281.829538 |
5 | Female | 44 | 44 | validation | 1.9211190 | 2 | 84.675554 |
5 | Female | 45 | 45 | testing | 2.1526295 | 2 | 93.755642 |
5 | Female | 45 | 45 | training | 6.1169301 | 7 | 266.416816 |
5 | Female | 45 | 45 | validation | 2.1296695 | 2 | 92.755642 |
5 | Female | 46 | 46 | testing | 3.8130893 | 2 | 164.102656 |
5 | Female | 46 | 46 | training | 4.8804185 | 3 | 210.036948 |
5 | Female | 46 | 46 | validation | 1.3473539 | 2 | 57.985620 |
5 | Female | 47 | 47 | testing | 3.8461748 | 1 | 163.562612 |
5 | Female | 47 | 47 | training | 4.9160345 | 8 | 209.059516 |
5 | Female | 47 | 47 | validation | 1.5284750 | 0 | 65.000000 |
5 | Female | 48 | 48 | testing | 3.8261998 | 2 | 160.778210 |
5 | Female | 48 | 48 | training | 4.3274241 | 3 | 181.839824 |
5 | Female | 48 | 48 | validation | 1.4544632 | 1 | 61.117036 |
5 | Female | 49 | 49 | testing | 1.4932080 | 0 | 62.000000 |
5 | Female | 49 | 49 | training | 4.6843620 | 4 | 194.500998 |
5 | Female | 49 | 49 | validation | 1.5500798 | 1 | 64.361394 |
5 | Female | 50 | 50 | testing | 1.7304830 | 0 | 71.000000 |
5 | Female | 50 | 50 | training | 4.3872398 | 3 | 180.004094 |
5 | Female | 50 | 50 | validation | 1.4208408 | 0 | 58.295686 |
5 | Female | 51 | 51 | testing | 1.9486140 | 0 | 79.000000 |
5 | Female | 51 | 51 | training | 4.1537135 | 6 | 168.398342 |
5 | Female | 51 | 51 | validation | 1.4140658 | 0 | 57.328540 |
5 | Female | 52 | 52 | testing | 1.7376010 | 2 | 69.609846 |
5 | Female | 52 | 52 | training | 4.0365653 | 6 | 161.708408 |
5 | Female | 52 | 52 | validation | 1.4180156 | 2 | 56.806970 |
5 | Female | 53 | 53 | testing | 1.6482411 | 3 | 65.248452 |
5 | Female | 53 | 53 | training | 4.3461886 | 3 | 172.051328 |
5 | Female | 53 | 53 | validation | 1.4398770 | 0 | 57.000000 |
5 | Female | 54 | 54 | testing | 1.6420798 | 3 | 64.234072 |
5 | Female | 54 | 54 | training | 3.8782737 | 1 | 151.708408 |
5 | Female | 54 | 54 | validation | 1.5338400 | 1 | 60.000000 |
5 | Female | 55 | 55 | testing | 1.7592280 | 0 | 68.000000 |
5 | Female | 55 | 55 | training | 4.1848861 | 4 | 161.759736 |
5 | Female | 55 | 55 | validation | 1.3452920 | 0 | 52.000000 |
5 | Female | 56 | 56 | testing | 1.7600780 | 1 | 68.032854 |
5 | Female | 56 | 56 | training | 3.7806718 | 3 | 146.135510 |
5 | Female | 56 | 56 | validation | 1.4136613 | 3 | 54.642700 |
5 | Female | 57 | 57 | testing | 1.8093760 | 2 | 69.938386 |
5 | Female | 57 | 57 | training | 3.8315638 | 4 | 148.102656 |
5 | Female | 57 | 57 | validation | 1.0458896 | 1 | 40.427102 |
5 | Female | 58 | 58 | testing | 2.3840098 | 2 | 92.149890 |
5 | Female | 58 | 58 | training | 2.8954800 | 1 | 111.919912 |
5 | Female | 58 | 58 | validation | 1.1371020 | 1 | 43.952766 |
5 | Female | 59 | 59 | testing | 2.5252643 | 0 | 97.609846 |
5 | Female | 59 | 59 | training | 2.8632873 | 3 | 110.675554 |
5 | Female | 59 | 59 | validation | 1.0535392 | 1 | 40.722788 |
5 | Female | 60 | 60 | testing | 2.3603167 | 2 | 91.234072 |
5 | Female | 60 | 60 | training | 2.5125148 | 2 | 97.117036 |
5 | Female | 60 | 60 | validation | 0.9119127 | 3 | 35.248452 |
5 | Female | 61 | 61 | testing | 1.0624109 | 1 | 41.065708 |
5 | Female | 61 | 61 | training | 3.0202132 | 4 | 116.741262 |
5 | Female | 61 | 61 | validation | 0.9313560 | 0 | 36.000000 |
5 | Female | 62 | 62 | testing | 0.9373058 | 0 | 36.229978 |
5 | Female | 62 | 62 | training | 2.4836160 | 1 | 96.000000 |
5 | Female | 62 | 62 | validation | 1.0865820 | 0 | 42.000000 |
5 | Female | 63 | 63 | testing | 0.9830980 | 0 | 38.000000 |
5 | Female | 63 | 63 | training | 2.4689005 | 4 | 95.431196 |
5 | Female | 63 | 63 | validation | 0.9830980 | 0 | 38.000000 |
5 | Female | 64 | 64 | testing | 0.9076629 | 3 | 35.084182 |
5 | Female | 64 | 64 | training | 2.6651909 | 2 | 103.018474 |
5 | Female | 64 | 64 | validation | 0.9572270 | 0 | 37.000000 |
5 | Female | 65 | 65 | testing | 0.6370534 | 2 | 24.624226 |
5 | Female | 65 | 65 | training | 2.4836160 | 0 | 96.000000 |
5 | Female | 65 | 65 | validation | 0.9313560 | 1 | 36.000000 |
5 | Female | 66 | 66 | testing | 0.9500552 | 0 | 36.722788 |
5 | Female | 66 | 66 | training | 2.3636106 | 3 | 91.361394 |
5 | Female | 66 | 66 | validation | 0.8796140 | 0 | 34.000000 |
5 | Female | 67 | 67 | testing | 0.8766921 | 1 | 33.887058 |
5 | Female | 67 | 67 | training | 2.1660982 | 1 | 83.726882 |
5 | Female | 67 | 67 | validation | 1.0208685 | 1 | 39.459956 |
5 | Female | 68 | 68 | testing | 0.8915135 | 2 | 34.459956 |
5 | Female | 68 | 68 | training | 2.4264022 | 2 | 93.788496 |
5 | Female | 68 | 68 | validation | 0.8278720 | 0 | 32.000000 |
5 | Female | 69 | 69 | testing | 0.6985170 | 0 | 27.000000 |
5 | Female | 69 | 69 | training | 2.4836160 | 0 | 96.000000 |
5 | Female | 69 | 69 | validation | 0.9313560 | 0 | 36.000000 |
5 | Female | 70 | 70 | testing | 1.3330205 | 2 | 51.525664 |
5 | Female | 70 | 70 | training | 1.8754615 | 1 | 72.492810 |
5 | Female | 70 | 70 | validation | 0.4826773 | 1 | 18.657080 |
5 | Female | 71 | 71 | testing | 1.4773028 | 1 | 57.102656 |
5 | Female | 71 | 71 | training | 1.8759394 | 1 | 72.511284 |
5 | Female | 71 | 71 | validation | 0.5374472 | 4 | 20.774116 |
5 | Female | 72 | 72 | testing | 1.2855283 | 1 | 49.689934 |
5 | Female | 72 | 72 | training | 1.6816150 | 1 | 65.000000 |
5 | Female | 72 | 72 | validation | 0.5691620 | 0 | 22.000000 |
5 | Female | 73 | 73 | testing | 0.6467750 | 0 | 25.000000 |
5 | Female | 73 | 73 | training | 1.9128600 | 2 | 73.938386 |
5 | Female | 73 | 73 | validation | 0.3621940 | 0 | 14.000000 |
5 | Female | 74 | 74 | testing | 0.4334852 | 0 | 16.755642 |
5 | Female | 74 | 74 | training | 1.9947228 | 3 | 77.102656 |
5 | Female | 74 | 74 | validation | 0.5691620 | 0 | 22.000000 |
5 | Female | 75 | 75 | testing | 0.5950330 | 1 | 23.000000 |
5 | Female | 75 | 75 | training | 1.6298730 | 0 | 63.000000 |
5 | Female | 75 | 75 | validation | 0.4915490 | 0 | 19.000000 |
5 | Female | 76 | 76 | testing | 0.4139360 | 0 | 16.000000 |
5 | Female | 76 | 76 | training | 1.4543537 | 1 | 56.215598 |
5 | Female | 76 | 76 | validation | 0.5950330 | 0 | 23.000000 |
5 | Female | 77 | 77 | testing | 0.4249856 | 1 | 16.427102 |
5 | Female | 77 | 77 | training | 1.7159857 | 1 | 66.328540 |
5 | Female | 77 | 77 | validation | 0.3198016 | 1 | 12.361394 |
5 | Female | 78 | 78 | testing | 0.3880650 | 0 | 15.000000 |
5 | Female | 78 | 78 | training | 1.4229050 | 0 | 55.000000 |
5 | Female | 78 | 78 | validation | 0.4483067 | 0 | 17.328540 |
5 | Female | 79 | 79 | testing | 0.3880650 | 0 | 15.000000 |
5 | Female | 79 | 79 | training | 1.6565940 | 0 | 64.032854 |
5 | Female | 79 | 79 | validation | 0.4398070 | 0 | 17.000000 |
5 | Female | 80 | 80 | testing | 0.5432910 | 0 | 21.000000 |
5 | Female | 80 | 80 | training | 1.3636192 | 1 | 52.708408 |
5 | Female | 80 | 80 | validation | 0.4619061 | 1 | 17.854204 |
5 | Female | 81 | 81 | testing | 0.3880650 | 0 | 15.000000 |
5 | Female | 81 | 81 | training | 1.6040020 | 0 | 62.000000 |
5 | Female | 81 | 81 | validation | 0.5432910 | 0 | 21.000000 |
5 | Female | 82 | 82 | testing | 1.3194210 | 0 | 51.000000 |
5 | Female | 82 | 82 | training | 0.9767762 | 1 | 37.755642 |
5 | Female | 82 | 82 | validation | 0.3283013 | 1 | 12.689934 |
5 | Female | 83 | 83 | testing | 0.9258842 | 0 | 35.788496 |
5 | Female | 83 | 83 | training | 0.9572270 | 0 | 37.000000 |
5 | Female | 83 | 83 | validation | 0.3880650 | 1 | 15.000000 |
5 | Female | 84 | 84 | testing | 0.7243880 | 0 | 28.000000 |
5 | Female | 84 | 84 | training | 0.9873478 | 1 | 38.164270 |
5 | Female | 84 | 84 | validation | 0.1810970 | 0 | 7.000000 |
5 | Female | 85 | 85 | testing | 0.4699278 | 1 | 18.164270 |
5 | Female | 85 | 85 | training | 1.0865820 | 0 | 42.000000 |
5 | Female | 85 | 85 | validation | 0.2845810 | 0 | 11.000000 |
5 | Female | 86 | 86 | testing | 0.5432910 | 0 | 21.000000 |
5 | Female | 86 | 86 | training | 0.9509052 | 0 | 36.755642 |
5 | Female | 86 | 86 | validation | 0.1870468 | 1 | 7.229978 |
5 | Female | 87 | 87 | testing | 0.4915490 | 0 | 19.000000 |
5 | Female | 87 | 87 | training | 0.9708265 | 2 | 37.525664 |
5 | Female | 87 | 87 | validation | 0.2990304 | 0 | 11.558518 |
5 | Female | 88 | 88 | testing | 0.6467750 | 0 | 25.000000 |
5 | Female | 88 | 88 | training | 0.8715923 | 1 | 33.689934 |
5 | Female | 88 | 88 | validation | 0.1370047 | 0 | 5.295686 |
5 | Female | 89 | 89 | testing | 0.4449068 | 1 | 17.197124 |
5 | Female | 89 | 89 | training | 0.8681924 | 1 | 33.558518 |
5 | Female | 89 | 89 | validation | 0.1552260 | 0 | 6.000000 |
5 | Female | 90 | 90 | testing | 0.4915490 | 0 | 19.000000 |
5 | Female | 90 | 90 | training | 0.9054850 | 0 | 35.000000 |
5 | Female | 90 | 90 | validation | 0.2222674 | 1 | 8.591372 |
5 | Female | 91 | 91 | testing | 0.5950330 | 0 | 23.000000 |
5 | Female | 91 | 91 | training | 1.1383240 | 0 | 44.000000 |
5 | Female | 91 | 91 | validation | 0.2328390 | 0 | 9.000000 |
5 | Female | 92 | 92 | testing | 0.4656780 | 0 | 18.000000 |
5 | Female | 92 | 92 | training | 0.8224002 | 1 | 31.788496 |
5 | Female | 92 | 92 | validation | 0.1810970 | 0 | 7.000000 |
5 | Female | 93 | 93 | testing | 0.4809774 | 1 | 18.591372 |
5 | Female | 93 | 93 | training | 0.9313560 | 0 | 36.000000 |
5 | Female | 93 | 93 | validation | 0.1739252 | 1 | 6.722788 |
5 | Female | 94 | 94 | testing | 0.8983132 | 2 | 34.722788 |
5 | Female | 94 | 94 | training | 0.6069325 | 1 | 23.459956 |
5 | Female | 94 | 94 | validation | 0.0818628 | 1 | 3.164270 |
5 | Female | 95 | 95 | testing | 0.5446189 | 1 | 21.051328 |
5 | Female | 95 | 95 | training | 0.6205320 | 2 | 23.985620 |
5 | Female | 95 | 95 | validation | 0.1552260 | 0 | 6.000000 |
5 | Female | 96 | 96 | testing | 0.5967329 | 0 | 23.065708 |
5 | Female | 96 | 96 | training | 0.5432910 | 0 | 21.000000 |
5 | Female | 96 | 96 | validation | 0.1293550 | 0 | 5.000000 |
5 | Female | 97 | 97 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 97 | 97 | training | 0.5432910 | 0 | 21.000000 |
5 | Female | 97 | 97 | validation | 0.1034840 | 0 | 4.000000 |
5 | Female | 98 | 98 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 98 | 98 | training | 0.4656780 | 0 | 18.000000 |
5 | Female | 98 | 98 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 99 | 99 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 99 | 99 | training | 0.4707778 | 1 | 18.197124 |
5 | Female | 99 | 99 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 100 | 100 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 100 | 100 | training | 0.6760459 | 2 | 26.131416 |
5 | Female | 100 | 100 | validation | 0.1034840 | 0 | 4.000000 |
5 | Female | 101 | 101 | testing | 0.1552260 | 0 | 6.000000 |
5 | Female | 101 | 101 | training | 0.5691620 | 0 | 22.000000 |
5 | Female | 101 | 101 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 102 | 102 | testing | 0.1293550 | 0 | 5.000000 |
5 | Female | 102 | 102 | training | 0.6467750 | 0 | 25.000000 |
5 | Female | 102 | 102 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 103 | 103 | testing | 0.2069680 | 0 | 8.000000 |
5 | Female | 103 | 103 | training | 0.5437689 | 1 | 21.018474 |
5 | Female | 103 | 103 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 104 | 104 | testing | 0.1989463 | 1 | 7.689934 |
5 | Female | 104 | 104 | training | 0.3982646 | 1 | 15.394248 |
5 | Female | 104 | 104 | validation | 0.1552260 | 0 | 6.000000 |
5 | Female | 105 | 105 | testing | 0.1293550 | 0 | 5.000000 |
5 | Female | 105 | 105 | training | 0.3880650 | 0 | 15.000000 |
5 | Female | 105 | 105 | validation | 0.0568418 | 1 | 2.197124 |
5 | Female | 106 | 106 | testing | 0.2069680 | 0 | 8.000000 |
5 | Female | 106 | 106 | training | 0.3791933 | 1 | 14.657080 |
5 | Female | 106 | 106 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 107 | 107 | testing | 0.3104520 | 0 | 12.000000 |
5 | Female | 107 | 107 | training | 0.3948647 | 1 | 15.262832 |
5 | Female | 107 | 107 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 108 | 108 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 108 | 108 | training | 0.3499225 | 1 | 13.525664 |
5 | Female | 108 | 108 | validation | 0.0997121 | 0 | 3.854204 |
5 | Female | 109 | 109 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 109 | 109 | training | 0.3363230 | 0 | 13.000000 |
5 | Female | 109 | 109 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 110 | 110 | testing | 0.1136836 | 1 | 4.394248 |
5 | Female | 110 | 110 | training | 0.3880650 | 0 | 15.000000 |
5 | Female | 110 | 110 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 111 | 111 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 111 | 111 | training | 0.2328390 | 0 | 9.000000 |
5 | Female | 111 | 111 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 112 | 112 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 112 | 112 | training | 0.3363230 | 0 | 13.000000 |
5 | Female | 112 | 112 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 113 | 113 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 113 | 113 | training | 0.3363230 | 0 | 13.000000 |
5 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 114 | 114 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 114 | 114 | training | 0.3880650 | 1 | 15.000000 |
5 | Female | 114 | 114 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 115 | 115 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 115 | 115 | training | 0.4398070 | 0 | 17.000000 |
5 | Female | 115 | 115 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 116 | 116 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 116 | 116 | training | 0.2472884 | 1 | 9.558518 |
5 | Female | 116 | 116 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 117 | 117 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 117 | 117 | training | 0.3363230 | 0 | 13.000000 |
5 | Female | 118 | 118 | testing | 0.0869626 | 1 | 3.361394 |
5 | Female | 118 | 118 | training | 0.1810970 | 0 | 7.000000 |
5 | Female | 118 | 118 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 119 | 119 | testing | 0.1145336 | 1 | 4.427102 |
5 | Female | 119 | 119 | training | 0.1810970 | 0 | 7.000000 |
5 | Female | 119 | 119 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 120 | 120 | testing | 0.1293550 | 0 | 5.000000 |
5 | Female | 120 | 120 | training | 0.1810970 | 0 | 7.000000 |
5 | Female | 120 | 120 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 121 | 121 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 121 | 121 | training | 0.1552260 | 0 | 6.000000 |
5 | Female | 121 | 121 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 122 | 122 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 122 | 122 | training | 0.2069680 | 0 | 8.000000 |
5 | Female | 122 | 122 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 123 | 123 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 123 | 123 | training | 0.2069680 | 0 | 8.000000 |
5 | Female | 123 | 123 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 124 | 124 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 124 | 124 | training | 0.1810970 | 0 | 7.000000 |
5 | Female | 124 | 124 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 125 | 125 | testing | 0.1034840 | 0 | 4.000000 |
5 | Female | 125 | 125 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 126 | 126 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 126 | 126 | training | 0.1293550 | 0 | 5.000000 |
5 | Female | 126 | 126 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 127 | 127 | testing | 0.1034840 | 0 | 4.000000 |
5 | Female | 127 | 127 | training | 0.1293550 | 0 | 5.000000 |
5 | Female | 127 | 127 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 128 | 128 | testing | 0.1552260 | 0 | 6.000000 |
5 | Female | 128 | 128 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 129 | 129 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 129 | 129 | training | 0.1293550 | 0 | 5.000000 |
5 | Female | 129 | 129 | validation | 0.0776130 | 0 | 3.000000 |
5 | Female | 130 | 130 | testing | 0.2328390 | 0 | 9.000000 |
5 | Female | 130 | 130 | training | 0.1034840 | 1 | 4.000000 |
5 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 131 | 131 | testing | 0.1034840 | 0 | 4.000000 |
5 | Female | 131 | 131 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 132 | 132 | testing | 0.1552260 | 0 | 6.000000 |
5 | Female | 132 | 132 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 132 | 132 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 133 | 133 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 133 | 133 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 134 | 134 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 134 | 134 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 135 | 135 | testing | 0.0776130 | 1 | 3.000000 |
5 | Female | 135 | 135 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 135 | 135 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 136 | 136 | testing | 0.1034840 | 0 | 4.000000 |
5 | Female | 136 | 136 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 136 | 136 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 137 | 137 | testing | 0.1552260 | 0 | 6.000000 |
5 | Female | 137 | 137 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 138 | 138 | testing | 0.0525920 | 1 | 2.032854 |
5 | Female | 138 | 138 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 138 | 138 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 139 | 139 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 139 | 139 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 139 | 139 | validation | 0.0517420 | 0 | 2.000000 |
5 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 140 | 140 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 140 | 140 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 141 | 141 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 141 | 141 | training | 0.1034840 | 0 | 4.000000 |
5 | Female | 142 | 142 | testing | 0.0776130 | 0 | 3.000000 |
5 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 143 | 143 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 143 | 143 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 143 | 143 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 144 | 144 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 144 | 144 | training | 0.0776130 | 0 | 3.000000 |
5 | Female | 144 | 144 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 145 | 145 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 145 | 145 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 146 | 146 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 146 | 146 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
5 | Female | 147 | 147 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 148 | 148 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 148 | 148 | training | 0.0517420 | 0 | 2.000000 |
5 | Female | 149 | 149 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 149 | 149 | training | 0.0267210 | 0 | 1.032854 |
5 | Female | 150 | 150 | testing | 0.0517420 | 0 | 2.000000 |
5 | Female | 150 | 150 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 151 | 151 | testing | 0.0776130 | 1 | 3.000000 |
5 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 152 | 152 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 153 | 153 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 156 | 156 | testing | 0.0258710 | 0 | 1.000000 |
5 | Female | 158 | 158 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 159 | 159 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 161 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 164 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 166 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 169 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 171 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 172 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 174 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 175 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 176 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 185 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 187 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 189 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 192 | training | 0.0258710 | 0 | 1.000000 |
5 | Female | 160 | 195 | training | 0.0076497 | 1 | 0.295686 |
5 | Male | 1 | 1 | testing | 4.3733936 | 2 | 20.353104 |
5 | Male | 1 | 1 | training | 14.5669348 | 11 | 67.792284 |
5 | Male | 1 | 1 | validation | 5.7279448 | 1 | 26.656978 |
5 | Male | 2 | 2 | testing | 4.4683064 | 4 | 37.168364 |
5 | Male | 2 | 2 | training | 18.8902645 | 13 | 157.133412 |
5 | Male | 2 | 2 | validation | 6.5406442 | 10 | 54.406530 |
5 | Male | 3 | 3 | testing | 5.4745043 | 2 | 56.238166 |
5 | Male | 3 | 3 | training | 24.7264171 | 17 | 254.008086 |
5 | Male | 3 | 3 | validation | 9.2113896 | 11 | 94.626222 |
5 | Male | 4 | 4 | testing | 11.7431316 | 7 | 155.233868 |
5 | Male | 4 | 4 | training | 45.2102468 | 38 | 597.639684 |
5 | Male | 4 | 4 | validation | 14.4978322 | 14 | 191.648586 |
5 | Male | 5 | 5 | testing | 9.9809525 | 4 | 161.383962 |
5 | Male | 5 | 5 | training | 37.9253085 | 29 | 613.221688 |
5 | Male | 5 | 5 | validation | 10.9307401 | 6 | 176.741262 |
5 | Male | 6 | 6 | testing | 7.5259139 | 9 | 139.201218 |
5 | Male | 6 | 6 | training | 33.0332668 | 23 | 610.991710 |
5 | Male | 6 | 6 | validation | 8.8544476 | 4 | 163.774116 |
5 | Male | 7 | 7 | testing | 7.4565727 | 4 | 151.135510 |
5 | Male | 7 | 7 | training | 27.5940697 | 20 | 559.297682 |
5 | Male | 7 | 7 | validation | 9.6801815 | 11 | 196.205312 |
5 | Male | 8 | 8 | testing | 6.6600582 | 5 | 144.153984 |
5 | Male | 8 | 8 | training | 26.7372855 | 17 | 578.716596 |
5 | Male | 8 | 8 | validation | 8.7299959 | 5 | 188.956860 |
5 | Male | 9 | 9 | testing | 5.1563221 | 8 | 116.843918 |
5 | Male | 9 | 9 | training | 23.5408607 | 18 | 533.443478 |
5 | Male | 9 | 9 | validation | 7.2217330 | 7 | 163.646794 |
5 | Male | 10 | 10 | testing | 10.7868942 | 12 | 252.679648 |
5 | Male | 10 | 10 | training | 19.7551236 | 20 | 462.757638 |
5 | Male | 10 | 10 | validation | 5.3636869 | 5 | 125.642700 |
5 | Male | 11 | 11 | testing | 9.3198637 | 6 | 224.369582 |
5 | Male | 11 | 11 | training | 17.1738724 | 10 | 413.449670 |
5 | Male | 11 | 11 | validation | 4.6101207 | 3 | 110.985620 |
5 | Male | 12 | 12 | testing | 10.6906053 | 11 | 264.030756 |
5 | Male | 12 | 12 | training | 17.4048775 | 14 | 429.856200 |
5 | Male | 12 | 12 | validation | 4.8078337 | 5 | 118.741262 |
5 | Male | 13 | 13 | testing | 4.2000417 | 6 | 106.478430 |
5 | Male | 13 | 13 | training | 16.5312600 | 16 | 419.096464 |
5 | Male | 13 | 13 | validation | 5.3531796 | 8 | 135.712502 |
5 | Male | 14 | 14 | testing | 4.5617158 | 4 | 118.788496 |
5 | Male | 14 | 14 | training | 15.5591949 | 22 | 405.166266 |
5 | Male | 14 | 14 | validation | 4.8004072 | 4 | 125.004094 |
5 | Male | 15 | 15 | testing | 4.1569844 | 2 | 111.051328 |
5 | Male | 15 | 15 | training | 15.3675137 | 10 | 410.533852 |
5 | Male | 15 | 15 | validation | 4.8694412 | 2 | 130.084182 |
5 | Male | 16 | 16 | testing | 3.3407883 | 3 | 91.248452 |
5 | Male | 16 | 16 | training | 13.5771876 | 7 | 370.839824 |
5 | Male | 16 | 16 | validation | 3.6127094 | 4 | 98.675554 |
5 | Male | 17 | 17 | testing | 3.6899039 | 2 | 102.591372 |
5 | Male | 17 | 17 | training | 13.5934572 | 8 | 377.942480 |
5 | Male | 17 | 17 | validation | 3.9546711 | 3 | 109.952766 |
5 | Male | 18 | 18 | testing | 3.4295595 | 2 | 96.642700 |
5 | Male | 18 | 18 | training | 12.8618864 | 16 | 362.439384 |
5 | Male | 18 | 18 | validation | 3.6681311 | 5 | 103.365488 |
5 | Male | 19 | 19 | testing | 3.4223181 | 2 | 97.379868 |
5 | Male | 19 | 19 | training | 12.3691719 | 8 | 351.956860 |
5 | Male | 19 | 19 | validation | 3.8452007 | 5 | 109.412722 |
5 | Male | 20 | 20 | testing | 3.0385981 | 0 | 87.018474 |
5 | Male | 20 | 20 | training | 11.8396192 | 11 | 339.059516 |
5 | Male | 20 | 20 | validation | 3.7307398 | 3 | 106.839824 |
5 | Male | 21 | 21 | testing | 3.3636326 | 3 | 96.675554 |
5 | Male | 21 | 21 | training | 11.5414155 | 9 | 331.716596 |
5 | Male | 21 | 21 | validation | 3.2256036 | 3 | 92.708408 |
5 | Male | 22 | 22 | testing | 5.6086115 | 2 | 161.394248 |
5 | Male | 22 | 22 | training | 9.3072020 | 6 | 267.825444 |
5 | Male | 22 | 22 | validation | 2.3801936 | 2 | 68.492810 |
5 | Male | 23 | 23 | testing | 5.3560187 | 4 | 154.036948 |
5 | Male | 23 | 23 | training | 8.6040725 | 9 | 247.449670 |
5 | Male | 23 | 23 | validation | 2.4813070 | 1 | 71.361394 |
5 | Male | 24 | 24 | testing | 5.2660926 | 8 | 151.172458 |
5 | Male | 24 | 24 | training | 9.2479411 | 2 | 265.478430 |
5 | Male | 24 | 24 | validation | 2.5715667 | 1 | 73.821350 |
5 | Male | 25 | 25 | testing | 2.5458070 | 5 | 72.872678 |
5 | Male | 25 | 25 | training | 8.7214107 | 6 | 249.646794 |
5 | Male | 25 | 25 | validation | 2.7016156 | 4 | 77.332634 |
5 | Male | 26 | 26 | testing | 2.4085438 | 1 | 68.689934 |
5 | Male | 26 | 26 | training | 8.4757678 | 2 | 241.722788 |
5 | Male | 26 | 26 | validation | 2.4809758 | 2 | 70.755642 |
5 | Male | 27 | 27 | testing | 2.2921347 | 2 | 65.084182 |
5 | Male | 27 | 27 | training | 8.7849743 | 4 | 249.445576 |
5 | Male | 27 | 27 | validation | 2.4202791 | 2 | 68.722788 |
5 | Male | 28 | 28 | testing | 2.1728652 | 1 | 61.394248 |
5 | Male | 28 | 28 | training | 8.3626129 | 5 | 236.285400 |
5 | Male | 28 | 28 | validation | 2.3968449 | 3 | 67.722788 |
5 | Male | 29 | 29 | testing | 2.4682582 | 1 | 69.379868 |
5 | Male | 29 | 29 | training | 8.2352223 | 6 | 231.482524 |
5 | Male | 29 | 29 | validation | 2.7732476 | 2 | 77.952766 |
5 | Male | 30 | 30 | testing | 2.1457200 | 0 | 60.000000 |
5 | Male | 30 | 30 | training | 7.7566078 | 8 | 216.895246 |
5 | Male | 30 | 30 | validation | 2.3960540 | 0 | 67.000000 |
5 | Male | 31 | 31 | testing | 1.8487015 | 1 | 51.427102 |
5 | Male | 31 | 31 | training | 7.3387802 | 1 | 204.149890 |
5 | Male | 31 | 31 | validation | 2.0797429 | 2 | 57.854204 |
5 | Male | 32 | 32 | testing | 2.0854990 | 4 | 57.712502 |
5 | Male | 32 | 32 | training | 7.8594681 | 6 | 217.496904 |
5 | Male | 32 | 32 | validation | 2.6740640 | 0 | 74.000000 |
5 | Male | 33 | 33 | testing | 1.9598342 | 2 | 53.952766 |
5 | Male | 33 | 33 | training | 7.2972224 | 2 | 200.887058 |
5 | Male | 33 | 33 | validation | 2.3195040 | 2 | 63.854204 |
5 | Male | 34 | 34 | testing | 4.0722481 | 2 | 111.525664 |
5 | Male | 34 | 34 | training | 6.5911890 | 3 | 180.511284 |
5 | Male | 34 | 34 | validation | 1.7545462 | 0 | 48.051328 |
5 | Male | 35 | 35 | testing | 3.6249761 | 5 | 98.759736 |
5 | Male | 35 | 35 | training | 5.9242764 | 7 | 161.402436 |
5 | Male | 35 | 35 | validation | 1.5488454 | 1 | 42.197124 |
5 | Male | 36 | 36 | testing | 3.7429360 | 5 | 101.445576 |
5 | Male | 36 | 36 | training | 6.1111735 | 6 | 165.632414 |
5 | Male | 36 | 36 | validation | 1.8569218 | 0 | 50.328540 |
5 | Male | 37 | 37 | testing | 1.8715093 | 0 | 50.459956 |
5 | Male | 37 | 37 | training | 5.3214715 | 3 | 143.478430 |
5 | Male | 37 | 37 | validation | 1.4835600 | 0 | 40.000000 |
5 | Male | 38 | 38 | testing | 1.6031690 | 0 | 43.000000 |
5 | Male | 38 | 38 | training | 6.0559223 | 5 | 162.431196 |
5 | Male | 38 | 38 | validation | 1.5310528 | 0 | 41.065708 |
5 | Male | 39 | 39 | testing | 1.8363730 | 1 | 49.000000 |
5 | Male | 39 | 39 | training | 5.6581026 | 7 | 150.975334 |
5 | Male | 39 | 39 | validation | 1.6048157 | 1 | 42.821350 |
5 | Male | 40 | 40 | testing | 1.6459309 | 2 | 43.689934 |
5 | Male | 40 | 40 | training | 5.2749160 | 3 | 140.018474 |
5 | Male | 40 | 40 | validation | 1.6954392 | 1 | 45.004094 |
5 | Male | 41 | 41 | testing | 1.4676374 | 1 | 38.755642 |
5 | Male | 41 | 41 | training | 5.2751434 | 4 | 139.299780 |
5 | Male | 41 | 41 | validation | 1.6283670 | 1 | 43.000000 |
5 | Male | 42 | 42 | testing | 1.3891718 | 1 | 36.492810 |
5 | Male | 42 | 42 | training | 5.3259397 | 6 | 139.909626 |
5 | Male | 42 | 42 | validation | 1.5607470 | 0 | 41.000000 |
5 | Male | 43 | 43 | testing | 1.5306400 | 1 | 40.000000 |
5 | Male | 43 | 43 | training | 4.8010073 | 6 | 125.464050 |
5 | Male | 43 | 43 | validation | 1.3118085 | 1 | 34.281306 |
5 | Male | 44 | 44 | testing | 1.5001740 | 0 | 39.000000 |
5 | Male | 44 | 44 | training | 4.6798187 | 4 | 121.661174 |
5 | Male | 44 | 44 | validation | 1.3804316 | 1 | 35.887058 |
5 | Male | 45 | 45 | testing | 1.5740313 | 4 | 40.708408 |
5 | Male | 45 | 45 | training | 4.2875590 | 4 | 110.887058 |
5 | Male | 45 | 45 | validation | 1.3324287 | 1 | 34.459956 |
5 | Male | 46 | 46 | testing | 2.3481217 | 0 | 60.412722 |
5 | Male | 46 | 46 | training | 3.7168815 | 4 | 95.628320 |
5 | Male | 46 | 46 | validation | 0.9328320 | 0 | 24.000000 |
5 | Male | 47 | 47 | testing | 2.1905433 | 1 | 56.065708 |
5 | Male | 47 | 47 | training | 3.3294586 | 0 | 85.215598 |
5 | Male | 47 | 47 | validation | 1.1196608 | 0 | 28.657080 |
5 | Male | 48 | 48 | testing | 2.4931153 | 2 | 63.478430 |
5 | Male | 48 | 48 | training | 3.5535403 | 4 | 90.478430 |
5 | Male | 48 | 48 | validation | 0.9818750 | 0 | 25.000000 |
5 | Male | 49 | 49 | testing | 1.0077532 | 0 | 25.525664 |
5 | Male | 49 | 49 | training | 2.8401275 | 3 | 71.938386 |
5 | Male | 49 | 49 | validation | 1.0394508 | 1 | 26.328540 |
5 | Male | 50 | 50 | testing | 0.9649318 | 2 | 24.314160 |
5 | Male | 50 | 50 | training | 3.3943340 | 5 | 85.529758 |
5 | Male | 50 | 50 | validation | 0.9524640 | 0 | 24.000000 |
5 | Male | 51 | 51 | testing | 1.0771110 | 0 | 27.000000 |
5 | Male | 51 | 51 | training | 2.9024408 | 1 | 72.755642 |
5 | Male | 51 | 51 | validation | 1.0222272 | 0 | 25.624226 |
5 | Male | 52 | 52 | testing | 1.0499804 | 2 | 26.182744 |
5 | Male | 52 | 52 | training | 3.4086700 | 0 | 85.000000 |
5 | Male | 52 | 52 | validation | 0.9468020 | 1 | 23.609846 |
5 | Male | 53 | 53 | testing | 0.9364236 | 2 | 23.229978 |
5 | Male | 53 | 53 | training | 2.9203536 | 4 | 72.445576 |
5 | Male | 53 | 53 | validation | 0.5584768 | 0 | 13.854204 |
5 | Male | 54 | 54 | testing | 0.6483360 | 0 | 16.000000 |
5 | Male | 54 | 54 | training | 3.2277845 | 1 | 79.657080 |
5 | Male | 54 | 54 | validation | 1.0130250 | 0 | 25.000000 |
5 | Male | 55 | 55 | testing | 1.2627230 | 0 | 31.000000 |
5 | Male | 55 | 55 | training | 2.7312017 | 3 | 67.051328 |
5 | Male | 55 | 55 | validation | 0.8307189 | 1 | 20.394248 |
5 | Male | 56 | 56 | testing | 0.7031669 | 0 | 17.262832 |
5 | Male | 56 | 56 | training | 2.7017604 | 1 | 66.328540 |
5 | Male | 56 | 56 | validation | 0.9215526 | 2 | 22.624226 |
5 | Male | 57 | 57 | testing | 0.7331940 | 0 | 18.000000 |
5 | Male | 57 | 57 | training | 2.7485989 | 3 | 67.478430 |
5 | Male | 57 | 57 | validation | 0.8961260 | 0 | 22.000000 |
5 | Male | 58 | 58 | testing | 1.3441890 | 1 | 33.000000 |
5 | Male | 58 | 58 | training | 2.4873895 | 1 | 61.065708 |
5 | Male | 58 | 58 | validation | 0.6109950 | 0 | 15.000000 |
5 | Male | 59 | 59 | testing | 1.3441890 | 0 | 33.000000 |
5 | Male | 59 | 59 | training | 2.1863663 | 1 | 53.675554 |
5 | Male | 59 | 59 | validation | 0.6517280 | 0 | 16.000000 |
5 | Male | 60 | 60 | testing | 1.1812570 | 0 | 29.000000 |
5 | Male | 60 | 60 | training | 1.8804092 | 0 | 46.164270 |
5 | Male | 60 | 60 | validation | 0.4981637 | 1 | 12.229978 |
5 | Male | 61 | 61 | testing | 0.4887960 | 0 | 12.000000 |
5 | Male | 61 | 61 | training | 1.8918676 | 2 | 46.445576 |
5 | Male | 61 | 61 | validation | 0.6109950 | 0 | 15.000000 |
5 | Male | 62 | 62 | testing | 0.6109950 | 0 | 15.000000 |
5 | Male | 62 | 62 | training | 1.9025736 | 2 | 46.708408 |
5 | Male | 62 | 62 | validation | 0.5295290 | 0 | 13.000000 |
5 | Male | 63 | 63 | testing | 0.5702620 | 0 | 14.000000 |
5 | Male | 63 | 63 | training | 1.8297228 | 3 | 44.919912 |
5 | Male | 63 | 63 | validation | 0.7331940 | 0 | 18.000000 |
5 | Male | 64 | 64 | testing | 0.6517280 | 0 | 16.000000 |
5 | Male | 64 | 64 | training | 1.5172412 | 1 | 37.248452 |
5 | Male | 64 | 64 | validation | 0.6517280 | 0 | 16.000000 |
5 | Male | 65 | 65 | testing | 0.3665970 | 0 | 9.000000 |
5 | Male | 65 | 65 | training | 1.6180283 | 1 | 39.722788 |
5 | Male | 65 | 65 | validation | 0.3732882 | 1 | 9.164270 |
5 | Male | 66 | 66 | testing | 0.6924610 | 0 | 17.000000 |
5 | Male | 66 | 66 | training | 1.4183780 | 1 | 34.821350 |
5 | Male | 66 | 66 | validation | 0.4480630 | 0 | 11.000000 |
5 | Male | 67 | 67 | testing | 0.4887960 | 0 | 12.000000 |
5 | Male | 67 | 67 | training | 1.6700530 | 0 | 41.000000 |
5 | Male | 67 | 67 | validation | 0.5222520 | 1 | 12.821350 |
5 | Male | 68 | 68 | testing | 0.4073300 | 0 | 10.000000 |
5 | Male | 68 | 68 | training | 1.3441890 | 0 | 33.000000 |
5 | Male | 68 | 68 | validation | 0.2564422 | 2 | 6.295686 |
5 | Male | 69 | 69 | testing | 0.3258640 | 0 | 8.000000 |
5 | Male | 69 | 69 | training | 1.4464811 | 3 | 35.511284 |
5 | Male | 69 | 69 | validation | 0.3665970 | 0 | 9.000000 |
5 | Male | 70 | 70 | testing | 0.8146600 | 0 | 20.000000 |
5 | Male | 70 | 70 | training | 0.7739270 | 0 | 19.000000 |
5 | Male | 70 | 70 | validation | 0.2443980 | 0 | 6.000000 |
5 | Male | 71 | 71 | testing | 0.9502414 | 1 | 23.328540 |
5 | Male | 71 | 71 | training | 1.0183250 | 0 | 25.000000 |
5 | Male | 71 | 71 | validation | 0.3258640 | 0 | 8.000000 |
5 | Male | 72 | 72 | testing | 0.9368590 | 0 | 23.000000 |
5 | Male | 72 | 72 | training | 0.7993536 | 0 | 19.624226 |
5 | Male | 72 | 72 | validation | 0.3665970 | 0 | 9.000000 |
5 | Male | 73 | 73 | testing | 0.4421243 | 2 | 10.854204 |
5 | Male | 73 | 73 | training | 1.0617345 | 0 | 26.065708 |
5 | Male | 73 | 73 | validation | 0.4887960 | 0 | 12.000000 |
5 | Male | 74 | 74 | testing | 0.2036650 | 0 | 5.000000 |
5 | Male | 74 | 74 | training | 0.9049080 | 2 | 22.215598 |
5 | Male | 74 | 74 | validation | 0.2851310 | 0 | 7.000000 |
5 | Male | 75 | 75 | testing | 0.4887960 | 0 | 12.000000 |
5 | Male | 75 | 75 | training | 0.8213512 | 1 | 20.164270 |
5 | Male | 75 | 75 | validation | 0.2443980 | 0 | 6.000000 |
5 | Male | 76 | 76 | testing | 0.2958369 | 1 | 7.262832 |
5 | Male | 76 | 76 | training | 0.8387484 | 1 | 20.591372 |
5 | Male | 76 | 76 | validation | 0.3258640 | 0 | 8.000000 |
5 | Male | 77 | 77 | testing | 0.3665970 | 0 | 9.000000 |
5 | Male | 77 | 77 | training | 0.4480630 | 0 | 11.000000 |
5 | Male | 77 | 77 | validation | 0.2851310 | 0 | 7.000000 |
5 | Male | 78 | 78 | testing | 0.4887960 | 0 | 12.000000 |
5 | Male | 78 | 78 | training | 1.0183250 | 0 | 25.000000 |
5 | Male | 78 | 78 | validation | 0.3258640 | 0 | 8.000000 |
5 | Male | 79 | 79 | testing | 0.4480630 | 0 | 11.000000 |
5 | Male | 79 | 79 | training | 0.5702620 | 0 | 14.000000 |
5 | Male | 79 | 79 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 80 | 80 | testing | 0.4761661 | 0 | 11.689934 |
5 | Male | 80 | 80 | training | 0.6109950 | 0 | 15.000000 |
5 | Male | 80 | 80 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 81 | 81 | testing | 0.4480630 | 0 | 11.000000 |
5 | Male | 81 | 81 | training | 0.7331940 | 1 | 18.000000 |
5 | Male | 81 | 81 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 82 | 82 | testing | 0.5295290 | 0 | 13.000000 |
5 | Male | 82 | 82 | training | 0.5702620 | 0 | 14.000000 |
5 | Male | 82 | 82 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 83 | 83 | testing | 0.4887960 | 0 | 12.000000 |
5 | Male | 83 | 83 | training | 0.5295290 | 0 | 13.000000 |
5 | Male | 83 | 83 | validation | 0.2443980 | 0 | 6.000000 |
5 | Male | 84 | 84 | testing | 0.3746265 | 1 | 9.197124 |
5 | Male | 84 | 84 | training | 0.4480630 | 0 | 11.000000 |
5 | Male | 84 | 84 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 85 | 85 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 85 | 85 | training | 0.3665970 | 0 | 9.000000 |
5 | Male | 85 | 85 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 86 | 86 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 86 | 86 | training | 0.5295290 | 0 | 13.000000 |
5 | Male | 86 | 86 | validation | 0.2591187 | 0 | 6.361394 |
5 | Male | 87 | 87 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 87 | 87 | training | 0.6109950 | 0 | 15.000000 |
5 | Male | 87 | 87 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 88 | 88 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 88 | 88 | training | 0.6109950 | 0 | 15.000000 |
5 | Male | 88 | 88 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 89 | 89 | training | 0.2851310 | 1 | 7.000000 |
5 | Male | 89 | 89 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 90 | 90 | testing | 0.2443980 | 0 | 6.000000 |
5 | Male | 90 | 90 | training | 0.3258640 | 0 | 8.000000 |
5 | Male | 90 | 90 | validation | 0.2443980 | 0 | 6.000000 |
5 | Male | 91 | 91 | testing | 0.2036650 | 0 | 5.000000 |
5 | Male | 91 | 91 | training | 0.3665970 | 0 | 9.000000 |
5 | Male | 91 | 91 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 92 | 92 | testing | 0.0715126 | 1 | 1.755642 |
5 | Male | 92 | 92 | training | 0.4887960 | 0 | 12.000000 |
5 | Male | 92 | 92 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 93 | 93 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 93 | 93 | training | 0.4073300 | 0 | 10.000000 |
5 | Male | 93 | 93 | validation | 0.2851310 | 0 | 7.000000 |
5 | Male | 94 | 94 | testing | 0.3258640 | 0 | 8.000000 |
5 | Male | 94 | 94 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 94 | 94 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 95 | 95 | testing | 0.3665970 | 0 | 9.000000 |
5 | Male | 95 | 95 | training | 0.3665970 | 0 | 9.000000 |
5 | Male | 95 | 95 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 96 | 96 | testing | 0.3258640 | 0 | 8.000000 |
5 | Male | 96 | 96 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 96 | 96 | validation | 0.1629320 | 0 | 4.000000 |
5 | Male | 97 | 97 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 97 | 97 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 97 | 97 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 98 | 98 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 98 | 98 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 98 | 98 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 99 | 99 | testing | 0.2036650 | 0 | 5.000000 |
5 | Male | 99 | 99 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 99 | 99 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 100 | 100 | testing | 0.2851310 | 0 | 7.000000 |
5 | Male | 100 | 100 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 100 | 100 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 101 | 101 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 101 | 101 | training | 0.4073300 | 0 | 10.000000 |
5 | Male | 101 | 101 | validation | 0.1235372 | 0 | 3.032854 |
5 | Male | 102 | 102 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 102 | 102 | training | 0.2851310 | 0 | 7.000000 |
5 | Male | 102 | 102 | validation | 0.2036650 | 0 | 5.000000 |
5 | Male | 103 | 103 | testing | 0.2443980 | 1 | 6.000000 |
5 | Male | 103 | 103 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 103 | 103 | validation | 0.1221990 | 0 | 3.000000 |
5 | Male | 104 | 104 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 104 | 104 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 104 | 104 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 105 | 105 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 105 | 105 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 105 | 105 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 106 | 106 | testing | 0.2443980 | 0 | 6.000000 |
5 | Male | 106 | 106 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 107 | 107 | testing | 0.3258640 | 0 | 8.000000 |
5 | Male | 107 | 107 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 107 | 107 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 108 | 108 | testing | 0.2851310 | 0 | 7.000000 |
5 | Male | 108 | 108 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 108 | 108 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 109 | 109 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 109 | 109 | training | 0.0514389 | 1 | 1.262832 |
5 | Male | 110 | 110 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 110 | 110 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 110 | 110 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 111 | 111 | testing | 0.2036650 | 0 | 5.000000 |
5 | Male | 111 | 111 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 111 | 111 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 112 | 112 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 112 | 112 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 112 | 112 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 113 | 113 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 114 | 114 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 114 | 114 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 115 | 115 | testing | 0.1221990 | 0 | 3.000000 |
5 | Male | 115 | 115 | training | 0.2443980 | 0 | 6.000000 |
5 | Male | 115 | 115 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 116 | 116 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 116 | 116 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 116 | 116 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 117 | 117 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 117 | 117 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 117 | 117 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 118 | 118 | testing | 0.1629320 | 0 | 4.000000 |
5 | Male | 118 | 118 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 119 | 119 | testing | 0.2851310 | 0 | 7.000000 |
5 | Male | 119 | 119 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 120 | 120 | testing | 0.2443980 | 0 | 6.000000 |
5 | Male | 120 | 120 | training | 0.1082308 | 1 | 2.657080 |
5 | Male | 120 | 120 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 121 | 121 | training | 0.1629320 | 0 | 4.000000 |
5 | Male | 121 | 121 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 122 | 122 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 122 | 122 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 123 | 123 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 123 | 123 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 124 | 124 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 125 | 125 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 125 | 125 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 125 | 125 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 126 | 126 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 126 | 126 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 126 | 126 | validation | 0.0814660 | 0 | 2.000000 |
5 | Male | 127 | 127 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 127 | 127 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 128 | 128 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 128 | 128 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 128 | 128 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 129 | 129 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 129 | 129 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 129 | 129 | validation | 0.0474242 | 1 | 1.164270 |
5 | Male | 130 | 130 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 131 | 131 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 131 | 131 | validation | 0.0407330 | 0 | 1.000000 |
5 | Male | 132 | 132 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 132 | 132 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 133 | 133 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 133 | 133 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 134 | 134 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 134 | 134 | validation | 0.0267648 | 1 | 0.657080 |
5 | Male | 135 | 135 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 136 | 136 | training | 0.1221990 | 0 | 3.000000 |
5 | Male | 137 | 137 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 138 | 138 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 139 | 139 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 140 | 140 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 141 | 141 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 141 | 141 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 142 | 142 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 143 | 143 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 143 | 143 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 144 | 144 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 144 | 144 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 145 | 145 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 145 | 145 | training | 0.0814660 | 0 | 2.000000 |
5 | Male | 146 | 146 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 146 | 146 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 147 | 147 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 147 | 147 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 148 | 148 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 148 | 148 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 149 | 149 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 150 | 150 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 150 | 150 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 151 | 151 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 152 | 152 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 152 | 152 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 153 | 153 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 154 | 154 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 157 | 157 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 158 | 158 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 158 | 158 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 159 | 159 | training | 0.0407330 | 0 | 1.000000 |
5 | Male | 160 | 160 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 160 | 161 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 160 | 162 | testing | 0.0814660 | 0 | 2.000000 |
5 | Male | 160 | 166 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 160 | 169 | testing | 0.0407330 | 0 | 1.000000 |
5 | Male | 160 | 170 | testing | 0.0407330 | 0 | 1.000000 |
6 | Female | 1 | 1 | testing | 4.8889228 | 3 | 38.320148 |
6 | Female | 1 | 1 | training | 17.9477044 | 13 | 140.676938 |
6 | Female | 1 | 1 | validation | 5.0780647 | 11 | 39.802672 |
6 | Female | 2 | 2 | testing | 8.6466561 | 8 | 78.632414 |
6 | Female | 2 | 2 | training | 38.0627575 | 36 | 346.141498 |
6 | Female | 2 | 2 | validation | 12.1767605 | 10 | 110.735070 |
6 | Female | 3 | 3 | testing | 9.2013474 | 9 | 110.804872 |
6 | Female | 3 | 3 | training | 38.8190052 | 38 | 467.467940 |
6 | Female | 3 | 3 | validation | 14.1408357 | 13 | 170.287396 |
6 | Female | 4 | 4 | testing | 14.0746288 | 11 | 263.816848 |
6 | Female | 4 | 4 | training | 60.4840073 | 51 | 1133.720850 |
6 | Female | 4 | 4 | validation | 18.4929186 | 18 | 346.633900 |
6 | Female | 5 | 5 | testing | 11.5948976 | 8 | 294.698122 |
6 | Female | 5 | 5 | training | 46.5134593 | 36 | 1182.194924 |
6 | Female | 5 | 5 | validation | 14.9813140 | 16 | 380.767924 |
6 | Female | 6 | 6 | testing | 9.7649643 | 12 | 284.800778 |
6 | Female | 6 | 6 | training | 38.2223970 | 27 | 1114.778108 |
6 | Female | 6 | 6 | validation | 12.1953285 | 10 | 355.683742 |
6 | Female | 7 | 7 | testing | 8.3967519 | 5 | 279.938386 |
6 | Female | 7 | 7 | training | 34.4383845 | 24 | 1148.137506 |
6 | Female | 7 | 7 | validation | 10.0017001 | 4 | 333.445576 |
6 | Female | 8 | 8 | testing | 7.3745367 | 8 | 277.613940 |
6 | Female | 8 | 8 | training | 30.2148841 | 31 | 1137.437286 |
6 | Female | 8 | 8 | validation | 9.4582562 | 7 | 356.055422 |
6 | Female | 9 | 9 | testing | 6.6994403 | 6 | 273.201218 |
6 | Female | 9 | 9 | training | 27.9174644 | 25 | 1138.466046 |
6 | Female | 9 | 9 | validation | 9.1850244 | 9 | 374.562612 |
6 | Female | 10 | 10 | testing | 11.3350976 | 11 | 476.745356 |
6 | Female | 10 | 10 | training | 20.8976865 | 24 | 878.940382 |
6 | Female | 10 | 10 | validation | 6.6121687 | 6 | 278.102656 |
6 | Female | 11 | 11 | testing | 11.7342521 | 12 | 500.330536 |
6 | Female | 11 | 11 | training | 19.3051891 | 11 | 823.143698 |
6 | Female | 11 | 11 | validation | 6.5096759 | 6 | 277.562612 |
6 | Female | 12 | 12 | testing | 11.7342310 | 16 | 503.550228 |
6 | Female | 12 | 12 | training | 20.2862412 | 18 | 870.542040 |
6 | Female | 12 | 12 | validation | 6.0416972 | 9 | 259.266926 |
6 | Female | 13 | 13 | testing | 5.3816778 | 3 | 233.478430 |
6 | Female | 13 | 13 | training | 18.9011404 | 23 | 820.006090 |
6 | Female | 13 | 13 | validation | 6.1238215 | 4 | 265.675554 |
6 | Female | 14 | 14 | testing | 5.1767894 | 3 | 231.872678 |
6 | Female | 14 | 14 | training | 19.1823882 | 17 | 859.195026 |
6 | Female | 14 | 14 | validation | 6.0350339 | 3 | 270.314160 |
6 | Female | 15 | 15 | testing | 5.3426113 | 5 | 251.891152 |
6 | Female | 15 | 15 | training | 17.2565335 | 13 | 813.603654 |
6 | Female | 15 | 15 | validation | 5.4114242 | 3 | 255.135510 |
6 | Female | 16 | 16 | testing | 4.6498677 | 5 | 230.774116 |
6 | Female | 16 | 16 | training | 16.1509325 | 15 | 801.574894 |
6 | Female | 16 | 16 | validation | 5.3705978 | 3 | 266.544138 |
6 | Female | 17 | 17 | testing | 4.3669167 | 3 | 224.971240 |
6 | Female | 17 | 17 | training | 14.8463853 | 10 | 764.843918 |
6 | Female | 17 | 17 | validation | 5.1474622 | 2 | 265.182744 |
6 | Female | 18 | 18 | testing | 4.4028313 | 1 | 231.459956 |
6 | Female | 18 | 18 | training | 14.8236448 | 17 | 779.289494 |
6 | Female | 18 | 18 | validation | 4.6189477 | 2 | 242.821350 |
6 | Female | 19 | 19 | testing | 4.3381970 | 2 | 228.952766 |
6 | Female | 19 | 19 | training | 14.1563338 | 16 | 747.114938 |
6 | Female | 19 | 19 | validation | 4.8031818 | 2 | 253.492810 |
6 | Female | 20 | 20 | testing | 4.5736379 | 3 | 239.595466 |
6 | Female | 20 | 20 | training | 14.1947283 | 18 | 743.607748 |
6 | Female | 20 | 20 | validation | 4.6315320 | 8 | 242.628320 |
6 | Female | 21 | 21 | testing | 3.7945864 | 3 | 196.102656 |
6 | Female | 21 | 21 | training | 14.2849085 | 12 | 738.238166 |
6 | Female | 21 | 21 | validation | 4.9171646 | 3 | 254.117036 |
6 | Female | 22 | 22 | testing | 7.9833610 | 12 | 405.782304 |
6 | Female | 22 | 22 | training | 11.5997817 | 8 | 589.599560 |
6 | Female | 22 | 22 | validation | 3.6871579 | 4 | 187.412722 |
6 | Female | 23 | 23 | testing | 7.6017755 | 9 | 379.917814 |
6 | Female | 23 | 23 | training | 11.9781179 | 13 | 598.636508 |
6 | Female | 23 | 23 | validation | 3.5941011 | 1 | 179.624226 |
6 | Female | 24 | 24 | testing | 7.2203281 | 6 | 356.172458 |
6 | Female | 24 | 24 | training | 11.8609925 | 12 | 585.092370 |
6 | Female | 24 | 24 | validation | 3.7184342 | 1 | 183.427102 |
6 | Female | 25 | 25 | testing | 3.4984360 | 2 | 171.854204 |
6 | Female | 25 | 25 | training | 12.1550927 | 14 | 597.096464 |
6 | Female | 25 | 25 | validation | 3.8626462 | 8 | 189.745356 |
6 | Female | 26 | 26 | testing | 3.3632061 | 3 | 166.149890 |
6 | Female | 26 | 26 | training | 11.4198960 | 5 | 564.168364 |
6 | Female | 26 | 26 | validation | 3.8732463 | 4 | 191.347014 |
6 | Female | 27 | 27 | testing | 3.4687747 | 2 | 173.412722 |
6 | Female | 27 | 27 | training | 11.1100845 | 9 | 555.420910 |
6 | Female | 27 | 27 | validation | 3.2650892 | 2 | 163.229978 |
6 | Female | 28 | 28 | testing | 3.2795769 | 4 | 166.004094 |
6 | Female | 28 | 28 | training | 10.6599639 | 5 | 539.581086 |
6 | Female | 28 | 28 | validation | 3.3725153 | 4 | 170.708408 |
6 | Female | 29 | 29 | testing | 3.2438867 | 4 | 165.529758 |
6 | Female | 29 | 29 | training | 9.8892814 | 8 | 504.632414 |
6 | Female | 29 | 29 | validation | 2.9723858 | 4 | 151.675554 |
6 | Female | 30 | 30 | testing | 3.0164842 | 4 | 154.201218 |
6 | Female | 30 | 30 | training | 9.5245647 | 5 | 486.891152 |
6 | Female | 30 | 30 | validation | 3.0183322 | 2 | 154.295686 |
6 | Female | 31 | 31 | testing | 2.6005689 | 2 | 132.445576 |
6 | Female | 31 | 31 | training | 9.6309871 | 8 | 490.500998 |
6 | Female | 31 | 31 | validation | 3.3367402 | 2 | 169.938386 |
6 | Female | 32 | 32 | testing | 2.7365117 | 0 | 138.361394 |
6 | Female | 32 | 32 | training | 10.1379097 | 9 | 512.585180 |
6 | Female | 32 | 32 | validation | 3.0890633 | 4 | 156.186838 |
6 | Female | 33 | 33 | testing | 2.8287796 | 3 | 141.694028 |
6 | Female | 33 | 33 | training | 9.8865659 | 10 | 495.219692 |
6 | Female | 33 | 33 | validation | 3.4090474 | 7 | 170.759736 |
6 | Female | 34 | 34 | testing | 5.3144343 | 5 | 263.416816 |
6 | Female | 34 | 34 | training | 7.9369767 | 9 | 393.406530 |
6 | Female | 34 | 34 | validation | 2.2183797 | 6 | 109.956860 |
6 | Female | 35 | 35 | testing | 5.4930212 | 6 | 269.252546 |
6 | Female | 35 | 35 | training | 7.5435519 | 10 | 369.763830 |
6 | Female | 35 | 35 | validation | 2.4141041 | 3 | 118.332634 |
6 | Female | 36 | 36 | testing | 5.0987014 | 6 | 247.077990 |
6 | Female | 36 | 36 | training | 7.5146816 | 5 | 364.153984 |
6 | Female | 36 | 36 | validation | 2.4431837 | 1 | 118.394248 |
6 | Female | 37 | 37 | testing | 2.8114560 | 6 | 134.661174 |
6 | Female | 37 | 37 | training | 7.0282115 | 8 | 336.632414 |
6 | Female | 37 | 37 | validation | 2.0388845 | 2 | 97.657080 |
6 | Female | 38 | 38 | testing | 2.6379353 | 2 | 124.872678 |
6 | Female | 38 | 38 | training | 7.5846555 | 4 | 359.036948 |
6 | Female | 38 | 38 | validation | 2.1357936 | 1 | 101.102656 |
6 | Female | 39 | 39 | testing | 2.6192311 | 1 | 122.525664 |
6 | Female | 39 | 39 | training | 7.0147278 | 6 | 328.143698 |
6 | Female | 39 | 39 | validation | 2.1871698 | 2 | 102.314160 |
6 | Female | 40 | 40 | testing | 2.6994247 | 0 | 124.788496 |
6 | Female | 40 | 40 | training | 7.1645447 | 5 | 331.201218 |
6 | Female | 40 | 40 | validation | 2.1994456 | 1 | 101.675554 |
6 | Female | 41 | 41 | testing | 2.2770684 | 2 | 104.018474 |
6 | Female | 41 | 41 | training | 7.1197887 | 5 | 325.238166 |
6 | Female | 41 | 41 | validation | 2.2882609 | 4 | 104.529758 |
6 | Female | 42 | 42 | testing | 2.2356788 | 2 | 100.919912 |
6 | Female | 42 | 42 | training | 6.6736477 | 5 | 301.252546 |
6 | Female | 42 | 42 | validation | 2.3206517 | 0 | 104.755642 |
6 | Female | 43 | 43 | testing | 2.5502877 | 0 | 113.755642 |
6 | Female | 43 | 43 | training | 6.5274730 | 11 | 291.158078 |
6 | Female | 43 | 43 | validation | 2.1101016 | 5 | 94.121130 |
6 | Female | 44 | 44 | testing | 2.3075604 | 4 | 101.708408 |
6 | Female | 44 | 44 | training | 6.5120609 | 6 | 287.026662 |
6 | Female | 44 | 44 | validation | 2.0539391 | 4 | 90.529758 |
6 | Female | 45 | 45 | testing | 2.2328245 | 2 | 97.248452 |
6 | Female | 45 | 45 | training | 6.2359259 | 5 | 271.599560 |
6 | Female | 45 | 45 | validation | 1.7638182 | 2 | 76.821350 |
6 | Female | 46 | 46 | testing | 4.0709755 | 4 | 175.201218 |
6 | Female | 46 | 46 | training | 4.6880892 | 6 | 201.759736 |
6 | Female | 46 | 46 | validation | 1.5861552 | 0 | 68.262832 |
6 | Female | 47 | 47 | testing | 3.9275357 | 5 | 167.022568 |
6 | Female | 47 | 47 | training | 4.7998121 | 2 | 204.117036 |
6 | Female | 47 | 47 | validation | 1.5878660 | 2 | 67.525664 |
6 | Female | 48 | 48 | testing | 3.6162694 | 3 | 151.956860 |
6 | Female | 48 | 48 | training | 4.8745333 | 4 | 204.829538 |
6 | Female | 48 | 48 | validation | 1.3802840 | 0 | 58.000000 |
6 | Female | 49 | 49 | testing | 1.4722890 | 1 | 61.131416 |
6 | Female | 49 | 49 | training | 4.6235339 | 8 | 191.975334 |
6 | Female | 49 | 49 | validation | 1.3909869 | 1 | 57.755642 |
6 | Female | 50 | 50 | testing | 1.6018615 | 0 | 65.722788 |
6 | Female | 50 | 50 | training | 4.1382550 | 3 | 169.788496 |
6 | Female | 50 | 50 | validation | 1.4380070 | 0 | 59.000000 |
6 | Female | 51 | 51 | testing | 1.6021249 | 1 | 64.952766 |
6 | Female | 51 | 51 | training | 4.2834255 | 1 | 173.657080 |
6 | Female | 51 | 51 | validation | 1.3639234 | 2 | 55.295686 |
6 | Female | 52 | 52 | testing | 1.6136111 | 0 | 64.642700 |
6 | Female | 52 | 52 | training | 4.4630206 | 4 | 178.792590 |
6 | Female | 52 | 52 | validation | 1.6679945 | 1 | 66.821350 |
6 | Female | 53 | 53 | testing | 1.3798626 | 2 | 54.624226 |
6 | Female | 53 | 53 | training | 4.0857460 | 2 | 161.741262 |
6 | Female | 53 | 53 | validation | 1.5156600 | 0 | 60.000000 |
6 | Female | 54 | 54 | testing | 1.3130027 | 0 | 51.361394 |
6 | Female | 54 | 54 | training | 4.2857226 | 5 | 167.646794 |
6 | Female | 54 | 54 | validation | 1.2815595 | 0 | 50.131416 |
6 | Female | 55 | 55 | testing | 1.8284473 | 1 | 70.675554 |
6 | Female | 55 | 55 | training | 3.8395855 | 3 | 148.412722 |
6 | Female | 55 | 55 | validation | 1.4089335 | 1 | 54.459956 |
6 | Female | 56 | 56 | testing | 1.4174332 | 0 | 54.788496 |
6 | Female | 56 | 56 | training | 3.8586568 | 1 | 149.149890 |
6 | Female | 56 | 56 | validation | 1.4378324 | 3 | 55.576992 |
6 | Female | 57 | 57 | testing | 1.6040020 | 0 | 62.000000 |
6 | Female | 57 | 57 | training | 4.1297443 | 4 | 159.628320 |
6 | Female | 57 | 57 | validation | 1.5294168 | 1 | 59.117036 |
6 | Female | 58 | 58 | testing | 2.4811720 | 6 | 95.905532 |
6 | Female | 58 | 58 | training | 3.5278056 | 1 | 136.361394 |
6 | Female | 58 | 58 | validation | 1.0348400 | 0 | 40.000000 |
6 | Female | 59 | 59 | testing | 2.3798659 | 2 | 91.989714 |
6 | Female | 59 | 59 | training | 3.3124439 | 2 | 128.036948 |
6 | Female | 59 | 59 | validation | 0.7630085 | 1 | 29.492810 |
6 | Female | 60 | 60 | testing | 2.2590105 | 1 | 87.318254 |
6 | Female | 60 | 60 | training | 3.2551241 | 2 | 125.821350 |
6 | Female | 60 | 60 | validation | 0.7502590 | 1 | 29.000000 |
6 | Female | 61 | 61 | testing | 0.9313560 | 0 | 36.000000 |
6 | Female | 61 | 61 | training | 2.6966397 | 2 | 104.234072 |
6 | Female | 61 | 61 | validation | 0.8275000 | 2 | 31.985620 |
6 | Female | 62 | 62 | testing | 1.1811943 | 1 | 45.657080 |
6 | Female | 62 | 62 | training | 2.9460001 | 4 | 113.872678 |
6 | Female | 62 | 62 | validation | 0.6467750 | 0 | 25.000000 |
6 | Female | 63 | 63 | testing | 0.8516710 | 2 | 32.919912 |
6 | Female | 63 | 63 | training | 2.9994420 | 5 | 115.938386 |
6 | Female | 63 | 63 | validation | 0.9313560 | 0 | 36.000000 |
6 | Female | 64 | 64 | testing | 0.9313560 | 0 | 36.000000 |
6 | Female | 64 | 64 | training | 2.7780246 | 2 | 107.379868 |
6 | Female | 64 | 64 | validation | 0.7320377 | 2 | 28.295686 |
6 | Female | 65 | 65 | testing | 0.9830980 | 0 | 38.000000 |
6 | Female | 65 | 65 | training | 2.7021115 | 1 | 104.445576 |
6 | Female | 65 | 65 | validation | 0.6985170 | 0 | 27.000000 |
6 | Female | 66 | 66 | testing | 0.7681083 | 1 | 29.689934 |
6 | Female | 66 | 66 | training | 2.8174950 | 1 | 108.905532 |
6 | Female | 66 | 66 | validation | 0.7087166 | 0 | 27.394248 |
6 | Female | 67 | 67 | testing | 0.8130506 | 1 | 31.427102 |
6 | Female | 67 | 67 | training | 2.2343615 | 2 | 86.365488 |
6 | Female | 67 | 67 | validation | 0.6413032 | 1 | 24.788496 |
6 | Female | 68 | 68 | testing | 0.8796140 | 0 | 34.000000 |
6 | Female | 68 | 68 | training | 2.8895303 | 0 | 111.689934 |
6 | Female | 68 | 68 | validation | 0.5967329 | 1 | 23.065708 |
6 | Female | 69 | 69 | testing | 0.8122006 | 0 | 31.394248 |
6 | Female | 69 | 69 | training | 2.4493513 | 2 | 94.675554 |
6 | Female | 69 | 69 | validation | 0.6595245 | 1 | 25.492810 |
6 | Female | 70 | 70 | testing | 1.3372703 | 1 | 51.689934 |
6 | Female | 70 | 70 | training | 1.9374031 | 1 | 74.887058 |
6 | Female | 70 | 70 | validation | 0.4915490 | 0 | 19.000000 |
6 | Female | 71 | 71 | testing | 1.5735091 | 1 | 60.821350 |
6 | Female | 71 | 71 | training | 2.0328654 | 2 | 78.576992 |
6 | Female | 71 | 71 | validation | 0.4139360 | 0 | 16.000000 |
6 | Female | 72 | 72 | testing | 1.5263890 | 0 | 59.000000 |
6 | Female | 72 | 72 | training | 1.7266632 | 4 | 66.741262 |
6 | Female | 72 | 72 | validation | 0.2629598 | 1 | 10.164270 |
6 | Female | 73 | 73 | testing | 0.6162821 | 2 | 23.821350 |
6 | Female | 73 | 73 | training | 1.6040020 | 1 | 62.000000 |
6 | Female | 73 | 73 | validation | 0.2845810 | 0 | 11.000000 |
6 | Female | 74 | 74 | testing | 0.6209040 | 0 | 24.000000 |
6 | Female | 74 | 74 | training | 1.6642437 | 1 | 64.328540 |
6 | Female | 74 | 74 | validation | 0.4440568 | 1 | 17.164270 |
6 | Female | 75 | 75 | testing | 0.5492408 | 1 | 21.229978 |
6 | Female | 75 | 75 | training | 1.6261011 | 3 | 62.854204 |
6 | Female | 75 | 75 | validation | 0.4656780 | 0 | 18.000000 |
6 | Female | 76 | 76 | testing | 0.6467750 | 1 | 25.000000 |
6 | Female | 76 | 76 | training | 1.6044799 | 0 | 62.018474 |
6 | Female | 76 | 76 | validation | 0.2587100 | 0 | 10.000000 |
6 | Female | 77 | 77 | testing | 0.5691620 | 1 | 22.000000 |
6 | Female | 77 | 77 | training | 1.3970340 | 0 | 54.000000 |
6 | Female | 77 | 77 | validation | 0.4139360 | 0 | 16.000000 |
6 | Female | 78 | 78 | testing | 0.4656780 | 0 | 18.000000 |
6 | Female | 78 | 78 | training | 1.4975961 | 0 | 57.887058 |
6 | Female | 78 | 78 | validation | 0.4139360 | 0 | 16.000000 |
6 | Female | 79 | 79 | testing | 0.6726460 | 0 | 26.000000 |
6 | Female | 79 | 79 | training | 1.3020497 | 0 | 50.328540 |
6 | Female | 79 | 79 | validation | 0.3621940 | 0 | 14.000000 |
6 | Female | 80 | 80 | testing | 0.5633182 | 3 | 21.774116 |
6 | Female | 80 | 80 | training | 1.5158174 | 1 | 58.591372 |
6 | Female | 80 | 80 | validation | 0.3800433 | 1 | 14.689934 |
6 | Female | 81 | 81 | testing | 0.4656780 | 0 | 18.000000 |
6 | Female | 81 | 81 | training | 1.2244367 | 1 | 47.328540 |
6 | Female | 81 | 81 | validation | 0.3240515 | 2 | 12.525664 |
6 | Female | 82 | 82 | testing | 0.8707423 | 1 | 33.657080 |
6 | Female | 82 | 82 | training | 1.2630571 | 1 | 48.821350 |
6 | Female | 82 | 82 | validation | 0.3024303 | 0 | 11.689934 |
6 | Female | 83 | 83 | testing | 0.7172162 | 1 | 27.722788 |
6 | Female | 83 | 83 | training | 0.8308998 | 0 | 32.117036 |
6 | Female | 83 | 83 | validation | 0.3363230 | 0 | 13.000000 |
6 | Female | 84 | 84 | testing | 0.6481029 | 1 | 25.051328 |
6 | Female | 84 | 84 | training | 0.7511090 | 1 | 29.032854 |
6 | Female | 84 | 84 | validation | 0.2120678 | 1 | 8.197124 |
6 | Female | 85 | 85 | testing | 0.3104520 | 0 | 12.000000 |
6 | Female | 85 | 85 | training | 0.9856479 | 0 | 38.098562 |
6 | Female | 85 | 85 | validation | 0.2069680 | 0 | 8.000000 |
6 | Female | 86 | 86 | testing | 0.3104520 | 0 | 12.000000 |
6 | Female | 86 | 86 | training | 0.9241842 | 1 | 35.722788 |
6 | Female | 86 | 86 | validation | 0.2362389 | 0 | 9.131416 |
6 | Female | 87 | 87 | testing | 0.2587100 | 0 | 10.000000 |
6 | Female | 87 | 87 | training | 0.9054850 | 0 | 35.000000 |
6 | Female | 87 | 87 | validation | 0.2587100 | 0 | 10.000000 |
6 | Female | 88 | 88 | testing | 0.3104520 | 0 | 12.000000 |
6 | Female | 88 | 88 | training | 0.8393995 | 2 | 32.445576 |
6 | Female | 88 | 88 | validation | 0.2069680 | 0 | 8.000000 |
6 | Female | 89 | 89 | testing | 0.3104520 | 0 | 12.000000 |
6 | Female | 89 | 89 | training | 0.8537430 | 0 | 33.000000 |
6 | Female | 89 | 89 | validation | 0.1810970 | 0 | 7.000000 |
6 | Female | 90 | 90 | testing | 0.2587100 | 0 | 10.000000 |
6 | Female | 90 | 90 | training | 0.9572270 | 0 | 37.000000 |
6 | Female | 90 | 90 | validation | 0.1552260 | 0 | 6.000000 |
6 | Female | 91 | 91 | testing | 0.3621940 | 0 | 14.000000 |
6 | Female | 91 | 91 | training | 0.8278720 | 1 | 32.000000 |
6 | Female | 91 | 91 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 92 | 92 | testing | 0.2328390 | 0 | 9.000000 |
6 | Female | 92 | 92 | training | 0.7502590 | 0 | 29.000000 |
6 | Female | 92 | 92 | validation | 0.1810970 | 0 | 7.000000 |
6 | Female | 93 | 93 | testing | 0.2816591 | 0 | 10.887058 |
6 | Female | 93 | 93 | training | 0.8550709 | 2 | 33.051328 |
6 | Female | 93 | 93 | validation | 0.1810970 | 0 | 7.000000 |
6 | Female | 94 | 94 | testing | 0.5691620 | 0 | 22.000000 |
6 | Female | 94 | 94 | training | 0.5691620 | 0 | 22.000000 |
6 | Female | 94 | 94 | validation | 0.1230332 | 1 | 4.755642 |
6 | Female | 95 | 95 | testing | 0.4619061 | 1 | 17.854204 |
6 | Female | 95 | 95 | training | 0.5369692 | 1 | 20.755642 |
6 | Female | 95 | 95 | validation | 0.1552260 | 0 | 6.000000 |
6 | Female | 96 | 96 | testing | 0.3880650 | 0 | 15.000000 |
6 | Female | 96 | 96 | training | 0.5432910 | 0 | 21.000000 |
6 | Female | 96 | 96 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 97 | 97 | testing | 0.1034840 | 1 | 4.000000 |
6 | Female | 97 | 97 | training | 0.5950330 | 0 | 23.000000 |
6 | Female | 97 | 97 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 98 | 98 | testing | 0.2328390 | 0 | 9.000000 |
6 | Female | 98 | 98 | training | 0.5810615 | 0 | 22.459956 |
6 | Female | 98 | 98 | validation | 0.1247331 | 0 | 4.821350 |
6 | Female | 99 | 99 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 99 | 99 | training | 0.5174200 | 0 | 20.000000 |
6 | Female | 99 | 99 | validation | 0.1293550 | 0 | 5.000000 |
6 | Female | 100 | 100 | testing | 0.1810970 | 0 | 7.000000 |
6 | Female | 100 | 100 | training | 0.5432910 | 0 | 21.000000 |
6 | Female | 100 | 100 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 101 | 101 | testing | 0.2587100 | 0 | 10.000000 |
6 | Female | 101 | 101 | training | 0.5432910 | 0 | 21.000000 |
6 | Female | 101 | 101 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 102 | 102 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 102 | 102 | training | 0.5466909 | 1 | 21.131416 |
6 | Female | 102 | 102 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 103 | 103 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 103 | 103 | training | 0.4656780 | 0 | 18.000000 |
6 | Female | 103 | 103 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 104 | 104 | testing | 0.1552260 | 0 | 6.000000 |
6 | Female | 104 | 104 | training | 0.5560405 | 1 | 21.492810 |
6 | Female | 104 | 104 | validation | 0.1238832 | 0 | 4.788496 |
6 | Female | 105 | 105 | testing | 0.2328390 | 0 | 9.000000 |
6 | Female | 105 | 105 | training | 0.5432910 | 0 | 21.000000 |
6 | Female | 105 | 105 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 106 | 106 | testing | 0.4139360 | 0 | 16.000000 |
6 | Female | 106 | 106 | training | 0.2328390 | 0 | 9.000000 |
6 | Female | 106 | 106 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 107 | 107 | testing | 0.5691620 | 0 | 22.000000 |
6 | Female | 107 | 107 | training | 0.1293550 | 0 | 5.000000 |
6 | Female | 107 | 107 | validation | 0.1034840 | 0 | 4.000000 |
6 | Female | 108 | 108 | testing | 0.3621940 | 0 | 14.000000 |
6 | Female | 108 | 108 | training | 0.2069680 | 0 | 8.000000 |
6 | Female | 108 | 108 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 109 | 109 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 109 | 109 | training | 0.1810970 | 0 | 7.000000 |
6 | Female | 109 | 109 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 110 | 110 | testing | 0.2587100 | 0 | 10.000000 |
6 | Female | 110 | 110 | training | 0.2328390 | 0 | 9.000000 |
6 | Female | 110 | 110 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 111 | 111 | testing | 0.1552260 | 0 | 6.000000 |
6 | Female | 111 | 111 | training | 0.2845810 | 0 | 11.000000 |
6 | Female | 111 | 111 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 112 | 112 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 112 | 112 | training | 0.2587100 | 0 | 10.000000 |
6 | Female | 112 | 112 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 113 | 113 | testing | 0.2328390 | 0 | 9.000000 |
6 | Female | 113 | 113 | training | 0.2587100 | 0 | 10.000000 |
6 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 114 | 114 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 114 | 114 | training | 0.2328390 | 0 | 9.000000 |
6 | Female | 114 | 114 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 115 | 115 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 115 | 115 | training | 0.2587100 | 0 | 10.000000 |
6 | Female | 115 | 115 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 116 | 116 | testing | 0.2845810 | 0 | 11.000000 |
6 | Female | 116 | 116 | training | 0.2069680 | 0 | 8.000000 |
6 | Female | 116 | 116 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 117 | 117 | testing | 0.2069680 | 0 | 8.000000 |
6 | Female | 117 | 117 | training | 0.2328390 | 0 | 9.000000 |
6 | Female | 117 | 117 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 118 | 118 | testing | 0.3621940 | 0 | 14.000000 |
6 | Female | 118 | 118 | training | 0.1552260 | 0 | 6.000000 |
6 | Female | 118 | 118 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 119 | 119 | testing | 0.2845810 | 1 | 11.000000 |
6 | Female | 119 | 119 | training | 0.1034840 | 0 | 4.000000 |
6 | Female | 119 | 119 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 120 | 120 | testing | 0.1810970 | 0 | 7.000000 |
6 | Female | 120 | 120 | training | 0.1810970 | 0 | 7.000000 |
6 | Female | 120 | 120 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 121 | 121 | testing | 0.0776130 | 0 | 3.000000 |
6 | Female | 121 | 121 | training | 0.1552260 | 0 | 6.000000 |
6 | Female | 121 | 121 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 122 | 122 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 122 | 122 | training | 0.1293550 | 0 | 5.000000 |
6 | Female | 123 | 123 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 123 | 123 | training | 0.0776130 | 0 | 3.000000 |
6 | Female | 123 | 123 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 124 | 124 | testing | 0.0869626 | 1 | 3.361394 |
6 | Female | 124 | 124 | training | 0.1034840 | 0 | 4.000000 |
6 | Female | 124 | 124 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 125 | 125 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 125 | 125 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 126 | 126 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 126 | 126 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 126 | 126 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 127 | 127 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 127 | 127 | training | 0.0776130 | 0 | 3.000000 |
6 | Female | 127 | 127 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 128 | 128 | testing | 0.1060339 | 1 | 4.098562 |
6 | Female | 128 | 128 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 129 | 129 | testing | 0.0275709 | 0 | 1.065708 |
6 | Female | 129 | 129 | training | 0.1153835 | 1 | 4.459956 |
6 | Female | 129 | 129 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 130 | 130 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 130 | 130 | training | 0.0776130 | 0 | 3.000000 |
6 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 131 | 131 | testing | 0.1293550 | 0 | 5.000000 |
6 | Female | 131 | 131 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 131 | 131 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 132 | 132 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 132 | 132 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 132 | 132 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 133 | 133 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 133 | 133 | training | 0.0712912 | 1 | 2.755642 |
6 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 134 | 134 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 134 | 134 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 134 | 134 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 135 | 135 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 135 | 135 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 136 | 136 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 136 | 136 | training | 0.1034840 | 0 | 4.000000 |
6 | Female | 136 | 136 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 137 | 137 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 137 | 137 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 138 | 138 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 138 | 138 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 139 | 139 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 139 | 139 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 139 | 139 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 140 | 140 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 140 | 140 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 140 | 140 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 141 | 141 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 141 | 141 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 142 | 142 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 142 | 142 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 143 | 143 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 143 | 143 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 144 | 144 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 145 | 145 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 146 | 146 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 146 | 146 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 147 | 147 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 148 | 148 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 148 | 148 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 148 | 148 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 149 | 149 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 150 | 150 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 150 | 150 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 150 | 150 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 151 | 151 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
6 | Female | 151 | 151 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 152 | 152 | training | 0.0517420 | 0 | 2.000000 |
6 | Female | 152 | 152 | validation | 0.0517420 | 0 | 2.000000 |
6 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 153 | 153 | validation | 0.0776130 | 0 | 3.000000 |
6 | Female | 154 | 154 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 155 | 155 | testing | 0.0776130 | 0 | 3.000000 |
6 | Female | 155 | 155 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 156 | 156 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 157 | 157 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 157 | 157 | validation | 0.0258710 | 0 | 1.000000 |
6 | Female | 158 | 158 | testing | 0.0776130 | 0 | 3.000000 |
6 | Female | 160 | 160 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 160 | 160 | validation | 0.0258710 | 1 | 1.000000 |
6 | Female | 160 | 161 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 160 | 162 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 160 | 163 | testing | 0.0517420 | 0 | 2.000000 |
6 | Female | 160 | 164 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 160 | 165 | testing | 0.0776130 | 0 | 3.000000 |
6 | Female | 160 | 166 | testing | 0.0258710 | 0 | 1.000000 |
6 | Female | 160 | 167 | testing | 0.0776130 | 0 | 3.000000 |
6 | Male | 1 | 1 | testing | 1.5773665 | 0 | 7.340822 |
6 | Male | 1 | 1 | training | 13.2917979 | 10 | 61.857992 |
6 | Male | 1 | 1 | validation | 5.1922998 | 2 | 24.164168 |
6 | Male | 2 | 2 | testing | 3.5240897 | 2 | 29.314160 |
6 | Male | 2 | 2 | training | 20.2311742 | 20 | 168.287396 |
6 | Male | 2 | 2 | validation | 6.7314636 | 7 | 55.993808 |
6 | Male | 3 | 3 | testing | 4.8154765 | 3 | 49.468144 |
6 | Male | 3 | 3 | training | 24.9267064 | 13 | 256.065606 |
6 | Male | 3 | 3 | validation | 6.9016963 | 9 | 70.899340 |
6 | Male | 4 | 4 | testing | 11.2260223 | 11 | 148.398138 |
6 | Male | 4 | 4 | training | 42.1336909 | 29 | 556.970322 |
6 | Male | 4 | 4 | validation | 14.2696417 | 6 | 188.632108 |
6 | Male | 5 | 5 | testing | 8.7844171 | 6 | 142.036948 |
6 | Male | 5 | 5 | training | 35.9971635 | 20 | 582.045136 |
6 | Male | 5 | 5 | validation | 12.9236524 | 11 | 208.965048 |
6 | Male | 6 | 6 | testing | 6.7121638 | 3 | 124.149890 |
6 | Male | 6 | 6 | training | 30.7449956 | 27 | 568.667264 |
6 | Male | 6 | 6 | validation | 10.4304364 | 2 | 192.924006 |
6 | Male | 7 | 7 | testing | 6.0095905 | 5 | 121.806970 |
6 | Male | 7 | 7 | training | 27.2408081 | 23 | 552.137506 |
6 | Male | 7 | 7 | validation | 10.7969004 | 5 | 218.839824 |
6 | Male | 8 | 8 | testing | 6.5698385 | 4 | 142.201218 |
6 | Male | 8 | 8 | training | 23.7613533 | 13 | 514.303874 |
6 | Male | 8 | 8 | validation | 8.9143247 | 10 | 192.946574 |
6 | Male | 9 | 9 | testing | 5.4462034 | 3 | 123.412722 |
6 | Male | 9 | 9 | training | 23.5862599 | 16 | 534.472238 |
6 | Male | 9 | 9 | validation | 8.8935082 | 8 | 201.529758 |
6 | Male | 10 | 10 | testing | 10.1553985 | 4 | 237.887058 |
6 | Male | 10 | 10 | training | 17.9303243 | 15 | 420.012282 |
6 | Male | 10 | 10 | validation | 6.2323009 | 7 | 145.989714 |
6 | Male | 11 | 11 | testing | 10.1122423 | 1 | 243.445576 |
6 | Male | 11 | 11 | training | 16.7268473 | 13 | 402.687836 |
6 | Male | 11 | 11 | validation | 6.3363784 | 3 | 152.544138 |
6 | Male | 12 | 12 | testing | 8.4946677 | 8 | 209.796684 |
6 | Male | 12 | 12 | training | 16.2335788 | 12 | 400.928100 |
6 | Male | 12 | 12 | validation | 6.0390790 | 2 | 149.149890 |
6 | Male | 13 | 13 | testing | 4.5259691 | 3 | 114.741262 |
6 | Male | 13 | 13 | training | 15.6886598 | 12 | 397.735070 |
6 | Male | 13 | 13 | validation | 5.2093319 | 2 | 132.065708 |
6 | Male | 14 | 14 | testing | 4.7753312 | 5 | 124.351108 |
6 | Male | 14 | 14 | training | 13.4078163 | 15 | 349.143698 |
6 | Male | 14 | 14 | validation | 5.6935893 | 2 | 148.262832 |
6 | Male | 15 | 15 | testing | 4.3381535 | 7 | 115.891152 |
6 | Male | 15 | 15 | training | 14.0721166 | 7 | 375.928100 |
6 | Male | 15 | 15 | validation | 5.7544584 | 4 | 153.726882 |
6 | Male | 16 | 16 | testing | 4.0573913 | 2 | 110.821350 |
6 | Male | 16 | 16 | training | 13.3224063 | 12 | 363.880866 |
6 | Male | 16 | 16 | validation | 4.7483578 | 4 | 129.694028 |
6 | Male | 17 | 17 | testing | 3.5992106 | 3 | 100.069802 |
6 | Male | 17 | 17 | training | 12.5921422 | 7 | 350.102656 |
6 | Male | 17 | 17 | validation | 4.5178093 | 5 | 125.609846 |
6 | Male | 18 | 18 | testing | 3.7261350 | 0 | 105.000000 |
6 | Male | 18 | 18 | training | 12.5333216 | 15 | 353.180646 |
6 | Male | 18 | 18 | validation | 4.5924693 | 3 | 129.412722 |
6 | Male | 19 | 19 | testing | 3.5450694 | 4 | 100.872678 |
6 | Male | 19 | 19 | training | 11.9200207 | 11 | 339.176552 |
6 | Male | 19 | 19 | validation | 4.6390080 | 0 | 132.000000 |
6 | Male | 20 | 20 | testing | 3.5251696 | 3 | 100.952766 |
6 | Male | 20 | 20 | training | 11.4730778 | 6 | 328.562612 |
6 | Male | 20 | 20 | validation | 4.7050301 | 3 | 134.741262 |
6 | Male | 21 | 21 | testing | 3.4977319 | 4 | 100.529758 |
6 | Male | 21 | 21 | training | 11.2075605 | 5 | 322.121130 |
6 | Male | 21 | 21 | validation | 4.4337136 | 5 | 127.431196 |
6 | Male | 22 | 22 | testing | 5.3677802 | 5 | 154.464050 |
6 | Male | 22 | 22 | training | 8.3609330 | 5 | 240.595466 |
6 | Male | 22 | 22 | validation | 3.6881728 | 2 | 106.131416 |
6 | Male | 23 | 23 | testing | 5.6188359 | 2 | 161.595466 |
6 | Male | 23 | 23 | training | 8.2333728 | 3 | 236.788496 |
6 | Male | 23 | 23 | validation | 3.4726729 | 3 | 99.872678 |
6 | Male | 24 | 24 | testing | 5.0469250 | 9 | 144.880866 |
6 | Male | 24 | 24 | training | 9.5426437 | 4 | 273.938386 |
6 | Male | 24 | 24 | validation | 3.3093250 | 0 | 95.000000 |
6 | Male | 25 | 25 | testing | 1.9427300 | 2 | 55.609846 |
6 | Male | 25 | 25 | training | 8.5427901 | 9 | 244.533852 |
6 | Male | 25 | 25 | validation | 3.1431453 | 4 | 89.971240 |
6 | Male | 26 | 26 | testing | 2.3585039 | 1 | 67.262832 |
6 | Male | 26 | 26 | training | 7.5044873 | 6 | 214.022568 |
6 | Male | 26 | 26 | validation | 3.1333679 | 2 | 89.361394 |
6 | Male | 27 | 27 | testing | 2.3596060 | 0 | 67.000000 |
6 | Male | 27 | 27 | training | 7.5323122 | 10 | 213.876772 |
6 | Male | 27 | 27 | validation | 3.2210367 | 2 | 91.459956 |
6 | Male | 28 | 28 | testing | 2.5088348 | 1 | 70.887058 |
6 | Male | 28 | 28 | training | 7.7626206 | 6 | 219.332634 |
6 | Male | 28 | 28 | validation | 3.2306280 | 1 | 91.281306 |
6 | Male | 29 | 29 | testing | 2.2057120 | 0 | 62.000000 |
6 | Male | 29 | 29 | training | 6.9805661 | 1 | 196.215598 |
6 | Male | 29 | 29 | validation | 3.3441440 | 0 | 94.000000 |
6 | Male | 30 | 30 | testing | 2.2659302 | 1 | 63.361394 |
6 | Male | 30 | 30 | training | 8.1285483 | 1 | 227.295686 |
6 | Male | 30 | 30 | validation | 2.9694209 | 1 | 83.032854 |
6 | Male | 31 | 31 | testing | 2.2647240 | 0 | 63.000000 |
6 | Male | 31 | 31 | training | 6.8425945 | 3 | 190.347014 |
6 | Male | 31 | 31 | validation | 2.7090914 | 0 | 75.361394 |
6 | Male | 32 | 32 | testing | 2.2358311 | 1 | 61.872678 |
6 | Male | 32 | 32 | training | 6.7582475 | 5 | 187.022568 |
6 | Male | 32 | 32 | validation | 2.6017920 | 0 | 72.000000 |
6 | Male | 33 | 33 | testing | 2.3974500 | 0 | 66.000000 |
6 | Male | 33 | 33 | training | 7.3147501 | 8 | 201.369582 |
6 | Male | 33 | 33 | validation | 3.0859092 | 2 | 84.952766 |
6 | Male | 34 | 34 | testing | 3.0062938 | 4 | 82.332634 |
6 | Male | 34 | 34 | training | 5.0930649 | 10 | 139.482524 |
6 | Male | 34 | 34 | validation | 1.8436945 | 1 | 50.492810 |
6 | Male | 35 | 35 | testing | 3.6555013 | 3 | 99.591372 |
6 | Male | 35 | 35 | training | 5.4914294 | 3 | 149.609846 |
6 | Male | 35 | 35 | validation | 2.5248817 | 2 | 68.788496 |
6 | Male | 36 | 36 | testing | 3.2210127 | 3 | 87.299780 |
6 | Male | 36 | 36 | training | 5.0893747 | 5 | 137.938386 |
6 | Male | 36 | 36 | validation | 2.0372347 | 3 | 55.215598 |
6 | Male | 37 | 37 | testing | 1.6599420 | 1 | 44.755642 |
6 | Male | 37 | 37 | training | 4.8742701 | 7 | 131.420910 |
6 | Male | 37 | 37 | validation | 2.1713435 | 3 | 58.544138 |
6 | Male | 38 | 38 | testing | 1.7139457 | 3 | 45.971240 |
6 | Male | 38 | 38 | training | 4.9300829 | 3 | 132.234072 |
6 | Male | 38 | 38 | validation | 2.1251310 | 0 | 57.000000 |
6 | Male | 39 | 39 | testing | 1.8745424 | 2 | 50.018474 |
6 | Male | 39 | 39 | training | 4.7067878 | 1 | 125.591372 |
6 | Male | 39 | 39 | validation | 2.1761285 | 1 | 58.065708 |
6 | Male | 40 | 40 | testing | 1.5026651 | 1 | 39.887058 |
6 | Male | 40 | 40 | training | 4.3758690 | 5 | 116.153984 |
6 | Male | 40 | 40 | validation | 2.2690440 | 2 | 60.229978 |
6 | Male | 41 | 41 | testing | 1.2683392 | 1 | 33.492810 |
6 | Male | 41 | 41 | training | 4.1737545 | 1 | 110.215598 |
6 | Male | 41 | 41 | validation | 1.8177120 | 1 | 48.000000 |
6 | Male | 42 | 42 | testing | 1.4084790 | 0 | 37.000000 |
6 | Male | 42 | 42 | training | 4.3335406 | 4 | 113.839824 |
6 | Male | 42 | 42 | validation | 1.9053039 | 1 | 50.051328 |
6 | Male | 43 | 43 | testing | 1.4170992 | 0 | 37.032854 |
6 | Male | 43 | 43 | training | 3.8474220 | 3 | 100.544138 |
6 | Male | 43 | 43 | validation | 1.7219700 | 0 | 45.000000 |
6 | Male | 44 | 44 | testing | 1.1691451 | 1 | 30.394248 |
6 | Male | 44 | 44 | training | 4.0244755 | 2 | 104.624226 |
6 | Male | 44 | 44 | validation | 2.1156300 | 0 | 55.000000 |
6 | Male | 45 | 45 | testing | 1.1213140 | 1 | 29.000000 |
6 | Male | 45 | 45 | training | 4.0588180 | 4 | 104.971240 |
6 | Male | 45 | 45 | validation | 1.4598597 | 1 | 37.755642 |
6 | Male | 46 | 46 | testing | 2.2811604 | 2 | 58.689934 |
6 | Male | 46 | 46 | training | 2.9451883 | 3 | 75.774116 |
6 | Male | 46 | 46 | validation | 1.2049080 | 1 | 31.000000 |
6 | Male | 47 | 47 | testing | 2.0483793 | 1 | 52.427102 |
6 | Male | 47 | 47 | training | 2.8259484 | 1 | 72.328540 |
6 | Male | 47 | 47 | validation | 1.4296615 | 2 | 36.591372 |
6 | Male | 48 | 48 | testing | 1.8254403 | 2 | 46.478430 |
6 | Male | 48 | 48 | training | 3.0241750 | 0 | 77.000000 |
6 | Male | 48 | 48 | validation | 1.1177648 | 1 | 28.459956 |
6 | Male | 49 | 49 | testing | 0.7210166 | 1 | 18.262832 |
6 | Male | 49 | 49 | training | 2.8019446 | 4 | 70.971240 |
6 | Male | 49 | 49 | validation | 1.0789308 | 1 | 27.328540 |
6 | Male | 50 | 50 | testing | 1.0715220 | 0 | 27.000000 |
6 | Male | 50 | 50 | training | 2.9792202 | 3 | 75.069802 |
6 | Male | 50 | 50 | validation | 1.3890100 | 0 | 35.000000 |
6 | Male | 51 | 51 | testing | 0.9371987 | 2 | 23.492810 |
6 | Male | 51 | 51 | training | 2.4564909 | 3 | 61.576992 |
6 | Male | 51 | 51 | validation | 1.2765760 | 0 | 32.000000 |
6 | Male | 52 | 52 | testing | 0.8152151 | 1 | 20.328540 |
6 | Male | 52 | 52 | training | 2.3588538 | 1 | 58.821350 |
6 | Male | 52 | 52 | validation | 1.1117392 | 1 | 27.722788 |
6 | Male | 53 | 53 | testing | 1.1287080 | 0 | 28.000000 |
6 | Male | 53 | 53 | training | 2.3870400 | 2 | 59.215598 |
6 | Male | 53 | 53 | validation | 1.4010347 | 1 | 34.755642 |
6 | Male | 54 | 54 | testing | 0.8018496 | 1 | 19.788496 |
6 | Male | 54 | 54 | training | 2.3947328 | 3 | 59.098562 |
6 | Male | 54 | 54 | validation | 1.3843704 | 1 | 34.164270 |
6 | Male | 55 | 55 | testing | 0.9649621 | 0 | 23.689934 |
6 | Male | 55 | 55 | training | 2.1588490 | 1 | 53.000000 |
6 | Male | 55 | 55 | validation | 1.4524198 | 1 | 35.657080 |
6 | Male | 56 | 56 | testing | 1.0183250 | 0 | 25.000000 |
6 | Male | 56 | 56 | training | 2.2938447 | 0 | 56.314160 |
6 | Male | 56 | 56 | validation | 1.0997910 | 0 | 27.000000 |
6 | Male | 57 | 57 | testing | 0.7331940 | 0 | 18.000000 |
6 | Male | 57 | 57 | training | 2.2403150 | 0 | 55.000000 |
6 | Male | 57 | 57 | validation | 1.1405240 | 0 | 28.000000 |
6 | Male | 58 | 58 | testing | 1.3956279 | 2 | 34.262832 |
6 | Male | 58 | 58 | training | 1.6681290 | 2 | 40.952766 |
6 | Male | 58 | 58 | validation | 0.8961260 | 0 | 22.000000 |
6 | Male | 59 | 59 | testing | 1.4778464 | 2 | 36.281306 |
6 | Male | 59 | 59 | training | 1.4049956 | 1 | 34.492810 |
6 | Male | 59 | 59 | validation | 0.9255673 | 2 | 22.722788 |
6 | Male | 60 | 60 | testing | 1.0364746 | 2 | 25.445576 |
6 | Male | 60 | 60 | training | 1.7656539 | 1 | 43.347014 |
6 | Male | 60 | 60 | validation | 0.9775920 | 0 | 24.000000 |
6 | Male | 61 | 61 | testing | 0.7452382 | 1 | 18.295686 |
6 | Male | 61 | 61 | training | 1.1432005 | 1 | 28.065708 |
6 | Male | 61 | 61 | validation | 0.8961260 | 0 | 22.000000 |
6 | Male | 62 | 62 | testing | 0.4480630 | 0 | 11.000000 |
6 | Male | 62 | 62 | training | 1.4663880 | 0 | 36.000000 |
6 | Male | 62 | 62 | validation | 0.9877122 | 2 | 24.248452 |
6 | Male | 63 | 63 | testing | 0.4928107 | 1 | 12.098562 |
6 | Male | 63 | 63 | training | 1.3441890 | 0 | 33.000000 |
6 | Male | 63 | 63 | validation | 0.8553930 | 0 | 21.000000 |
6 | Male | 64 | 64 | testing | 0.6243774 | 2 | 15.328540 |
6 | Male | 64 | 64 | training | 1.1185264 | 1 | 27.459956 |
6 | Male | 64 | 64 | validation | 0.9775920 | 0 | 24.000000 |
6 | Male | 65 | 65 | testing | 0.5823062 | 1 | 14.295686 |
6 | Male | 65 | 65 | training | 1.1405240 | 0 | 28.000000 |
6 | Male | 65 | 65 | validation | 1.0137245 | 1 | 24.887058 |
6 | Male | 66 | 66 | testing | 0.4233889 | 1 | 10.394248 |
6 | Male | 66 | 66 | training | 1.3055467 | 1 | 32.051328 |
6 | Male | 66 | 66 | validation | 0.8701137 | 1 | 21.361394 |
6 | Male | 67 | 67 | testing | 0.4887960 | 0 | 12.000000 |
6 | Male | 67 | 67 | training | 1.2627230 | 0 | 31.000000 |
6 | Male | 67 | 67 | validation | 0.7331940 | 1 | 18.000000 |
6 | Male | 68 | 68 | testing | 0.4887960 | 0 | 12.000000 |
6 | Male | 68 | 68 | training | 1.1512299 | 1 | 28.262832 |
6 | Male | 68 | 68 | validation | 0.6557427 | 1 | 16.098562 |
6 | Male | 69 | 69 | testing | 0.5809679 | 1 | 14.262832 |
6 | Male | 69 | 69 | training | 1.1713036 | 0 | 28.755642 |
6 | Male | 69 | 69 | validation | 0.9775920 | 1 | 24.000000 |
6 | Male | 70 | 70 | testing | 0.5295290 | 0 | 13.000000 |
6 | Male | 70 | 70 | training | 1.2353724 | 1 | 30.328540 |
6 | Male | 70 | 70 | validation | 0.6597575 | 1 | 16.197124 |
6 | Male | 71 | 71 | testing | 0.7098581 | 1 | 17.427102 |
6 | Male | 71 | 71 | training | 1.3034560 | 0 | 32.000000 |
6 | Male | 71 | 71 | validation | 0.5295290 | 0 | 13.000000 |
6 | Male | 72 | 72 | testing | 0.6865223 | 1 | 16.854204 |
6 | Male | 72 | 72 | training | 1.0590580 | 1 | 26.000000 |
6 | Male | 72 | 72 | validation | 0.4887960 | 0 | 12.000000 |
6 | Male | 73 | 73 | testing | 0.1923733 | 1 | 4.722788 |
6 | Male | 73 | 73 | training | 1.0378129 | 1 | 25.478430 |
6 | Male | 73 | 73 | validation | 0.5702620 | 0 | 14.000000 |
6 | Male | 74 | 74 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 74 | 74 | training | 0.6718016 | 1 | 16.492810 |
6 | Male | 74 | 74 | validation | 0.7739270 | 0 | 19.000000 |
6 | Male | 75 | 75 | testing | 0.2036650 | 0 | 5.000000 |
6 | Male | 75 | 75 | training | 0.7739270 | 0 | 19.000000 |
6 | Male | 75 | 75 | validation | 0.6377598 | 1 | 15.657080 |
6 | Male | 76 | 76 | testing | 0.1288902 | 0 | 3.164270 |
6 | Male | 76 | 76 | training | 1.0997910 | 0 | 27.000000 |
6 | Male | 76 | 76 | validation | 0.5182373 | 1 | 12.722788 |
6 | Male | 77 | 77 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 77 | 77 | training | 1.1432005 | 0 | 28.065708 |
6 | Male | 77 | 77 | validation | 0.6109950 | 0 | 15.000000 |
6 | Male | 78 | 78 | testing | 0.1221990 | 0 | 3.000000 |
6 | Male | 78 | 78 | training | 0.8360719 | 1 | 20.525664 |
6 | Male | 78 | 78 | validation | 0.4601072 | 1 | 11.295686 |
6 | Male | 79 | 79 | testing | 0.1462874 | 0 | 3.591372 |
6 | Male | 79 | 79 | training | 1.0183250 | 0 | 25.000000 |
6 | Male | 79 | 79 | validation | 0.6517280 | 0 | 16.000000 |
6 | Male | 80 | 80 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 80 | 80 | training | 0.8553930 | 0 | 21.000000 |
6 | Male | 80 | 80 | validation | 0.4073300 | 0 | 10.000000 |
6 | Male | 81 | 81 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 81 | 81 | training | 0.8146600 | 0 | 20.000000 |
6 | Male | 81 | 81 | validation | 0.5295290 | 0 | 13.000000 |
6 | Male | 82 | 82 | testing | 0.4327566 | 1 | 10.624226 |
6 | Male | 82 | 82 | training | 0.4887960 | 0 | 12.000000 |
6 | Male | 82 | 82 | validation | 0.4480630 | 0 | 11.000000 |
6 | Male | 83 | 83 | testing | 0.4995019 | 1 | 12.262832 |
6 | Male | 83 | 83 | training | 0.6109950 | 0 | 15.000000 |
6 | Male | 83 | 83 | validation | 0.2036650 | 0 | 5.000000 |
6 | Male | 84 | 84 | testing | 0.3486141 | 1 | 8.558518 |
6 | Male | 84 | 84 | training | 0.5702620 | 0 | 14.000000 |
6 | Male | 84 | 84 | validation | 0.5702620 | 0 | 14.000000 |
6 | Male | 85 | 85 | testing | 0.3258640 | 0 | 8.000000 |
6 | Male | 85 | 85 | training | 0.4828573 | 1 | 11.854204 |
6 | Male | 85 | 85 | validation | 0.4480630 | 0 | 11.000000 |
6 | Male | 86 | 86 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 86 | 86 | training | 0.3633348 | 1 | 8.919912 |
6 | Male | 86 | 86 | validation | 0.4887960 | 0 | 12.000000 |
6 | Male | 87 | 87 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 87 | 87 | training | 0.4073300 | 0 | 10.000000 |
6 | Male | 87 | 87 | validation | 0.3665970 | 0 | 9.000000 |
6 | Male | 88 | 88 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 88 | 88 | training | 0.3258640 | 0 | 8.000000 |
6 | Male | 88 | 88 | validation | 0.4480630 | 0 | 11.000000 |
6 | Male | 89 | 89 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 89 | 89 | training | 0.4073300 | 0 | 10.000000 |
6 | Male | 89 | 89 | validation | 0.4480630 | 0 | 11.000000 |
6 | Male | 90 | 90 | testing | 0.3258640 | 0 | 8.000000 |
6 | Male | 90 | 90 | training | 0.5702620 | 0 | 14.000000 |
6 | Male | 90 | 90 | validation | 0.4887960 | 0 | 12.000000 |
6 | Male | 91 | 91 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 91 | 91 | training | 0.1629320 | 0 | 4.000000 |
6 | Male | 91 | 91 | validation | 0.3258640 | 0 | 8.000000 |
6 | Male | 92 | 92 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 92 | 92 | training | 0.3258640 | 0 | 8.000000 |
6 | Male | 92 | 92 | validation | 0.4073300 | 0 | 10.000000 |
6 | Male | 93 | 93 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 93 | 93 | training | 0.5295290 | 0 | 13.000000 |
6 | Male | 93 | 93 | validation | 0.3665970 | 0 | 9.000000 |
6 | Male | 94 | 94 | testing | 0.4887960 | 0 | 12.000000 |
6 | Male | 94 | 94 | training | 0.1642702 | 0 | 4.032854 |
6 | Male | 94 | 94 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 95 | 95 | testing | 0.4721514 | 0 | 11.591372 |
6 | Male | 95 | 95 | training | 0.4073300 | 0 | 10.000000 |
6 | Male | 95 | 95 | validation | 0.2036650 | 0 | 5.000000 |
6 | Male | 96 | 96 | testing | 0.4073300 | 0 | 10.000000 |
6 | Male | 96 | 96 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 96 | 96 | validation | 0.1803291 | 1 | 4.427102 |
6 | Male | 97 | 97 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 97 | 97 | training | 0.3665970 | 0 | 9.000000 |
6 | Male | 97 | 97 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 98 | 98 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 98 | 98 | training | 0.2443980 | 0 | 6.000000 |
6 | Male | 98 | 98 | validation | 0.2443980 | 0 | 6.000000 |
6 | Male | 99 | 99 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 99 | 99 | training | 0.3665970 | 0 | 9.000000 |
6 | Male | 99 | 99 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 100 | 100 | testing | 0.1221990 | 0 | 3.000000 |
6 | Male | 100 | 100 | training | 0.3258640 | 0 | 8.000000 |
6 | Male | 100 | 100 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 101 | 101 | testing | 0.1221990 | 0 | 3.000000 |
6 | Male | 101 | 101 | training | 0.3665970 | 0 | 9.000000 |
6 | Male | 101 | 101 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 102 | 102 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 102 | 102 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 102 | 102 | validation | 0.1629320 | 0 | 4.000000 |
6 | Male | 103 | 103 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 103 | 103 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 103 | 103 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 104 | 104 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 104 | 104 | training | 0.1629320 | 0 | 4.000000 |
6 | Male | 104 | 104 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 105 | 105 | testing | 0.2036650 | 0 | 5.000000 |
6 | Male | 105 | 105 | training | 0.2443980 | 0 | 6.000000 |
6 | Male | 105 | 105 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 106 | 106 | testing | 0.2443980 | 0 | 6.000000 |
6 | Male | 106 | 106 | training | 0.2470745 | 0 | 6.065708 |
6 | Male | 106 | 106 | validation | 0.1642702 | 1 | 4.032854 |
6 | Male | 107 | 107 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 107 | 107 | training | 0.2443980 | 0 | 6.000000 |
6 | Male | 107 | 107 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 108 | 108 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 108 | 108 | training | 0.1629320 | 0 | 4.000000 |
6 | Male | 108 | 108 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 109 | 109 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 109 | 109 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 109 | 109 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 110 | 110 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 110 | 110 | training | 0.2851310 | 0 | 7.000000 |
6 | Male | 110 | 110 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 111 | 111 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 111 | 111 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 111 | 111 | validation | 0.1221990 | 0 | 3.000000 |
6 | Male | 112 | 112 | testing | 0.1221990 | 0 | 3.000000 |
6 | Male | 112 | 112 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 112 | 112 | validation | 0.1629320 | 0 | 4.000000 |
6 | Male | 113 | 113 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 113 | 113 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 113 | 113 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 114 | 114 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 114 | 114 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 114 | 114 | validation | 0.0407330 | 0 | 1.000000 |
6 | Male | 115 | 115 | testing | 0.1221990 | 0 | 3.000000 |
6 | Male | 115 | 115 | training | 0.1990645 | 1 | 4.887058 |
6 | Male | 115 | 115 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 116 | 116 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 116 | 116 | training | 0.2036650 | 0 | 5.000000 |
6 | Male | 116 | 116 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 117 | 117 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 117 | 117 | training | 0.0814660 | 0 | 2.000000 |
6 | Male | 117 | 117 | validation | 0.0814660 | 0 | 2.000000 |
6 | Male | 118 | 118 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 118 | 118 | training | 0.1629320 | 0 | 4.000000 |
6 | Male | 119 | 119 | testing | 0.2851310 | 0 | 7.000000 |
6 | Male | 119 | 119 | training | 0.1629320 | 0 | 4.000000 |
6 | Male | 120 | 120 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 120 | 120 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 121 | 121 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 121 | 121 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 122 | 122 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 123 | 123 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 123 | 123 | training | 0.0814660 | 0 | 2.000000 |
6 | Male | 124 | 124 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 124 | 124 | training | 0.0814660 | 0 | 2.000000 |
6 | Male | 125 | 125 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 125 | 125 | training | 0.0814660 | 0 | 2.000000 |
6 | Male | 126 | 126 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 126 | 126 | training | 0.1221990 | 0 | 3.000000 |
6 | Male | 127 | 127 | testing | 0.0608066 | 0 | 1.492810 |
6 | Male | 127 | 127 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 128 | 128 | testing | 0.0254266 | 1 | 0.624226 |
6 | Male | 128 | 128 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 129 | 129 | testing | 0.0093677 | 1 | 0.229978 |
6 | Male | 129 | 129 | training | 0.0501007 | 1 | 1.229978 |
6 | Male | 130 | 130 | testing | 0.1629320 | 0 | 4.000000 |
6 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 131 | 131 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 131 | 131 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 132 | 132 | training | 0.0814660 | 0 | 2.000000 |
6 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 135 | 135 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 135 | 135 | training | 0.0501007 | 1 | 1.229978 |
6 | Male | 136 | 136 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 137 | 137 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 138 | 138 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 139 | 139 | testing | 0.0814660 | 0 | 2.000000 |
6 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 141 | 141 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 141 | 141 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 142 | 142 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 142 | 142 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 143 | 143 | training | 0.0407330 | 0 | 1.000000 |
6 | Male | 144 | 144 | testing | 0.0407330 | 0 | 1.000000 |
6 | Male | 144 | 144 | training | 0.0120442 | 1 | 0.295686 |
7 | Female | 1 | 1 | testing | 3.2361413 | 4 | 25.365386 |
7 | Female | 1 | 1 | training | 16.8445378 | 17 | 132.030144 |
7 | Female | 1 | 1 | validation | 6.9962259 | 7 | 54.837522 |
7 | Female | 2 | 2 | testing | 8.1397436 | 5 | 74.022568 |
7 | Female | 2 | 2 | training | 37.0250053 | 23 | 336.704212 |
7 | Female | 2 | 2 | validation | 12.8643092 | 11 | 116.987616 |
7 | Female | 3 | 3 | testing | 9.8987541 | 12 | 119.203214 |
7 | Female | 3 | 3 | training | 38.3286039 | 28 | 461.562408 |
7 | Female | 3 | 3 | validation | 13.1482660 | 7 | 158.334630 |
7 | Female | 4 | 4 | testing | 14.2405978 | 8 | 266.927794 |
7 | Female | 4 | 4 | training | 59.3161089 | 50 | 1111.829596 |
7 | Female | 4 | 4 | validation | 19.3326030 | 21 | 362.373064 |
7 | Female | 5 | 5 | testing | 11.3045367 | 11 | 287.318254 |
7 | Female | 5 | 5 | training | 44.6163380 | 30 | 1133.977330 |
7 | Female | 5 | 5 | validation | 14.6192920 | 7 | 371.566706 |
7 | Female | 6 | 6 | testing | 8.8670962 | 8 | 258.613940 |
7 | Female | 6 | 6 | training | 39.2105946 | 42 | 1143.599458 |
7 | Female | 6 | 6 | validation | 12.1391456 | 9 | 354.045136 |
7 | Female | 7 | 7 | testing | 8.0973560 | 6 | 269.956860 |
7 | Female | 7 | 7 | training | 32.8342361 | 31 | 1094.656978 |
7 | Female | 7 | 7 | validation | 11.6512393 | 17 | 388.439384 |
7 | Female | 8 | 8 | testing | 6.9032578 | 6 | 259.872678 |
7 | Female | 8 | 8 | training | 27.9931081 | 30 | 1053.798680 |
7 | Female | 8 | 8 | validation | 9.7090598 | 6 | 365.496904 |
7 | Female | 9 | 9 | testing | 6.1357869 | 2 | 250.215598 |
7 | Female | 9 | 9 | training | 27.0897085 | 22 | 1104.710404 |
7 | Female | 9 | 9 | validation | 8.3275600 | 5 | 339.595466 |
7 | Female | 10 | 10 | testing | 12.2117824 | 14 | 513.618034 |
7 | Female | 10 | 10 | training | 19.9820422 | 18 | 840.429098 |
7 | Female | 10 | 10 | validation | 6.7299257 | 5 | 283.055422 |
7 | Female | 11 | 11 | testing | 11.5813509 | 8 | 493.811064 |
7 | Female | 11 | 11 | training | 19.3389962 | 11 | 824.585180 |
7 | Female | 11 | 11 | validation | 6.4178383 | 5 | 273.646794 |
7 | Female | 12 | 12 | testing | 11.5081402 | 11 | 493.848012 |
7 | Female | 12 | 12 | training | 19.4100586 | 8 | 832.942480 |
7 | Female | 12 | 12 | validation | 6.5483338 | 6 | 281.008188 |
7 | Female | 13 | 13 | testing | 6.2719662 | 4 | 272.102656 |
7 | Female | 13 | 13 | training | 18.3727420 | 18 | 797.082084 |
7 | Female | 13 | 13 | validation | 6.2303156 | 2 | 270.295686 |
7 | Female | 14 | 14 | testing | 5.6858864 | 4 | 254.675554 |
7 | Female | 14 | 14 | training | 18.2197572 | 13 | 816.077990 |
7 | Female | 14 | 14 | validation | 5.7623999 | 6 | 258.102656 |
7 | Female | 15 | 15 | testing | 5.7389380 | 4 | 270.576992 |
7 | Female | 15 | 15 | training | 16.6051213 | 8 | 782.891152 |
7 | Female | 15 | 15 | validation | 5.6290120 | 3 | 265.394248 |
7 | Female | 16 | 16 | testing | 5.1185905 | 5 | 254.036948 |
7 | Female | 16 | 16 | training | 15.8146471 | 13 | 784.884960 |
7 | Female | 16 | 16 | validation | 4.7120108 | 5 | 233.858298 |
7 | Female | 17 | 17 | testing | 4.1162078 | 7 | 212.055422 |
7 | Female | 17 | 17 | training | 14.3064245 | 13 | 737.026662 |
7 | Female | 17 | 17 | validation | 4.5980150 | 5 | 236.876772 |
7 | Female | 18 | 18 | testing | 4.2550299 | 2 | 223.689934 |
7 | Female | 18 | 18 | training | 14.3527429 | 10 | 754.533852 |
7 | Female | 18 | 18 | validation | 4.6842159 | 9 | 246.252546 |
7 | Female | 19 | 19 | testing | 4.1853680 | 2 | 220.887058 |
7 | Female | 19 | 19 | training | 13.9714064 | 10 | 737.355202 |
7 | Female | 19 | 19 | validation | 4.4385397 | 3 | 234.248452 |
7 | Female | 20 | 20 | testing | 4.6637912 | 5 | 244.318254 |
7 | Female | 20 | 20 | training | 13.7467449 | 10 | 720.139604 |
7 | Female | 20 | 20 | validation | 4.2465381 | 5 | 222.459956 |
7 | Female | 21 | 21 | testing | 4.6122930 | 1 | 238.361394 |
7 | Female | 21 | 21 | training | 13.6575233 | 12 | 705.815158 |
7 | Female | 21 | 21 | validation | 4.2532649 | 5 | 219.806970 |
7 | Female | 22 | 22 | testing | 7.8119513 | 4 | 397.069802 |
7 | Female | 22 | 22 | training | 10.6840724 | 6 | 543.055422 |
7 | Female | 22 | 22 | validation | 3.6920459 | 4 | 187.661174 |
7 | Female | 23 | 23 | testing | 8.1123547 | 6 | 405.435290 |
7 | Female | 23 | 23 | training | 12.1243031 | 11 | 605.942480 |
7 | Female | 23 | 23 | validation | 3.3500489 | 1 | 167.427102 |
7 | Female | 24 | 24 | testing | 7.8099226 | 8 | 385.256640 |
7 | Female | 24 | 24 | training | 11.8862182 | 12 | 586.336728 |
7 | Female | 24 | 24 | validation | 3.4114816 | 4 | 168.285400 |
7 | Female | 25 | 25 | testing | 3.3916766 | 2 | 166.609846 |
7 | Female | 25 | 25 | training | 11.5806244 | 5 | 568.876772 |
7 | Female | 25 | 25 | validation | 3.7898294 | 2 | 186.168364 |
7 | Female | 26 | 26 | testing | 3.4412229 | 5 | 170.004094 |
7 | Female | 26 | 26 | training | 10.5930081 | 6 | 523.318254 |
7 | Female | 26 | 26 | validation | 3.5380687 | 2 | 174.788496 |
7 | Female | 27 | 27 | testing | 3.4005100 | 0 | 170.000000 |
7 | Female | 27 | 27 | training | 10.8221563 | 9 | 541.026662 |
7 | Female | 27 | 27 | validation | 3.2845989 | 6 | 164.205312 |
7 | Female | 28 | 28 | testing | 2.9889976 | 1 | 151.295686 |
7 | Female | 28 | 28 | training | 9.8778777 | 8 | 499.993808 |
7 | Female | 28 | 28 | validation | 3.3407921 | 2 | 169.102656 |
7 | Female | 29 | 29 | testing | 2.8724693 | 5 | 146.576992 |
7 | Female | 29 | 29 | training | 10.1174434 | 13 | 516.275114 |
7 | Female | 29 | 29 | validation | 2.9238963 | 3 | 149.201218 |
7 | Female | 30 | 30 | testing | 3.0013410 | 3 | 153.427102 |
7 | Female | 30 | 30 | training | 9.6760794 | 8 | 494.636508 |
7 | Female | 30 | 30 | validation | 3.3409646 | 0 | 170.788496 |
7 | Female | 31 | 31 | testing | 3.1969972 | 1 | 162.821350 |
7 | Female | 31 | 31 | training | 9.4250412 | 10 | 480.012282 |
7 | Female | 31 | 31 | validation | 3.1880464 | 2 | 162.365488 |
7 | Female | 32 | 32 | testing | 2.8282540 | 0 | 143.000000 |
7 | Female | 32 | 32 | training | 9.9510951 | 8 | 503.139604 |
7 | Female | 32 | 32 | validation | 3.1161924 | 2 | 157.558518 |
7 | Female | 33 | 33 | testing | 2.9546720 | 1 | 148.000000 |
7 | Female | 33 | 33 | training | 9.3986162 | 5 | 470.778210 |
7 | Female | 33 | 33 | validation | 3.3684635 | 5 | 168.726882 |
7 | Female | 34 | 34 | testing | 5.1209283 | 4 | 253.825444 |
7 | Female | 34 | 34 | training | 7.4909731 | 2 | 371.299780 |
7 | Female | 34 | 34 | validation | 2.4442816 | 3 | 121.153984 |
7 | Female | 35 | 35 | testing | 4.9692977 | 5 | 243.581086 |
7 | Female | 35 | 35 | training | 7.6835944 | 6 | 376.628320 |
7 | Female | 35 | 35 | validation | 2.7049966 | 2 | 132.591372 |
7 | Female | 36 | 36 | testing | 4.6677606 | 10 | 226.195026 |
7 | Female | 36 | 36 | training | 7.6027339 | 9 | 368.420910 |
7 | Female | 36 | 36 | validation | 2.4371664 | 4 | 118.102656 |
7 | Female | 37 | 37 | testing | 1.6825867 | 1 | 80.591372 |
7 | Female | 37 | 37 | training | 6.7552109 | 13 | 323.556420 |
7 | Female | 37 | 37 | validation | 2.3955681 | 3 | 114.741262 |
7 | Female | 38 | 38 | testing | 2.0068750 | 0 | 95.000000 |
7 | Female | 38 | 38 | training | 7.2179826 | 5 | 341.679648 |
7 | Female | 38 | 38 | validation | 2.3390189 | 1 | 110.722788 |
7 | Female | 39 | 39 | testing | 1.9127804 | 4 | 89.478430 |
7 | Female | 39 | 39 | training | 6.7738748 | 7 | 316.876772 |
7 | Female | 39 | 39 | validation | 2.4030468 | 2 | 112.412722 |
7 | Female | 40 | 40 | testing | 1.9168082 | 3 | 88.609846 |
7 | Female | 40 | 40 | training | 7.1734728 | 5 | 331.613940 |
7 | Female | 40 | 40 | validation | 2.4530329 | 4 | 113.398342 |
7 | Female | 41 | 41 | testing | 2.0345142 | 2 | 92.938386 |
7 | Female | 41 | 41 | training | 6.8550287 | 8 | 313.143698 |
7 | Female | 41 | 41 | validation | 2.1127285 | 0 | 96.511284 |
7 | Female | 42 | 42 | testing | 2.1282343 | 3 | 96.069802 |
7 | Female | 42 | 42 | training | 5.8630390 | 3 | 264.661174 |
7 | Female | 42 | 42 | validation | 2.2814404 | 2 | 102.985620 |
7 | Female | 43 | 43 | testing | 1.9030830 | 1 | 84.887058 |
7 | Female | 43 | 43 | training | 6.7615605 | 4 | 301.599560 |
7 | Female | 43 | 43 | validation | 1.9255020 | 2 | 85.887058 |
7 | Female | 44 | 44 | testing | 1.9281537 | 0 | 84.985620 |
7 | Female | 44 | 44 | training | 6.4275983 | 4 | 283.303874 |
7 | Female | 44 | 44 | validation | 2.2023197 | 2 | 97.069802 |
7 | Female | 45 | 45 | testing | 1.7781504 | 0 | 77.445576 |
7 | Female | 45 | 45 | training | 6.1217862 | 4 | 266.628320 |
7 | Female | 45 | 45 | validation | 2.0514074 | 2 | 89.347014 |
7 | Female | 46 | 46 | testing | 3.1109997 | 1 | 133.887058 |
7 | Female | 46 | 46 | training | 5.0659724 | 7 | 218.022568 |
7 | Female | 46 | 46 | validation | 1.8505778 | 4 | 79.642700 |
7 | Female | 47 | 47 | testing | 3.0574807 | 6 | 130.022568 |
7 | Female | 47 | 47 | training | 5.0825228 | 8 | 216.139604 |
7 | Female | 47 | 47 | validation | 1.9309821 | 1 | 82.117036 |
7 | Female | 48 | 48 | testing | 3.2655542 | 2 | 137.219692 |
7 | Female | 48 | 48 | training | 4.8326551 | 3 | 203.069802 |
7 | Female | 48 | 48 | validation | 1.8800420 | 1 | 79.000000 |
7 | Female | 49 | 49 | testing | 1.4375724 | 2 | 59.689934 |
7 | Female | 49 | 49 | training | 5.0079881 | 4 | 207.938386 |
7 | Female | 49 | 49 | validation | 1.7257891 | 1 | 71.657080 |
7 | Female | 50 | 50 | testing | 1.2542335 | 0 | 51.459956 |
7 | Female | 50 | 50 | training | 4.5974380 | 4 | 188.628320 |
7 | Female | 50 | 50 | validation | 1.6286368 | 1 | 66.821350 |
7 | Female | 51 | 51 | testing | 1.5673797 | 3 | 63.544138 |
7 | Female | 51 | 51 | training | 4.5358592 | 5 | 183.891152 |
7 | Female | 51 | 51 | validation | 1.2871396 | 3 | 52.182744 |
7 | Female | 52 | 52 | testing | 1.2861836 | 0 | 51.525664 |
7 | Female | 52 | 52 | training | 4.7365258 | 6 | 189.749450 |
7 | Female | 52 | 52 | validation | 1.5059210 | 1 | 60.328540 |
7 | Female | 53 | 53 | testing | 1.5380680 | 1 | 60.887058 |
7 | Female | 53 | 53 | training | 4.6245263 | 5 | 183.069802 |
7 | Female | 53 | 53 | validation | 1.2419386 | 1 | 49.164270 |
7 | Female | 54 | 54 | testing | 0.9509073 | 1 | 37.197124 |
7 | Female | 54 | 54 | training | 4.2207890 | 5 | 165.106750 |
7 | Female | 54 | 54 | validation | 1.3373592 | 4 | 52.314160 |
7 | Female | 55 | 55 | testing | 1.3194210 | 0 | 51.000000 |
7 | Female | 55 | 55 | training | 3.9524192 | 2 | 152.774116 |
7 | Female | 55 | 55 | validation | 1.2843063 | 1 | 49.642700 |
7 | Female | 56 | 56 | testing | 1.4683252 | 0 | 56.755642 |
7 | Female | 56 | 56 | training | 4.1983797 | 6 | 162.281306 |
7 | Female | 56 | 56 | validation | 1.3461420 | 1 | 52.032854 |
7 | Female | 57 | 57 | testing | 1.2456858 | 2 | 48.149890 |
7 | Female | 57 | 57 | training | 3.6038246 | 4 | 139.299780 |
7 | Female | 57 | 57 | validation | 1.2418080 | 0 | 48.000000 |
7 | Female | 58 | 58 | testing | 1.9013325 | 2 | 73.492810 |
7 | Female | 58 | 58 | training | 2.8284387 | 0 | 109.328540 |
7 | Female | 58 | 58 | validation | 0.9572270 | 0 | 37.000000 |
7 | Female | 59 | 59 | testing | 1.9603522 | 1 | 75.774116 |
7 | Female | 59 | 59 | training | 3.3378369 | 3 | 129.018474 |
7 | Female | 59 | 59 | validation | 0.9313560 | 0 | 36.000000 |
7 | Female | 60 | 60 | testing | 1.8403468 | 4 | 71.135510 |
7 | Female | 60 | 60 | training | 3.2386028 | 2 | 125.182744 |
7 | Female | 60 | 60 | validation | 0.9572270 | 0 | 37.000000 |
7 | Female | 61 | 61 | testing | 0.8758421 | 1 | 33.854204 |
7 | Female | 61 | 61 | training | 2.8568596 | 2 | 110.427102 |
7 | Female | 61 | 61 | validation | 1.0348400 | 0 | 40.000000 |
7 | Female | 62 | 62 | testing | 0.8304219 | 2 | 32.098562 |
7 | Female | 62 | 62 | training | 3.0762050 | 2 | 118.905532 |
7 | Female | 62 | 62 | validation | 1.0433397 | 0 | 40.328540 |
7 | Female | 63 | 63 | testing | 0.6794457 | 1 | 26.262832 |
7 | Female | 63 | 63 | training | 2.5307361 | 4 | 97.821350 |
7 | Female | 63 | 63 | validation | 0.8363717 | 0 | 32.328540 |
7 | Female | 64 | 64 | testing | 0.7579087 | 0 | 29.295686 |
7 | Female | 64 | 64 | training | 2.6791624 | 1 | 103.558518 |
7 | Female | 64 | 64 | validation | 0.6467750 | 0 | 25.000000 |
7 | Female | 65 | 65 | testing | 0.7604586 | 0 | 29.394248 |
7 | Female | 65 | 65 | training | 2.3814599 | 2 | 92.051328 |
7 | Female | 65 | 65 | validation | 0.9224843 | 1 | 35.657080 |
7 | Female | 66 | 66 | testing | 0.8241001 | 1 | 31.854204 |
7 | Female | 66 | 66 | training | 2.2304837 | 2 | 86.215598 |
7 | Female | 66 | 66 | validation | 0.7888795 | 1 | 30.492810 |
7 | Female | 67 | 67 | testing | 0.6430031 | 1 | 24.854204 |
7 | Female | 67 | 67 | training | 2.4985434 | 3 | 96.576992 |
7 | Female | 67 | 67 | validation | 1.0348400 | 0 | 40.000000 |
7 | Female | 68 | 68 | testing | 0.7243880 | 0 | 28.000000 |
7 | Female | 68 | 68 | training | 2.4645447 | 1 | 95.262832 |
7 | Female | 68 | 68 | validation | 0.8647926 | 0 | 33.427102 |
7 | Female | 69 | 69 | testing | 0.7243880 | 0 | 28.000000 |
7 | Female | 69 | 69 | training | 2.0807296 | 2 | 80.427102 |
7 | Female | 69 | 69 | validation | 0.7243880 | 0 | 28.000000 |
7 | Female | 70 | 70 | testing | 1.0518393 | 2 | 40.657080 |
7 | Female | 70 | 70 | training | 1.9598742 | 1 | 75.755642 |
7 | Female | 70 | 70 | validation | 0.4568063 | 1 | 17.657080 |
7 | Female | 71 | 71 | testing | 1.1641950 | 0 | 45.000000 |
7 | Female | 71 | 71 | training | 2.2635265 | 1 | 87.492810 |
7 | Female | 71 | 71 | validation | 0.5174200 | 0 | 20.000000 |
7 | Female | 72 | 72 | testing | 1.1095311 | 1 | 42.887058 |
7 | Female | 72 | 72 | training | 2.0175660 | 1 | 77.985620 |
7 | Female | 72 | 72 | validation | 0.5543406 | 1 | 21.427102 |
7 | Female | 73 | 73 | testing | 0.5432910 | 0 | 21.000000 |
7 | Female | 73 | 73 | training | 1.5840808 | 0 | 61.229978 |
7 | Female | 73 | 73 | validation | 0.4656780 | 0 | 18.000000 |
7 | Female | 74 | 74 | testing | 0.6726460 | 0 | 26.000000 |
7 | Female | 74 | 74 | training | 1.8894330 | 0 | 73.032854 |
7 | Female | 74 | 74 | validation | 0.6680241 | 0 | 25.821350 |
7 | Female | 75 | 75 | testing | 0.3621940 | 0 | 14.000000 |
7 | Female | 75 | 75 | training | 2.1325775 | 2 | 82.431196 |
7 | Female | 75 | 75 | validation | 0.7502590 | 0 | 29.000000 |
7 | Female | 76 | 76 | testing | 0.5386691 | 1 | 20.821350 |
7 | Female | 76 | 76 | training | 1.9263535 | 1 | 74.459956 |
7 | Female | 76 | 76 | validation | 0.4915490 | 0 | 19.000000 |
7 | Female | 77 | 77 | testing | 0.3621940 | 0 | 14.000000 |
7 | Female | 77 | 77 | training | 1.8258974 | 2 | 70.576992 |
7 | Female | 77 | 77 | validation | 0.6111824 | 0 | 23.624226 |
7 | Female | 78 | 78 | testing | 0.4067642 | 0 | 15.722788 |
7 | Female | 78 | 78 | training | 1.8275973 | 3 | 70.642700 |
7 | Female | 78 | 78 | validation | 0.3880650 | 0 | 15.000000 |
7 | Female | 79 | 79 | testing | 0.3533223 | 1 | 13.657080 |
7 | Female | 79 | 79 | training | 1.6303509 | 3 | 63.018474 |
7 | Female | 79 | 79 | validation | 0.5691620 | 0 | 22.000000 |
7 | Female | 80 | 80 | testing | 0.3448227 | 1 | 13.328540 |
7 | Female | 80 | 80 | training | 1.6557440 | 0 | 64.000000 |
7 | Female | 80 | 80 | validation | 0.5432910 | 0 | 21.000000 |
7 | Female | 81 | 81 | testing | 0.4004425 | 2 | 15.478430 |
7 | Female | 81 | 81 | training | 1.4594535 | 2 | 56.412722 |
7 | Female | 81 | 81 | validation | 0.4656780 | 0 | 18.000000 |
7 | Female | 82 | 82 | testing | 0.6209040 | 0 | 24.000000 |
7 | Female | 82 | 82 | training | 1.1027314 | 1 | 42.624226 |
7 | Female | 82 | 82 | validation | 0.4139360 | 0 | 16.000000 |
7 | Female | 83 | 83 | testing | 0.6336535 | 3 | 24.492810 |
7 | Female | 83 | 83 | training | 1.1998936 | 2 | 46.379868 |
7 | Female | 83 | 83 | validation | 0.2845810 | 0 | 11.000000 |
7 | Female | 84 | 84 | testing | 0.8278720 | 0 | 32.000000 |
7 | Female | 84 | 84 | training | 0.9250342 | 0 | 35.755642 |
7 | Female | 84 | 84 | validation | 0.4656780 | 0 | 18.000000 |
7 | Female | 85 | 85 | testing | 0.3621940 | 0 | 14.000000 |
7 | Female | 85 | 85 | training | 1.1820443 | 2 | 45.689934 |
7 | Female | 85 | 85 | validation | 0.2723095 | 1 | 10.525664 |
7 | Female | 86 | 86 | testing | 0.2845810 | 0 | 11.000000 |
7 | Female | 86 | 86 | training | 0.9054850 | 0 | 35.000000 |
7 | Female | 86 | 86 | validation | 0.3363230 | 0 | 13.000000 |
7 | Female | 87 | 87 | testing | 0.3104520 | 0 | 12.000000 |
7 | Female | 87 | 87 | training | 1.0607110 | 0 | 41.000000 |
7 | Female | 87 | 87 | validation | 0.3621940 | 0 | 14.000000 |
7 | Female | 88 | 88 | testing | 0.2629598 | 0 | 10.164270 |
7 | Female | 88 | 88 | training | 0.8932135 | 1 | 34.525664 |
7 | Female | 88 | 88 | validation | 0.2845810 | 0 | 11.000000 |
7 | Female | 89 | 89 | testing | 0.3880650 | 0 | 15.000000 |
7 | Female | 89 | 89 | training | 0.7430872 | 1 | 28.722788 |
7 | Female | 89 | 89 | validation | 0.2740094 | 1 | 10.591372 |
7 | Female | 90 | 90 | testing | 0.4139360 | 0 | 16.000000 |
7 | Female | 90 | 90 | training | 0.9830980 | 1 | 38.000000 |
7 | Female | 90 | 90 | validation | 0.3880650 | 1 | 15.000000 |
7 | Female | 91 | 91 | testing | 0.2587100 | 0 | 10.000000 |
7 | Female | 91 | 91 | training | 1.0348400 | 0 | 40.000000 |
7 | Female | 91 | 91 | validation | 0.3363230 | 0 | 13.000000 |
7 | Female | 92 | 92 | testing | 0.3363230 | 0 | 13.000000 |
7 | Female | 92 | 92 | training | 0.9577049 | 2 | 37.018474 |
7 | Female | 92 | 92 | validation | 0.3880650 | 0 | 15.000000 |
7 | Female | 93 | 93 | testing | 0.3104520 | 0 | 12.000000 |
7 | Female | 93 | 93 | training | 0.8681924 | 1 | 33.558518 |
7 | Female | 93 | 93 | validation | 0.3507724 | 1 | 13.558518 |
7 | Female | 94 | 94 | testing | 0.5950330 | 1 | 23.000000 |
7 | Female | 94 | 94 | training | 0.4593562 | 2 | 17.755642 |
7 | Female | 94 | 94 | validation | 0.2328390 | 0 | 9.000000 |
7 | Female | 95 | 95 | testing | 0.6209040 | 1 | 24.000000 |
7 | Female | 95 | 95 | training | 0.4466067 | 1 | 17.262832 |
7 | Female | 95 | 95 | validation | 0.2489884 | 2 | 9.624226 |
7 | Female | 96 | 96 | testing | 0.5174200 | 0 | 20.000000 |
7 | Female | 96 | 96 | training | 0.4915490 | 0 | 19.000000 |
7 | Female | 96 | 96 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 97 | 97 | testing | 0.2587100 | 0 | 10.000000 |
7 | Female | 97 | 97 | training | 0.5950330 | 0 | 23.000000 |
7 | Female | 97 | 97 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 98 | 98 | testing | 0.2587100 | 0 | 10.000000 |
7 | Female | 98 | 98 | training | 0.3363230 | 0 | 13.000000 |
7 | Female | 98 | 98 | validation | 0.1293550 | 0 | 5.000000 |
7 | Female | 99 | 99 | testing | 0.2587100 | 0 | 10.000000 |
7 | Female | 99 | 99 | training | 0.5551905 | 1 | 21.459956 |
7 | Female | 99 | 99 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 100 | 100 | testing | 0.2256672 | 1 | 8.722788 |
7 | Female | 100 | 100 | training | 0.6985170 | 0 | 27.000000 |
7 | Female | 100 | 100 | validation | 0.2069680 | 0 | 8.000000 |
7 | Female | 101 | 101 | testing | 0.1810970 | 0 | 7.000000 |
7 | Female | 101 | 101 | training | 0.5174200 | 0 | 20.000000 |
7 | Female | 101 | 101 | validation | 0.1713754 | 1 | 6.624226 |
7 | Female | 102 | 102 | testing | 0.2438886 | 1 | 9.427102 |
7 | Female | 102 | 102 | training | 0.6387533 | 0 | 24.689934 |
7 | Female | 102 | 102 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 103 | 103 | testing | 0.2845810 | 0 | 11.000000 |
7 | Female | 103 | 103 | training | 0.4398070 | 0 | 17.000000 |
7 | Female | 103 | 103 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 104 | 104 | testing | 0.1810970 | 0 | 7.000000 |
7 | Female | 104 | 104 | training | 0.3104520 | 0 | 12.000000 |
7 | Female | 104 | 104 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 105 | 105 | testing | 0.1230332 | 0 | 4.755642 |
7 | Female | 105 | 105 | training | 0.3621940 | 0 | 14.000000 |
7 | Female | 105 | 105 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 106 | 106 | testing | 0.3621940 | 0 | 14.000000 |
7 | Female | 106 | 106 | training | 0.2587100 | 0 | 10.000000 |
7 | Female | 106 | 106 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 107 | 107 | testing | 0.3363230 | 0 | 13.000000 |
7 | Female | 107 | 107 | training | 0.3257514 | 1 | 12.591372 |
7 | Female | 107 | 107 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 108 | 108 | testing | 0.2905308 | 1 | 11.229978 |
7 | Female | 108 | 108 | training | 0.2879809 | 1 | 11.131416 |
7 | Female | 108 | 108 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 109 | 109 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 109 | 109 | training | 0.3249014 | 0 | 12.558518 |
7 | Female | 109 | 109 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 110 | 110 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 110 | 110 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 110 | 110 | validation | 0.1552260 | 0 | 6.000000 |
7 | Female | 111 | 111 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 111 | 111 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 111 | 111 | validation | 0.1293550 | 0 | 5.000000 |
7 | Female | 112 | 112 | testing | 0.1552260 | 0 | 6.000000 |
7 | Female | 112 | 112 | training | 0.3363230 | 0 | 13.000000 |
7 | Female | 112 | 112 | validation | 0.1034840 | 0 | 4.000000 |
7 | Female | 113 | 113 | testing | 0.1293550 | 0 | 5.000000 |
7 | Female | 113 | 113 | training | 0.3507724 | 1 | 13.558518 |
7 | Female | 113 | 113 | validation | 0.1034840 | 0 | 4.000000 |
7 | Female | 114 | 114 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 114 | 114 | training | 0.2845810 | 0 | 11.000000 |
7 | Female | 114 | 114 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 115 | 115 | testing | 0.1293550 | 0 | 5.000000 |
7 | Female | 115 | 115 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 115 | 115 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 116 | 116 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 116 | 116 | training | 0.2069680 | 0 | 8.000000 |
7 | Female | 116 | 116 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 117 | 117 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 117 | 117 | training | 0.3104520 | 0 | 12.000000 |
7 | Female | 117 | 117 | validation | 0.0542919 | 1 | 2.098562 |
7 | Female | 118 | 118 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 118 | 118 | training | 0.2069680 | 0 | 8.000000 |
7 | Female | 118 | 118 | validation | 0.1034840 | 0 | 4.000000 |
7 | Female | 119 | 119 | testing | 0.1293550 | 0 | 5.000000 |
7 | Female | 119 | 119 | training | 0.1679755 | 1 | 6.492810 |
7 | Female | 119 | 119 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 120 | 120 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 120 | 120 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 120 | 120 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 121 | 121 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 121 | 121 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 121 | 121 | validation | 0.1293550 | 0 | 5.000000 |
7 | Female | 122 | 122 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 122 | 122 | training | 0.2069680 | 0 | 8.000000 |
7 | Female | 122 | 122 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 123 | 123 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 123 | 123 | training | 0.2069680 | 0 | 8.000000 |
7 | Female | 124 | 124 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 124 | 124 | training | 0.2587100 | 0 | 10.000000 |
7 | Female | 124 | 124 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 125 | 125 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 125 | 125 | training | 0.1034840 | 0 | 4.000000 |
7 | Female | 125 | 125 | validation | 0.0776130 | 0 | 3.000000 |
7 | Female | 126 | 126 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 126 | 126 | training | 0.2069680 | 0 | 8.000000 |
7 | Female | 126 | 126 | validation | 0.0738411 | 1 | 2.854204 |
7 | Female | 127 | 127 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 127 | 127 | training | 0.1060339 | 1 | 4.098562 |
7 | Female | 128 | 128 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 128 | 128 | training | 0.0776130 | 0 | 3.000000 |
7 | Female | 129 | 129 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 129 | 129 | training | 0.1810970 | 0 | 7.000000 |
7 | Female | 129 | 129 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 130 | 130 | testing | 0.1293550 | 0 | 5.000000 |
7 | Female | 130 | 130 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 130 | 130 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 131 | 131 | testing | 0.1810970 | 0 | 7.000000 |
7 | Female | 131 | 131 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 132 | 132 | testing | 0.1293550 | 0 | 5.000000 |
7 | Female | 132 | 132 | training | 0.0776130 | 0 | 3.000000 |
7 | Female | 132 | 132 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 133 | 133 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 133 | 133 | training | 0.1034840 | 0 | 4.000000 |
7 | Female | 134 | 134 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 134 | 134 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 135 | 135 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 135 | 135 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 136 | 136 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 136 | 136 | training | 0.0776130 | 0 | 3.000000 |
7 | Female | 137 | 137 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 137 | 137 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 138 | 138 | testing | 0.0776130 | 0 | 3.000000 |
7 | Female | 138 | 138 | training | 0.0776130 | 0 | 3.000000 |
7 | Female | 139 | 139 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 139 | 139 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 139 | 139 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 140 | 140 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 141 | 141 | testing | 0.1810970 | 0 | 7.000000 |
7 | Female | 141 | 141 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 141 | 141 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 142 | 142 | testing | 0.0903625 | 1 | 3.492810 |
7 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 142 | 142 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 143 | 143 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 143 | 143 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 144 | 144 | testing | 0.1034840 | 0 | 4.000000 |
7 | Female | 144 | 144 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 144 | 144 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 145 | 145 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 145 | 145 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 146 | 146 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 146 | 146 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 147 | 147 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 147 | 147 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 148 | 148 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 148 | 148 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 149 | 149 | training | 0.0517420 | 0 | 2.000000 |
7 | Female | 149 | 149 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 150 | 150 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 151 | 151 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 152 | 152 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 152 | 152 | validation | 0.0517420 | 0 | 2.000000 |
7 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 153 | 153 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 153 | 153 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 154 | 154 | training | 0.0258710 | 0 | 1.000000 |
7 | Female | 155 | 155 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 156 | 156 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 157 | 157 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 158 | 158 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 159 | 159 | testing | 0.0517420 | 0 | 2.000000 |
7 | Female | 159 | 159 | validation | 0.0258710 | 0 | 1.000000 |
7 | Female | 160 | 161 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 160 | 161 | validation | 0.0008500 | 1 | 0.032854 |
7 | Female | 160 | 163 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 160 | 164 | testing | 0.0386205 | 1 | 1.492810 |
7 | Female | 160 | 165 | testing | 0.0258710 | 0 | 1.000000 |
7 | Female | 160 | 166 | testing | 0.0258710 | 0 | 1.000000 |
7 | Male | 1 | 1 | testing | 5.2165683 | 2 | 24.277110 |
7 | Male | 1 | 1 | training | 15.2468605 | 11 | 70.956554 |
7 | Male | 1 | 1 | validation | 4.1492478 | 1 | 19.309964 |
7 | Male | 2 | 2 | testing | 4.4660855 | 2 | 37.149890 |
7 | Male | 2 | 2 | training | 18.1701931 | 7 | 151.143698 |
7 | Male | 2 | 2 | validation | 7.8072551 | 4 | 64.942480 |
7 | Male | 3 | 3 | testing | 6.0827598 | 3 | 62.486618 |
7 | Male | 3 | 3 | training | 24.0551994 | 12 | 247.112840 |
7 | Male | 3 | 3 | validation | 8.2659261 | 6 | 84.913720 |
7 | Male | 4 | 4 | testing | 11.7279099 | 8 | 155.032650 |
7 | Male | 4 | 4 | training | 46.0229528 | 30 | 608.382942 |
7 | Male | 4 | 4 | validation | 13.5763830 | 12 | 179.467838 |
7 | Male | 5 | 5 | testing | 8.7007267 | 10 | 140.683742 |
7 | Male | 5 | 5 | training | 37.9334361 | 29 | 613.353104 |
7 | Male | 5 | 5 | validation | 11.7936629 | 6 | 190.694028 |
7 | Male | 6 | 6 | testing | 7.0845126 | 4 | 131.036948 |
7 | Male | 6 | 6 | training | 31.4197554 | 17 | 581.147792 |
7 | Male | 6 | 6 | validation | 10.3382926 | 4 | 191.219692 |
7 | Male | 7 | 7 | testing | 6.7584595 | 1 | 136.985620 |
7 | Male | 7 | 7 | training | 29.5659288 | 28 | 599.264828 |
7 | Male | 7 | 7 | validation | 9.4464638 | 11 | 191.468144 |
7 | Male | 8 | 8 | testing | 6.8986527 | 6 | 149.318254 |
7 | Male | 8 | 8 | training | 26.2043130 | 13 | 567.180646 |
7 | Male | 8 | 8 | validation | 8.7026739 | 7 | 188.365488 |
7 | Male | 9 | 9 | testing | 5.9092511 | 3 | 133.905532 |
7 | Male | 9 | 9 | training | 24.1947462 | 21 | 548.260734 |
7 | Male | 9 | 9 | validation | 7.6410121 | 12 | 173.147792 |
7 | Male | 10 | 10 | testing | 10.1373403 | 5 | 237.464050 |
7 | Male | 10 | 10 | training | 19.5621873 | 17 | 458.238166 |
7 | Male | 10 | 10 | validation | 5.5336582 | 2 | 129.624226 |
7 | Male | 11 | 11 | testing | 10.0082687 | 8 | 240.942480 |
7 | Male | 11 | 11 | training | 17.5605939 | 8 | 422.759736 |
7 | Male | 11 | 11 | validation | 5.8004785 | 7 | 139.642700 |
7 | Male | 12 | 12 | testing | 8.8871789 | 11 | 219.490712 |
7 | Male | 12 | 12 | training | 16.8320334 | 7 | 415.708408 |
7 | Male | 12 | 12 | validation | 5.0772131 | 2 | 125.394248 |
7 | Male | 13 | 13 | testing | 4.5389283 | 4 | 115.069802 |
7 | Male | 13 | 13 | training | 16.7136626 | 15 | 423.720690 |
7 | Male | 13 | 13 | validation | 4.5420874 | 3 | 115.149890 |
7 | Male | 14 | 14 | testing | 3.9170040 | 0 | 102.000000 |
7 | Male | 14 | 14 | training | 15.3641094 | 16 | 400.086178 |
7 | Male | 14 | 14 | validation | 4.7292021 | 2 | 123.149890 |
7 | Male | 15 | 15 | testing | 3.8826551 | 2 | 103.722788 |
7 | Male | 15 | 15 | training | 15.0754286 | 16 | 402.730976 |
7 | Male | 15 | 15 | validation | 5.0344694 | 1 | 134.492810 |
7 | Male | 16 | 16 | testing | 4.3726149 | 5 | 119.431196 |
7 | Male | 16 | 16 | training | 14.2859702 | 17 | 390.199120 |
7 | Male | 16 | 16 | validation | 4.1539959 | 2 | 113.459956 |
7 | Male | 17 | 17 | testing | 3.8739483 | 3 | 107.708408 |
7 | Male | 17 | 17 | training | 13.3546864 | 12 | 371.303874 |
7 | Male | 17 | 17 | validation | 4.5980149 | 3 | 127.839824 |
7 | Male | 18 | 18 | testing | 3.4097394 | 6 | 96.084182 |
7 | Male | 18 | 18 | training | 12.6766552 | 10 | 357.219692 |
7 | Male | 18 | 18 | validation | 3.9891903 | 2 | 112.412722 |
7 | Male | 19 | 19 | testing | 3.0627957 | 2 | 87.149890 |
7 | Male | 19 | 19 | training | 12.3035024 | 6 | 350.088276 |
7 | Male | 19 | 19 | validation | 4.1153119 | 1 | 117.098562 |
7 | Male | 20 | 20 | testing | 2.6269556 | 1 | 75.229978 |
7 | Male | 20 | 20 | training | 11.8681570 | 12 | 339.876772 |
7 | Male | 20 | 20 | validation | 3.7323892 | 3 | 106.887058 |
7 | Male | 21 | 21 | testing | 2.5050960 | 0 | 72.000000 |
7 | Male | 21 | 21 | training | 11.8812015 | 7 | 341.482524 |
7 | Male | 21 | 21 | validation | 4.0371311 | 0 | 116.032854 |
7 | Male | 22 | 22 | testing | 5.4384239 | 5 | 156.496904 |
7 | Male | 22 | 22 | training | 9.9219449 | 6 | 285.515378 |
7 | Male | 22 | 22 | validation | 2.9078092 | 4 | 83.675554 |
7 | Male | 23 | 23 | testing | 5.7384997 | 3 | 165.036948 |
7 | Male | 23 | 23 | training | 8.7772851 | 8 | 252.431196 |
7 | Male | 23 | 23 | validation | 2.7658292 | 2 | 79.544138 |
7 | Male | 24 | 24 | testing | 5.5099376 | 9 | 158.172458 |
7 | Male | 24 | 24 | training | 8.5276351 | 9 | 244.800778 |
7 | Male | 24 | 24 | validation | 2.7634097 | 1 | 79.328540 |
7 | Male | 25 | 25 | testing | 2.8057752 | 3 | 80.314160 |
7 | Male | 25 | 25 | training | 8.6849687 | 12 | 248.603654 |
7 | Male | 25 | 25 | validation | 3.2300886 | 0 | 92.459956 |
7 | Male | 26 | 26 | testing | 2.5194958 | 1 | 71.854204 |
7 | Male | 26 | 26 | training | 8.4592793 | 9 | 241.252546 |
7 | Male | 26 | 26 | validation | 3.0599275 | 4 | 87.266926 |
7 | Male | 27 | 27 | testing | 2.4652600 | 0 | 70.000000 |
7 | Male | 27 | 27 | training | 7.9334506 | 4 | 225.266926 |
7 | Male | 27 | 27 | validation | 2.9677126 | 4 | 84.266926 |
7 | Male | 28 | 28 | testing | 2.4804194 | 2 | 70.084182 |
7 | Male | 28 | 28 | training | 7.9488827 | 7 | 224.595466 |
7 | Male | 28 | 28 | validation | 2.3802021 | 4 | 67.252546 |
7 | Male | 29 | 29 | testing | 2.4011242 | 1 | 67.492810 |
7 | Male | 29 | 29 | training | 7.8036350 | 6 | 219.351108 |
7 | Male | 29 | 29 | validation | 2.4467080 | 4 | 68.774116 |
7 | Male | 30 | 30 | testing | 2.0419588 | 1 | 57.098562 |
7 | Male | 30 | 30 | training | 7.6748773 | 6 | 214.609846 |
7 | Male | 30 | 30 | validation | 2.7150479 | 3 | 75.919912 |
7 | Male | 31 | 31 | testing | 1.8692960 | 0 | 52.000000 |
7 | Male | 31 | 31 | training | 7.3323581 | 4 | 203.971240 |
7 | Male | 31 | 31 | validation | 2.6454626 | 2 | 73.591372 |
7 | Male | 32 | 32 | testing | 2.0799346 | 2 | 57.558518 |
7 | Male | 32 | 32 | training | 7.5099802 | 8 | 207.825444 |
7 | Male | 32 | 32 | validation | 2.2244786 | 1 | 61.558518 |
7 | Male | 33 | 33 | testing | 2.3159237 | 2 | 63.755642 |
7 | Male | 33 | 33 | training | 7.2402356 | 5 | 199.318254 |
7 | Male | 33 | 33 | validation | 2.3438947 | 2 | 64.525664 |
7 | Male | 34 | 34 | testing | 4.3165243 | 1 | 118.215598 |
7 | Male | 34 | 34 | training | 5.3725060 | 5 | 147.135510 |
7 | Male | 34 | 34 | validation | 1.6796440 | 0 | 46.000000 |
7 | Male | 35 | 35 | testing | 4.2934294 | 5 | 116.971240 |
7 | Male | 35 | 35 | training | 6.0848892 | 5 | 165.778210 |
7 | Male | 35 | 35 | validation | 1.7504590 | 1 | 47.689934 |
7 | Male | 36 | 36 | testing | 3.8955197 | 3 | 105.581086 |
7 | Male | 36 | 36 | training | 5.4668200 | 3 | 148.168364 |
7 | Male | 36 | 36 | validation | 1.9554880 | 0 | 53.000000 |
7 | Male | 37 | 37 | testing | 1.7060940 | 0 | 46.000000 |
7 | Male | 37 | 37 | training | 5.0606300 | 4 | 136.445576 |
7 | Male | 37 | 37 | validation | 1.3856967 | 1 | 37.361394 |
7 | Male | 38 | 38 | testing | 1.9014330 | 1 | 51.000000 |
7 | Male | 38 | 38 | training | 4.5742488 | 2 | 122.689934 |
7 | Male | 38 | 38 | validation | 1.6087573 | 2 | 43.149890 |
7 | Male | 39 | 39 | testing | 1.7239420 | 2 | 46.000000 |
7 | Male | 39 | 39 | training | 4.8930950 | 5 | 130.562612 |
7 | Male | 39 | 39 | validation | 1.5365570 | 1 | 41.000000 |
7 | Male | 40 | 40 | testing | 1.7997943 | 3 | 47.774116 |
7 | Male | 40 | 40 | training | 4.5412593 | 1 | 120.544138 |
7 | Male | 40 | 40 | validation | 1.5242479 | 1 | 40.459956 |
7 | Male | 41 | 41 | testing | 1.8401067 | 1 | 48.591372 |
7 | Male | 41 | 41 | training | 4.8218045 | 4 | 127.328540 |
7 | Male | 41 | 41 | validation | 1.5906530 | 4 | 42.004094 |
7 | Male | 42 | 42 | testing | 1.4946182 | 0 | 39.262832 |
7 | Male | 42 | 42 | training | 4.2722586 | 1 | 112.229978 |
7 | Male | 42 | 42 | validation | 1.3373476 | 0 | 35.131416 |
7 | Male | 43 | 43 | testing | 1.6567527 | 1 | 43.295686 |
7 | Male | 43 | 43 | training | 4.6687653 | 4 | 122.008188 |
7 | Male | 43 | 43 | validation | 1.4310850 | 4 | 37.398342 |
7 | Male | 44 | 44 | testing | 1.2523960 | 1 | 32.558518 |
7 | Male | 44 | 44 | training | 3.8752709 | 7 | 100.745356 |
7 | Male | 44 | 44 | validation | 1.5001740 | 0 | 39.000000 |
7 | Male | 45 | 45 | testing | 1.3533100 | 0 | 35.000000 |
7 | Male | 45 | 45 | training | 3.8889100 | 2 | 100.576992 |
7 | Male | 45 | 45 | validation | 1.0826480 | 0 | 28.000000 |
7 | Male | 46 | 46 | testing | 2.3862716 | 1 | 61.394248 |
7 | Male | 46 | 46 | training | 3.3121599 | 3 | 85.215598 |
7 | Male | 46 | 46 | validation | 0.9857467 | 1 | 25.361394 |
7 | Male | 47 | 47 | testing | 2.4167056 | 2 | 61.854204 |
7 | Male | 47 | 47 | training | 3.4153025 | 4 | 87.412722 |
7 | Male | 47 | 47 | validation | 0.9767750 | 0 | 25.000000 |
7 | Male | 48 | 48 | testing | 2.3439182 | 1 | 59.679648 |
7 | Male | 48 | 48 | training | 2.6939261 | 3 | 68.591372 |
7 | Male | 48 | 48 | validation | 0.9818750 | 0 | 25.000000 |
7 | Male | 49 | 49 | testing | 1.1054400 | 0 | 28.000000 |
7 | Male | 49 | 49 | training | 3.1663441 | 2 | 80.201218 |
7 | Male | 49 | 49 | validation | 0.6783747 | 2 | 17.182744 |
7 | Male | 50 | 50 | testing | 0.9921500 | 0 | 25.000000 |
7 | Male | 50 | 50 | training | 2.4131854 | 2 | 60.806970 |
7 | Male | 50 | 50 | validation | 1.0318360 | 0 | 26.000000 |
7 | Male | 51 | 51 | testing | 1.0372180 | 0 | 26.000000 |
7 | Male | 51 | 51 | training | 2.5008895 | 1 | 62.689934 |
7 | Male | 51 | 51 | validation | 0.8377530 | 0 | 21.000000 |
7 | Male | 52 | 52 | testing | 1.0927174 | 1 | 27.248452 |
7 | Male | 52 | 52 | training | 2.4673022 | 2 | 61.525664 |
7 | Male | 52 | 52 | validation | 0.8632222 | 2 | 21.525664 |
7 | Male | 53 | 53 | testing | 0.8465310 | 0 | 21.000000 |
7 | Male | 53 | 53 | training | 2.6202150 | 0 | 65.000000 |
7 | Male | 53 | 53 | validation | 1.0077750 | 0 | 25.000000 |
7 | Male | 54 | 54 | testing | 1.0303316 | 1 | 25.427102 |
7 | Male | 54 | 54 | training | 2.3502180 | 1 | 58.000000 |
7 | Male | 54 | 54 | validation | 0.9319830 | 0 | 23.000000 |
7 | Male | 55 | 55 | testing | 0.8701137 | 1 | 21.361394 |
7 | Male | 55 | 55 | training | 2.4694066 | 1 | 60.624226 |
7 | Male | 55 | 55 | validation | 0.6637722 | 1 | 16.295686 |
7 | Male | 56 | 56 | testing | 0.6744781 | 1 | 16.558518 |
7 | Male | 56 | 56 | training | 2.5902674 | 1 | 63.591372 |
7 | Male | 56 | 56 | validation | 0.5295290 | 0 | 13.000000 |
7 | Male | 57 | 57 | testing | 0.9022315 | 2 | 22.149890 |
7 | Male | 57 | 57 | training | 2.1995820 | 0 | 54.000000 |
7 | Male | 57 | 57 | validation | 0.4541685 | 1 | 11.149890 |
7 | Male | 58 | 58 | testing | 1.4256550 | 1 | 35.000000 |
7 | Male | 58 | 58 | training | 1.6700530 | 0 | 41.000000 |
7 | Male | 58 | 58 | validation | 0.5702620 | 0 | 14.000000 |
7 | Male | 59 | 59 | testing | 1.3849220 | 0 | 34.000000 |
7 | Male | 59 | 59 | training | 1.7195680 | 3 | 42.215598 |
7 | Male | 59 | 59 | validation | 0.5295290 | 1 | 13.000000 |
7 | Male | 60 | 60 | testing | 1.0131388 | 1 | 24.872678 |
7 | Male | 60 | 60 | training | 1.7455803 | 2 | 42.854204 |
7 | Male | 60 | 60 | validation | 0.3665970 | 1 | 9.000000 |
7 | Male | 61 | 61 | testing | 0.4140212 | 1 | 10.164270 |
7 | Male | 61 | 61 | training | 1.3916132 | 1 | 34.164270 |
7 | Male | 61 | 61 | validation | 0.3258640 | 0 | 8.000000 |
7 | Male | 62 | 62 | testing | 0.4247271 | 1 | 10.427102 |
7 | Male | 62 | 62 | training | 1.6780825 | 1 | 41.197124 |
7 | Male | 62 | 62 | validation | 0.4480630 | 0 | 11.000000 |
7 | Male | 63 | 63 | testing | 0.5142226 | 1 | 12.624226 |
7 | Male | 63 | 63 | training | 1.3656009 | 1 | 33.525664 |
7 | Male | 63 | 63 | validation | 0.6109950 | 0 | 15.000000 |
7 | Male | 64 | 64 | testing | 0.4073300 | 0 | 10.000000 |
7 | Male | 64 | 64 | training | 1.3489562 | 2 | 33.117036 |
7 | Male | 64 | 64 | validation | 0.4480630 | 0 | 11.000000 |
7 | Male | 65 | 65 | testing | 0.6924610 | 0 | 17.000000 |
7 | Male | 65 | 65 | training | 1.3034560 | 0 | 32.000000 |
7 | Male | 65 | 65 | validation | 0.4073300 | 0 | 10.000000 |
7 | Male | 66 | 66 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 66 | 66 | training | 1.1072347 | 2 | 27.182744 |
7 | Male | 66 | 66 | validation | 0.6664487 | 0 | 16.361394 |
7 | Male | 67 | 67 | testing | 0.5742767 | 1 | 14.098562 |
7 | Male | 67 | 67 | training | 1.3441890 | 0 | 33.000000 |
7 | Male | 67 | 67 | validation | 0.4174502 | 2 | 10.248452 |
7 | Male | 68 | 68 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 68 | 68 | training | 1.1579211 | 0 | 28.427102 |
7 | Male | 68 | 68 | validation | 0.4274036 | 2 | 10.492810 |
7 | Male | 69 | 69 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 69 | 69 | training | 1.0590580 | 0 | 26.000000 |
7 | Male | 69 | 69 | validation | 0.3665970 | 1 | 9.000000 |
7 | Male | 70 | 70 | testing | 0.8333954 | 2 | 20.459956 |
7 | Male | 70 | 70 | training | 1.2627230 | 0 | 31.000000 |
7 | Male | 70 | 70 | validation | 0.4073300 | 0 | 10.000000 |
7 | Male | 71 | 71 | testing | 0.6924610 | 0 | 17.000000 |
7 | Male | 71 | 71 | training | 1.0183250 | 0 | 25.000000 |
7 | Male | 71 | 71 | validation | 0.3665970 | 0 | 9.000000 |
7 | Male | 72 | 72 | testing | 0.6109950 | 0 | 15.000000 |
7 | Male | 72 | 72 | training | 0.9515797 | 0 | 23.361394 |
7 | Male | 72 | 72 | validation | 0.5295290 | 0 | 13.000000 |
7 | Male | 73 | 73 | testing | 0.4073300 | 0 | 10.000000 |
7 | Male | 73 | 73 | training | 0.9775920 | 0 | 24.000000 |
7 | Male | 73 | 73 | validation | 0.2631334 | 1 | 6.459956 |
7 | Male | 74 | 74 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 74 | 74 | training | 0.9095084 | 2 | 22.328540 |
7 | Male | 74 | 74 | validation | 0.2036650 | 0 | 5.000000 |
7 | Male | 75 | 75 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 75 | 75 | training | 0.8553930 | 1 | 21.000000 |
7 | Male | 75 | 75 | validation | 0.2851310 | 0 | 7.000000 |
7 | Male | 76 | 76 | testing | 0.2443980 | 0 | 6.000000 |
7 | Male | 76 | 76 | training | 0.6109950 | 0 | 15.000000 |
7 | Male | 76 | 76 | validation | 0.4887960 | 0 | 12.000000 |
7 | Male | 77 | 77 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 77 | 77 | training | 0.7331940 | 1 | 18.000000 |
7 | Male | 77 | 77 | validation | 0.2851310 | 0 | 7.000000 |
7 | Male | 78 | 78 | testing | 0.2443980 | 0 | 6.000000 |
7 | Male | 78 | 78 | training | 0.8553930 | 0 | 21.000000 |
7 | Male | 78 | 78 | validation | 0.3258640 | 0 | 8.000000 |
7 | Male | 79 | 79 | testing | 0.3011899 | 1 | 7.394248 |
7 | Male | 79 | 79 | training | 0.9228908 | 1 | 22.657080 |
7 | Male | 79 | 79 | validation | 0.2851310 | 0 | 7.000000 |
7 | Male | 80 | 80 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 80 | 80 | training | 0.7358705 | 1 | 18.065708 |
7 | Male | 80 | 80 | validation | 0.3258640 | 0 | 8.000000 |
7 | Male | 81 | 81 | testing | 0.2036650 | 0 | 5.000000 |
7 | Male | 81 | 81 | training | 0.7679883 | 1 | 18.854204 |
7 | Male | 81 | 81 | validation | 0.3258640 | 0 | 8.000000 |
7 | Male | 82 | 82 | testing | 0.4434625 | 1 | 10.887058 |
7 | Male | 82 | 82 | training | 0.5295290 | 0 | 13.000000 |
7 | Male | 82 | 82 | validation | 0.2443980 | 0 | 6.000000 |
7 | Male | 83 | 83 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 83 | 83 | training | 0.5702620 | 0 | 14.000000 |
7 | Male | 83 | 83 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 84 | 84 | testing | 0.4073300 | 0 | 10.000000 |
7 | Male | 84 | 84 | training | 0.4887960 | 0 | 12.000000 |
7 | Male | 84 | 84 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 85 | 85 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 85 | 85 | training | 0.4073300 | 0 | 10.000000 |
7 | Male | 85 | 85 | validation | 0.1629320 | 0 | 4.000000 |
7 | Male | 86 | 86 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 86 | 86 | training | 0.4086682 | 0 | 10.032854 |
7 | Male | 86 | 86 | validation | 0.1629320 | 0 | 4.000000 |
7 | Male | 87 | 87 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 87 | 87 | training | 0.5469261 | 1 | 13.427102 |
7 | Male | 87 | 87 | validation | 0.2443980 | 0 | 6.000000 |
7 | Male | 88 | 88 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 88 | 88 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 88 | 88 | validation | 0.1629320 | 0 | 4.000000 |
7 | Male | 89 | 89 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 89 | 89 | training | 0.3665970 | 0 | 9.000000 |
7 | Male | 89 | 89 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 90 | 90 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 90 | 90 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 90 | 90 | validation | 0.2036650 | 0 | 5.000000 |
7 | Male | 91 | 91 | testing | 0.1776527 | 0 | 4.361394 |
7 | Male | 91 | 91 | training | 0.4887960 | 0 | 12.000000 |
7 | Male | 91 | 91 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 92 | 92 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 92 | 92 | training | 0.4247271 | 1 | 10.427102 |
7 | Male | 92 | 92 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 93 | 93 | training | 0.2443980 | 0 | 6.000000 |
7 | Male | 93 | 93 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 94 | 94 | testing | 0.2443980 | 0 | 6.000000 |
7 | Male | 94 | 94 | training | 0.3065429 | 1 | 7.525664 |
7 | Male | 94 | 94 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 95 | 95 | testing | 0.3665970 | 0 | 9.000000 |
7 | Male | 95 | 95 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 95 | 95 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 96 | 96 | testing | 0.2036650 | 0 | 5.000000 |
7 | Male | 96 | 96 | training | 0.1221990 | 0 | 3.000000 |
7 | Male | 96 | 96 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 97 | 97 | testing | 0.2443980 | 0 | 6.000000 |
7 | Male | 97 | 97 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 97 | 97 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 98 | 98 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 98 | 98 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 98 | 98 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 99 | 99 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 99 | 99 | training | 0.2851310 | 0 | 7.000000 |
7 | Male | 99 | 99 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 100 | 100 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 100 | 100 | training | 0.2443980 | 0 | 6.000000 |
7 | Male | 100 | 100 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 101 | 101 | testing | 0.1843439 | 0 | 4.525664 |
7 | Male | 101 | 101 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 102 | 102 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 102 | 102 | training | 0.2443980 | 0 | 6.000000 |
7 | Male | 102 | 102 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 103 | 103 | testing | 0.1696232 | 0 | 4.164270 |
7 | Male | 103 | 103 | training | 0.2443980 | 0 | 6.000000 |
7 | Male | 103 | 103 | validation | 0.1221990 | 0 | 3.000000 |
7 | Male | 104 | 104 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 104 | 104 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 104 | 104 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 105 | 105 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 105 | 105 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 105 | 105 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 106 | 106 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 106 | 106 | training | 0.1221990 | 0 | 3.000000 |
7 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 107 | 107 | testing | 0.2443980 | 0 | 6.000000 |
7 | Male | 107 | 107 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 107 | 107 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 108 | 108 | testing | 0.2036650 | 0 | 5.000000 |
7 | Male | 108 | 108 | training | 0.1221990 | 0 | 3.000000 |
7 | Male | 108 | 108 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 109 | 109 | testing | 0.0434095 | 1 | 1.065708 |
7 | Male | 109 | 109 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 110 | 110 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 110 | 110 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 110 | 110 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 111 | 111 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 111 | 111 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 111 | 111 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 112 | 112 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 112 | 112 | training | 0.2036650 | 0 | 5.000000 |
7 | Male | 112 | 112 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 113 | 113 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 113 | 113 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 113 | 113 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 114 | 114 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 114 | 114 | training | 0.0407330 | 0 | 1.000000 |
7 | Male | 114 | 114 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 115 | 115 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 115 | 115 | training | 0.1722997 | 1 | 4.229978 |
7 | Male | 115 | 115 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 116 | 116 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 116 | 116 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 117 | 117 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 117 | 117 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 117 | 117 | validation | 0.0814660 | 0 | 2.000000 |
7 | Male | 118 | 118 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 118 | 118 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 119 | 119 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 119 | 119 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 119 | 119 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 120 | 120 | testing | 0.0868190 | 1 | 2.131416 |
7 | Male | 120 | 120 | training | 0.1629320 | 0 | 4.000000 |
7 | Male | 121 | 121 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 121 | 121 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 122 | 122 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 122 | 122 | training | 0.1489638 | 1 | 3.657080 |
7 | Male | 122 | 122 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 123 | 123 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 123 | 123 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 124 | 124 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 124 | 124 | training | 0.1221990 | 0 | 3.000000 |
7 | Male | 125 | 125 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 125 | 125 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 126 | 126 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 126 | 126 | training | 0.0407330 | 0 | 1.000000 |
7 | Male | 127 | 127 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 127 | 127 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 128 | 128 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 128 | 128 | training | 0.0814660 | 0 | 2.000000 |
7 | Male | 129 | 129 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 130 | 130 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
7 | Male | 131 | 131 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 132 | 132 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 132 | 132 | training | 0.0407330 | 0 | 1.000000 |
7 | Male | 133 | 133 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 133 | 133 | training | 0.0347943 | 1 | 0.854204 |
7 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 135 | 135 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 136 | 136 | testing | 0.1221990 | 0 | 3.000000 |
7 | Male | 137 | 137 | testing | 0.1629320 | 0 | 4.000000 |
7 | Male | 137 | 137 | validation | 0.0294413 | 0 | 0.722788 |
7 | Male | 138 | 138 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 139 | 139 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 139 | 139 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 141 | 141 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 141 | 141 | validation | 0.0407330 | 0 | 1.000000 |
7 | Male | 142 | 142 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 143 | 143 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 144 | 144 | testing | 0.0814660 | 0 | 2.000000 |
7 | Male | 146 | 146 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 147 | 147 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 149 | 149 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 150 | 150 | testing | 0.0407330 | 0 | 1.000000 |
7 | Male | 151 | 151 | testing | 0.0407330 | 0 | 1.000000 |
8 | Female | 1 | 1 | testing | 3.5109487 | 1 | 27.519370 |
8 | Female | 1 | 1 | training | 16.0840333 | 17 | 126.069190 |
8 | Female | 1 | 1 | validation | 7.8389943 | 8 | 61.443274 |
8 | Female | 2 | 2 | testing | 7.6931164 | 4 | 69.960954 |
8 | Female | 2 | 2 | training | 37.3442756 | 31 | 339.607646 |
8 | Female | 2 | 2 | validation | 12.6816415 | 12 | 115.326442 |
8 | Female | 3 | 3 | testing | 7.2625880 | 6 | 87.457858 |
8 | Female | 3 | 3 | training | 40.9448183 | 52 | 493.067500 |
8 | Female | 3 | 3 | validation | 12.6372330 | 6 | 152.180646 |
8 | Female | 4 | 4 | testing | 14.8816715 | 9 | 278.944170 |
8 | Female | 4 | 4 | training | 58.9252433 | 46 | 1104.503154 |
8 | Female | 4 | 4 | validation | 20.7648379 | 16 | 389.219080 |
8 | Female | 5 | 5 | testing | 11.3555155 | 11 | 288.613940 |
8 | Female | 5 | 5 | training | 45.7225203 | 37 | 1162.092268 |
8 | Female | 5 | 5 | validation | 15.9224429 | 18 | 404.687836 |
8 | Female | 6 | 6 | testing | 9.1054856 | 9 | 265.566706 |
8 | Female | 6 | 6 | training | 41.8339370 | 33 | 1220.110742 |
8 | Female | 6 | 6 | validation | 14.5781688 | 13 | 425.180646 |
8 | Female | 7 | 7 | testing | 8.5025042 | 7 | 283.464050 |
8 | Female | 7 | 7 | training | 34.2116667 | 27 | 1140.578988 |
8 | Female | 7 | 7 | validation | 12.8731507 | 16 | 429.176552 |
8 | Female | 8 | 8 | testing | 7.3574640 | 3 | 276.971240 |
8 | Female | 8 | 8 | training | 29.1719062 | 24 | 1098.174454 |
8 | Female | 8 | 8 | validation | 10.7630012 | 10 | 405.172458 |
8 | Female | 9 | 9 | testing | 6.7199340 | 4 | 274.036948 |
8 | Female | 9 | 9 | training | 26.7866828 | 25 | 1092.353104 |
8 | Female | 9 | 9 | validation | 9.7813566 | 9 | 398.880866 |
8 | Female | 10 | 10 | testing | 12.0340726 | 11 | 506.143698 |
8 | Female | 10 | 10 | training | 20.3446868 | 22 | 855.681644 |
8 | Female | 10 | 10 | validation | 7.7031794 | 10 | 323.989714 |
8 | Female | 11 | 11 | testing | 12.2630289 | 9 | 522.876772 |
8 | Female | 11 | 11 | training | 19.8180238 | 22 | 845.010184 |
8 | Female | 11 | 11 | validation | 6.3394368 | 8 | 270.303874 |
8 | Female | 12 | 12 | testing | 12.1557909 | 13 | 521.640602 |
8 | Female | 12 | 12 | training | 20.8540301 | 20 | 894.907528 |
8 | Female | 12 | 12 | validation | 6.2788903 | 3 | 269.445576 |
8 | Female | 13 | 13 | testing | 5.4282036 | 7 | 235.496904 |
8 | Female | 13 | 13 | training | 19.0015761 | 17 | 824.363390 |
8 | Female | 13 | 13 | validation | 6.4892609 | 5 | 281.529758 |
8 | Female | 14 | 14 | testing | 5.7291628 | 7 | 256.613940 |
8 | Female | 14 | 14 | training | 17.4489372 | 15 | 781.552326 |
8 | Female | 14 | 14 | validation | 6.6558523 | 5 | 298.121130 |
8 | Female | 15 | 15 | testing | 4.8066998 | 3 | 226.624226 |
8 | Female | 15 | 15 | training | 16.8010628 | 14 | 792.129318 |
8 | Female | 15 | 15 | validation | 5.8911972 | 2 | 277.755642 |
8 | Female | 16 | 16 | testing | 4.8117216 | 3 | 238.806970 |
8 | Female | 16 | 16 | training | 15.9464224 | 16 | 791.425004 |
8 | Female | 16 | 16 | validation | 5.7167305 | 3 | 283.722788 |
8 | Female | 17 | 17 | testing | 4.4187724 | 7 | 227.642700 |
8 | Female | 17 | 17 | training | 15.2086968 | 14 | 783.509186 |
8 | Female | 17 | 17 | validation | 5.6474845 | 6 | 290.942480 |
8 | Female | 18 | 18 | testing | 4.2367107 | 5 | 222.726882 |
8 | Female | 18 | 18 | training | 14.6577199 | 6 | 770.566706 |
8 | Female | 18 | 18 | validation | 5.3487360 | 8 | 281.186838 |
8 | Female | 19 | 19 | testing | 3.9508718 | 4 | 208.511284 |
8 | Female | 19 | 19 | training | 13.6177369 | 3 | 718.689934 |
8 | Female | 19 | 19 | validation | 4.8386653 | 6 | 255.365488 |
8 | Female | 20 | 20 | testing | 3.9877977 | 3 | 208.905532 |
8 | Female | 20 | 20 | training | 13.6529069 | 10 | 715.223786 |
8 | Female | 20 | 20 | validation | 5.2682895 | 2 | 275.985620 |
8 | Female | 21 | 21 | testing | 3.8507292 | 2 | 199.004094 |
8 | Female | 21 | 21 | training | 13.5318874 | 12 | 699.322348 |
8 | Female | 21 | 21 | validation | 4.7852507 | 4 | 247.299780 |
8 | Female | 22 | 22 | testing | 7.3259186 | 5 | 372.365488 |
8 | Female | 22 | 22 | training | 11.2346615 | 8 | 571.041042 |
8 | Female | 22 | 22 | validation | 3.8581237 | 2 | 196.102656 |
8 | Female | 23 | 23 | testing | 7.4792979 | 8 | 373.796684 |
8 | Female | 23 | 23 | training | 11.7136051 | 9 | 585.416816 |
8 | Female | 23 | 23 | validation | 3.6814502 | 6 | 183.989714 |
8 | Female | 24 | 24 | testing | 7.9353422 | 7 | 391.443478 |
8 | Female | 24 | 24 | training | 12.0218365 | 10 | 593.026662 |
8 | Female | 24 | 24 | validation | 3.8507225 | 3 | 189.952766 |
8 | Female | 25 | 25 | testing | 3.2704962 | 1 | 160.657080 |
8 | Female | 25 | 25 | training | 11.4466106 | 13 | 562.293588 |
8 | Female | 25 | 25 | validation | 3.8121928 | 7 | 187.266926 |
8 | Female | 26 | 26 | testing | 3.3196880 | 0 | 164.000000 |
8 | Female | 26 | 26 | training | 11.2375098 | 8 | 555.158078 |
8 | Female | 26 | 26 | validation | 3.4721054 | 6 | 171.529758 |
8 | Female | 27 | 27 | testing | 3.5257854 | 3 | 176.262832 |
8 | Female | 27 | 27 | training | 10.8843426 | 7 | 544.135510 |
8 | Female | 27 | 27 | validation | 3.5235262 | 1 | 176.149890 |
8 | Female | 28 | 28 | testing | 3.2399840 | 0 | 164.000000 |
8 | Female | 28 | 28 | training | 10.8029611 | 11 | 546.819252 |
8 | Female | 28 | 28 | validation | 3.6488152 | 6 | 184.694028 |
8 | Female | 29 | 29 | testing | 3.3116112 | 3 | 168.985620 |
8 | Female | 29 | 29 | training | 10.6696604 | 5 | 544.453764 |
8 | Female | 29 | 29 | validation | 3.3347894 | 5 | 170.168364 |
8 | Female | 30 | 30 | testing | 3.1094340 | 1 | 158.952766 |
8 | Female | 30 | 30 | training | 10.2558698 | 9 | 524.275114 |
8 | Female | 30 | 30 | validation | 3.0116240 | 1 | 153.952766 |
8 | Female | 31 | 31 | testing | 2.9317835 | 2 | 149.314160 |
8 | Female | 31 | 31 | training | 9.9771192 | 10 | 508.129318 |
8 | Female | 31 | 31 | validation | 2.9143661 | 1 | 148.427102 |
8 | Female | 32 | 32 | testing | 2.9813607 | 3 | 150.741262 |
8 | Female | 32 | 32 | training | 9.7265514 | 11 | 491.786398 |
8 | Female | 32 | 32 | validation | 3.4459205 | 3 | 174.229978 |
8 | Female | 33 | 33 | testing | 3.0021837 | 2 | 150.379868 |
8 | Female | 33 | 33 | training | 8.9803152 | 4 | 449.825444 |
8 | Female | 33 | 33 | validation | 3.0679788 | 3 | 153.675554 |
8 | Female | 34 | 34 | testing | 5.4304717 | 6 | 269.168364 |
8 | Female | 34 | 34 | training | 7.3898905 | 9 | 366.289494 |
8 | Female | 34 | 34 | validation | 2.3526036 | 5 | 116.609846 |
8 | Female | 35 | 35 | testing | 5.3025833 | 9 | 259.917814 |
8 | Female | 35 | 35 | training | 7.8388428 | 9 | 384.238166 |
8 | Female | 35 | 35 | validation | 2.5899634 | 3 | 126.952766 |
8 | Female | 36 | 36 | testing | 5.8362581 | 8 | 282.819252 |
8 | Female | 36 | 36 | training | 7.7243470 | 5 | 374.314160 |
8 | Female | 36 | 36 | validation | 2.1255080 | 0 | 103.000000 |
8 | Female | 37 | 37 | testing | 2.7432491 | 2 | 131.394248 |
8 | Female | 37 | 37 | training | 7.2366058 | 9 | 346.613940 |
8 | Female | 37 | 37 | validation | 2.3653873 | 1 | 113.295686 |
8 | Female | 38 | 38 | testing | 2.6646991 | 7 | 126.139604 |
8 | Female | 38 | 38 | training | 7.6737100 | 7 | 363.252546 |
8 | Female | 38 | 38 | validation | 2.0627020 | 3 | 97.642700 |
8 | Female | 39 | 39 | testing | 2.4916714 | 2 | 116.558518 |
8 | Female | 39 | 39 | training | 7.1237198 | 14 | 333.242260 |
8 | Female | 39 | 39 | validation | 2.2677616 | 2 | 106.084182 |
8 | Female | 40 | 40 | testing | 2.4636048 | 2 | 113.887058 |
8 | Female | 40 | 40 | training | 7.3681608 | 7 | 340.613940 |
8 | Female | 40 | 40 | validation | 2.4756867 | 2 | 114.445576 |
8 | Female | 41 | 41 | testing | 2.5907345 | 1 | 118.347014 |
8 | Female | 41 | 41 | training | 7.3473292 | 8 | 335.632414 |
8 | Female | 41 | 41 | validation | 2.3836466 | 3 | 108.887058 |
8 | Female | 42 | 42 | testing | 2.5948123 | 1 | 117.131416 |
8 | Female | 42 | 42 | training | 6.7768159 | 7 | 305.909626 |
8 | Female | 42 | 42 | validation | 2.4811360 | 2 | 112.000000 |
8 | Female | 43 | 43 | testing | 2.3800968 | 2 | 106.164270 |
8 | Female | 43 | 43 | training | 6.8126134 | 7 | 303.876772 |
8 | Female | 43 | 43 | validation | 2.3724088 | 2 | 105.821350 |
8 | Female | 44 | 44 | testing | 2.2461120 | 1 | 99.000000 |
8 | Female | 44 | 44 | training | 6.5346560 | 6 | 288.022568 |
8 | Female | 44 | 44 | validation | 1.9694765 | 2 | 86.806970 |
8 | Female | 45 | 45 | testing | 2.3287663 | 2 | 101.427102 |
8 | Female | 45 | 45 | training | 6.3822197 | 3 | 277.971240 |
8 | Female | 45 | 45 | validation | 2.1511209 | 2 | 93.689934 |
8 | Female | 46 | 46 | testing | 3.8839900 | 2 | 167.153984 |
8 | Female | 46 | 46 | training | 4.9759868 | 2 | 214.149890 |
8 | Female | 46 | 46 | validation | 1.5263713 | 0 | 65.689934 |
8 | Female | 47 | 47 | testing | 4.2004449 | 5 | 178.628320 |
8 | Female | 47 | 47 | training | 4.9352523 | 7 | 209.876772 |
8 | Female | 47 | 47 | validation | 1.5289094 | 1 | 65.018474 |
8 | Female | 48 | 48 | testing | 3.8059689 | 5 | 159.928100 |
8 | Female | 48 | 48 | training | 4.7737709 | 5 | 200.595466 |
8 | Female | 48 | 48 | validation | 1.4013942 | 1 | 58.887058 |
8 | Female | 49 | 49 | testing | 1.9078285 | 3 | 79.215598 |
8 | Female | 49 | 49 | training | 5.0289071 | 3 | 208.806970 |
8 | Female | 49 | 49 | validation | 1.6357832 | 2 | 67.919912 |
8 | Female | 50 | 50 | testing | 1.8584035 | 1 | 76.248452 |
8 | Female | 50 | 50 | training | 4.6941293 | 6 | 192.595466 |
8 | Female | 50 | 50 | validation | 1.6174263 | 1 | 66.361394 |
8 | Female | 51 | 51 | testing | 1.5734070 | 1 | 63.788496 |
8 | Female | 51 | 51 | training | 4.4376508 | 7 | 179.909626 |
8 | Female | 51 | 51 | validation | 1.4306280 | 0 | 58.000000 |
8 | Female | 52 | 52 | testing | 1.6356516 | 1 | 65.525664 |
8 | Female | 52 | 52 | training | 4.4911608 | 2 | 179.919912 |
8 | Female | 52 | 52 | validation | 1.6533349 | 2 | 66.234072 |
8 | Female | 53 | 53 | testing | 1.9297951 | 3 | 76.394248 |
8 | Female | 53 | 53 | training | 4.1126669 | 1 | 162.806970 |
8 | Female | 53 | 53 | validation | 1.3384697 | 3 | 52.985620 |
8 | Female | 54 | 54 | testing | 1.6843368 | 0 | 65.887058 |
8 | Female | 54 | 54 | training | 4.3326512 | 4 | 169.482524 |
8 | Female | 54 | 54 | validation | 1.2899583 | 1 | 50.459956 |
8 | Female | 55 | 55 | testing | 1.5005180 | 0 | 58.000000 |
8 | Female | 55 | 55 | training | 4.5500021 | 4 | 175.872678 |
8 | Female | 55 | 55 | validation | 1.5263890 | 1 | 59.000000 |
8 | Female | 56 | 56 | testing | 1.3987339 | 0 | 54.065708 |
8 | Female | 56 | 56 | training | 4.3175351 | 1 | 166.887058 |
8 | Female | 56 | 56 | validation | 1.5726592 | 0 | 60.788496 |
8 | Female | 57 | 57 | testing | 1.5217671 | 1 | 58.821350 |
8 | Female | 57 | 57 | training | 3.9931116 | 3 | 154.347014 |
8 | Female | 57 | 57 | validation | 1.2550354 | 2 | 48.511284 |
8 | Female | 58 | 58 | testing | 2.7292045 | 2 | 105.492810 |
8 | Female | 58 | 58 | training | 2.9575275 | 3 | 114.318254 |
8 | Female | 58 | 58 | validation | 1.1909160 | 1 | 46.032854 |
8 | Female | 59 | 59 | testing | 2.6117490 | 3 | 100.952766 |
8 | Female | 59 | 59 | training | 3.1844168 | 4 | 123.088276 |
8 | Female | 59 | 59 | validation | 1.2537075 | 1 | 48.459956 |
8 | Female | 60 | 60 | testing | 2.5579351 | 3 | 98.872678 |
8 | Female | 60 | 60 | training | 3.0486341 | 2 | 117.839824 |
8 | Female | 60 | 60 | validation | 0.9054850 | 0 | 35.000000 |
8 | Female | 61 | 61 | testing | 0.9398557 | 1 | 36.328540 |
8 | Female | 61 | 61 | training | 3.2403027 | 0 | 125.248452 |
8 | Female | 61 | 61 | validation | 1.0348400 | 1 | 40.000000 |
8 | Female | 62 | 62 | testing | 0.7723581 | 2 | 29.854204 |
8 | Female | 62 | 62 | training | 2.9998140 | 1 | 115.952766 |
8 | Female | 62 | 62 | validation | 1.2494577 | 1 | 48.295686 |
8 | Female | 63 | 63 | testing | 0.6989949 | 1 | 27.018474 |
8 | Female | 63 | 63 | training | 3.3510644 | 4 | 129.529758 |
8 | Female | 63 | 63 | validation | 0.9830980 | 0 | 38.000000 |
8 | Female | 64 | 64 | testing | 1.0089690 | 0 | 39.000000 |
8 | Female | 64 | 64 | training | 2.9260788 | 3 | 113.102656 |
8 | Female | 64 | 64 | validation | 0.9657267 | 1 | 37.328540 |
8 | Female | 65 | 65 | testing | 0.6930452 | 2 | 26.788496 |
8 | Female | 65 | 65 | training | 2.9917923 | 6 | 115.642700 |
8 | Female | 65 | 65 | validation | 1.0433397 | 0 | 40.328540 |
8 | Female | 66 | 66 | testing | 0.7511090 | 1 | 29.032854 |
8 | Female | 66 | 66 | training | 2.4929656 | 2 | 96.361394 |
8 | Female | 66 | 66 | validation | 0.9679045 | 1 | 37.412722 |
8 | Female | 67 | 67 | testing | 0.8537430 | 0 | 33.000000 |
8 | Female | 67 | 67 | training | 2.1804417 | 0 | 84.281306 |
8 | Female | 67 | 67 | validation | 0.8537430 | 0 | 33.000000 |
8 | Female | 68 | 68 | testing | 0.8084287 | 1 | 31.248452 |
8 | Female | 68 | 68 | training | 2.2970472 | 2 | 88.788496 |
8 | Female | 68 | 68 | validation | 0.8338218 | 1 | 32.229978 |
8 | Female | 69 | 69 | testing | 0.6544247 | 1 | 25.295686 |
8 | Female | 69 | 69 | training | 2.4624728 | 2 | 95.182744 |
8 | Female | 69 | 69 | validation | 0.8613927 | 1 | 33.295686 |
8 | Female | 70 | 70 | testing | 1.7355349 | 2 | 67.084182 |
8 | Female | 70 | 70 | training | 1.8245695 | 0 | 70.525664 |
8 | Female | 70 | 70 | validation | 0.5691620 | 0 | 22.000000 |
8 | Female | 71 | 71 | testing | 1.2380361 | 0 | 47.854204 |
8 | Female | 71 | 71 | training | 1.7850990 | 0 | 69.000000 |
8 | Female | 71 | 71 | validation | 0.5691620 | 0 | 22.000000 |
8 | Female | 72 | 72 | testing | 1.4243388 | 4 | 55.055422 |
8 | Female | 72 | 72 | training | 1.6664215 | 4 | 64.412722 |
8 | Female | 72 | 72 | validation | 0.5174200 | 0 | 20.000000 |
8 | Female | 73 | 73 | testing | 0.9750763 | 1 | 37.689934 |
8 | Female | 73 | 73 | training | 1.9018104 | 2 | 73.511284 |
8 | Female | 73 | 73 | validation | 0.6595245 | 1 | 25.492810 |
8 | Female | 74 | 74 | testing | 0.9330559 | 0 | 36.065708 |
8 | Female | 74 | 74 | training | 1.5735091 | 1 | 60.821350 |
8 | Female | 74 | 74 | validation | 0.6438531 | 1 | 24.887058 |
8 | Female | 75 | 75 | testing | 0.8173004 | 2 | 31.591372 |
8 | Female | 75 | 75 | training | 1.4487760 | 0 | 56.000000 |
8 | Female | 75 | 75 | validation | 0.5318694 | 1 | 20.558518 |
8 | Female | 76 | 76 | testing | 0.8020010 | 0 | 31.000000 |
8 | Female | 76 | 76 | training | 1.3343484 | 0 | 51.576992 |
8 | Female | 76 | 76 | validation | 0.5182700 | 1 | 20.032854 |
8 | Female | 77 | 77 | testing | 0.7511090 | 1 | 29.032854 |
8 | Female | 77 | 77 | training | 1.3818405 | 2 | 53.412722 |
8 | Female | 77 | 77 | validation | 0.4360351 | 0 | 16.854204 |
8 | Female | 78 | 78 | testing | 0.7243880 | 1 | 28.000000 |
8 | Female | 78 | 78 | training | 0.9920756 | 1 | 38.347014 |
8 | Female | 78 | 78 | validation | 0.5386691 | 0 | 20.821350 |
8 | Female | 79 | 79 | testing | 0.9313560 | 0 | 36.000000 |
8 | Female | 79 | 79 | training | 0.9798041 | 2 | 37.872678 |
8 | Female | 79 | 79 | validation | 0.5127981 | 1 | 19.821350 |
8 | Female | 80 | 80 | testing | 0.8037009 | 0 | 31.065708 |
8 | Female | 80 | 80 | training | 1.1277524 | 1 | 43.591372 |
8 | Female | 80 | 80 | validation | 0.4656780 | 0 | 18.000000 |
8 | Female | 81 | 81 | testing | 0.5208199 | 0 | 20.131416 |
8 | Female | 81 | 81 | training | 0.9284341 | 2 | 35.887058 |
8 | Female | 81 | 81 | validation | 0.4695558 | 2 | 18.149890 |
8 | Female | 82 | 82 | testing | 1.0607110 | 0 | 41.000000 |
8 | Female | 82 | 82 | training | 0.8932135 | 1 | 34.525664 |
8 | Female | 82 | 82 | validation | 0.3490725 | 1 | 13.492810 |
8 | Female | 83 | 83 | testing | 1.1900660 | 0 | 46.000000 |
8 | Female | 83 | 83 | training | 0.8499711 | 1 | 32.854204 |
8 | Female | 83 | 83 | validation | 0.3363230 | 0 | 13.000000 |
8 | Female | 84 | 84 | testing | 1.1324802 | 1 | 43.774116 |
8 | Female | 84 | 84 | training | 0.7502590 | 0 | 29.000000 |
8 | Female | 84 | 84 | validation | 0.2421886 | 1 | 9.361394 |
8 | Female | 85 | 85 | testing | 0.4139360 | 0 | 16.000000 |
8 | Female | 85 | 85 | training | 0.8796140 | 0 | 34.000000 |
8 | Female | 85 | 85 | validation | 0.2447385 | 1 | 9.459956 |
8 | Female | 86 | 86 | testing | 0.3621940 | 0 | 14.000000 |
8 | Female | 86 | 86 | training | 0.7761300 | 0 | 30.000000 |
8 | Female | 86 | 86 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 87 | 87 | testing | 0.4656780 | 1 | 18.000000 |
8 | Female | 87 | 87 | training | 0.7345876 | 1 | 28.394248 |
8 | Female | 87 | 87 | validation | 0.2205675 | 0 | 8.525664 |
8 | Female | 88 | 88 | testing | 0.4334852 | 1 | 16.755642 |
8 | Female | 88 | 88 | training | 0.7362875 | 1 | 28.459956 |
8 | Female | 88 | 88 | validation | 0.2197175 | 1 | 8.492810 |
8 | Female | 89 | 89 | testing | 0.2845810 | 0 | 11.000000 |
8 | Female | 89 | 89 | training | 0.8020010 | 0 | 31.000000 |
8 | Female | 89 | 89 | validation | 0.1810970 | 0 | 7.000000 |
8 | Female | 90 | 90 | testing | 0.3363230 | 0 | 13.000000 |
8 | Female | 90 | 90 | training | 0.6243039 | 1 | 24.131416 |
8 | Female | 90 | 90 | validation | 0.1810970 | 0 | 7.000000 |
8 | Female | 91 | 91 | testing | 0.3104520 | 0 | 12.000000 |
8 | Female | 91 | 91 | training | 0.5989108 | 2 | 23.149890 |
8 | Female | 91 | 91 | validation | 0.1810970 | 0 | 7.000000 |
8 | Female | 92 | 92 | testing | 0.4915490 | 0 | 19.000000 |
8 | Female | 92 | 92 | training | 0.5950330 | 0 | 23.000000 |
8 | Female | 92 | 92 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 93 | 93 | testing | 0.2413387 | 1 | 9.328540 |
8 | Female | 93 | 93 | training | 0.4610561 | 0 | 17.821350 |
8 | Female | 93 | 93 | validation | 0.2587100 | 0 | 10.000000 |
8 | Female | 94 | 94 | testing | 0.6209040 | 0 | 24.000000 |
8 | Female | 94 | 94 | training | 0.3880650 | 0 | 15.000000 |
8 | Female | 94 | 94 | validation | 0.0776130 | 0 | 3.000000 |
8 | Female | 95 | 95 | testing | 0.5708619 | 0 | 22.065708 |
8 | Female | 95 | 95 | training | 0.3363230 | 0 | 13.000000 |
8 | Female | 95 | 95 | validation | 0.1620257 | 1 | 6.262832 |
8 | Female | 96 | 96 | testing | 0.4398070 | 0 | 17.000000 |
8 | Female | 96 | 96 | training | 0.4139360 | 0 | 16.000000 |
8 | Female | 96 | 96 | validation | 0.1034840 | 0 | 4.000000 |
8 | Female | 97 | 97 | testing | 0.2396387 | 1 | 9.262832 |
8 | Female | 97 | 97 | training | 0.3363230 | 0 | 13.000000 |
8 | Female | 97 | 97 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 98 | 98 | testing | 0.2587100 | 0 | 10.000000 |
8 | Female | 98 | 98 | training | 0.3880650 | 0 | 15.000000 |
8 | Female | 98 | 98 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 99 | 99 | testing | 0.1293550 | 0 | 5.000000 |
8 | Female | 99 | 99 | training | 0.2845810 | 0 | 11.000000 |
8 | Female | 99 | 99 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 100 | 100 | testing | 0.2413387 | 1 | 9.328540 |
8 | Female | 100 | 100 | training | 0.4656780 | 0 | 18.000000 |
8 | Female | 100 | 100 | validation | 0.1552260 | 0 | 6.000000 |
8 | Female | 101 | 101 | testing | 0.1552260 | 0 | 6.000000 |
8 | Female | 101 | 101 | training | 0.4398070 | 0 | 17.000000 |
8 | Female | 101 | 101 | validation | 0.1034840 | 0 | 4.000000 |
8 | Female | 102 | 102 | testing | 0.2328390 | 0 | 9.000000 |
8 | Female | 102 | 102 | training | 0.4656780 | 0 | 18.000000 |
8 | Female | 102 | 102 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 103 | 103 | testing | 0.2239673 | 1 | 8.657080 |
8 | Female | 103 | 103 | training | 0.4500066 | 1 | 17.394248 |
8 | Female | 103 | 103 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 104 | 104 | testing | 0.2328390 | 0 | 9.000000 |
8 | Female | 104 | 104 | training | 0.3104520 | 0 | 12.000000 |
8 | Female | 104 | 104 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 105 | 105 | testing | 0.2587100 | 0 | 10.000000 |
8 | Female | 105 | 105 | training | 0.3363230 | 0 | 13.000000 |
8 | Female | 105 | 105 | validation | 0.1034840 | 0 | 4.000000 |
8 | Female | 106 | 106 | testing | 0.2328390 | 0 | 9.000000 |
8 | Female | 106 | 106 | training | 0.1810970 | 0 | 7.000000 |
8 | Female | 106 | 106 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 107 | 107 | testing | 0.2845810 | 0 | 11.000000 |
8 | Female | 107 | 107 | training | 0.2069680 | 0 | 8.000000 |
8 | Female | 107 | 107 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 108 | 108 | testing | 0.2998804 | 1 | 11.591372 |
8 | Female | 108 | 108 | training | 0.1412545 | 1 | 5.459956 |
8 | Female | 108 | 108 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 109 | 109 | testing | 0.2069680 | 0 | 8.000000 |
8 | Female | 109 | 109 | training | 0.2328390 | 0 | 9.000000 |
8 | Female | 109 | 109 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 110 | 110 | testing | 0.1810970 | 0 | 7.000000 |
8 | Female | 110 | 110 | training | 0.1810970 | 0 | 7.000000 |
8 | Female | 110 | 110 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 111 | 111 | testing | 0.1810970 | 0 | 7.000000 |
8 | Female | 111 | 111 | training | 0.1293550 | 0 | 5.000000 |
8 | Female | 111 | 111 | validation | 0.0776130 | 0 | 3.000000 |
8 | Female | 112 | 112 | testing | 0.1810970 | 0 | 7.000000 |
8 | Female | 112 | 112 | training | 0.1810970 | 0 | 7.000000 |
8 | Female | 112 | 112 | validation | 0.0776130 | 0 | 3.000000 |
8 | Female | 113 | 113 | testing | 0.1552260 | 0 | 6.000000 |
8 | Female | 113 | 113 | training | 0.1293550 | 0 | 5.000000 |
8 | Female | 113 | 113 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 114 | 114 | testing | 0.1293550 | 0 | 5.000000 |
8 | Female | 114 | 114 | training | 0.1552260 | 0 | 6.000000 |
8 | Female | 114 | 114 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 115 | 115 | testing | 0.1034840 | 0 | 4.000000 |
8 | Female | 115 | 115 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 115 | 115 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 116 | 116 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 116 | 116 | training | 0.1293550 | 0 | 5.000000 |
8 | Female | 116 | 116 | validation | 0.1034840 | 0 | 4.000000 |
8 | Female | 117 | 117 | testing | 0.1293550 | 0 | 5.000000 |
8 | Female | 117 | 117 | training | 0.2328390 | 0 | 9.000000 |
8 | Female | 117 | 117 | validation | 0.1293550 | 0 | 5.000000 |
8 | Female | 118 | 118 | testing | 0.2328390 | 0 | 9.000000 |
8 | Female | 118 | 118 | training | 0.0793129 | 0 | 3.065708 |
8 | Female | 118 | 118 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 119 | 119 | testing | 0.2069680 | 0 | 8.000000 |
8 | Female | 119 | 119 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 119 | 119 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 120 | 120 | testing | 0.1552260 | 0 | 6.000000 |
8 | Female | 120 | 120 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 120 | 120 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 121 | 121 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 121 | 121 | training | 0.1552260 | 0 | 6.000000 |
8 | Female | 121 | 121 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 122 | 122 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 122 | 122 | training | 0.1293550 | 1 | 5.000000 |
8 | Female | 122 | 122 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 123 | 123 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 123 | 123 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 124 | 124 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 124 | 124 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 124 | 124 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 125 | 125 | testing | 0.1034840 | 0 | 4.000000 |
8 | Female | 125 | 125 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 126 | 126 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 126 | 126 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 126 | 126 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 127 | 127 | testing | 0.1034840 | 0 | 4.000000 |
8 | Female | 127 | 127 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 127 | 127 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 128 | 128 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 128 | 128 | training | 0.1552260 | 0 | 6.000000 |
8 | Female | 128 | 128 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 129 | 129 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 129 | 129 | training | 0.1293550 | 0 | 5.000000 |
8 | Female | 130 | 130 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 131 | 131 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 131 | 131 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 131 | 131 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 132 | 132 | testing | 0.0776130 | 0 | 3.000000 |
8 | Female | 132 | 132 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 132 | 132 | validation | 0.0517420 | 0 | 2.000000 |
8 | Female | 133 | 133 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 133 | 133 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 134 | 134 | training | 0.0869626 | 0 | 3.361394 |
8 | Female | 134 | 134 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 135 | 135 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 135 | 135 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 136 | 136 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 136 | 136 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 137 | 137 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 137 | 137 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 137 | 137 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 138 | 138 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 138 | 138 | training | 0.1034840 | 0 | 4.000000 |
8 | Female | 138 | 138 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 139 | 139 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 139 | 139 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 139 | 139 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 140 | 140 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 140 | 140 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 140 | 140 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 141 | 141 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 141 | 141 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 142 | 142 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 142 | 142 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 143 | 143 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 143 | 143 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 144 | 144 | testing | 0.0292709 | 1 | 1.131416 |
8 | Female | 144 | 144 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 145 | 145 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 145 | 145 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 146 | 146 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 147 | 147 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 147 | 147 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 148 | 148 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 148 | 148 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 149 | 149 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 149 | 149 | training | 0.0420204 | 1 | 1.624226 |
8 | Female | 149 | 149 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 150 | 150 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 150 | 150 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 151 | 151 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 151 | 151 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 152 | 152 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 152 | 152 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 152 | 152 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 153 | 153 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 154 | 154 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 154 | 154 | validation | 0.0258710 | 0 | 1.000000 |
8 | Female | 155 | 155 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 156 | 156 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 156 | 156 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 157 | 157 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 157 | 157 | training | 0.0776130 | 0 | 3.000000 |
8 | Female | 158 | 158 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 159 | 159 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 160 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 160 | training | 0.0008500 | 0 | 0.032854 |
8 | Female | 160 | 161 | testing | 0.0016999 | 1 | 0.065708 |
8 | Female | 160 | 161 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 162 | training | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 163 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 165 | training | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 166 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 170 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 171 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 173 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 174 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 175 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 177 | testing | 0.0258710 | 0 | 1.000000 |
8 | Female | 160 | 178 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 179 | testing | 0.0517420 | 0 | 2.000000 |
8 | Female | 160 | 180 | testing | 0.0258710 | 0 | 1.000000 |
8 | Male | 1 | 1 | testing | 2.7836674 | 2 | 12.954762 |
8 | Male | 1 | 1 | training | 15.1912639 | 11 | 70.697816 |
8 | Male | 1 | 1 | validation | 5.2567153 | 5 | 24.463948 |
8 | Male | 2 | 2 | testing | 3.8553675 | 2 | 32.069802 |
8 | Male | 2 | 2 | training | 22.7658724 | 21 | 189.371578 |
8 | Male | 2 | 2 | validation | 6.0536017 | 7 | 50.355202 |
8 | Male | 3 | 3 | testing | 5.6869835 | 2 | 58.420910 |
8 | Male | 3 | 3 | training | 25.6568911 | 22 | 263.566604 |
8 | Male | 3 | 3 | validation | 8.2919100 | 9 | 85.180646 |
8 | Male | 4 | 4 | testing | 11.1174455 | 10 | 146.962848 |
8 | Male | 4 | 4 | training | 45.2804557 | 43 | 598.567784 |
8 | Male | 4 | 4 | validation | 13.3572047 | 11 | 176.570494 |
8 | Male | 5 | 5 | testing | 8.5309374 | 4 | 137.938386 |
8 | Male | 5 | 5 | training | 37.9726781 | 26 | 613.987616 |
8 | Male | 5 | 5 | validation | 11.9965985 | 11 | 193.975334 |
8 | Male | 6 | 6 | testing | 7.8104489 | 8 | 144.464050 |
8 | Male | 6 | 6 | training | 32.8752883 | 38 | 608.069700 |
8 | Male | 6 | 6 | validation | 10.3106501 | 4 | 190.708408 |
8 | Male | 7 | 7 | testing | 7.0725136 | 7 | 143.351108 |
8 | Male | 7 | 7 | training | 28.1488326 | 27 | 570.542040 |
8 | Male | 7 | 7 | validation | 9.6593115 | 11 | 195.782304 |
8 | Male | 8 | 8 | testing | 6.0707348 | 6 | 131.398342 |
8 | Male | 8 | 8 | training | 26.3324800 | 19 | 569.954762 |
8 | Male | 8 | 8 | validation | 7.7886148 | 9 | 168.581086 |
8 | Male | 9 | 9 | testing | 6.3925967 | 6 | 144.858298 |
8 | Male | 9 | 9 | training | 24.0240256 | 16 | 544.392150 |
8 | Male | 9 | 9 | validation | 7.1152596 | 4 | 161.234072 |
8 | Male | 10 | 10 | testing | 11.2544678 | 8 | 263.632414 |
8 | Male | 10 | 10 | training | 18.6677137 | 11 | 437.285400 |
8 | Male | 10 | 10 | validation | 5.7891843 | 4 | 135.609846 |
8 | Male | 11 | 11 | testing | 9.4895124 | 9 | 228.453764 |
8 | Male | 11 | 11 | training | 18.1770105 | 9 | 437.599560 |
8 | Male | 11 | 11 | validation | 5.6315971 | 3 | 135.576992 |
8 | Male | 12 | 12 | testing | 9.5997043 | 7 | 237.088276 |
8 | Male | 12 | 12 | training | 16.2012361 | 17 | 400.129318 |
8 | Male | 12 | 12 | validation | 5.8691375 | 4 | 144.952766 |
8 | Male | 13 | 13 | testing | 4.9379948 | 5 | 125.186838 |
8 | Male | 13 | 13 | training | 15.8368011 | 16 | 401.490712 |
8 | Male | 13 | 13 | validation | 5.8509807 | 2 | 148.332634 |
8 | Male | 14 | 14 | testing | 4.5782746 | 5 | 119.219692 |
8 | Male | 14 | 14 | training | 14.9867927 | 11 | 390.260734 |
8 | Male | 14 | 14 | validation | 5.2610740 | 0 | 137.000000 |
8 | Male | 15 | 15 | testing | 4.0427640 | 1 | 108.000000 |
8 | Male | 15 | 15 | training | 14.6121663 | 12 | 390.355202 |
8 | Male | 15 | 15 | validation | 5.4370853 | 4 | 145.248452 |
8 | Male | 16 | 16 | testing | 4.1342238 | 3 | 112.919912 |
8 | Male | 16 | 16 | training | 13.2399361 | 5 | 361.628320 |
8 | Male | 16 | 16 | validation | 4.3767500 | 4 | 119.544138 |
8 | Male | 17 | 17 | testing | 3.5254305 | 3 | 98.018474 |
8 | Male | 17 | 17 | training | 13.9767604 | 13 | 388.599560 |
8 | Male | 17 | 17 | validation | 4.5325065 | 2 | 126.018474 |
8 | Male | 18 | 18 | testing | 3.5080391 | 3 | 98.854204 |
8 | Male | 18 | 18 | training | 12.9798610 | 12 | 365.763830 |
8 | Male | 18 | 18 | validation | 4.4610143 | 3 | 125.708408 |
8 | Male | 19 | 19 | testing | 3.3300923 | 1 | 94.755642 |
8 | Male | 19 | 19 | training | 12.8497856 | 10 | 365.632414 |
8 | Male | 19 | 19 | validation | 4.1378989 | 5 | 117.741262 |
8 | Male | 20 | 20 | testing | 3.5315509 | 3 | 101.135510 |
8 | Male | 20 | 20 | training | 12.7109449 | 12 | 364.012282 |
8 | Male | 20 | 20 | validation | 4.1674784 | 2 | 119.347014 |
8 | Male | 21 | 21 | testing | 3.3345550 | 2 | 95.839824 |
8 | Male | 21 | 21 | training | 11.3097957 | 12 | 325.059516 |
8 | Male | 21 | 21 | validation | 3.6333322 | 2 | 104.427102 |
8 | Male | 22 | 22 | testing | 5.5159179 | 5 | 158.726882 |
8 | Male | 22 | 22 | training | 9.6263115 | 8 | 277.008188 |
8 | Male | 22 | 22 | validation | 3.5395354 | 2 | 101.854204 |
8 | Male | 23 | 23 | testing | 4.9913156 | 10 | 143.548232 |
8 | Male | 23 | 23 | training | 9.2180268 | 7 | 265.106750 |
8 | Male | 23 | 23 | validation | 3.3205228 | 7 | 95.496904 |
8 | Male | 24 | 24 | testing | 5.0027916 | 6 | 143.613940 |
8 | Male | 24 | 24 | training | 9.4965066 | 9 | 272.613940 |
8 | Male | 24 | 24 | validation | 3.0654800 | 1 | 88.000000 |
8 | Male | 25 | 25 | testing | 1.7336223 | 2 | 49.624226 |
8 | Male | 25 | 25 | training | 9.5782148 | 6 | 274.172458 |
8 | Male | 25 | 25 | validation | 3.2123699 | 2 | 91.952766 |
8 | Male | 26 | 26 | testing | 1.9130399 | 1 | 54.558518 |
8 | Male | 26 | 26 | training | 9.2813749 | 9 | 264.698122 |
8 | Male | 26 | 26 | validation | 3.0230637 | 3 | 86.215598 |
8 | Male | 27 | 27 | testing | 1.5848100 | 0 | 45.000000 |
8 | Male | 27 | 27 | training | 8.3104351 | 5 | 235.971240 |
8 | Male | 27 | 27 | validation | 3.0796583 | 1 | 87.445576 |
8 | Male | 28 | 28 | testing | 2.1456126 | 2 | 60.624226 |
8 | Male | 28 | 28 | training | 8.0661775 | 8 | 227.909626 |
8 | Male | 28 | 28 | validation | 3.2583895 | 1 | 92.065708 |
8 | Male | 29 | 29 | testing | 2.0809402 | 2 | 58.492810 |
8 | Male | 29 | 29 | training | 7.9038617 | 3 | 222.168364 |
8 | Male | 29 | 29 | validation | 2.8565993 | 1 | 80.295686 |
8 | Male | 30 | 30 | testing | 1.8878222 | 2 | 52.788496 |
8 | Male | 30 | 30 | training | 8.4008380 | 10 | 234.909626 |
8 | Male | 30 | 30 | validation | 3.3241768 | 3 | 92.952766 |
8 | Male | 31 | 31 | testing | 1.6124189 | 0 | 44.854204 |
8 | Male | 31 | 31 | training | 7.1178512 | 6 | 198.004094 |
8 | Male | 31 | 31 | validation | 2.7651170 | 3 | 76.919912 |
8 | Male | 32 | 32 | testing | 1.7706640 | 0 | 49.000000 |
8 | Male | 32 | 32 | training | 7.5248944 | 5 | 208.238166 |
8 | Male | 32 | 32 | validation | 2.6314723 | 2 | 72.821350 |
8 | Male | 33 | 33 | testing | 1.5619750 | 0 | 43.000000 |
8 | Male | 33 | 33 | training | 6.8745987 | 8 | 189.252546 |
8 | Male | 33 | 33 | validation | 2.3998368 | 2 | 66.065708 |
8 | Male | 34 | 34 | testing | 3.2228290 | 2 | 88.262832 |
8 | Male | 34 | 34 | training | 6.3247943 | 5 | 173.215598 |
8 | Male | 34 | 34 | validation | 2.0389353 | 3 | 55.839824 |
8 | Male | 35 | 35 | testing | 3.4673030 | 5 | 94.464050 |
8 | Male | 35 | 35 | training | 5.6527203 | 4 | 154.004094 |
8 | Male | 35 | 35 | validation | 1.6198436 | 2 | 44.131416 |
8 | Male | 36 | 36 | testing | 3.2549538 | 7 | 88.219692 |
8 | Male | 36 | 36 | training | 5.2877192 | 2 | 143.314160 |
8 | Male | 36 | 36 | validation | 1.9071518 | 2 | 51.689934 |
8 | Male | 37 | 37 | testing | 1.6940606 | 0 | 45.675554 |
8 | Male | 37 | 37 | training | 5.3676235 | 3 | 144.722788 |
8 | Male | 37 | 37 | validation | 2.1530657 | 2 | 58.051328 |
8 | Male | 38 | 38 | testing | 1.9082462 | 1 | 51.182744 |
8 | Male | 38 | 38 | training | 5.8689712 | 4 | 157.416816 |
8 | Male | 38 | 38 | validation | 1.6063076 | 1 | 43.084182 |
8 | Male | 39 | 39 | testing | 1.3750287 | 1 | 36.689934 |
8 | Male | 39 | 39 | training | 5.3641361 | 3 | 143.131416 |
8 | Male | 39 | 39 | validation | 1.4874597 | 1 | 39.689934 |
8 | Male | 40 | 40 | testing | 1.4310323 | 1 | 37.985620 |
8 | Male | 40 | 40 | training | 5.3275957 | 5 | 141.416816 |
8 | Male | 40 | 40 | validation | 2.0109798 | 1 | 53.379868 |
8 | Male | 41 | 41 | testing | 1.5254128 | 3 | 40.281306 |
8 | Male | 41 | 41 | training | 5.8300373 | 2 | 153.952766 |
8 | Male | 41 | 41 | validation | 1.7327204 | 4 | 45.755642 |
8 | Male | 42 | 42 | testing | 1.7142657 | 1 | 45.032854 |
8 | Male | 42 | 42 | training | 4.7510269 | 2 | 124.806970 |
8 | Male | 42 | 42 | validation | 1.4422466 | 0 | 37.887058 |
8 | Male | 43 | 43 | testing | 1.5777063 | 1 | 41.229978 |
8 | Male | 43 | 43 | training | 5.0631336 | 4 | 132.314160 |
8 | Male | 43 | 43 | validation | 1.6837040 | 1 | 44.000000 |
8 | Male | 44 | 44 | testing | 1.2309120 | 0 | 32.000000 |
8 | Male | 44 | 44 | training | 4.8802844 | 5 | 126.872678 |
8 | Male | 44 | 44 | validation | 1.2719055 | 2 | 33.065708 |
8 | Male | 45 | 45 | testing | 1.1777647 | 0 | 30.459956 |
8 | Male | 45 | 45 | training | 4.5366253 | 0 | 117.328540 |
8 | Male | 45 | 45 | validation | 1.3425913 | 2 | 34.722788 |
8 | Male | 46 | 46 | testing | 2.6278595 | 2 | 67.609846 |
8 | Male | 46 | 46 | training | 3.7880736 | 0 | 97.459956 |
8 | Male | 46 | 46 | validation | 0.9622023 | 1 | 24.755642 |
8 | Male | 47 | 47 | testing | 2.9387486 | 4 | 75.215598 |
8 | Male | 47 | 47 | training | 3.5626010 | 3 | 91.182744 |
8 | Male | 47 | 47 | validation | 0.6873125 | 2 | 17.591372 |
8 | Male | 48 | 48 | testing | 2.4081136 | 1 | 61.314160 |
8 | Male | 48 | 48 | training | 3.6687847 | 1 | 93.412722 |
8 | Male | 48 | 48 | validation | 1.2697034 | 1 | 32.328540 |
8 | Male | 49 | 49 | testing | 1.0659600 | 0 | 27.000000 |
8 | Male | 49 | 49 | training | 3.2762723 | 3 | 82.985620 |
8 | Male | 49 | 49 | validation | 0.9443581 | 1 | 23.919912 |
8 | Male | 50 | 50 | testing | 0.9921500 | 0 | 25.000000 |
8 | Male | 50 | 50 | training | 3.1834362 | 1 | 80.215598 |
8 | Male | 50 | 50 | validation | 0.6388875 | 1 | 16.098562 |
8 | Male | 51 | 51 | testing | 0.9765180 | 2 | 24.478430 |
8 | Male | 51 | 51 | training | 2.9560139 | 1 | 74.098562 |
8 | Male | 51 | 51 | validation | 1.0372180 | 0 | 26.000000 |
8 | Male | 52 | 52 | testing | 0.8822440 | 0 | 22.000000 |
8 | Male | 52 | 52 | training | 3.7492487 | 2 | 93.492810 |
8 | Male | 52 | 52 | validation | 0.7363286 | 0 | 18.361394 |
8 | Male | 53 | 53 | testing | 0.9271530 | 0 | 23.000000 |
8 | Male | 53 | 53 | training | 3.1794365 | 2 | 78.872678 |
8 | Male | 53 | 53 | validation | 0.8868420 | 0 | 22.000000 |
8 | Male | 54 | 54 | testing | 0.8914620 | 0 | 22.000000 |
8 | Male | 54 | 54 | training | 3.0390750 | 0 | 75.000000 |
8 | Male | 54 | 54 | validation | 0.9319830 | 0 | 23.000000 |
8 | Male | 55 | 55 | testing | 0.8226895 | 0 | 20.197124 |
8 | Male | 55 | 55 | training | 3.1551764 | 1 | 77.459956 |
8 | Male | 55 | 55 | validation | 0.7425617 | 1 | 18.229978 |
8 | Male | 56 | 56 | testing | 0.8961260 | 1 | 22.000000 |
8 | Male | 56 | 56 | training | 2.7799642 | 1 | 68.248452 |
8 | Male | 56 | 56 | validation | 0.6109950 | 0 | 15.000000 |
8 | Male | 57 | 57 | testing | 0.7739270 | 0 | 19.000000 |
8 | Male | 57 | 57 | training | 3.1044900 | 4 | 76.215598 |
8 | Male | 57 | 57 | validation | 0.9322585 | 1 | 22.887058 |
8 | Male | 58 | 58 | testing | 1.4218070 | 1 | 34.905532 |
8 | Male | 58 | 58 | training | 2.3058889 | 1 | 56.609846 |
8 | Male | 58 | 58 | validation | 0.6924610 | 0 | 17.000000 |
8 | Male | 59 | 59 | testing | 1.2581225 | 0 | 30.887058 |
8 | Male | 59 | 59 | training | 2.0773830 | 0 | 51.000000 |
8 | Male | 59 | 59 | validation | 0.4887960 | 0 | 12.000000 |
8 | Male | 60 | 60 | testing | 1.2127891 | 2 | 29.774116 |
8 | Male | 60 | 60 | training | 2.3712960 | 2 | 58.215598 |
8 | Male | 60 | 60 | validation | 0.6517280 | 0 | 16.000000 |
8 | Male | 61 | 61 | testing | 0.4887960 | 0 | 12.000000 |
8 | Male | 61 | 61 | training | 2.4093525 | 3 | 59.149890 |
8 | Male | 61 | 61 | validation | 0.4547542 | 1 | 11.164270 |
8 | Male | 62 | 62 | testing | 0.5702620 | 0 | 14.000000 |
8 | Male | 62 | 62 | training | 2.0987949 | 1 | 51.525664 |
8 | Male | 62 | 62 | validation | 0.5702620 | 0 | 14.000000 |
8 | Male | 63 | 63 | testing | 0.6624339 | 0 | 16.262832 |
8 | Male | 63 | 63 | training | 1.8924534 | 1 | 46.459956 |
8 | Male | 63 | 63 | validation | 0.3566436 | 1 | 8.755642 |
8 | Male | 64 | 64 | testing | 0.4480630 | 0 | 11.000000 |
8 | Male | 64 | 64 | training | 2.0052847 | 1 | 49.229978 |
8 | Male | 64 | 64 | validation | 0.4887960 | 0 | 12.000000 |
8 | Male | 65 | 65 | testing | 0.4887960 | 0 | 12.000000 |
8 | Male | 65 | 65 | training | 1.8056344 | 1 | 44.328540 |
8 | Male | 65 | 65 | validation | 0.5702620 | 0 | 14.000000 |
8 | Male | 66 | 66 | testing | 0.4073300 | 0 | 10.000000 |
8 | Male | 66 | 66 | training | 1.4090104 | 1 | 34.591372 |
8 | Male | 66 | 66 | validation | 0.6517280 | 0 | 16.000000 |
8 | Male | 67 | 67 | testing | 0.5702620 | 0 | 14.000000 |
8 | Male | 67 | 67 | training | 1.7107860 | 0 | 42.000000 |
8 | Male | 67 | 67 | validation | 0.2851310 | 0 | 7.000000 |
8 | Male | 68 | 68 | testing | 0.6517280 | 1 | 16.000000 |
8 | Male | 68 | 68 | training | 1.6207048 | 0 | 39.788496 |
8 | Male | 68 | 68 | validation | 0.4480630 | 0 | 11.000000 |
8 | Male | 69 | 69 | testing | 0.4887960 | 0 | 12.000000 |
8 | Male | 69 | 69 | training | 1.6962321 | 3 | 41.642700 |
8 | Male | 69 | 69 | validation | 0.3405847 | 1 | 8.361394 |
8 | Male | 70 | 70 | testing | 1.1185264 | 1 | 27.459956 |
8 | Male | 70 | 70 | training | 1.1472152 | 1 | 28.164270 |
8 | Male | 70 | 70 | validation | 0.5522791 | 1 | 13.558518 |
8 | Male | 71 | 71 | testing | 0.6937992 | 0 | 17.032854 |
8 | Male | 71 | 71 | training | 0.6109950 | 0 | 15.000000 |
8 | Male | 71 | 71 | validation | 0.3239400 | 2 | 7.952766 |
8 | Male | 72 | 72 | testing | 0.6109950 | 0 | 15.000000 |
8 | Male | 72 | 72 | training | 0.9215526 | 1 | 22.624226 |
8 | Male | 72 | 72 | validation | 0.3298787 | 1 | 8.098562 |
8 | Male | 73 | 73 | testing | 0.3025281 | 1 | 7.427102 |
8 | Male | 73 | 73 | training | 0.6985665 | 2 | 17.149890 |
8 | Male | 73 | 73 | validation | 0.2851310 | 0 | 7.000000 |
8 | Male | 74 | 74 | testing | 0.3665970 | 0 | 9.000000 |
8 | Male | 74 | 74 | training | 0.8146600 | 0 | 20.000000 |
8 | Male | 74 | 74 | validation | 0.3665970 | 1 | 9.000000 |
8 | Male | 75 | 75 | testing | 0.2443980 | 0 | 6.000000 |
8 | Male | 75 | 75 | training | 1.0517810 | 1 | 25.821350 |
8 | Male | 75 | 75 | validation | 0.2851310 | 0 | 7.000000 |
8 | Male | 76 | 76 | testing | 0.4073300 | 0 | 10.000000 |
8 | Male | 76 | 76 | training | 0.7739270 | 0 | 19.000000 |
8 | Male | 76 | 76 | validation | 0.2036650 | 0 | 5.000000 |
8 | Male | 77 | 77 | testing | 0.3665970 | 0 | 9.000000 |
8 | Male | 77 | 77 | training | 0.5536174 | 2 | 13.591372 |
8 | Male | 77 | 77 | validation | 0.3392464 | 0 | 8.328540 |
8 | Male | 78 | 78 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 78 | 78 | training | 0.6924610 | 0 | 17.000000 |
8 | Male | 78 | 78 | validation | 0.3258640 | 0 | 8.000000 |
8 | Male | 79 | 79 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 79 | 79 | training | 0.7331940 | 0 | 18.000000 |
8 | Male | 79 | 79 | validation | 0.3665970 | 0 | 9.000000 |
8 | Male | 80 | 80 | testing | 0.3665970 | 0 | 9.000000 |
8 | Male | 80 | 80 | training | 0.8146600 | 0 | 20.000000 |
8 | Male | 80 | 80 | validation | 0.2443980 | 0 | 6.000000 |
8 | Male | 81 | 81 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 81 | 81 | training | 0.6924610 | 0 | 17.000000 |
8 | Male | 81 | 81 | validation | 0.1629320 | 0 | 4.000000 |
8 | Male | 82 | 82 | testing | 0.7739270 | 0 | 19.000000 |
8 | Male | 82 | 82 | training | 0.5061931 | 1 | 12.427102 |
8 | Male | 82 | 82 | validation | 0.1629320 | 0 | 4.000000 |
8 | Male | 83 | 83 | testing | 0.3665970 | 0 | 9.000000 |
8 | Male | 83 | 83 | training | 0.3665970 | 0 | 9.000000 |
8 | Male | 83 | 83 | validation | 0.1221990 | 0 | 3.000000 |
8 | Male | 84 | 84 | testing | 0.5249285 | 0 | 12.887058 |
8 | Male | 84 | 84 | training | 0.3258640 | 0 | 8.000000 |
8 | Male | 84 | 84 | validation | 0.0814660 | 0 | 2.000000 |
8 | Male | 85 | 85 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 85 | 85 | training | 0.2985134 | 0 | 7.328540 |
8 | Male | 85 | 85 | validation | 0.1221990 | 0 | 3.000000 |
8 | Male | 86 | 86 | testing | 0.2684864 | 1 | 6.591372 |
8 | Male | 86 | 86 | training | 0.5702620 | 0 | 14.000000 |
8 | Male | 86 | 86 | validation | 0.0854807 | 1 | 2.098562 |
8 | Male | 87 | 87 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 87 | 87 | training | 0.2050032 | 0 | 5.032854 |
8 | Male | 88 | 88 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 88 | 88 | training | 0.2851310 | 0 | 7.000000 |
8 | Male | 88 | 88 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 89 | 89 | testing | 0.2036650 | 0 | 5.000000 |
8 | Male | 89 | 89 | training | 0.1629320 | 0 | 4.000000 |
8 | Male | 89 | 89 | validation | 0.0814660 | 0 | 2.000000 |
8 | Male | 90 | 90 | testing | 0.3258640 | 0 | 8.000000 |
8 | Male | 90 | 90 | training | 0.1629320 | 0 | 4.000000 |
8 | Male | 90 | 90 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 91 | 91 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 91 | 91 | training | 0.3258640 | 0 | 8.000000 |
8 | Male | 91 | 91 | validation | 0.0814660 | 0 | 2.000000 |
8 | Male | 92 | 92 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 92 | 92 | training | 0.2036650 | 0 | 5.000000 |
8 | Male | 92 | 92 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 93 | 93 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 93 | 93 | training | 0.3619965 | 1 | 8.887058 |
8 | Male | 93 | 93 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 94 | 94 | testing | 0.3665970 | 0 | 9.000000 |
8 | Male | 94 | 94 | training | 0.2036650 | 0 | 5.000000 |
8 | Male | 95 | 95 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 95 | 95 | training | 0.3258640 | 0 | 8.000000 |
8 | Male | 96 | 96 | testing | 0.2851310 | 0 | 7.000000 |
8 | Male | 96 | 96 | training | 0.2036650 | 0 | 5.000000 |
8 | Male | 97 | 97 | testing | 0.1355814 | 0 | 3.328540 |
8 | Male | 97 | 97 | training | 0.1629320 | 0 | 4.000000 |
8 | Male | 98 | 98 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 98 | 98 | training | 0.2443980 | 0 | 6.000000 |
8 | Male | 98 | 98 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 99 | 99 | training | 0.1221990 | 0 | 3.000000 |
8 | Male | 99 | 99 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 100 | 100 | testing | 0.0814660 | 0 | 2.000000 |
8 | Male | 100 | 100 | training | 0.1629320 | 0 | 4.000000 |
8 | Male | 100 | 100 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 101 | 101 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 101 | 101 | training | 0.2036650 | 0 | 5.000000 |
8 | Male | 102 | 102 | testing | 0.0814660 | 0 | 2.000000 |
8 | Male | 102 | 102 | training | 0.0814660 | 0 | 2.000000 |
8 | Male | 103 | 103 | testing | 0.0814660 | 0 | 2.000000 |
8 | Male | 103 | 103 | training | 0.1629320 | 0 | 4.000000 |
8 | Male | 103 | 103 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 104 | 104 | testing | 0.0407330 | 0 | 1.000000 |
8 | Male | 104 | 104 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 105 | 105 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 105 | 105 | training | 0.1221990 | 0 | 3.000000 |
8 | Male | 105 | 105 | validation | 0.0407330 | 0 | 1.000000 |
8 | Male | 106 | 106 | testing | 0.2443980 | 0 | 6.000000 |
8 | Male | 106 | 106 | training | 0.0814660 | 0 | 2.000000 |
8 | Male | 107 | 107 | testing | 0.2036650 | 0 | 5.000000 |
8 | Male | 107 | 107 | training | 0.1221990 | 0 | 3.000000 |
8 | Male | 108 | 108 | testing | 0.2036650 | 0 | 5.000000 |
8 | Male | 108 | 108 | training | 0.0814660 | 0 | 2.000000 |
8 | Male | 109 | 109 | testing | 0.0814660 | 0 | 2.000000 |
8 | Male | 110 | 110 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 110 | 110 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 111 | 111 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 111 | 111 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 112 | 112 | testing | 0.0407330 | 0 | 1.000000 |
8 | Male | 112 | 112 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
8 | Male | 113 | 113 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 114 | 114 | testing | 0.2036650 | 0 | 5.000000 |
8 | Male | 114 | 114 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 115 | 115 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 116 | 116 | testing | 0.1629320 | 0 | 4.000000 |
8 | Male | 116 | 116 | training | 0.0407330 | 0 | 1.000000 |
8 | Male | 117 | 117 | testing | 0.0908337 | 0 | 2.229978 |
8 | Male | 118 | 118 | testing | 0.1221990 | 0 | 3.000000 |
8 | Male | 120 | 120 | testing | 0.2443980 | 0 | 6.000000 |
8 | Male | 121 | 121 | testing | 0.0407330 | 0 | 1.000000 |
9 | Female | 1 | 1 | testing | 3.6683929 | 2 | 28.753442 |
9 | Female | 1 | 1 | training | 17.3813234 | 9 | 136.237554 |
9 | Female | 1 | 1 | validation | 5.7272320 | 12 | 44.890948 |
9 | Female | 2 | 2 | testing | 8.1020351 | 3 | 73.679648 |
9 | Female | 2 | 2 | training | 39.5663430 | 34 | 359.815056 |
9 | Female | 2 | 2 | validation | 11.7694230 | 9 | 107.030756 |
9 | Female | 3 | 3 | testing | 9.6180865 | 5 | 115.823346 |
9 | Female | 3 | 3 | training | 41.1463672 | 42 | 495.494602 |
9 | Female | 3 | 3 | validation | 12.6679235 | 13 | 152.550228 |
9 | Female | 4 | 4 | testing | 14.2321589 | 10 | 266.769614 |
9 | Female | 4 | 4 | training | 59.6020437 | 60 | 1117.189198 |
9 | Female | 4 | 4 | validation | 20.3828425 | 8 | 382.058904 |
9 | Female | 5 | 5 | testing | 10.5809761 | 15 | 268.928100 |
9 | Female | 5 | 5 | training | 46.7837037 | 47 | 1189.063508 |
9 | Female | 5 | 5 | validation | 15.1026611 | 17 | 383.852106 |
9 | Female | 6 | 6 | testing | 8.9739700 | 8 | 261.730976 |
9 | Female | 6 | 6 | training | 38.8217519 | 29 | 1132.258636 |
9 | Female | 6 | 6 | validation | 12.9095828 | 7 | 376.515378 |
9 | Female | 7 | 7 | testing | 8.2828074 | 10 | 276.139604 |
9 | Female | 7 | 7 | training | 34.0810923 | 33 | 1136.225782 |
9 | Female | 7 | 7 | validation | 11.9054270 | 12 | 396.913720 |
9 | Female | 8 | 8 | testing | 6.8480024 | 9 | 257.792590 |
9 | Female | 8 | 8 | training | 31.0892599 | 27 | 1170.353104 |
9 | Female | 8 | 8 | validation | 9.7968239 | 12 | 368.800778 |
9 | Female | 9 | 9 | testing | 5.6735445 | 2 | 231.365488 |
9 | Female | 9 | 9 | training | 27.5025543 | 19 | 1121.546134 |
9 | Female | 9 | 9 | validation | 8.5156796 | 5 | 347.266926 |
9 | Female | 10 | 10 | testing | 11.8722300 | 10 | 499.336728 |
9 | Female | 10 | 10 | training | 20.2894706 | 19 | 853.359296 |
9 | Female | 10 | 10 | validation | 6.7595116 | 5 | 284.299780 |
9 | Female | 11 | 11 | testing | 11.7817366 | 10 | 502.355202 |
9 | Female | 11 | 11 | training | 20.0211075 | 18 | 853.669362 |
9 | Female | 11 | 11 | validation | 6.3811903 | 4 | 272.084182 |
9 | Female | 12 | 12 | testing | 11.1690739 | 12 | 479.297682 |
9 | Female | 12 | 12 | training | 20.3285887 | 18 | 872.359296 |
9 | Female | 12 | 12 | validation | 6.1669688 | 5 | 264.642700 |
9 | Female | 13 | 13 | testing | 5.8059967 | 1 | 251.887058 |
9 | Female | 13 | 13 | training | 19.3543788 | 16 | 839.669362 |
9 | Female | 13 | 13 | validation | 6.5876136 | 7 | 285.796684 |
9 | Female | 14 | 14 | testing | 5.5252034 | 7 | 247.478430 |
9 | Female | 14 | 14 | training | 18.0591656 | 21 | 808.884960 |
9 | Female | 14 | 14 | validation | 5.9194154 | 3 | 265.135510 |
9 | Female | 15 | 15 | testing | 4.8738140 | 1 | 229.788496 |
9 | Female | 15 | 15 | training | 16.7348192 | 21 | 789.006090 |
9 | Female | 15 | 15 | validation | 5.6649423 | 7 | 267.088276 |
9 | Female | 16 | 16 | testing | 5.0871879 | 6 | 252.478430 |
9 | Female | 16 | 16 | training | 16.1248258 | 15 | 800.279208 |
9 | Female | 16 | 16 | validation | 4.8668728 | 4 | 241.544138 |
9 | Female | 17 | 17 | testing | 4.5086128 | 8 | 232.271020 |
9 | Female | 17 | 17 | training | 14.6651888 | 14 | 755.509186 |
9 | Female | 17 | 17 | validation | 5.0962443 | 1 | 262.544138 |
9 | Female | 18 | 18 | testing | 4.0351638 | 1 | 212.131416 |
9 | Female | 18 | 18 | training | 14.0141745 | 16 | 736.735070 |
9 | Female | 18 | 18 | validation | 5.1206677 | 2 | 269.197124 |
9 | Female | 19 | 19 | testing | 4.2301117 | 2 | 223.248452 |
9 | Female | 19 | 19 | training | 13.6855913 | 11 | 722.271020 |
9 | Female | 19 | 19 | validation | 4.6832686 | 2 | 247.164270 |
9 | Female | 20 | 20 | testing | 4.6586958 | 2 | 244.051328 |
9 | Female | 20 | 20 | training | 13.6732502 | 10 | 716.289494 |
9 | Female | 20 | 20 | validation | 5.1769601 | 4 | 271.201218 |
9 | Female | 21 | 21 | testing | 4.3760004 | 3 | 226.149890 |
9 | Female | 21 | 21 | training | 13.6077377 | 16 | 703.242260 |
9 | Female | 21 | 21 | validation | 4.8978146 | 2 | 253.117036 |
9 | Female | 22 | 22 | testing | 7.4562436 | 9 | 378.989714 |
9 | Female | 22 | 22 | training | 11.1295449 | 10 | 565.698122 |
9 | Female | 22 | 22 | validation | 4.0802744 | 1 | 207.394248 |
9 | Female | 23 | 23 | testing | 7.3064480 | 6 | 365.158078 |
9 | Female | 23 | 23 | training | 11.4797012 | 4 | 573.726882 |
9 | Female | 23 | 23 | validation | 4.2071490 | 1 | 210.262832 |
9 | Female | 24 | 24 | testing | 6.7444138 | 11 | 332.696024 |
9 | Female | 24 | 24 | training | 12.1750628 | 14 | 600.585180 |
9 | Female | 24 | 24 | validation | 4.0754210 | 5 | 201.036948 |
9 | Female | 25 | 25 | testing | 3.2395216 | 5 | 159.135510 |
9 | Female | 25 | 25 | training | 11.8386607 | 11 | 581.552326 |
9 | Female | 25 | 25 | validation | 4.0788402 | 4 | 200.365488 |
9 | Female | 26 | 26 | testing | 2.7821733 | 8 | 137.445576 |
9 | Female | 26 | 26 | training | 11.3831940 | 12 | 562.355202 |
9 | Female | 26 | 26 | validation | 3.7378286 | 1 | 184.657080 |
9 | Female | 27 | 27 | testing | 3.0670308 | 1 | 153.328540 |
9 | Female | 27 | 27 | training | 11.0573863 | 14 | 552.786398 |
9 | Female | 27 | 27 | validation | 3.7304976 | 5 | 186.496904 |
9 | Female | 28 | 28 | testing | 2.5939585 | 3 | 131.299780 |
9 | Female | 28 | 28 | training | 10.7529024 | 3 | 544.285400 |
9 | Female | 28 | 28 | validation | 3.7815497 | 4 | 191.412722 |
9 | Female | 29 | 29 | testing | 2.3934094 | 1 | 122.131416 |
9 | Female | 29 | 29 | training | 10.7251109 | 17 | 547.283302 |
9 | Female | 29 | 29 | validation | 3.5715229 | 3 | 182.248452 |
9 | Female | 30 | 30 | testing | 2.2602744 | 5 | 115.544138 |
9 | Female | 30 | 30 | training | 10.1869007 | 13 | 520.749450 |
9 | Female | 30 | 30 | validation | 3.4477722 | 2 | 176.248452 |
9 | Female | 31 | 31 | testing | 2.4995312 | 4 | 127.299780 |
9 | Female | 31 | 31 | training | 9.8283449 | 10 | 500.552326 |
9 | Female | 31 | 31 | validation | 3.5684897 | 3 | 181.741262 |
9 | Female | 32 | 32 | testing | 2.4324096 | 2 | 122.985620 |
9 | Female | 32 | 32 | training | 9.6187678 | 4 | 486.336728 |
9 | Female | 32 | 32 | validation | 3.0300137 | 4 | 153.201218 |
9 | Female | 33 | 33 | testing | 2.2385916 | 1 | 112.131416 |
9 | Female | 33 | 33 | training | 9.4850312 | 9 | 475.106750 |
9 | Female | 33 | 33 | validation | 3.3739977 | 5 | 169.004094 |
9 | Female | 34 | 34 | testing | 4.8866997 | 3 | 242.215598 |
9 | Female | 34 | 34 | training | 7.7472826 | 4 | 384.004094 |
9 | Female | 34 | 34 | validation | 2.5169451 | 1 | 124.755642 |
9 | Female | 35 | 35 | testing | 4.9919193 | 0 | 244.689934 |
9 | Female | 35 | 35 | training | 7.4344675 | 8 | 364.416816 |
9 | Female | 35 | 35 | validation | 2.3381555 | 3 | 114.609846 |
9 | Female | 36 | 36 | testing | 5.1149728 | 7 | 247.866486 |
9 | Female | 36 | 36 | training | 7.3133642 | 5 | 354.398342 |
9 | Female | 36 | 36 | validation | 2.5362786 | 3 | 122.905532 |
9 | Female | 37 | 37 | testing | 2.4338944 | 2 | 116.576992 |
9 | Female | 37 | 37 | training | 7.3465687 | 7 | 351.880866 |
9 | Female | 37 | 37 | validation | 2.5933733 | 2 | 124.215598 |
9 | Female | 38 | 38 | testing | 2.2742558 | 1 | 107.657080 |
9 | Female | 38 | 38 | training | 7.7522674 | 3 | 366.971240 |
9 | Female | 38 | 38 | validation | 2.5188198 | 3 | 119.234072 |
9 | Female | 39 | 39 | testing | 2.4937784 | 1 | 116.657080 |
9 | Female | 39 | 39 | training | 7.2343363 | 9 | 338.416816 |
9 | Female | 39 | 39 | validation | 2.4275404 | 3 | 113.558518 |
9 | Female | 40 | 40 | testing | 2.3359449 | 2 | 107.985620 |
9 | Female | 40 | 40 | training | 7.9179773 | 6 | 366.030756 |
9 | Female | 40 | 40 | validation | 2.3902690 | 4 | 110.496904 |
9 | Female | 41 | 41 | testing | 2.3689477 | 3 | 108.215598 |
9 | Female | 41 | 41 | training | 6.6674490 | 11 | 304.574894 |
9 | Female | 41 | 41 | validation | 2.2979254 | 3 | 104.971240 |
9 | Female | 42 | 42 | testing | 2.1463390 | 1 | 96.887058 |
9 | Female | 42 | 42 | training | 6.2709360 | 7 | 283.073896 |
9 | Female | 42 | 42 | validation | 2.3547683 | 0 | 106.295686 |
9 | Female | 43 | 43 | testing | 2.3177650 | 3 | 103.383962 |
9 | Female | 43 | 43 | training | 6.6895618 | 8 | 298.388056 |
9 | Female | 43 | 43 | validation | 2.0034849 | 3 | 89.365488 |
9 | Female | 44 | 44 | testing | 2.2688929 | 2 | 100.004094 |
9 | Female | 44 | 44 | training | 6.7892084 | 10 | 299.242260 |
9 | Female | 44 | 44 | validation | 2.2405680 | 1 | 98.755642 |
9 | Female | 45 | 45 | testing | 2.0619680 | 1 | 89.806970 |
9 | Female | 45 | 45 | training | 6.4986223 | 5 | 283.041042 |
9 | Female | 45 | 45 | validation | 2.1681403 | 2 | 94.431196 |
9 | Female | 46 | 46 | testing | 3.5483326 | 3 | 152.708408 |
9 | Female | 46 | 46 | training | 5.4513944 | 4 | 234.609846 |
9 | Female | 46 | 46 | validation | 1.5904014 | 1 | 68.445576 |
9 | Female | 47 | 47 | testing | 3.9550098 | 6 | 168.190932 |
9 | Female | 47 | 47 | training | 5.5979695 | 6 | 238.059516 |
9 | Female | 47 | 47 | validation | 1.4645449 | 2 | 62.281306 |
9 | Female | 48 | 48 | testing | 3.3214085 | 5 | 139.566706 |
9 | Female | 48 | 48 | training | 5.2836931 | 3 | 222.022568 |
9 | Female | 48 | 48 | validation | 1.8270704 | 3 | 76.774116 |
9 | Female | 49 | 49 | testing | 1.4304511 | 1 | 59.394248 |
9 | Female | 49 | 49 | training | 5.2413605 | 4 | 217.628320 |
9 | Female | 49 | 49 | validation | 1.5039393 | 2 | 62.445576 |
9 | Female | 50 | 50 | testing | 1.2430230 | 0 | 51.000000 |
9 | Female | 50 | 50 | training | 4.6961811 | 6 | 192.679648 |
9 | Female | 50 | 50 | validation | 1.6498068 | 1 | 67.689934 |
9 | Female | 51 | 51 | testing | 1.4306280 | 0 | 58.000000 |
9 | Female | 51 | 51 | training | 5.1278432 | 5 | 207.891152 |
9 | Female | 51 | 51 | validation | 1.4868987 | 2 | 60.281306 |
9 | Female | 52 | 52 | testing | 1.3717309 | 2 | 54.952766 |
9 | Female | 52 | 52 | training | 4.9020343 | 2 | 196.379868 |
9 | Female | 52 | 52 | validation | 1.6913163 | 2 | 67.755642 |
9 | Female | 53 | 53 | testing | 1.2754989 | 0 | 50.492810 |
9 | Female | 53 | 53 | training | 4.5914327 | 4 | 181.759736 |
9 | Female | 53 | 53 | validation | 1.4051236 | 2 | 55.624226 |
9 | Female | 54 | 54 | testing | 1.5955188 | 3 | 62.412722 |
9 | Female | 54 | 54 | training | 4.3217328 | 3 | 169.055422 |
9 | Female | 54 | 54 | validation | 1.4202980 | 1 | 55.558518 |
9 | Female | 55 | 55 | testing | 1.6180794 | 3 | 62.544138 |
9 | Female | 55 | 55 | training | 4.5611575 | 7 | 176.303874 |
9 | Female | 55 | 55 | validation | 1.6244012 | 2 | 62.788496 |
9 | Female | 56 | 56 | testing | 1.2159370 | 0 | 47.000000 |
9 | Female | 56 | 56 | training | 4.2624991 | 3 | 164.759736 |
9 | Female | 56 | 56 | validation | 1.4564257 | 1 | 56.295686 |
9 | Female | 57 | 57 | testing | 1.2935500 | 0 | 50.000000 |
9 | Female | 57 | 57 | training | 4.3260347 | 5 | 167.215598 |
9 | Female | 57 | 57 | validation | 1.2753287 | 1 | 49.295686 |
9 | Female | 58 | 58 | testing | 2.7678250 | 1 | 106.985620 |
9 | Female | 58 | 58 | training | 3.3980786 | 2 | 131.347014 |
9 | Female | 58 | 58 | validation | 1.0836601 | 1 | 41.887058 |
9 | Female | 59 | 59 | testing | 2.6515915 | 2 | 102.492810 |
9 | Female | 59 | 59 | training | 3.1456904 | 0 | 121.591372 |
9 | Female | 59 | 59 | validation | 0.7939793 | 3 | 30.689934 |
9 | Female | 60 | 60 | testing | 2.5965555 | 4 | 100.365488 |
9 | Female | 60 | 60 | training | 2.9981141 | 2 | 115.887058 |
9 | Female | 60 | 60 | validation | 1.0348400 | 0 | 40.000000 |
9 | Female | 61 | 61 | testing | 1.3452920 | 0 | 52.000000 |
9 | Female | 61 | 61 | training | 2.9294787 | 4 | 113.234072 |
9 | Female | 61 | 61 | validation | 0.8278720 | 0 | 32.000000 |
9 | Female | 62 | 62 | testing | 1.1641950 | 0 | 45.000000 |
9 | Female | 62 | 62 | training | 2.8716810 | 2 | 111.000000 |
9 | Female | 62 | 62 | validation | 0.7528089 | 0 | 29.098562 |
9 | Female | 63 | 63 | testing | 1.1150029 | 1 | 43.098562 |
9 | Female | 63 | 63 | training | 2.9222010 | 2 | 112.952766 |
9 | Female | 63 | 63 | validation | 0.8898136 | 0 | 34.394248 |
9 | Female | 64 | 64 | testing | 1.2159370 | 0 | 47.000000 |
9 | Female | 64 | 64 | training | 2.9477000 | 3 | 113.938386 |
9 | Female | 64 | 64 | validation | 0.6680241 | 3 | 25.821350 |
9 | Female | 65 | 65 | testing | 1.0607110 | 0 | 41.000000 |
9 | Female | 65 | 65 | training | 2.7832303 | 5 | 107.581086 |
9 | Female | 65 | 65 | validation | 0.7243880 | 0 | 28.000000 |
9 | Female | 66 | 66 | testing | 1.1510735 | 3 | 44.492810 |
9 | Female | 66 | 66 | training | 2.6129710 | 0 | 101.000000 |
9 | Female | 66 | 66 | validation | 0.7502590 | 1 | 29.000000 |
9 | Female | 67 | 67 | testing | 0.9407056 | 1 | 36.361394 |
9 | Female | 67 | 67 | training | 2.3658944 | 4 | 91.449670 |
9 | Female | 67 | 67 | validation | 0.8796140 | 0 | 34.000000 |
9 | Female | 68 | 68 | testing | 0.9830980 | 0 | 38.000000 |
9 | Female | 68 | 68 | training | 2.4318740 | 0 | 94.000000 |
9 | Female | 68 | 68 | validation | 0.6726460 | 0 | 26.000000 |
9 | Female | 69 | 69 | testing | 1.2215147 | 2 | 47.215598 |
9 | Female | 69 | 69 | training | 2.2287838 | 2 | 86.149890 |
9 | Female | 69 | 69 | validation | 0.7638585 | 1 | 29.525664 |
9 | Female | 70 | 70 | testing | 1.7656557 | 4 | 68.248452 |
9 | Female | 70 | 70 | training | 1.7304351 | 2 | 66.887058 |
9 | Female | 70 | 70 | validation | 0.4398070 | 0 | 17.000000 |
9 | Female | 71 | 71 | testing | 1.8173977 | 2 | 70.248452 |
9 | Female | 71 | 71 | training | 1.5781310 | 1 | 61.000000 |
9 | Female | 71 | 71 | validation | 0.5174200 | 0 | 20.000000 |
9 | Female | 72 | 72 | testing | 1.4318826 | 1 | 55.347014 |
9 | Female | 72 | 72 | training | 1.4060116 | 2 | 54.347014 |
9 | Female | 72 | 72 | validation | 0.5432910 | 1 | 21.000000 |
9 | Female | 73 | 73 | testing | 0.7502590 | 0 | 29.000000 |
9 | Female | 73 | 73 | training | 1.5442383 | 0 | 59.689934 |
9 | Female | 73 | 73 | validation | 0.4915490 | 0 | 19.000000 |
9 | Female | 74 | 74 | testing | 0.5174200 | 0 | 20.000000 |
9 | Female | 74 | 74 | training | 1.4674752 | 1 | 56.722788 |
9 | Female | 74 | 74 | validation | 0.5819115 | 0 | 22.492810 |
9 | Female | 75 | 75 | testing | 0.5509407 | 0 | 21.295686 |
9 | Female | 75 | 75 | training | 1.4305547 | 2 | 55.295686 |
9 | Female | 75 | 75 | validation | 0.5662401 | 1 | 21.887058 |
9 | Female | 76 | 76 | testing | 0.4996766 | 1 | 19.314160 |
9 | Female | 76 | 76 | training | 1.2159370 | 0 | 47.000000 |
9 | Female | 76 | 76 | validation | 0.5115762 | 2 | 19.774116 |
9 | Female | 77 | 77 | testing | 0.5950330 | 0 | 23.000000 |
9 | Female | 77 | 77 | training | 1.0777103 | 1 | 41.657080 |
9 | Female | 77 | 77 | validation | 0.3363230 | 0 | 13.000000 |
9 | Female | 78 | 78 | testing | 0.4139360 | 0 | 16.000000 |
9 | Female | 78 | 78 | training | 1.0896098 | 1 | 42.117036 |
9 | Female | 78 | 78 | validation | 0.5432910 | 0 | 21.000000 |
9 | Female | 79 | 79 | testing | 0.6985170 | 0 | 27.000000 |
9 | Female | 79 | 79 | training | 1.1794944 | 2 | 45.591372 |
9 | Female | 79 | 79 | validation | 0.5182700 | 0 | 20.032854 |
9 | Female | 80 | 80 | testing | 0.5691620 | 0 | 22.000000 |
9 | Female | 80 | 80 | training | 1.1464516 | 0 | 44.314160 |
9 | Female | 80 | 80 | validation | 0.3524724 | 1 | 13.624226 |
9 | Female | 81 | 81 | testing | 0.5174200 | 2 | 20.000000 |
9 | Female | 81 | 81 | training | 1.1527734 | 1 | 44.558518 |
9 | Female | 81 | 81 | validation | 0.4656780 | 0 | 18.000000 |
9 | Female | 82 | 82 | testing | 1.0632609 | 1 | 41.098562 |
9 | Female | 82 | 82 | training | 1.0098190 | 1 | 39.032854 |
9 | Female | 82 | 82 | validation | 0.2587100 | 0 | 10.000000 |
9 | Female | 83 | 83 | testing | 0.8278720 | 0 | 32.000000 |
9 | Female | 83 | 83 | training | 0.8953913 | 1 | 34.609846 |
9 | Female | 83 | 83 | validation | 0.3499225 | 0 | 13.525664 |
9 | Female | 84 | 84 | testing | 0.6921952 | 1 | 26.755642 |
9 | Female | 84 | 84 | training | 0.8020010 | 1 | 31.000000 |
9 | Female | 84 | 84 | validation | 0.2328390 | 0 | 9.000000 |
9 | Female | 85 | 85 | testing | 0.3880650 | 0 | 15.000000 |
9 | Female | 85 | 85 | training | 0.8329718 | 1 | 32.197124 |
9 | Female | 85 | 85 | validation | 0.2370888 | 1 | 9.164270 |
9 | Female | 86 | 86 | testing | 0.3104520 | 0 | 12.000000 |
9 | Female | 86 | 86 | training | 0.8881137 | 0 | 34.328540 |
9 | Female | 86 | 86 | validation | 0.2328390 | 0 | 9.000000 |
9 | Female | 87 | 87 | testing | 0.3015803 | 1 | 11.657080 |
9 | Female | 87 | 87 | training | 0.8020010 | 0 | 31.000000 |
9 | Female | 87 | 87 | validation | 0.2845810 | 0 | 11.000000 |
9 | Female | 88 | 88 | testing | 0.4139360 | 0 | 16.000000 |
9 | Female | 88 | 88 | training | 0.8190003 | 1 | 31.657080 |
9 | Female | 88 | 88 | validation | 0.2328390 | 0 | 9.000000 |
9 | Female | 89 | 89 | testing | 0.2845810 | 0 | 11.000000 |
9 | Female | 89 | 89 | training | 0.8593207 | 2 | 33.215598 |
9 | Female | 89 | 89 | validation | 0.2069680 | 0 | 8.000000 |
9 | Female | 90 | 90 | testing | 0.4139360 | 0 | 16.000000 |
9 | Female | 90 | 90 | training | 0.8020010 | 0 | 31.000000 |
9 | Female | 90 | 90 | validation | 0.2587100 | 0 | 10.000000 |
9 | Female | 91 | 91 | testing | 0.2845810 | 0 | 11.000000 |
9 | Female | 91 | 91 | training | 0.6209040 | 0 | 24.000000 |
9 | Female | 91 | 91 | validation | 0.3880650 | 0 | 15.000000 |
9 | Female | 92 | 92 | testing | 0.3104520 | 0 | 12.000000 |
9 | Female | 92 | 92 | training | 0.4398070 | 0 | 17.000000 |
9 | Female | 92 | 92 | validation | 0.2069680 | 0 | 8.000000 |
9 | Female | 93 | 93 | testing | 0.2328390 | 0 | 9.000000 |
9 | Female | 93 | 93 | training | 0.6726460 | 0 | 26.000000 |
9 | Female | 93 | 93 | validation | 0.3363230 | 1 | 13.000000 |
9 | Female | 94 | 94 | testing | 0.3965647 | 1 | 15.328540 |
9 | Female | 94 | 94 | training | 0.4915490 | 0 | 19.000000 |
9 | Female | 94 | 94 | validation | 0.1552260 | 0 | 6.000000 |
9 | Female | 95 | 95 | testing | 0.3880650 | 0 | 15.000000 |
9 | Female | 95 | 95 | training | 0.5500907 | 1 | 21.262832 |
9 | Female | 95 | 95 | validation | 0.1810970 | 0 | 7.000000 |
9 | Female | 96 | 96 | testing | 0.4139360 | 0 | 16.000000 |
9 | Female | 96 | 96 | training | 0.5136481 | 1 | 19.854204 |
9 | Female | 96 | 96 | validation | 0.1552260 | 1 | 6.000000 |
9 | Female | 97 | 97 | testing | 0.2328390 | 0 | 9.000000 |
9 | Female | 97 | 97 | training | 0.6387533 | 1 | 24.689934 |
9 | Female | 97 | 97 | validation | 0.1034840 | 0 | 4.000000 |
9 | Female | 98 | 98 | testing | 0.1810970 | 0 | 7.000000 |
9 | Female | 98 | 98 | training | 0.4398070 | 0 | 17.000000 |
9 | Female | 98 | 98 | validation | 0.1005621 | 0 | 3.887058 |
9 | Female | 99 | 99 | testing | 0.1119837 | 1 | 4.328540 |
9 | Female | 99 | 99 | training | 0.4084642 | 2 | 15.788496 |
9 | Female | 99 | 99 | validation | 0.1552260 | 0 | 6.000000 |
9 | Female | 100 | 100 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 100 | 100 | training | 0.4585062 | 1 | 17.722788 |
9 | Female | 100 | 100 | validation | 0.1293550 | 0 | 5.000000 |
9 | Female | 101 | 101 | testing | 0.2328390 | 0 | 9.000000 |
9 | Female | 101 | 101 | training | 0.4266855 | 1 | 16.492810 |
9 | Female | 101 | 101 | validation | 0.0776130 | 0 | 3.000000 |
9 | Female | 102 | 102 | testing | 0.0776130 | 0 | 3.000000 |
9 | Female | 102 | 102 | training | 0.3516224 | 1 | 13.591372 |
9 | Female | 102 | 102 | validation | 0.1034840 | 0 | 4.000000 |
9 | Female | 103 | 103 | testing | 0.2006462 | 0 | 7.755642 |
9 | Female | 103 | 103 | training | 0.3575721 | 1 | 13.821350 |
9 | Female | 103 | 103 | validation | 0.1293550 | 0 | 5.000000 |
9 | Female | 104 | 104 | testing | 0.1810970 | 0 | 7.000000 |
9 | Female | 104 | 104 | training | 0.4139360 | 0 | 16.000000 |
9 | Female | 104 | 104 | validation | 0.1293550 | 0 | 5.000000 |
9 | Female | 105 | 105 | testing | 0.1552260 | 0 | 6.000000 |
9 | Female | 105 | 105 | training | 0.4139360 | 0 | 16.000000 |
9 | Female | 105 | 105 | validation | 0.0776130 | 0 | 3.000000 |
9 | Female | 106 | 106 | testing | 0.1810970 | 0 | 7.000000 |
9 | Female | 106 | 106 | training | 0.2587100 | 0 | 10.000000 |
9 | Female | 106 | 106 | validation | 0.1293550 | 1 | 5.000000 |
9 | Female | 107 | 107 | testing | 0.2587100 | 0 | 10.000000 |
9 | Female | 107 | 107 | training | 0.1506041 | 1 | 5.821350 |
9 | Female | 107 | 107 | validation | 0.0776130 | 0 | 3.000000 |
9 | Female | 108 | 108 | testing | 0.2757093 | 0 | 10.657080 |
9 | Female | 108 | 108 | training | 0.1552260 | 0 | 6.000000 |
9 | Female | 108 | 108 | validation | 0.1293550 | 0 | 5.000000 |
9 | Female | 109 | 109 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 109 | 109 | training | 0.1247331 | 0 | 4.821350 |
9 | Female | 109 | 109 | validation | 0.0776130 | 0 | 3.000000 |
9 | Female | 110 | 110 | testing | 0.2069680 | 1 | 8.000000 |
9 | Female | 110 | 110 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 110 | 110 | validation | 0.1187834 | 0 | 4.591372 |
9 | Female | 111 | 111 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 111 | 111 | training | 0.2523882 | 0 | 9.755642 |
9 | Female | 111 | 111 | validation | 0.1034840 | 0 | 4.000000 |
9 | Female | 112 | 112 | testing | 0.1810970 | 0 | 7.000000 |
9 | Female | 112 | 112 | training | 0.1972464 | 1 | 7.624226 |
9 | Female | 112 | 112 | validation | 0.1034840 | 1 | 4.000000 |
9 | Female | 113 | 113 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 113 | 113 | training | 0.2587100 | 0 | 10.000000 |
9 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
9 | Female | 114 | 114 | testing | 0.1247331 | 1 | 4.821350 |
9 | Female | 114 | 114 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 114 | 114 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 115 | 115 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 115 | 115 | training | 0.1552260 | 0 | 6.000000 |
9 | Female | 115 | 115 | validation | 0.0517420 | 0 | 2.000000 |
9 | Female | 116 | 116 | testing | 0.1293550 | 0 | 5.000000 |
9 | Female | 116 | 116 | training | 0.1552260 | 0 | 6.000000 |
9 | Female | 116 | 116 | validation | 0.0517420 | 0 | 2.000000 |
9 | Female | 117 | 117 | testing | 0.1552260 | 0 | 6.000000 |
9 | Female | 117 | 117 | training | 0.0869626 | 0 | 3.361394 |
9 | Female | 117 | 117 | validation | 0.1034840 | 0 | 4.000000 |
9 | Female | 118 | 118 | testing | 0.1552260 | 0 | 6.000000 |
9 | Female | 118 | 118 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 118 | 118 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 119 | 119 | testing | 0.2328390 | 0 | 9.000000 |
9 | Female | 119 | 119 | training | 0.1810970 | 0 | 7.000000 |
9 | Female | 119 | 119 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 120 | 120 | testing | 0.2069680 | 0 | 8.000000 |
9 | Female | 120 | 120 | training | 0.1552260 | 0 | 6.000000 |
9 | Female | 120 | 120 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 121 | 121 | testing | 0.0776130 | 0 | 3.000000 |
9 | Female | 121 | 121 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 122 | 122 | testing | 0.0776130 | 0 | 3.000000 |
9 | Female | 122 | 122 | training | 0.0835628 | 1 | 3.229978 |
9 | Female | 123 | 123 | testing | 0.0776130 | 0 | 3.000000 |
9 | Female | 123 | 123 | training | 0.1552260 | 0 | 6.000000 |
9 | Female | 124 | 124 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 124 | 124 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 124 | 124 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 125 | 125 | testing | 0.0776130 | 0 | 3.000000 |
9 | Female | 125 | 125 | training | 0.1810970 | 0 | 7.000000 |
9 | Female | 126 | 126 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 126 | 126 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 127 | 127 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 127 | 127 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 128 | 128 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 128 | 128 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 128 | 128 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 129 | 129 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 129 | 129 | training | 0.0776130 | 0 | 3.000000 |
9 | Female | 129 | 129 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 130 | 130 | testing | 0.1293550 | 0 | 5.000000 |
9 | Female | 130 | 130 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 131 | 131 | testing | 0.1034840 | 0 | 4.000000 |
9 | Female | 131 | 131 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 132 | 132 | testing | 0.1068839 | 0 | 4.131416 |
9 | Female | 132 | 132 | training | 0.0920624 | 1 | 3.558518 |
9 | Female | 132 | 132 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 133 | 133 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 133 | 133 | training | 0.0784630 | 1 | 3.032854 |
9 | Female | 133 | 133 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 134 | 134 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 134 | 134 | training | 0.0776130 | 0 | 3.000000 |
9 | Female | 134 | 134 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 135 | 135 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 136 | 136 | training | 0.1293550 | 0 | 5.000000 |
9 | Female | 136 | 136 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 137 | 137 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 137 | 137 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 137 | 137 | validation | 0.0258710 | 0 | 1.000000 |
9 | Female | 138 | 138 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 138 | 138 | training | 0.1034840 | 0 | 4.000000 |
9 | Female | 139 | 139 | training | 0.0776130 | 0 | 3.000000 |
9 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 140 | 140 | training | 0.0517420 | 0 | 2.000000 |
9 | Female | 141 | 141 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 141 | 141 | training | 0.0517420 | 0 | 2.000000 |
9 | Female | 142 | 142 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 142 | 142 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 143 | 143 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 143 | 143 | training | 0.0517420 | 0 | 2.000000 |
9 | Female | 144 | 144 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 146 | 146 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 146 | 146 | training | 0.0517420 | 0 | 2.000000 |
9 | Female | 147 | 147 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 147 | 147 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 148 | 148 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 148 | 148 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 149 | 149 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 149 | 149 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 150 | 150 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 151 | 151 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 152 | 152 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 152 | 152 | training | 0.0517420 | 0 | 2.000000 |
9 | Female | 153 | 153 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 154 | 154 | testing | 0.0517420 | 0 | 2.000000 |
9 | Female | 155 | 155 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 157 | 157 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 159 | 159 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 160 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 161 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 161 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 162 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 162 | training | 0.0016999 | 1 | 0.065708 |
9 | Female | 160 | 163 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 165 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 166 | testing | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 169 | training | 0.0178493 | 0 | 0.689934 |
9 | Female | 160 | 172 | training | 0.0258710 | 0 | 1.000000 |
9 | Female | 160 | 173 | training | 0.0178493 | 0 | 0.689934 |
9 | Male | 1 | 1 | testing | 2.5255545 | 2 | 11.753544 |
9 | Male | 1 | 1 | training | 16.7765696 | 10 | 78.075586 |
9 | Male | 1 | 1 | validation | 4.4316293 | 2 | 20.624124 |
9 | Male | 2 | 2 | testing | 3.7921732 | 2 | 31.544138 |
9 | Male | 2 | 2 | training | 20.6031849 | 17 | 171.381864 |
9 | Male | 2 | 2 | validation | 6.3313132 | 8 | 52.665268 |
9 | Male | 3 | 3 | testing | 3.8022486 | 4 | 39.059516 |
9 | Male | 3 | 3 | training | 23.7777555 | 13 | 244.262730 |
9 | Male | 3 | 3 | validation | 8.5757503 | 5 | 88.096464 |
9 | Male | 4 | 4 | testing | 10.9176815 | 6 | 144.322144 |
9 | Male | 4 | 4 | training | 45.1171937 | 31 | 596.409604 |
9 | Male | 4 | 4 | validation | 15.6875394 | 12 | 207.375468 |
9 | Male | 5 | 5 | testing | 9.4882164 | 7 | 153.416816 |
9 | Male | 5 | 5 | training | 38.3245778 | 25 | 619.677550 |
9 | Male | 5 | 5 | validation | 11.8241412 | 8 | 191.186838 |
9 | Male | 6 | 6 | testing | 7.7269650 | 1 | 142.919912 |
9 | Male | 6 | 6 | training | 33.9257280 | 23 | 627.498900 |
9 | Male | 6 | 6 | validation | 10.4389829 | 14 | 193.082084 |
9 | Male | 7 | 7 | testing | 6.9016078 | 2 | 139.887058 |
9 | Male | 7 | 7 | training | 28.2945132 | 19 | 573.494806 |
9 | Male | 7 | 7 | validation | 8.6478538 | 2 | 175.281306 |
9 | Male | 8 | 8 | testing | 6.1941589 | 5 | 134.069802 |
9 | Male | 8 | 8 | training | 27.2335425 | 13 | 589.457858 |
9 | Male | 8 | 8 | validation | 9.8516274 | 6 | 213.234072 |
9 | Male | 9 | 9 | testing | 5.7720577 | 8 | 130.796684 |
9 | Male | 9 | 9 | training | 23.2644819 | 18 | 527.180646 |
9 | Male | 9 | 9 | validation | 8.2415265 | 2 | 186.755642 |
9 | Male | 10 | 10 | testing | 9.5216221 | 11 | 223.041042 |
9 | Male | 10 | 10 | training | 19.2026091 | 15 | 449.815158 |
9 | Male | 10 | 10 | validation | 6.8179519 | 6 | 159.708408 |
9 | Male | 11 | 11 | testing | 9.9183693 | 8 | 238.778210 |
9 | Male | 11 | 11 | training | 17.7748502 | 13 | 427.917814 |
9 | Male | 11 | 11 | validation | 6.3582134 | 5 | 153.069802 |
9 | Male | 12 | 12 | testing | 9.5177256 | 10 | 235.063610 |
9 | Male | 12 | 12 | training | 17.1996013 | 18 | 424.786398 |
9 | Male | 12 | 12 | validation | 5.4296508 | 2 | 134.098562 |
9 | Male | 13 | 13 | testing | 4.8926374 | 4 | 124.036948 |
9 | Male | 13 | 13 | training | 16.1025487 | 14 | 408.227880 |
9 | Male | 13 | 13 | validation | 6.0254463 | 4 | 152.755642 |
9 | Male | 14 | 14 | testing | 4.6850440 | 0 | 122.000000 |
9 | Male | 14 | 14 | training | 14.3002889 | 10 | 372.383962 |
9 | Male | 14 | 14 | validation | 4.8779207 | 5 | 127.022568 |
9 | Male | 15 | 15 | testing | 4.3318511 | 2 | 115.722788 |
9 | Male | 15 | 15 | training | 14.8881104 | 9 | 397.726882 |
9 | Male | 15 | 15 | validation | 5.1131781 | 4 | 136.595466 |
9 | Male | 16 | 16 | testing | 3.7435203 | 4 | 102.248452 |
9 | Male | 16 | 16 | training | 13.6356008 | 9 | 372.435290 |
9 | Male | 16 | 16 | validation | 4.3966720 | 5 | 120.088276 |
9 | Male | 17 | 17 | testing | 3.9057059 | 3 | 108.591372 |
9 | Male | 17 | 17 | training | 14.1819274 | 9 | 394.303874 |
9 | Male | 17 | 17 | validation | 4.4139705 | 2 | 122.722788 |
9 | Male | 18 | 18 | testing | 3.3499140 | 4 | 94.398342 |
9 | Male | 18 | 18 | training | 12.5073814 | 8 | 352.449670 |
9 | Male | 18 | 18 | validation | 4.2184347 | 3 | 118.872678 |
9 | Male | 19 | 19 | testing | 3.5917596 | 5 | 102.201218 |
9 | Male | 19 | 19 | training | 11.8876914 | 8 | 338.256640 |
9 | Male | 19 | 19 | validation | 4.1235381 | 4 | 117.332634 |
9 | Male | 20 | 20 | testing | 3.4548295 | 6 | 98.938386 |
9 | Male | 20 | 20 | training | 12.0817578 | 10 | 345.993808 |
9 | Male | 20 | 20 | validation | 4.3392768 | 3 | 124.266926 |
9 | Male | 21 | 21 | testing | 3.1850952 | 4 | 91.544138 |
9 | Male | 21 | 21 | training | 11.3537335 | 8 | 326.322348 |
9 | Male | 21 | 21 | validation | 4.1078602 | 1 | 118.065708 |
9 | Male | 22 | 22 | testing | 5.5027171 | 3 | 158.347014 |
9 | Male | 22 | 22 | training | 9.8620763 | 5 | 283.792590 |
9 | Male | 22 | 22 | validation | 2.9846612 | 0 | 85.887058 |
9 | Male | 23 | 23 | testing | 5.7236490 | 4 | 164.609846 |
9 | Male | 23 | 23 | training | 9.2575096 | 10 | 266.242260 |
9 | Male | 23 | 23 | validation | 2.4385395 | 1 | 70.131416 |
9 | Male | 24 | 24 | testing | 5.7227393 | 5 | 164.281306 |
9 | Male | 24 | 24 | training | 9.3319883 | 7 | 267.891152 |
9 | Male | 24 | 24 | validation | 2.9758531 | 1 | 85.427102 |
9 | Male | 25 | 25 | testing | 2.6288047 | 2 | 75.248452 |
9 | Male | 25 | 25 | training | 8.1475299 | 4 | 233.219692 |
9 | Male | 25 | 25 | validation | 2.5245020 | 1 | 72.262832 |
9 | Male | 26 | 26 | testing | 2.7247676 | 3 | 77.708408 |
9 | Male | 26 | 26 | training | 8.9569437 | 7 | 255.445576 |
9 | Male | 26 | 26 | validation | 2.8247039 | 3 | 80.558518 |
9 | Male | 27 | 27 | testing | 2.3602566 | 2 | 67.018474 |
9 | Male | 27 | 27 | training | 8.1546656 | 9 | 231.548232 |
9 | Male | 27 | 27 | validation | 3.0495749 | 1 | 86.591372 |
9 | Male | 28 | 28 | testing | 2.0992468 | 2 | 59.314160 |
9 | Male | 28 | 28 | training | 8.0603636 | 7 | 227.745356 |
9 | Male | 28 | 28 | validation | 2.3817289 | 2 | 67.295686 |
9 | Male | 29 | 29 | testing | 2.2028628 | 2 | 61.919912 |
9 | Male | 29 | 29 | training | 7.9230743 | 4 | 222.708408 |
9 | Male | 29 | 29 | validation | 3.0012410 | 1 | 84.361394 |
9 | Male | 30 | 30 | testing | 2.4318160 | 0 | 68.000000 |
9 | Male | 30 | 30 | training | 8.5223696 | 9 | 238.307968 |
9 | Male | 30 | 30 | validation | 2.6463880 | 0 | 74.000000 |
9 | Male | 31 | 31 | testing | 2.0991564 | 0 | 58.394248 |
9 | Male | 31 | 31 | training | 8.2146708 | 6 | 228.515378 |
9 | Male | 31 | 31 | validation | 2.4203264 | 0 | 67.328540 |
9 | Male | 32 | 32 | testing | 2.3233889 | 0 | 64.295686 |
9 | Male | 32 | 32 | training | 7.9068087 | 5 | 218.806970 |
9 | Male | 32 | 32 | validation | 2.3127040 | 0 | 64.000000 |
9 | Male | 33 | 33 | testing | 2.1586895 | 2 | 59.427102 |
9 | Male | 33 | 33 | training | 6.6774593 | 7 | 183.825444 |
9 | Male | 33 | 33 | validation | 2.1223645 | 0 | 58.427102 |
9 | Male | 34 | 34 | testing | 3.6933871 | 3 | 101.149890 |
9 | Male | 34 | 34 | training | 6.3050752 | 3 | 172.675554 |
9 | Male | 34 | 34 | validation | 2.1178120 | 0 | 58.000000 |
9 | Male | 35 | 35 | testing | 3.5700322 | 2 | 97.262832 |
9 | Male | 35 | 35 | training | 5.2809969 | 6 | 143.876772 |
9 | Male | 35 | 35 | validation | 1.8214572 | 2 | 49.624226 |
9 | Male | 36 | 36 | testing | 4.0249210 | 2 | 109.088276 |
9 | Male | 36 | 36 | training | 5.9336645 | 3 | 160.821350 |
9 | Male | 36 | 36 | validation | 1.8860142 | 3 | 51.117036 |
9 | Male | 37 | 37 | testing | 1.6690050 | 1 | 45.000000 |
9 | Male | 37 | 37 | training | 5.1767711 | 5 | 139.576992 |
9 | Male | 37 | 37 | validation | 1.5584232 | 2 | 42.018474 |
9 | Male | 38 | 38 | testing | 1.8189815 | 1 | 48.788496 |
9 | Male | 38 | 38 | training | 5.3701295 | 4 | 144.036948 |
9 | Male | 38 | 38 | validation | 1.5842594 | 0 | 42.492810 |
9 | Male | 39 | 39 | testing | 1.3049997 | 2 | 34.821350 |
9 | Male | 39 | 39 | training | 4.8966354 | 3 | 130.657080 |
9 | Male | 39 | 39 | validation | 1.5636449 | 1 | 41.722788 |
9 | Male | 40 | 40 | testing | 1.4600413 | 0 | 38.755642 |
9 | Male | 40 | 40 | training | 5.8543217 | 5 | 155.398342 |
9 | Male | 40 | 40 | validation | 1.4513773 | 1 | 38.525664 |
9 | Male | 41 | 41 | testing | 1.6178693 | 3 | 42.722788 |
9 | Male | 41 | 41 | training | 5.0038396 | 4 | 132.135510 |
9 | Male | 41 | 41 | validation | 1.4825672 | 1 | 39.149890 |
9 | Male | 42 | 42 | testing | 1.7130150 | 0 | 45.000000 |
9 | Male | 42 | 42 | training | 4.8714812 | 3 | 127.971240 |
9 | Male | 42 | 42 | validation | 1.6382875 | 3 | 43.036948 |
9 | Male | 43 | 43 | testing | 1.2854074 | 1 | 33.591372 |
9 | Male | 43 | 43 | training | 4.9201272 | 3 | 128.576992 |
9 | Male | 43 | 43 | validation | 1.3468531 | 0 | 35.197124 |
9 | Male | 44 | 44 | testing | 1.6540380 | 0 | 43.000000 |
9 | Male | 44 | 44 | training | 4.5656845 | 6 | 118.694028 |
9 | Male | 44 | 44 | validation | 1.4062600 | 1 | 36.558518 |
9 | Male | 45 | 45 | testing | 1.3692683 | 2 | 35.412722 |
9 | Male | 45 | 45 | training | 4.1374203 | 4 | 107.004094 |
9 | Male | 45 | 45 | validation | 1.1993603 | 3 | 31.018474 |
9 | Male | 46 | 46 | testing | 2.5652880 | 1 | 66.000000 |
9 | Male | 46 | 46 | training | 3.7188766 | 7 | 95.679648 |
9 | Male | 46 | 46 | validation | 0.7384920 | 0 | 19.000000 |
9 | Male | 47 | 47 | testing | 2.7133081 | 3 | 69.445576 |
9 | Male | 47 | 47 | training | 2.9042503 | 4 | 74.332634 |
9 | Male | 47 | 47 | validation | 0.9767750 | 1 | 25.000000 |
9 | Male | 48 | 48 | testing | 2.9561085 | 3 | 75.266926 |
9 | Male | 48 | 48 | training | 3.3211966 | 5 | 84.562612 |
9 | Male | 48 | 48 | validation | 0.7327568 | 1 | 18.657080 |
9 | Male | 49 | 49 | testing | 1.1578908 | 1 | 29.328540 |
9 | Male | 49 | 49 | training | 2.6445923 | 3 | 66.985620 |
9 | Male | 49 | 49 | validation | 0.6316800 | 0 | 16.000000 |
9 | Male | 50 | 50 | testing | 1.1613248 | 1 | 29.262832 |
9 | Male | 50 | 50 | training | 3.0176023 | 4 | 76.036948 |
9 | Male | 50 | 50 | validation | 0.5673386 | 1 | 14.295686 |
9 | Male | 51 | 51 | testing | 1.0372180 | 0 | 26.000000 |
9 | Male | 51 | 51 | training | 2.7428688 | 1 | 68.755642 |
9 | Male | 51 | 51 | validation | 0.6873555 | 1 | 17.229978 |
9 | Male | 52 | 52 | testing | 0.9500137 | 1 | 23.689934 |
9 | Male | 52 | 52 | training | 2.3496312 | 1 | 58.591372 |
9 | Male | 52 | 52 | validation | 0.7218360 | 0 | 18.000000 |
9 | Male | 53 | 53 | testing | 0.9324505 | 1 | 23.131416 |
9 | Male | 53 | 53 | training | 2.9758124 | 2 | 73.821350 |
9 | Male | 53 | 53 | validation | 0.5240430 | 0 | 13.000000 |
9 | Male | 54 | 54 | testing | 1.0130250 | 0 | 25.000000 |
9 | Male | 54 | 54 | training | 2.6213008 | 2 | 64.689934 |
9 | Male | 54 | 54 | validation | 0.6078150 | 0 | 15.000000 |
9 | Male | 55 | 55 | testing | 1.0330457 | 0 | 25.361394 |
9 | Male | 55 | 55 | training | 2.7185718 | 4 | 66.741262 |
9 | Male | 55 | 55 | validation | 0.6924610 | 0 | 17.000000 |
9 | Male | 56 | 56 | testing | 1.0183250 | 1 | 25.000000 |
9 | Male | 56 | 56 | training | 2.3045506 | 3 | 56.576992 |
9 | Male | 56 | 56 | validation | 0.6109950 | 0 | 15.000000 |
9 | Male | 57 | 57 | testing | 1.0997910 | 0 | 27.000000 |
9 | Male | 57 | 57 | training | 2.0521232 | 3 | 50.379868 |
9 | Male | 57 | 57 | validation | 0.5295290 | 0 | 13.000000 |
9 | Male | 58 | 58 | testing | 1.5826483 | 0 | 38.854204 |
9 | Male | 58 | 58 | training | 1.7107860 | 0 | 42.000000 |
9 | Male | 58 | 58 | validation | 0.4480630 | 0 | 11.000000 |
9 | Male | 59 | 59 | testing | 1.4510816 | 2 | 35.624226 |
9 | Male | 59 | 59 | training | 1.6019694 | 1 | 39.328540 |
9 | Male | 59 | 59 | validation | 0.4073300 | 0 | 10.000000 |
9 | Male | 60 | 60 | testing | 1.0997910 | 1 | 27.000000 |
9 | Male | 60 | 60 | training | 1.3441890 | 0 | 33.000000 |
9 | Male | 60 | 60 | validation | 0.5295290 | 0 | 13.000000 |
9 | Male | 61 | 61 | testing | 0.6109950 | 0 | 15.000000 |
9 | Male | 61 | 61 | training | 1.4690645 | 1 | 36.065708 |
9 | Male | 61 | 61 | validation | 0.5295290 | 0 | 13.000000 |
9 | Male | 62 | 62 | testing | 0.5903356 | 2 | 14.492810 |
9 | Male | 62 | 62 | training | 1.1024675 | 0 | 27.065708 |
9 | Male | 62 | 62 | validation | 0.3159106 | 1 | 7.755642 |
9 | Male | 63 | 63 | testing | 0.4887960 | 0 | 12.000000 |
9 | Male | 63 | 63 | training | 1.0798841 | 1 | 26.511284 |
9 | Male | 63 | 63 | validation | 0.2036650 | 0 | 5.000000 |
9 | Male | 64 | 64 | testing | 0.2443980 | 0 | 6.000000 |
9 | Male | 64 | 64 | training | 1.2173895 | 3 | 29.887058 |
9 | Male | 64 | 64 | validation | 0.4887960 | 0 | 12.000000 |
9 | Male | 65 | 65 | testing | 0.3258640 | 0 | 8.000000 |
9 | Male | 65 | 65 | training | 1.1485535 | 1 | 28.197124 |
9 | Male | 65 | 65 | validation | 0.3665970 | 0 | 9.000000 |
9 | Male | 66 | 66 | testing | 0.3665970 | 0 | 9.000000 |
9 | Male | 66 | 66 | training | 1.0697639 | 0 | 26.262832 |
9 | Male | 66 | 66 | validation | 0.2851310 | 0 | 7.000000 |
9 | Male | 67 | 67 | testing | 0.4073300 | 0 | 10.000000 |
9 | Male | 67 | 67 | training | 1.0804699 | 1 | 26.525664 |
9 | Male | 67 | 67 | validation | 0.2443980 | 0 | 6.000000 |
9 | Male | 68 | 68 | testing | 0.2851310 | 0 | 7.000000 |
9 | Male | 68 | 68 | training | 0.9121849 | 1 | 22.394248 |
9 | Male | 68 | 68 | validation | 0.3212635 | 2 | 7.887058 |
9 | Male | 69 | 69 | testing | 0.3258640 | 0 | 8.000000 |
9 | Male | 69 | 69 | training | 1.0997910 | 0 | 27.000000 |
9 | Male | 69 | 69 | validation | 0.2971752 | 1 | 7.295686 |
9 | Male | 70 | 70 | testing | 0.8146600 | 0 | 20.000000 |
9 | Male | 70 | 70 | training | 0.6457893 | 1 | 15.854204 |
9 | Male | 70 | 70 | validation | 0.2443980 | 0 | 6.000000 |
9 | Male | 71 | 71 | testing | 0.6377598 | 1 | 15.657080 |
9 | Male | 71 | 71 | training | 0.7331940 | 0 | 18.000000 |
9 | Male | 71 | 71 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 72 | 72 | testing | 0.4694749 | 2 | 11.525664 |
9 | Male | 72 | 72 | training | 0.6924610 | 0 | 17.000000 |
9 | Male | 72 | 72 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 73 | 73 | testing | 0.2443980 | 0 | 6.000000 |
9 | Male | 73 | 73 | training | 0.6924610 | 0 | 17.000000 |
9 | Male | 73 | 73 | validation | 0.2443980 | 0 | 6.000000 |
9 | Male | 74 | 74 | testing | 0.2443980 | 0 | 6.000000 |
9 | Male | 74 | 74 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 74 | 74 | validation | 0.2443980 | 0 | 6.000000 |
9 | Male | 75 | 75 | testing | 0.2443980 | 0 | 6.000000 |
9 | Male | 75 | 75 | training | 0.6050563 | 1 | 14.854204 |
9 | Male | 75 | 75 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 76 | 76 | testing | 0.3258640 | 0 | 8.000000 |
9 | Male | 76 | 76 | training | 0.4054060 | 2 | 9.952766 |
9 | Male | 76 | 76 | validation | 0.2443980 | 0 | 6.000000 |
9 | Male | 77 | 77 | testing | 0.4073300 | 0 | 10.000000 |
9 | Male | 77 | 77 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 77 | 77 | validation | 0.1503021 | 1 | 3.689934 |
9 | Male | 78 | 78 | testing | 0.3665970 | 0 | 9.000000 |
9 | Male | 78 | 78 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 78 | 78 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 79 | 79 | testing | 0.4073300 | 0 | 10.000000 |
9 | Male | 79 | 79 | training | 0.5295290 | 0 | 13.000000 |
9 | Male | 79 | 79 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 80 | 80 | testing | 0.4153595 | 1 | 10.197124 |
9 | Male | 80 | 80 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 80 | 80 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 81 | 81 | testing | 0.2851310 | 0 | 7.000000 |
9 | Male | 81 | 81 | training | 0.6517280 | 0 | 16.000000 |
9 | Male | 81 | 81 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 82 | 82 | testing | 0.4073300 | 0 | 10.000000 |
9 | Male | 82 | 82 | training | 0.5295290 | 0 | 13.000000 |
9 | Male | 82 | 82 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 83 | 83 | testing | 0.4887960 | 0 | 12.000000 |
9 | Male | 83 | 83 | training | 0.5295290 | 0 | 13.000000 |
9 | Male | 83 | 83 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 84 | 84 | testing | 0.4887960 | 0 | 12.000000 |
9 | Male | 84 | 84 | training | 0.3665970 | 0 | 9.000000 |
9 | Male | 84 | 84 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 85 | 85 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 85 | 85 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 85 | 85 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 86 | 86 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 86 | 86 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 87 | 87 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 87 | 87 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 87 | 87 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 88 | 88 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 88 | 88 | training | 0.2036650 | 0 | 5.000000 |
9 | Male | 88 | 88 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 89 | 89 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 89 | 89 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 89 | 89 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 90 | 90 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 90 | 90 | training | 0.4887960 | 0 | 12.000000 |
9 | Male | 90 | 90 | validation | 0.1629320 | 0 | 4.000000 |
9 | Male | 91 | 91 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 91 | 91 | training | 0.4480630 | 0 | 11.000000 |
9 | Male | 91 | 91 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 92 | 92 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 92 | 92 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 92 | 92 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 93 | 93 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 93 | 93 | training | 0.3258640 | 0 | 8.000000 |
9 | Male | 93 | 93 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 94 | 94 | testing | 0.1221990 | 0 | 3.000000 |
9 | Male | 94 | 94 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 94 | 94 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 95 | 95 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 95 | 95 | training | 0.3665970 | 0 | 9.000000 |
9 | Male | 95 | 95 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 96 | 96 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 96 | 96 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 96 | 96 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 97 | 97 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 97 | 97 | training | 0.2443980 | 0 | 6.000000 |
9 | Male | 97 | 97 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 98 | 98 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 98 | 98 | training | 0.4073300 | 0 | 10.000000 |
9 | Male | 98 | 98 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 99 | 99 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 99 | 99 | training | 0.3665970 | 0 | 9.000000 |
9 | Male | 99 | 99 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 100 | 100 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 100 | 100 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 100 | 100 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 101 | 101 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 101 | 101 | training | 0.3665970 | 1 | 9.000000 |
9 | Male | 101 | 101 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 102 | 102 | training | 0.2443980 | 0 | 6.000000 |
9 | Male | 102 | 102 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 103 | 103 | training | 0.2851310 | 0 | 7.000000 |
9 | Male | 103 | 103 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 104 | 104 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 104 | 104 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 104 | 104 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 105 | 105 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 105 | 105 | training | 0.2443980 | 0 | 6.000000 |
9 | Male | 105 | 105 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 106 | 106 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 106 | 106 | training | 0.2443980 | 0 | 6.000000 |
9 | Male | 107 | 107 | testing | 0.1221990 | 0 | 3.000000 |
9 | Male | 107 | 107 | training | 0.2591187 | 1 | 6.361394 |
9 | Male | 108 | 108 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 108 | 108 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 108 | 108 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 109 | 109 | training | 0.1422726 | 1 | 3.492810 |
9 | Male | 109 | 109 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 110 | 110 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 110 | 110 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 110 | 110 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 111 | 111 | testing | 0.0715126 | 1 | 1.755642 |
9 | Male | 111 | 111 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 111 | 111 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 112 | 112 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 112 | 112 | training | 0.0814660 | 0 | 2.000000 |
9 | Male | 112 | 112 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 113 | 113 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 113 | 113 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 114 | 114 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 114 | 114 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 115 | 115 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 115 | 115 | training | 0.2036650 | 0 | 5.000000 |
9 | Male | 115 | 115 | validation | 0.1221990 | 0 | 3.000000 |
9 | Male | 116 | 116 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 116 | 116 | validation | 0.0814660 | 0 | 2.000000 |
9 | Male | 117 | 117 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 117 | 117 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 117 | 117 | validation | 0.0741890 | 1 | 1.821350 |
9 | Male | 118 | 118 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 118 | 118 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 118 | 118 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 119 | 119 | testing | 0.1629320 | 0 | 4.000000 |
9 | Male | 119 | 119 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 120 | 120 | testing | 0.2036650 | 0 | 5.000000 |
9 | Male | 120 | 120 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 120 | 120 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 121 | 121 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 122 | 122 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 123 | 123 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 123 | 123 | training | 0.1221990 | 0 | 3.000000 |
9 | Male | 124 | 124 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 124 | 124 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 124 | 124 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 125 | 125 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 125 | 125 | training | 0.0541154 | 1 | 1.328540 |
9 | Male | 125 | 125 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 126 | 126 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 127 | 127 | testing | 0.1221990 | 0 | 3.000000 |
9 | Male | 127 | 127 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 127 | 127 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 128 | 128 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 128 | 128 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 128 | 128 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 129 | 129 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 130 | 130 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 130 | 130 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 130 | 130 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 131 | 131 | testing | 0.0814660 | 0 | 2.000000 |
9 | Male | 131 | 131 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 132 | 132 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 132 | 132 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 132 | 132 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
9 | Male | 137 | 137 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 139 | 139 | validation | 0.0407330 | 0 | 1.000000 |
9 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 141 | 141 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 142 | 142 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 144 | 144 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 145 | 145 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 146 | 146 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 147 | 147 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 148 | 148 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 152 | 152 | testing | 0.0407330 | 0 | 1.000000 |
9 | Male | 154 | 154 | testing | 0.0407330 | 0 | 1.000000 |
10 | Female | 1 | 1 | testing | 3.6356505 | 7 | 28.496802 |
10 | Female | 1 | 1 | training | 15.7612843 | 12 | 123.539432 |
10 | Female | 1 | 1 | validation | 5.7067966 | 6 | 44.730772 |
10 | Female | 2 | 2 | testing | 8.0844217 | 5 | 73.519472 |
10 | Female | 2 | 2 | training | 38.3547185 | 27 | 348.796582 |
10 | Female | 2 | 2 | validation | 12.4906173 | 14 | 113.589274 |
10 | Female | 3 | 3 | testing | 6.9416769 | 7 | 83.593368 |
10 | Female | 3 | 3 | training | 39.0732447 | 33 | 470.529554 |
10 | Female | 3 | 3 | validation | 13.4094961 | 13 | 161.480426 |
10 | Female | 4 | 4 | testing | 13.9279457 | 13 | 261.067398 |
10 | Female | 4 | 4 | training | 60.3889214 | 46 | 1131.938546 |
10 | Female | 4 | 4 | validation | 18.4545762 | 15 | 345.915206 |
10 | Female | 5 | 5 | testing | 10.5048714 | 10 | 266.993808 |
10 | Female | 5 | 5 | training | 47.7363879 | 33 | 1213.277110 |
10 | Female | 5 | 5 | validation | 15.2181108 | 15 | 386.786398 |
10 | Female | 6 | 6 | testing | 9.9547754 | 9 | 290.336728 |
10 | Female | 6 | 6 | training | 38.9277799 | 32 | 1135.351006 |
10 | Female | 6 | 6 | validation | 11.7747324 | 4 | 343.416816 |
10 | Female | 7 | 7 | testing | 8.3501269 | 7 | 278.383962 |
10 | Female | 7 | 7 | training | 35.1473615 | 37 | 1171.774014 |
10 | Female | 7 | 7 | validation | 9.9954788 | 17 | 333.238166 |
10 | Female | 8 | 8 | testing | 6.6959822 | 3 | 252.069802 |
10 | Female | 8 | 8 | training | 30.0855550 | 28 | 1132.568702 |
10 | Female | 8 | 8 | validation | 9.0221042 | 11 | 339.636508 |
10 | Female | 9 | 9 | testing | 6.3219425 | 4 | 257.806970 |
10 | Female | 9 | 9 | training | 27.3958050 | 27 | 1117.192928 |
10 | Female | 9 | 9 | validation | 8.3127058 | 5 | 338.989714 |
10 | Female | 10 | 10 | testing | 12.7627806 | 12 | 536.792590 |
10 | Female | 10 | 10 | training | 20.0869591 | 18 | 844.841820 |
10 | Female | 10 | 10 | validation | 6.6468807 | 4 | 279.562612 |
10 | Female | 11 | 11 | testing | 11.1984937 | 12 | 477.486618 |
10 | Female | 11 | 11 | training | 20.9196895 | 18 | 891.983522 |
10 | Female | 11 | 11 | validation | 6.1040402 | 3 | 260.266926 |
10 | Female | 12 | 12 | testing | 11.4834014 | 10 | 492.786398 |
10 | Female | 12 | 12 | training | 20.9040336 | 25 | 897.053324 |
10 | Female | 12 | 12 | validation | 6.1066775 | 6 | 262.055422 |
10 | Female | 13 | 13 | testing | 6.3146113 | 2 | 273.952766 |
10 | Female | 13 | 13 | training | 20.0803824 | 17 | 871.166266 |
10 | Female | 13 | 13 | validation | 6.3391758 | 3 | 275.018474 |
10 | Female | 14 | 14 | testing | 6.2261114 | 3 | 278.872678 |
10 | Female | 14 | 14 | training | 18.1587386 | 16 | 813.344916 |
10 | Female | 14 | 14 | validation | 5.7579989 | 4 | 257.905532 |
10 | Female | 15 | 15 | testing | 5.3857282 | 7 | 253.924006 |
10 | Female | 15 | 15 | training | 16.5582153 | 5 | 780.679648 |
10 | Female | 15 | 15 | validation | 5.1082127 | 6 | 240.839824 |
10 | Female | 16 | 16 | testing | 5.1060129 | 5 | 253.412722 |
10 | Female | 16 | 16 | training | 15.9892858 | 10 | 793.552326 |
10 | Female | 16 | 16 | validation | 4.6608315 | 7 | 231.318254 |
10 | Female | 17 | 17 | testing | 4.7643441 | 4 | 245.445576 |
10 | Female | 17 | 17 | training | 15.2433338 | 17 | 785.293588 |
10 | Female | 17 | 17 | validation | 5.0399244 | 4 | 259.642700 |
10 | Female | 18 | 18 | testing | 4.5821536 | 3 | 240.887058 |
10 | Female | 18 | 18 | training | 14.3471184 | 15 | 754.238166 |
10 | Female | 18 | 18 | validation | 4.5996522 | 5 | 241.806970 |
10 | Female | 19 | 19 | testing | 4.3959360 | 0 | 232.000000 |
10 | Female | 19 | 19 | training | 14.8576823 | 14 | 784.129318 |
10 | Female | 19 | 19 | validation | 4.1770803 | 8 | 220.449670 |
10 | Female | 20 | 20 | testing | 4.5502370 | 5 | 238.369582 |
10 | Female | 20 | 20 | training | 14.6197035 | 20 | 765.870580 |
10 | Female | 20 | 20 | validation | 4.2287816 | 3 | 221.529758 |
10 | Female | 21 | 21 | testing | 4.4179582 | 5 | 228.318254 |
10 | Female | 21 | 21 | training | 14.9786874 | 10 | 774.092370 |
10 | Female | 21 | 21 | validation | 4.3021365 | 4 | 222.332634 |
10 | Female | 22 | 22 | testing | 7.8510969 | 9 | 399.059516 |
10 | Female | 22 | 22 | training | 12.8005421 | 11 | 650.632414 |
10 | Female | 22 | 22 | validation | 3.1920760 | 3 | 162.248452 |
10 | Female | 23 | 23 | testing | 7.5438446 | 5 | 377.022568 |
10 | Female | 23 | 23 | training | 11.3505258 | 8 | 567.271020 |
10 | Female | 23 | 23 | validation | 3.5590544 | 4 | 177.872678 |
10 | Female | 24 | 24 | testing | 7.7064390 | 8 | 380.151886 |
10 | Female | 24 | 24 | training | 11.5618662 | 12 | 570.336728 |
10 | Female | 24 | 24 | validation | 3.6214448 | 1 | 178.642700 |
10 | Female | 25 | 25 | testing | 3.2031132 | 5 | 157.347014 |
10 | Female | 25 | 25 | training | 11.6016503 | 8 | 569.909626 |
10 | Female | 25 | 25 | validation | 3.3662619 | 1 | 165.361394 |
10 | Female | 26 | 26 | testing | 3.4359026 | 3 | 169.741262 |
10 | Female | 26 | 26 | training | 10.7282175 | 10 | 529.997902 |
10 | Female | 26 | 26 | validation | 3.3718515 | 4 | 166.576992 |
10 | Female | 27 | 27 | testing | 3.0011891 | 3 | 150.036948 |
10 | Female | 27 | 27 | training | 11.5649779 | 11 | 578.162172 |
10 | Female | 27 | 27 | validation | 3.3113794 | 2 | 165.544138 |
10 | Female | 28 | 28 | testing | 2.8303005 | 0 | 143.262832 |
10 | Female | 28 | 28 | training | 10.6079165 | 11 | 536.946574 |
10 | Female | 28 | 28 | validation | 3.3413603 | 3 | 169.131416 |
10 | Female | 29 | 29 | testing | 2.8438586 | 2 | 145.117036 |
10 | Female | 29 | 29 | training | 10.2231545 | 12 | 521.669362 |
10 | Female | 29 | 29 | validation | 3.1994617 | 1 | 163.262832 |
10 | Female | 30 | 30 | testing | 2.4914436 | 3 | 127.361394 |
10 | Female | 30 | 30 | training | 11.2848634 | 9 | 576.876772 |
10 | Female | 30 | 30 | validation | 2.9924234 | 4 | 152.971240 |
10 | Female | 31 | 31 | testing | 2.6633444 | 2 | 135.642700 |
10 | Female | 31 | 31 | training | 10.3294609 | 9 | 526.073896 |
10 | Female | 31 | 31 | validation | 3.1088613 | 4 | 158.332634 |
10 | Female | 32 | 32 | testing | 2.4217286 | 2 | 122.445576 |
10 | Female | 32 | 32 | training | 10.1138676 | 9 | 511.369582 |
10 | Female | 32 | 32 | validation | 3.0092205 | 3 | 152.149890 |
10 | Female | 33 | 33 | testing | 2.6814479 | 1 | 134.314160 |
10 | Female | 33 | 33 | training | 9.6349864 | 12 | 482.618034 |
10 | Female | 33 | 33 | validation | 2.8981412 | 4 | 145.168364 |
10 | Female | 34 | 34 | testing | 4.8592336 | 3 | 240.854204 |
10 | Female | 34 | 34 | training | 7.1661846 | 5 | 355.201218 |
10 | Female | 34 | 34 | validation | 2.3099750 | 4 | 114.496904 |
10 | Female | 35 | 35 | testing | 5.2048932 | 9 | 255.129318 |
10 | Female | 35 | 35 | training | 7.5668438 | 5 | 370.905532 |
10 | Female | 35 | 35 | validation | 2.2893104 | 2 | 112.215598 |
10 | Female | 36 | 36 | testing | 4.9900131 | 3 | 241.811064 |
10 | Female | 36 | 36 | training | 7.4496805 | 5 | 361.004094 |
10 | Female | 36 | 36 | validation | 2.3664447 | 4 | 114.675554 |
10 | Female | 37 | 37 | testing | 2.4171320 | 4 | 115.774116 |
10 | Female | 37 | 37 | training | 7.4238219 | 7 | 355.581086 |
10 | Female | 37 | 37 | validation | 2.2381470 | 5 | 107.201218 |
10 | Female | 38 | 38 | testing | 2.6410153 | 1 | 125.018474 |
10 | Female | 38 | 38 | training | 6.9057486 | 3 | 326.899340 |
10 | Female | 38 | 38 | validation | 2.2524368 | 0 | 106.624226 |
10 | Female | 39 | 39 | testing | 2.8015718 | 2 | 131.055422 |
10 | Female | 39 | 39 | training | 7.1794230 | 6 | 335.848012 |
10 | Female | 39 | 39 | validation | 2.1377000 | 0 | 100.000000 |
10 | Female | 40 | 40 | testing | 2.3554448 | 0 | 108.887058 |
10 | Female | 40 | 40 | training | 7.0244919 | 5 | 324.726882 |
10 | Female | 40 | 40 | validation | 2.2232097 | 2 | 102.774116 |
10 | Female | 41 | 41 | testing | 2.2376017 | 0 | 102.215598 |
10 | Female | 41 | 41 | training | 6.4677783 | 3 | 295.453764 |
10 | Female | 41 | 41 | validation | 2.1691414 | 3 | 99.088276 |
10 | Female | 42 | 42 | testing | 2.1078555 | 4 | 95.149890 |
10 | Female | 42 | 42 | training | 6.6268396 | 9 | 299.139604 |
10 | Female | 42 | 42 | validation | 1.9574700 | 0 | 88.361394 |
10 | Female | 43 | 43 | testing | 2.1272730 | 1 | 94.887058 |
10 | Female | 43 | 43 | training | 6.8008285 | 5 | 303.351108 |
10 | Female | 43 | 43 | validation | 1.9159268 | 1 | 85.459956 |
10 | Female | 44 | 44 | testing | 2.5671447 | 2 | 113.149890 |
10 | Female | 44 | 44 | training | 6.6294612 | 4 | 292.201218 |
10 | Female | 44 | 44 | validation | 2.0363760 | 1 | 89.755642 |
10 | Female | 45 | 45 | testing | 2.0619680 | 1 | 89.806970 |
10 | Female | 45 | 45 | training | 6.3434188 | 4 | 276.281306 |
10 | Female | 45 | 45 | validation | 1.8003561 | 2 | 78.412722 |
10 | Female | 46 | 46 | testing | 3.6962410 | 7 | 159.073896 |
10 | Female | 46 | 46 | training | 5.0058544 | 6 | 215.435290 |
10 | Female | 46 | 46 | validation | 1.4924478 | 1 | 64.229978 |
10 | Female | 47 | 47 | testing | 3.5821019 | 2 | 152.332634 |
10 | Female | 47 | 47 | training | 5.1156467 | 7 | 217.548232 |
10 | Female | 47 | 47 | validation | 1.8774335 | 4 | 79.839824 |
10 | Female | 48 | 48 | testing | 3.2893522 | 5 | 138.219692 |
10 | Female | 48 | 48 | training | 4.6906490 | 4 | 197.102656 |
10 | Female | 48 | 48 | validation | 1.5468700 | 0 | 65.000000 |
10 | Female | 49 | 49 | testing | 1.3451926 | 2 | 55.854204 |
10 | Female | 49 | 49 | training | 4.7202163 | 6 | 195.989714 |
10 | Female | 49 | 49 | validation | 1.6858800 | 1 | 70.000000 |
10 | Female | 50 | 50 | testing | 1.3162418 | 6 | 54.004094 |
10 | Female | 50 | 50 | training | 4.3117185 | 4 | 176.905532 |
10 | Female | 50 | 50 | validation | 1.5723335 | 0 | 64.511284 |
10 | Female | 51 | 51 | testing | 1.4444044 | 1 | 58.558518 |
10 | Female | 51 | 51 | training | 4.8929841 | 6 | 198.369582 |
10 | Female | 51 | 51 | validation | 1.3721281 | 1 | 55.628320 |
10 | Female | 52 | 52 | testing | 1.4228340 | 0 | 57.000000 |
10 | Female | 52 | 52 | training | 4.8567741 | 7 | 194.566706 |
10 | Female | 52 | 52 | validation | 1.5367259 | 4 | 61.562612 |
10 | Female | 53 | 53 | testing | 1.1202499 | 2 | 44.347014 |
10 | Female | 53 | 53 | training | 4.6079278 | 4 | 182.412722 |
10 | Female | 53 | 53 | validation | 1.6233434 | 1 | 64.262832 |
10 | Female | 54 | 54 | testing | 1.1587788 | 1 | 45.328540 |
10 | Female | 54 | 54 | training | 4.4063513 | 4 | 172.365488 |
10 | Female | 54 | 54 | validation | 1.3293280 | 0 | 52.000000 |
10 | Female | 55 | 55 | testing | 0.9830980 | 0 | 38.000000 |
10 | Female | 55 | 55 | training | 4.1522154 | 3 | 160.496904 |
10 | Female | 55 | 55 | validation | 1.5583157 | 2 | 60.234072 |
10 | Female | 56 | 56 | testing | 1.4229050 | 0 | 55.000000 |
10 | Female | 56 | 56 | training | 4.1835582 | 6 | 161.708408 |
10 | Female | 56 | 56 | validation | 1.4572757 | 0 | 56.328540 |
10 | Female | 57 | 57 | testing | 1.1311522 | 2 | 43.722788 |
10 | Female | 57 | 57 | training | 4.0741245 | 0 | 157.478430 |
10 | Female | 57 | 57 | validation | 1.3452920 | 0 | 52.000000 |
10 | Female | 58 | 58 | testing | 2.3213242 | 3 | 89.726882 |
10 | Female | 58 | 58 | training | 2.8764088 | 2 | 111.182744 |
10 | Female | 58 | 58 | validation | 1.1900660 | 0 | 46.000000 |
10 | Female | 59 | 59 | testing | 2.4005312 | 2 | 92.788496 |
10 | Female | 59 | 59 | training | 3.3171717 | 5 | 128.219692 |
10 | Female | 59 | 59 | validation | 1.1175528 | 2 | 43.197124 |
10 | Female | 60 | 60 | testing | 2.0417370 | 1 | 78.919912 |
10 | Female | 60 | 60 | training | 2.6804903 | 2 | 103.609846 |
10 | Female | 60 | 60 | validation | 1.2218868 | 1 | 47.229978 |
10 | Female | 61 | 61 | testing | 1.1273804 | 2 | 43.576992 |
10 | Female | 61 | 61 | training | 3.1792111 | 2 | 122.887058 |
10 | Female | 61 | 61 | validation | 1.0865820 | 1 | 42.000000 |
10 | Female | 62 | 62 | testing | 0.8775420 | 3 | 33.919912 |
10 | Female | 62 | 62 | training | 2.6155209 | 1 | 101.098562 |
10 | Female | 62 | 62 | validation | 0.8749921 | 2 | 33.821350 |
10 | Female | 63 | 63 | testing | 1.1383240 | 0 | 44.000000 |
10 | Female | 63 | 63 | training | 2.5579351 | 4 | 98.872678 |
10 | Female | 63 | 63 | validation | 1.0632609 | 0 | 41.098562 |
10 | Female | 64 | 64 | testing | 1.0089690 | 0 | 39.000000 |
10 | Female | 64 | 64 | training | 2.5795562 | 3 | 99.708408 |
10 | Female | 64 | 64 | validation | 0.9830980 | 0 | 38.000000 |
10 | Female | 65 | 65 | testing | 1.0009473 | 2 | 38.689934 |
10 | Female | 65 | 65 | training | 2.6995616 | 2 | 104.347014 |
10 | Female | 65 | 65 | validation | 0.9898977 | 0 | 38.262832 |
10 | Female | 66 | 66 | testing | 0.8278720 | 0 | 32.000000 |
10 | Female | 66 | 66 | training | 2.5455576 | 2 | 98.394248 |
10 | Female | 66 | 66 | validation | 0.9233343 | 0 | 35.689934 |
10 | Female | 67 | 67 | testing | 0.9424056 | 2 | 36.427102 |
10 | Female | 67 | 67 | training | 2.1528707 | 2 | 83.215598 |
10 | Female | 67 | 67 | validation | 1.0730885 | 2 | 41.478430 |
10 | Female | 68 | 68 | testing | 0.8278720 | 0 | 32.000000 |
10 | Female | 68 | 68 | training | 2.2101905 | 8 | 85.431196 |
10 | Female | 68 | 68 | validation | 0.9025631 | 1 | 34.887058 |
10 | Female | 69 | 69 | testing | 0.8304219 | 1 | 32.098562 |
10 | Female | 69 | 69 | training | 2.0438090 | 0 | 79.000000 |
10 | Female | 69 | 69 | validation | 0.7502590 | 0 | 29.000000 |
10 | Female | 70 | 70 | testing | 1.3093273 | 2 | 50.609846 |
10 | Female | 70 | 70 | training | 1.7333570 | 0 | 67.000000 |
10 | Female | 70 | 70 | validation | 0.8329718 | 1 | 32.197124 |
10 | Female | 71 | 71 | testing | 1.1871441 | 2 | 45.887058 |
10 | Female | 71 | 71 | training | 1.5137454 | 4 | 58.511284 |
10 | Female | 71 | 71 | validation | 0.7761300 | 0 | 30.000000 |
10 | Female | 72 | 72 | testing | 1.2897781 | 1 | 49.854204 |
10 | Female | 72 | 72 | training | 1.7333570 | 1 | 67.000000 |
10 | Female | 72 | 72 | validation | 0.6646243 | 1 | 25.689934 |
10 | Female | 73 | 73 | testing | 0.5432910 | 0 | 21.000000 |
10 | Female | 73 | 73 | training | 1.4950462 | 0 | 57.788496 |
10 | Female | 73 | 73 | validation | 0.7066446 | 2 | 27.314160 |
10 | Female | 74 | 74 | testing | 0.3363230 | 0 | 13.000000 |
10 | Female | 74 | 74 | training | 1.5743591 | 0 | 60.854204 |
10 | Female | 74 | 74 | validation | 0.6040106 | 0 | 23.347014 |
10 | Female | 75 | 75 | testing | 0.5085483 | 0 | 19.657080 |
10 | Female | 75 | 75 | training | 1.5132675 | 1 | 58.492810 |
10 | Female | 75 | 75 | validation | 0.6467750 | 0 | 25.000000 |
10 | Female | 76 | 76 | testing | 0.3880650 | 0 | 15.000000 |
10 | Female | 76 | 76 | training | 1.5752091 | 1 | 60.887058 |
10 | Female | 76 | 76 | validation | 0.5432910 | 0 | 21.000000 |
10 | Female | 77 | 77 | testing | 0.5250697 | 1 | 20.295686 |
10 | Female | 77 | 77 | training | 1.1833722 | 4 | 45.741262 |
10 | Female | 77 | 77 | validation | 0.5921111 | 2 | 22.887058 |
10 | Female | 78 | 78 | testing | 0.3621940 | 0 | 14.000000 |
10 | Female | 78 | 78 | training | 1.2974278 | 2 | 50.149890 |
10 | Female | 78 | 78 | validation | 0.6358314 | 2 | 24.576992 |
10 | Female | 79 | 79 | testing | 0.3104520 | 1 | 12.000000 |
10 | Female | 79 | 79 | training | 1.1124530 | 1 | 43.000000 |
10 | Female | 79 | 79 | validation | 0.3363230 | 0 | 13.000000 |
10 | Female | 80 | 80 | testing | 0.3363230 | 1 | 13.000000 |
10 | Female | 80 | 80 | training | 1.2159370 | 0 | 47.000000 |
10 | Female | 80 | 80 | validation | 0.5691620 | 0 | 22.000000 |
10 | Female | 81 | 81 | testing | 0.2964805 | 1 | 11.459956 |
10 | Female | 81 | 81 | training | 1.2792065 | 2 | 49.445576 |
10 | Female | 81 | 81 | validation | 0.4215857 | 1 | 16.295686 |
10 | Female | 82 | 82 | testing | 0.7243880 | 0 | 28.000000 |
10 | Female | 82 | 82 | training | 0.6819956 | 0 | 26.361394 |
10 | Female | 82 | 82 | validation | 0.5432910 | 0 | 21.000000 |
10 | Female | 83 | 83 | testing | 0.5691620 | 0 | 22.000000 |
10 | Female | 83 | 83 | training | 0.8613927 | 1 | 33.295686 |
10 | Female | 83 | 83 | validation | 0.4139360 | 0 | 16.000000 |
10 | Female | 84 | 84 | testing | 0.7761300 | 0 | 30.000000 |
10 | Female | 84 | 84 | training | 0.9054850 | 0 | 35.000000 |
10 | Female | 84 | 84 | validation | 0.3104520 | 0 | 12.000000 |
10 | Female | 85 | 85 | testing | 0.4368851 | 1 | 16.887058 |
10 | Female | 85 | 85 | training | 0.7243880 | 0 | 28.000000 |
10 | Female | 85 | 85 | validation | 0.4266855 | 1 | 16.492810 |
10 | Female | 86 | 86 | testing | 0.3880650 | 0 | 15.000000 |
10 | Female | 86 | 86 | training | 0.7061667 | 1 | 27.295686 |
10 | Female | 86 | 86 | validation | 0.3397229 | 1 | 13.131416 |
10 | Female | 87 | 87 | testing | 0.1810970 | 0 | 7.000000 |
10 | Female | 87 | 87 | training | 0.5950330 | 0 | 23.000000 |
10 | Female | 87 | 87 | validation | 0.3880650 | 0 | 15.000000 |
10 | Female | 88 | 88 | testing | 0.1810970 | 0 | 7.000000 |
10 | Female | 88 | 88 | training | 0.6302536 | 1 | 24.361394 |
10 | Female | 88 | 88 | validation | 0.3880650 | 0 | 15.000000 |
10 | Female | 89 | 89 | testing | 0.3363230 | 0 | 13.000000 |
10 | Female | 89 | 89 | training | 0.7243880 | 0 | 28.000000 |
10 | Female | 89 | 89 | validation | 0.2845810 | 0 | 11.000000 |
10 | Female | 90 | 90 | testing | 0.2845810 | 0 | 11.000000 |
10 | Female | 90 | 90 | training | 0.4915490 | 0 | 19.000000 |
10 | Female | 90 | 90 | validation | 0.3363230 | 0 | 13.000000 |
10 | Female | 91 | 91 | testing | 0.3880650 | 0 | 15.000000 |
10 | Female | 91 | 91 | training | 0.6209040 | 0 | 24.000000 |
10 | Female | 91 | 91 | validation | 0.2791092 | 1 | 10.788496 |
10 | Female | 92 | 92 | testing | 0.2069680 | 0 | 8.000000 |
10 | Female | 92 | 92 | training | 0.3880650 | 0 | 15.000000 |
10 | Female | 92 | 92 | validation | 0.2845810 | 0 | 11.000000 |
10 | Female | 93 | 93 | testing | 0.3880650 | 1 | 15.000000 |
10 | Female | 93 | 93 | training | 0.6955951 | 2 | 26.887058 |
10 | Female | 93 | 93 | validation | 0.3147018 | 1 | 12.164270 |
10 | Female | 94 | 94 | testing | 0.7129664 | 1 | 27.558518 |
10 | Female | 94 | 94 | training | 0.2845810 | 0 | 11.000000 |
10 | Female | 94 | 94 | validation | 0.1552260 | 0 | 6.000000 |
10 | Female | 95 | 95 | testing | 0.5174200 | 0 | 20.000000 |
10 | Female | 95 | 95 | training | 0.2845810 | 0 | 11.000000 |
10 | Female | 95 | 95 | validation | 0.2069680 | 0 | 8.000000 |
10 | Female | 96 | 96 | testing | 0.5432910 | 0 | 21.000000 |
10 | Female | 96 | 96 | training | 0.3371730 | 1 | 13.032854 |
10 | Female | 96 | 96 | validation | 0.1552260 | 0 | 6.000000 |
10 | Female | 97 | 97 | testing | 0.3880650 | 0 | 15.000000 |
10 | Female | 97 | 97 | training | 0.2939306 | 1 | 11.361394 |
10 | Female | 97 | 97 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 98 | 98 | testing | 0.4656780 | 0 | 18.000000 |
10 | Female | 98 | 98 | training | 0.3249014 | 1 | 12.558518 |
10 | Female | 98 | 98 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 99 | 99 | testing | 0.4398070 | 0 | 17.000000 |
10 | Female | 99 | 99 | training | 0.3363230 | 0 | 13.000000 |
10 | Female | 99 | 99 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 100 | 100 | testing | 0.3558722 | 1 | 13.755642 |
10 | Female | 100 | 100 | training | 0.4326352 | 2 | 16.722788 |
10 | Female | 100 | 100 | validation | 0.1463543 | 1 | 5.657080 |
10 | Female | 101 | 101 | testing | 0.3104520 | 0 | 12.000000 |
10 | Female | 101 | 101 | training | 0.3104520 | 0 | 12.000000 |
10 | Female | 101 | 101 | validation | 0.1552260 | 0 | 6.000000 |
10 | Female | 102 | 102 | testing | 0.2689096 | 1 | 10.394248 |
10 | Female | 102 | 102 | training | 0.3363230 | 0 | 13.000000 |
10 | Female | 102 | 102 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 103 | 103 | testing | 0.2587100 | 0 | 10.000000 |
10 | Female | 103 | 103 | training | 0.2328390 | 0 | 9.000000 |
10 | Female | 103 | 103 | validation | 0.1552260 | 0 | 6.000000 |
10 | Female | 104 | 104 | testing | 0.3363230 | 0 | 13.000000 |
10 | Female | 104 | 104 | training | 0.3363230 | 0 | 13.000000 |
10 | Female | 104 | 104 | validation | 0.1810970 | 0 | 7.000000 |
10 | Female | 105 | 105 | testing | 0.3363230 | 0 | 13.000000 |
10 | Female | 105 | 105 | training | 0.1810970 | 0 | 7.000000 |
10 | Female | 105 | 105 | validation | 0.1810970 | 0 | 7.000000 |
10 | Female | 106 | 106 | testing | 0.4656780 | 0 | 18.000000 |
10 | Female | 106 | 106 | training | 0.1438044 | 1 | 5.558518 |
10 | Female | 106 | 106 | validation | 0.1034840 | 0 | 4.000000 |
10 | Female | 107 | 107 | testing | 0.4139360 | 0 | 16.000000 |
10 | Female | 107 | 107 | training | 0.1810970 | 0 | 7.000000 |
10 | Female | 107 | 107 | validation | 0.0517420 | 0 | 2.000000 |
10 | Female | 108 | 108 | testing | 0.2973305 | 0 | 11.492810 |
10 | Female | 108 | 108 | training | 0.1293550 | 0 | 5.000000 |
10 | Female | 108 | 108 | validation | 0.1034840 | 0 | 4.000000 |
10 | Female | 109 | 109 | testing | 0.1293550 | 0 | 5.000000 |
10 | Female | 109 | 109 | training | 0.1552260 | 0 | 6.000000 |
10 | Female | 109 | 109 | validation | 0.0776130 | 0 | 3.000000 |
10 | Female | 110 | 110 | testing | 0.1034840 | 0 | 4.000000 |
10 | Female | 110 | 110 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 110 | 110 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 111 | 111 | testing | 0.1293550 | 0 | 5.000000 |
10 | Female | 111 | 111 | training | 0.1810970 | 0 | 7.000000 |
10 | Female | 111 | 111 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 112 | 112 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 112 | 112 | training | 0.1552260 | 0 | 6.000000 |
10 | Female | 112 | 112 | validation | 0.1034840 | 0 | 4.000000 |
10 | Female | 113 | 113 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 113 | 113 | training | 0.1438044 | 0 | 5.558518 |
10 | Female | 113 | 113 | validation | 0.0517420 | 0 | 2.000000 |
10 | Female | 114 | 114 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 114 | 114 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 114 | 114 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 115 | 115 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 115 | 115 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 115 | 115 | validation | 0.0776130 | 0 | 3.000000 |
10 | Female | 116 | 116 | testing | 0.2069680 | 0 | 8.000000 |
10 | Female | 116 | 116 | training | 0.1293550 | 0 | 5.000000 |
10 | Female | 116 | 116 | validation | 0.1034840 | 0 | 4.000000 |
10 | Female | 117 | 117 | testing | 0.1552260 | 0 | 6.000000 |
10 | Female | 117 | 117 | training | 0.1293550 | 0 | 5.000000 |
10 | Female | 117 | 117 | validation | 0.1293550 | 0 | 5.000000 |
10 | Female | 118 | 118 | testing | 0.2845810 | 0 | 11.000000 |
10 | Female | 118 | 118 | training | 0.1552260 | 0 | 6.000000 |
10 | Female | 118 | 118 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 119 | 119 | testing | 0.1552260 | 0 | 6.000000 |
10 | Female | 119 | 119 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 119 | 119 | validation | 0.0776130 | 0 | 3.000000 |
10 | Female | 120 | 120 | testing | 0.1810970 | 0 | 7.000000 |
10 | Female | 120 | 120 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 120 | 120 | validation | 0.0517420 | 0 | 2.000000 |
10 | Female | 121 | 121 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 121 | 121 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 121 | 121 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 122 | 122 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 122 | 122 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 122 | 122 | validation | 0.0721412 | 0 | 2.788496 |
10 | Female | 123 | 123 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 123 | 123 | training | 0.1238832 | 0 | 4.788496 |
10 | Female | 123 | 123 | validation | 0.0152994 | 1 | 0.591372 |
10 | Female | 124 | 124 | testing | 0.1034840 | 0 | 4.000000 |
10 | Female | 124 | 124 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 124 | 124 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 125 | 125 | testing | 0.1293550 | 0 | 5.000000 |
10 | Female | 125 | 125 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 125 | 125 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 126 | 126 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 126 | 126 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 126 | 126 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 127 | 127 | testing | 0.0517420 | 0 | 2.000000 |
10 | Female | 127 | 127 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 128 | 128 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 128 | 128 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 129 | 129 | testing | 0.1293550 | 0 | 5.000000 |
10 | Female | 129 | 129 | training | 0.1034840 | 0 | 4.000000 |
10 | Female | 129 | 129 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 130 | 130 | testing | 0.0517420 | 0 | 2.000000 |
10 | Female | 130 | 130 | training | 0.0585417 | 1 | 2.262832 |
10 | Female | 130 | 130 | validation | 0.0258710 | 0 | 1.000000 |
10 | Female | 131 | 131 | testing | 0.1552260 | 0 | 6.000000 |
10 | Female | 131 | 131 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 131 | 131 | validation | 0.0118995 | 1 | 0.459956 |
10 | Female | 132 | 132 | testing | 0.0776130 | 0 | 3.000000 |
10 | Female | 132 | 132 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 133 | 133 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 134 | 134 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 134 | 134 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 135 | 135 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 136 | 136 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 136 | 136 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 137 | 137 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 137 | 137 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 138 | 138 | testing | 0.0517420 | 0 | 2.000000 |
10 | Female | 139 | 139 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 139 | 139 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 140 | 140 | testing | 0.0517420 | 0 | 2.000000 |
10 | Female | 140 | 140 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 141 | 141 | testing | 0.0352206 | 0 | 1.361394 |
10 | Female | 141 | 141 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 142 | 142 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 142 | 142 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 143 | 143 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 143 | 143 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 144 | 144 | testing | 0.0517420 | 0 | 2.000000 |
10 | Female | 144 | 144 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 145 | 145 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 145 | 145 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 146 | 146 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 147 | 147 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 148 | 148 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 149 | 149 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 149 | 149 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 150 | 150 | testing | 0.0033999 | 1 | 0.131416 |
10 | Female | 150 | 150 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 151 | 151 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 152 | 152 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 154 | 154 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 155 | 155 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 156 | 156 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 157 | 157 | training | 0.0776130 | 0 | 3.000000 |
10 | Female | 159 | 159 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 160 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 162 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 163 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 165 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 166 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 167 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 168 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 169 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 170 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 171 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 172 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 173 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 174 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 175 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 176 | training | 0.0517420 | 0 | 2.000000 |
10 | Female | 160 | 177 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 178 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 178 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 179 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 180 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 180 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 181 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 181 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 182 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 182 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 183 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 183 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 184 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 184 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 185 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 186 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 187 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 191 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 192 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 196 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 198 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 199 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 200 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 201 | training | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 206 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 207 | testing | 0.0258710 | 0 | 1.000000 |
10 | Female | 160 | 208 | testing | 0.0258710 | 0 | 1.000000 |
10 | Male | 1 | 1 | testing | 4.1232199 | 2 | 19.188834 |
10 | Male | 1 | 1 | training | 16.8564347 | 7 | 78.447266 |
10 | Male | 1 | 1 | validation | 4.7444591 | 0 | 22.079986 |
10 | Male | 2 | 2 | testing | 3.6346797 | 2 | 30.234072 |
10 | Male | 2 | 2 | training | 19.8537373 | 12 | 165.147792 |
10 | Male | 2 | 2 | validation | 5.7398512 | 6 | 47.745356 |
10 | Male | 3 | 3 | testing | 5.6024312 | 6 | 57.552326 |
10 | Male | 3 | 3 | training | 22.7369396 | 26 | 233.570698 |
10 | Male | 3 | 3 | validation | 7.1503567 | 8 | 73.453764 |
10 | Male | 4 | 4 | testing | 11.2987166 | 6 | 149.359092 |
10 | Male | 4 | 4 | training | 44.1283383 | 32 | 583.337806 |
10 | Male | 4 | 4 | validation | 14.4035403 | 10 | 190.402130 |
10 | Male | 5 | 5 | testing | 10.0445772 | 5 | 162.412722 |
10 | Male | 5 | 5 | training | 38.2036772 | 31 | 617.722686 |
10 | Male | 5 | 5 | validation | 12.0552701 | 8 | 194.924006 |
10 | Male | 6 | 6 | testing | 8.0320376 | 6 | 148.562612 |
10 | Male | 6 | 6 | training | 31.4565005 | 25 | 581.827440 |
10 | Male | 6 | 6 | validation | 10.4618528 | 9 | 193.505092 |
10 | Male | 7 | 7 | testing | 8.3802988 | 6 | 169.858298 |
10 | Male | 7 | 7 | training | 28.4091944 | 23 | 575.819252 |
10 | Male | 7 | 7 | validation | 9.5145424 | 11 | 192.848012 |
10 | Male | 8 | 8 | testing | 6.9871654 | 5 | 151.234072 |
10 | Male | 8 | 8 | training | 27.1400009 | 31 | 587.433192 |
10 | Male | 8 | 8 | validation | 8.3050796 | 3 | 179.759736 |
10 | Male | 9 | 9 | testing | 6.4495946 | 5 | 146.149890 |
10 | Male | 9 | 9 | training | 25.1691405 | 14 | 570.340822 |
10 | Male | 9 | 9 | validation | 7.9675935 | 7 | 180.548232 |
10 | Male | 10 | 10 | testing | 10.6377861 | 7 | 249.186838 |
10 | Male | 10 | 10 | training | 17.7649101 | 22 | 416.137506 |
10 | Male | 10 | 10 | validation | 6.5247321 | 2 | 152.839824 |
10 | Male | 11 | 11 | testing | 10.6278420 | 6 | 255.858298 |
10 | Male | 11 | 11 | training | 17.6241370 | 9 | 424.289494 |
10 | Male | 11 | 11 | validation | 5.6690410 | 2 | 136.478430 |
10 | Male | 12 | 12 | testing | 9.4685060 | 8 | 233.848012 |
10 | Male | 12 | 12 | training | 16.2310840 | 17 | 400.866486 |
10 | Male | 12 | 12 | validation | 5.0135265 | 4 | 123.821350 |
10 | Male | 13 | 13 | testing | 4.2240970 | 6 | 107.088276 |
10 | Male | 13 | 13 | training | 15.1847848 | 11 | 384.960954 |
10 | Male | 13 | 13 | validation | 4.9863498 | 6 | 126.412722 |
10 | Male | 14 | 14 | testing | 4.1223400 | 2 | 107.347014 |
10 | Male | 14 | 14 | training | 13.7923885 | 8 | 359.158078 |
10 | Male | 14 | 14 | validation | 5.1409786 | 2 | 133.872678 |
10 | Male | 15 | 15 | testing | 4.1631335 | 4 | 111.215598 |
10 | Male | 15 | 15 | training | 14.1698109 | 12 | 378.537946 |
10 | Male | 15 | 15 | validation | 4.4209367 | 4 | 118.102656 |
10 | Male | 16 | 16 | testing | 3.7471289 | 3 | 102.347014 |
10 | Male | 16 | 16 | training | 13.2471532 | 7 | 361.825444 |
10 | Male | 16 | 16 | validation | 4.4998173 | 4 | 122.905532 |
10 | Male | 17 | 17 | testing | 3.7930782 | 1 | 105.459956 |
10 | Male | 17 | 17 | training | 13.0193141 | 8 | 361.979428 |
10 | Male | 17 | 17 | validation | 4.2435888 | 2 | 117.985620 |
10 | Male | 18 | 18 | testing | 3.3154476 | 1 | 93.427102 |
10 | Male | 18 | 18 | training | 12.0526808 | 13 | 339.636508 |
10 | Male | 18 | 18 | validation | 4.4325226 | 4 | 124.905532 |
10 | Male | 19 | 19 | testing | 3.4949153 | 2 | 99.445576 |
10 | Male | 19 | 19 | training | 11.2011937 | 3 | 318.722788 |
10 | Male | 19 | 19 | validation | 4.0243846 | 5 | 114.511284 |
10 | Male | 20 | 20 | testing | 3.1789192 | 4 | 91.036948 |
10 | Male | 20 | 20 | training | 10.9692979 | 4 | 314.135510 |
10 | Male | 20 | 20 | validation | 4.2804089 | 6 | 122.581086 |
10 | Male | 21 | 21 | testing | 2.8502395 | 3 | 81.919912 |
10 | Male | 21 | 21 | training | 11.9142086 | 8 | 342.431196 |
10 | Male | 21 | 21 | validation | 3.8660950 | 3 | 111.117036 |
10 | Male | 22 | 22 | testing | 6.1920285 | 2 | 178.182744 |
10 | Male | 22 | 22 | training | 9.7878652 | 2 | 281.657080 |
10 | Male | 22 | 22 | validation | 2.9766692 | 2 | 85.657080 |
10 | Male | 23 | 23 | testing | 5.5173077 | 6 | 158.675554 |
10 | Male | 23 | 23 | training | 9.3675345 | 12 | 269.406530 |
10 | Male | 23 | 23 | validation | 3.0952614 | 2 | 89.018474 |
10 | Male | 24 | 24 | testing | 5.0312607 | 5 | 144.431196 |
10 | Male | 24 | 24 | training | 7.8854418 | 7 | 226.365488 |
10 | Male | 24 | 24 | validation | 3.1495272 | 5 | 90.412722 |
10 | Male | 25 | 25 | testing | 2.8166073 | 2 | 80.624226 |
10 | Male | 25 | 25 | training | 7.7963868 | 4 | 223.168364 |
10 | Male | 25 | 25 | validation | 3.2049810 | 2 | 91.741262 |
10 | Male | 26 | 26 | testing | 2.4544800 | 0 | 70.000000 |
10 | Male | 26 | 26 | training | 7.5510713 | 7 | 215.351108 |
10 | Male | 26 | 26 | validation | 2.9891517 | 3 | 85.248452 |
10 | Male | 27 | 27 | testing | 2.3088399 | 1 | 65.558518 |
10 | Male | 27 | 27 | training | 7.3977319 | 8 | 210.055422 |
10 | Male | 27 | 27 | validation | 2.9475363 | 3 | 83.694028 |
10 | Male | 28 | 28 | testing | 2.5495317 | 3 | 72.036948 |
10 | Male | 28 | 28 | training | 7.6285381 | 4 | 215.544138 |
10 | Male | 28 | 28 | validation | 2.4432108 | 1 | 69.032854 |
10 | Male | 29 | 29 | testing | 2.0797714 | 1 | 58.459956 |
10 | Male | 29 | 29 | training | 7.6304303 | 7 | 214.482524 |
10 | Male | 29 | 29 | validation | 2.6227619 | 1 | 73.722788 |
10 | Male | 30 | 30 | testing | 2.4230773 | 2 | 67.755642 |
10 | Male | 30 | 30 | training | 7.2154781 | 12 | 201.763830 |
10 | Male | 30 | 30 | validation | 2.5866132 | 3 | 72.328540 |
10 | Male | 31 | 31 | testing | 2.3366200 | 0 | 65.000000 |
10 | Male | 31 | 31 | training | 6.9787833 | 4 | 194.135510 |
10 | Male | 31 | 31 | validation | 1.9383130 | 1 | 53.919912 |
10 | Male | 32 | 32 | testing | 2.1676404 | 2 | 59.985620 |
10 | Male | 32 | 32 | training | 6.9589622 | 2 | 192.576992 |
10 | Male | 32 | 32 | validation | 2.4211120 | 2 | 67.000000 |
10 | Male | 33 | 33 | testing | 2.3362119 | 2 | 64.314160 |
10 | Male | 33 | 33 | training | 7.2204698 | 4 | 198.774116 |
10 | Male | 33 | 33 | validation | 2.6065237 | 2 | 71.755642 |
10 | Male | 34 | 34 | testing | 4.0460057 | 4 | 110.806970 |
10 | Male | 34 | 34 | training | 5.9370108 | 6 | 162.595466 |
10 | Male | 34 | 34 | validation | 1.4977486 | 3 | 41.018474 |
10 | Male | 35 | 35 | testing | 4.2086384 | 2 | 114.661174 |
10 | Male | 35 | 35 | training | 4.9413822 | 2 | 134.624226 |
10 | Male | 35 | 35 | validation | 1.6782549 | 1 | 45.722788 |
10 | Male | 36 | 36 | testing | 3.6142163 | 5 | 97.956860 |
10 | Male | 36 | 36 | training | 5.2279429 | 6 | 141.694028 |
10 | Male | 36 | 36 | validation | 1.5284944 | 0 | 41.427102 |
10 | Male | 37 | 37 | testing | 1.8915390 | 0 | 51.000000 |
10 | Male | 37 | 37 | training | 4.7402327 | 3 | 127.806970 |
10 | Male | 37 | 37 | validation | 1.6319160 | 1 | 44.000000 |
10 | Male | 38 | 38 | testing | 1.7505400 | 1 | 46.952766 |
10 | Male | 38 | 38 | training | 4.4454039 | 4 | 119.234072 |
10 | Male | 38 | 38 | validation | 1.6033216 | 2 | 43.004094 |
10 | Male | 39 | 39 | testing | 1.7024715 | 2 | 45.427102 |
10 | Male | 39 | 39 | training | 4.3335560 | 4 | 115.632414 |
10 | Male | 39 | 39 | validation | 1.4241260 | 0 | 38.000000 |
10 | Male | 40 | 40 | testing | 1.6533571 | 1 | 43.887058 |
10 | Male | 40 | 40 | training | 4.6604669 | 5 | 123.708408 |
10 | Male | 40 | 40 | validation | 1.2808820 | 0 | 34.000000 |
10 | Male | 41 | 41 | testing | 1.6632031 | 2 | 43.919912 |
10 | Male | 41 | 41 | training | 4.7088971 | 3 | 124.347014 |
10 | Male | 41 | 41 | validation | 1.4907317 | 3 | 39.365488 |
10 | Male | 42 | 42 | testing | 1.5945146 | 2 | 41.887058 |
10 | Male | 42 | 42 | training | 3.6513833 | 5 | 95.919912 |
10 | Male | 42 | 42 | validation | 1.6020186 | 1 | 42.084182 |
10 | Male | 43 | 43 | testing | 1.4654227 | 2 | 38.295686 |
10 | Male | 43 | 43 | training | 3.7143164 | 0 | 97.065708 |
10 | Male | 43 | 43 | validation | 1.4233851 | 1 | 37.197124 |
10 | Male | 44 | 44 | testing | 1.7309700 | 0 | 45.000000 |
10 | Male | 44 | 44 | training | 4.1544855 | 2 | 108.004094 |
10 | Male | 44 | 44 | validation | 1.3779040 | 1 | 35.821350 |
10 | Male | 45 | 45 | testing | 1.6132533 | 3 | 41.722788 |
10 | Male | 45 | 45 | training | 3.1845857 | 1 | 82.361394 |
10 | Male | 45 | 45 | validation | 1.2049977 | 1 | 31.164270 |
10 | Male | 46 | 46 | testing | 2.3404599 | 1 | 60.215598 |
10 | Male | 46 | 46 | training | 2.6723943 | 1 | 68.755642 |
10 | Male | 46 | 46 | validation | 0.9443247 | 1 | 24.295686 |
10 | Male | 47 | 47 | testing | 2.2272070 | 4 | 57.004094 |
10 | Male | 47 | 47 | training | 2.3572563 | 5 | 60.332634 |
10 | Male | 47 | 47 | validation | 0.8782547 | 3 | 22.478430 |
10 | Male | 48 | 48 | testing | 2.0835909 | 1 | 53.051328 |
10 | Male | 48 | 48 | training | 2.9096562 | 2 | 74.084182 |
10 | Male | 48 | 48 | validation | 0.9097767 | 1 | 23.164270 |
10 | Male | 49 | 49 | testing | 0.9475200 | 0 | 24.000000 |
10 | Male | 49 | 49 | training | 2.8484777 | 2 | 72.149890 |
10 | Male | 49 | 49 | validation | 0.8290800 | 0 | 21.000000 |
10 | Male | 50 | 50 | testing | 0.7937200 | 0 | 20.000000 |
10 | Male | 50 | 50 | training | 2.5197757 | 2 | 63.492810 |
10 | Male | 50 | 50 | validation | 1.0273538 | 0 | 25.887058 |
10 | Male | 51 | 51 | testing | 0.8004813 | 1 | 20.065708 |
10 | Male | 51 | 51 | training | 2.2896287 | 1 | 57.394248 |
10 | Male | 51 | 51 | validation | 0.7180740 | 0 | 18.000000 |
10 | Male | 52 | 52 | testing | 0.9223460 | 0 | 23.000000 |
10 | Male | 52 | 52 | training | 2.1925991 | 1 | 54.675554 |
10 | Male | 52 | 52 | validation | 0.9887982 | 1 | 24.657080 |
10 | Male | 53 | 53 | testing | 0.8868420 | 0 | 22.000000 |
10 | Male | 53 | 53 | training | 2.6684723 | 0 | 66.197124 |
10 | Male | 53 | 53 | validation | 0.8062200 | 0 | 20.000000 |
10 | Male | 54 | 54 | testing | 0.7911994 | 1 | 19.525664 |
10 | Male | 54 | 54 | training | 2.3197645 | 2 | 57.248452 |
10 | Male | 54 | 54 | validation | 0.9725040 | 1 | 24.000000 |
10 | Male | 55 | 55 | testing | 0.8467778 | 1 | 20.788496 |
10 | Male | 55 | 55 | training | 2.2938447 | 4 | 56.314160 |
10 | Male | 55 | 55 | validation | 0.8146600 | 0 | 20.000000 |
10 | Male | 56 | 56 | testing | 0.6184387 | 1 | 15.182744 |
10 | Male | 56 | 56 | training | 2.2236704 | 0 | 54.591372 |
10 | Male | 56 | 56 | validation | 0.5295290 | 0 | 13.000000 |
10 | Male | 57 | 57 | testing | 0.6109950 | 0 | 15.000000 |
10 | Male | 57 | 57 | training | 2.0473559 | 0 | 50.262832 |
10 | Male | 57 | 57 | validation | 0.8427631 | 1 | 20.689934 |
10 | Male | 58 | 58 | testing | 1.2667377 | 1 | 31.098562 |
10 | Male | 58 | 58 | training | 1.7536097 | 2 | 43.051328 |
10 | Male | 58 | 58 | validation | 0.6924610 | 0 | 17.000000 |
10 | Male | 59 | 59 | testing | 1.0997910 | 0 | 27.000000 |
10 | Male | 59 | 59 | training | 1.6247195 | 2 | 39.887058 |
10 | Male | 59 | 59 | validation | 0.4480630 | 0 | 11.000000 |
10 | Male | 60 | 60 | testing | 0.9368590 | 0 | 23.000000 |
10 | Male | 60 | 60 | training | 1.2627230 | 0 | 31.000000 |
10 | Male | 60 | 60 | validation | 0.5956886 | 1 | 14.624226 |
10 | Male | 61 | 61 | testing | 0.4073300 | 0 | 10.000000 |
10 | Male | 61 | 61 | training | 1.3114855 | 1 | 32.197124 |
10 | Male | 61 | 61 | validation | 0.6517280 | 0 | 16.000000 |
10 | Male | 62 | 62 | testing | 0.4748278 | 1 | 11.657080 |
10 | Male | 62 | 62 | training | 1.4183780 | 1 | 34.821350 |
10 | Male | 62 | 62 | validation | 0.4073300 | 0 | 10.000000 |
10 | Male | 63 | 63 | testing | 0.3665970 | 0 | 9.000000 |
10 | Male | 63 | 63 | training | 1.3262061 | 1 | 32.558518 |
10 | Male | 63 | 63 | validation | 0.2443980 | 0 | 6.000000 |
10 | Male | 64 | 64 | testing | 0.5702620 | 0 | 14.000000 |
10 | Male | 64 | 64 | training | 0.8802339 | 4 | 21.609846 |
10 | Male | 64 | 64 | validation | 0.5702620 | 0 | 14.000000 |
10 | Male | 65 | 65 | testing | 0.4627837 | 1 | 11.361394 |
10 | Male | 65 | 65 | training | 1.2273430 | 1 | 30.131416 |
10 | Male | 65 | 65 | validation | 0.5295290 | 0 | 13.000000 |
10 | Male | 66 | 66 | testing | 0.3665970 | 0 | 9.000000 |
10 | Male | 66 | 66 | training | 0.9596091 | 1 | 23.558518 |
10 | Male | 66 | 66 | validation | 0.5702620 | 0 | 14.000000 |
10 | Male | 67 | 67 | testing | 0.4775043 | 1 | 11.722788 |
10 | Male | 67 | 67 | training | 0.7372087 | 0 | 18.098562 |
10 | Male | 67 | 67 | validation | 0.5702620 | 0 | 14.000000 |
10 | Male | 68 | 68 | testing | 0.4922250 | 2 | 12.084182 |
10 | Male | 68 | 68 | training | 1.1405240 | 0 | 28.000000 |
10 | Male | 68 | 68 | validation | 0.4560925 | 1 | 11.197124 |
10 | Male | 69 | 69 | testing | 0.3665970 | 0 | 9.000000 |
10 | Male | 69 | 69 | training | 1.2627230 | 0 | 31.000000 |
10 | Male | 69 | 69 | validation | 0.3665970 | 0 | 9.000000 |
10 | Male | 70 | 70 | testing | 0.9775920 | 0 | 24.000000 |
10 | Male | 70 | 70 | training | 0.8842486 | 2 | 21.708408 |
10 | Male | 70 | 70 | validation | 0.3258640 | 0 | 8.000000 |
10 | Male | 71 | 71 | testing | 0.7331940 | 0 | 18.000000 |
10 | Male | 71 | 71 | training | 0.5702620 | 0 | 14.000000 |
10 | Male | 71 | 71 | validation | 0.2851310 | 0 | 7.000000 |
10 | Male | 72 | 72 | testing | 0.7159636 | 3 | 17.576992 |
10 | Male | 72 | 72 | training | 0.6109950 | 1 | 15.000000 |
10 | Male | 72 | 72 | validation | 0.2851310 | 0 | 7.000000 |
10 | Male | 73 | 73 | testing | 0.3665970 | 0 | 9.000000 |
10 | Male | 73 | 73 | training | 0.6517280 | 1 | 16.000000 |
10 | Male | 73 | 73 | validation | 0.2443980 | 0 | 6.000000 |
10 | Male | 74 | 74 | testing | 0.3665970 | 0 | 9.000000 |
10 | Male | 74 | 74 | training | 0.6524805 | 1 | 16.018474 |
10 | Male | 74 | 74 | validation | 0.2671481 | 0 | 6.558518 |
10 | Male | 75 | 75 | testing | 0.4480630 | 0 | 11.000000 |
10 | Male | 75 | 75 | training | 0.5643233 | 1 | 13.854204 |
10 | Male | 75 | 75 | validation | 0.1656085 | 1 | 4.065708 |
10 | Male | 76 | 76 | testing | 0.2036650 | 0 | 5.000000 |
10 | Male | 76 | 76 | training | 0.5702620 | 1 | 14.000000 |
10 | Male | 76 | 76 | validation | 0.1629320 | 0 | 4.000000 |
10 | Male | 77 | 77 | testing | 0.2851310 | 0 | 7.000000 |
10 | Male | 77 | 77 | training | 0.2851310 | 0 | 7.000000 |
10 | Male | 77 | 77 | validation | 0.2443980 | 0 | 6.000000 |
10 | Male | 78 | 78 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 78 | 78 | training | 0.3665970 | 0 | 9.000000 |
10 | Male | 78 | 78 | validation | 0.2130327 | 1 | 5.229978 |
10 | Male | 79 | 79 | testing | 0.1629320 | 0 | 4.000000 |
10 | Male | 79 | 79 | training | 0.5295290 | 0 | 13.000000 |
10 | Male | 79 | 79 | validation | 0.1288902 | 1 | 3.164270 |
10 | Male | 80 | 80 | testing | 0.2036650 | 0 | 5.000000 |
10 | Male | 80 | 80 | training | 0.4073300 | 0 | 10.000000 |
10 | Male | 80 | 80 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 81 | 81 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 81 | 81 | training | 0.6784928 | 1 | 16.657080 |
10 | Male | 81 | 81 | validation | 0.1569933 | 1 | 3.854204 |
10 | Male | 82 | 82 | testing | 0.3258640 | 0 | 8.000000 |
10 | Male | 82 | 82 | training | 0.4073300 | 0 | 10.000000 |
10 | Male | 82 | 82 | validation | 0.1629320 | 0 | 4.000000 |
10 | Male | 83 | 83 | testing | 0.2851310 | 0 | 7.000000 |
10 | Male | 83 | 83 | training | 0.2551039 | 1 | 6.262832 |
10 | Male | 83 | 83 | validation | 0.1629320 | 0 | 4.000000 |
10 | Male | 84 | 84 | testing | 0.3252783 | 2 | 7.985620 |
10 | Male | 84 | 84 | training | 0.3258640 | 0 | 8.000000 |
10 | Male | 84 | 84 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 85 | 85 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 85 | 85 | training | 0.3472759 | 0 | 8.525664 |
10 | Male | 85 | 85 | validation | 0.1275520 | 1 | 3.131416 |
10 | Male | 86 | 86 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 86 | 86 | training | 0.3665970 | 0 | 9.000000 |
10 | Male | 86 | 86 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 87 | 87 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 87 | 87 | training | 0.2331063 | 1 | 5.722788 |
10 | Male | 87 | 87 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 88 | 88 | testing | 0.1629320 | 0 | 4.000000 |
10 | Male | 88 | 88 | training | 0.2851310 | 0 | 7.000000 |
10 | Male | 88 | 88 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 89 | 89 | testing | 0.1629320 | 0 | 4.000000 |
10 | Male | 89 | 89 | training | 0.3258640 | 0 | 8.000000 |
10 | Male | 89 | 89 | validation | 0.2036650 | 0 | 5.000000 |
10 | Male | 90 | 90 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 90 | 90 | training | 0.2851310 | 0 | 7.000000 |
10 | Male | 90 | 90 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 91 | 91 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 91 | 91 | training | 0.1629320 | 0 | 4.000000 |
10 | Male | 91 | 91 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 92 | 92 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 92 | 92 | training | 0.4073300 | 0 | 10.000000 |
10 | Male | 92 | 92 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 93 | 93 | testing | 0.1476256 | 1 | 3.624226 |
10 | Male | 93 | 93 | training | 0.1629320 | 0 | 4.000000 |
10 | Male | 93 | 93 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 94 | 94 | training | 0.2443980 | 0 | 6.000000 |
10 | Male | 94 | 94 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 95 | 95 | testing | 0.2036650 | 0 | 5.000000 |
10 | Male | 95 | 95 | training | 0.2851310 | 0 | 7.000000 |
10 | Male | 95 | 95 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 96 | 96 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 96 | 96 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 96 | 96 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 97 | 97 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 97 | 97 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 98 | 98 | training | 0.2443980 | 0 | 6.000000 |
10 | Male | 98 | 98 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 99 | 99 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 99 | 99 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 99 | 99 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 100 | 100 | training | 0.2036650 | 0 | 5.000000 |
10 | Male | 101 | 101 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 101 | 101 | training | 0.2591187 | 1 | 6.361394 |
10 | Male | 101 | 101 | validation | 0.0814660 | 0 | 2.000000 |
10 | Male | 102 | 102 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 102 | 102 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 103 | 103 | training | 0.1629320 | 0 | 4.000000 |
10 | Male | 103 | 103 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 104 | 104 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 104 | 104 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 104 | 104 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 105 | 105 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 105 | 105 | training | 0.2036650 | 0 | 5.000000 |
10 | Male | 105 | 105 | validation | 0.1221990 | 0 | 3.000000 |
10 | Male | 106 | 106 | testing | 0.1629320 | 0 | 4.000000 |
10 | Male | 106 | 106 | training | 0.1629320 | 0 | 4.000000 |
10 | Male | 106 | 106 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 107 | 107 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 107 | 107 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 108 | 108 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 108 | 108 | training | 0.1221990 | 0 | 3.000000 |
10 | Male | 108 | 108 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 109 | 109 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 109 | 109 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 110 | 110 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 110 | 110 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 111 | 111 | testing | 0.1629320 | 0 | 4.000000 |
10 | Male | 111 | 111 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 111 | 111 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 112 | 112 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 112 | 112 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 113 | 113 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 113 | 113 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 114 | 114 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 114 | 114 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 115 | 115 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 115 | 115 | training | 0.1629320 | 0 | 4.000000 |
10 | Male | 115 | 115 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 116 | 116 | training | 0.1629320 | 1 | 4.000000 |
10 | Male | 116 | 116 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 117 | 117 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 117 | 117 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 117 | 117 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 118 | 118 | training | 0.0608066 | 1 | 1.492810 |
10 | Male | 118 | 118 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 119 | 119 | testing | 0.1221990 | 0 | 3.000000 |
10 | Male | 119 | 119 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 120 | 120 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 120 | 120 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 121 | 121 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 121 | 121 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 122 | 122 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 122 | 122 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 123 | 123 | training | 0.0814660 | 0 | 2.000000 |
10 | Male | 123 | 123 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 124 | 124 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 124 | 124 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 125 | 125 | training | 0.0621449 | 1 | 1.525664 |
10 | Male | 125 | 125 | validation | 0.0407330 | 0 | 1.000000 |
10 | Male | 126 | 126 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 128 | 128 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 129 | 129 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 131 | 131 | testing | 0.0814660 | 0 | 2.000000 |
10 | Male | 131 | 131 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 133 | 133 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 134 | 134 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 136 | 136 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 137 | 137 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 139 | 139 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 139 | 139 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 140 | 140 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 140 | 140 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 141 | 141 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 142 | 142 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 145 | 145 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 146 | 146 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 147 | 147 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 150 | 150 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 152 | 152 | training | 0.0407330 | 0 | 1.000000 |
10 | Male | 156 | 156 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 158 | 158 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 159 | 159 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 160 | 160 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 160 | 161 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 160 | 164 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 160 | 165 | testing | 0.0407330 | 0 | 1.000000 |
10 | Male | 160 | 168 | testing | 0.0407330 | 0 | 1.000000 |
Now we have our data ready let’s get ready for the regression function in the glmnet package. It’s a bit different than what we’ve seen so far, glmnet() uses x, y, and offset input data instead of formulas like in glm(). As a result, we will have to create a few different data sets.
# 4.1.3
# x: Select our independent variables
ind_vars <- agg_data %>%
filter(Sample == "training") %>%
select(Gender,
ClaimDuration_v2_
)
# y: Grab our terminations
terminations <- agg_data %>%
filter(Sample == "training") %>%
select(Terminations)
# offset: create expected termination offset
offset_cal <- agg_data %>%
filter(Sample == "training") %>%
select(exp_terms) %>%
log() %>% # take the log since we are using a log-link function in the GLM
as.matrix()
Next we need to prep our independent variables more for modeling. For all categorical variables we will build indicators for every level. This is different than what is typically done with a non-penalized glm where one would code one of the levels as a reference level. This is known as one-hot encoding (building a full suite of dummy variables). Doing so then allows the penalization to determine which variables should be squeezed into the reference level. You can choose a reference level yourself if you want, but this is not necessary with a penalized regression. It can actually do the math when there is perfect multicollinearity, unlike an OLS regression. This method of one-hot encoding is also applicable to other machine learning methods such as tree based models.
We will also store the data in a sparse matrix via sparse.model.matrix() from the Matrix package, which is an effective way to store data. It works by only storing the non-zero elements of the data, saving a lot of space. Although not every package works with the sparse matrix format, glmnet is a package that does work with this type of data.
# 4.1.4
# First we need to format all the categorical variables as factors to help the
# sparse.model.matrix() function determine which variables to one-hot encode.
# Do this by listing out the variables we want to be factors
factor_vars <- c('Gender',
'ClaimDuration_v2_')
# Now update the variables in our list to be factors
ind_vars[, factor_vars] <- lapply(ind_vars[, factor_vars], as.factor)
We are now ready to create our model. We will store our glm formula in the glm_formula variable.
glm_formula <- formula(~ -1 # drop intercept since glmnet has a statment for this
+ Gender
+ ClaimDuration_v2_:Gender
)
Here in one step we are one-hot encoding our factor variables we have stored in the factor_vars list, building out our model design matrix we have specified in the glm_formula from above and finally taking that design matrix and storing it as a sparse formatted matrix that only points to the rows and columns of the non-zero elements in our design matrix.
x_train_sp <- sparse.model.matrix(glm_formula,
data = ind_vars,
# This contrast call allows us to create indicators
# for every level of variables that have a factor format
contrasts.arg = lapply(ind_vars[, sapply(ind_vars, is.factor)],
contrasts,
contrasts=FALSE)
)
head(x_train_sp)
## 6 x 322 sparse Matrix of class "dgCMatrix"
## [[ suppressing 322 column names 'GenderFemale', 'GenderMale', 'GenderFemale:ClaimDuration_v2_1' ... ]]
##
## 1 1 . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 1 . . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 1 . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 1 . . . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 1 . . . . . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 1 . . . . . . . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
##
## 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
## 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
# store y as sparse matrix
term_sp <- terminations %>%
as.matrix() %>%
Matrix(., sparse=TRUE)
# Grab fold IDs and store them as a vector since glmnet needs them in this format for
# the k-fold CV
fold_ID <- agg_data %>%
filter(Sample == "training") %>%
select(., fold) %>%
t() %>% as.vector()
We will now explore fine tuning the hyperparameters. We want to check how our coefficients change as we vary the lambda penalty.
# 4.1.5
# First we need to set alpha, the value that controls the blend between the ridge
# and lasso penalties. Let's use an alpha = 0 since we are building a simple model
# that adjusts by gender and duration and we believe that all coefficients in our
# model will be non-zero.
my_alpha = 0
glmnet_model1 <- glmnet(x = x_train_sp,
y = term_sp,
family = "poisson",
offset = offset_cal,
alpha = my_alpha,
standardize = FALSE, # set to false since binary variables shouldn't be standardized,
# only continuous ones should be
intercept = FALSE # set intercept to false since the intercept term is not penalized in the model and
# we only want to adjust the assumption if there is credible enough data to do so
)
# plot coefficient path
plot.glmnet(glmnet_model1, xvar = "lambda")
title(main = "Coefficients Across the Penalty Path\n\n")
Unforunately, most of the time the default lambda sequence doesn’t show the full lambda path. Let’s grab the lambda sequence that was used above and store to use with the k-fold CV. We’ll stretch the lambda sequence a bit since usually the auto generated sequence doesn’t cover the full range of penalties (no penalty to full penalty).
#4.1.6
#Stretch out the sequence
my_lambda <- exp(
seq(from=log(glmnet_model1$lambda[1]),
to=log(glmnet_model1$lambda[1]*1e-8),
length.out=100
)
)
# Now let's view how our coefficients change with the full lambda sequence
glmnet_model2 <- glmnet(x = x_train_sp,
y = term_sp,
family = "poisson",
offset = offset_cal,
alpha = my_alpha,
lambda = my_lambda,
standardize = FALSE,
intercept = FALSE
)
# plot coefficient path across the lambda penalties
plot.glmnet(glmnet_model2, xvar = "lambda", ylab = "Coefficients (Log Scale)")
title(main = "Coefficients Across the Penalty Path\n\n")
Note that this function plots the coefficients in log scale since they were fit using a log-link function. Below we have updated this graph by taking the exponential of the coefficient to put them on a multiplicative factor scale, which can be thought of AtoE adjustments being made to the starting E.
# Convert lambda coefficients back to original scale
factor_coef_data <- glmnet_model2
factor_coef_data$beta <- exp(factor_coef_data$beta)
plot.glmnet(factor_coef_data, xvar = "lambda", ylab = "Coefficients (Factor Scale)")
title(main = "Coefficients Across the Penalty Path\n\n")
# Save the coefficient path in a CSV for easier viewing
all_coeff <- coef(glmnet_model2, s=my_lambda) %>%
exp() %>% as.matrix() %>% data.frame()
coeff_seq <- data.frame(all_coeff)
# Save as csv file
write.csv(coeff_seq, file = paste0(data_output, "\\", "0410_Full_coefficient_path.csv"))
Now let’s do a 10-fold cross-validation to select the optimal lambda. We’ll utilize parallel computing by creating new instances of R to process the cross-validation via the registerDoParallel() function in the doParallel Package.
Note, do not use more processes than there are folds. Also do not use more processes than number of cores you have on your computer; otherwise, this causes a traffic jam and slows things down.
# https://protect-us.mimecast.com/s/P9P5C31Jv6s9Vo9NFE9nvW?domain=4.1.7.1
registerDoParallel(6)
glmnet_model2_cv <- cv.glmnet(x = x_train_sp,
y = term_sp,
family = "poisson",
offset = offset_cal,
alpha = my_alpha,
foldid = fold_ID,
lambda = my_lambda,
parallel = TRUE,
standardize = FALSE,
intercept = FALSE
)
# plot cross-validation results
plot(glmnet_model2_cv)
title(main = "K-fold Cross-validation Performance Across the Penalty Path\n\n")
Next we’ll plot the coefficient path across the lambda penalties and add a red line that shows the optimal penalty chosen by the 10-fold CV.
# https://protect-us.mimecast.com/s/C33tC4xKw6t9GE9kF3Wtuw?domain=4.1.7.2
plot.glmnet(factor_coef_data, xvar = "lambda", ylab = "Coefficients (Factor Scale)")
abline(v = log(glmnet_model2_cv$lambda.min), col = "red")
title(main = "Coefficients Across the Penalty Path\n\n")
Let’s zoom in closer to the optimal penalty to get a better view of the coefficients. It appears all but two coefficients produce factors in the range of about 0.95 to 1.05. The two other coefficients have large downward adjustments less than 0.9.
plot.glmnet(factor_coef_data, xlim = c(-1.8, log(max(glmnet_model2_cv$lambda))),
ylim = c(0.75, 1.1),
xvar = "lambda", ylab = "Coefficients (Factor Scale)")
abline(v = log(glmnet_model2_cv$lambda.min), col = "red")
title(main = "Coefficients Across the Penalty Path\n\n")
Now let’s extract our coefficients and predictions that correspond to the lambda the produces the min cross-validation error.
# 4.1.8
Coeff_lambda_min <- coef(glmnet_model2_cv, s="lambda.min") %>%
as.matrix() %>% data.frame()
# This one corresponds to the lambda that is one standard error from the min cross-validation error
Coeff_lambda_1SE <- coef(glmnet_model2_cv, s="lambda.1se") %>%
as.matrix() %>% data.frame()
compare <- data.frame(Coeff_lambda_min[,-1],
lambda_min = exp(Coeff_lambda_min$X1),
lambda_1se = exp(Coeff_lambda_1SE$X1))
We can save the coefficients as a csv file so we can view it outside of R. Looking at the file we can see that the main adjustments were just based on gender with both getting a downward adjustment and male had the largest adjustment.
When models become more complex with additional variables and interactions, reviewing the relationships of the coefficients becomes challenging. One approach for reviewing the final model for reasonableness is to develop pseudo observations of every combination in the model and export predictions for each combination. Then from these predicted values you can create base tables of the assumptions to review the relationships across different cells. Another approach is to review the predictions on the historical experience for reasonableness, which we will do later in this program.
write.csv(compare, file = paste0(data_output, "\\", "0410_Coeff_lambda_min_and_1se.csv"))
kable(compare,"html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
lambda_min | lambda_1se | |
---|---|---|
(Intercept) | 1.0000000 | 1.0000000 |
GenderFemale | 0.8810632 | 0.8981919 |
GenderMale | 0.7611667 | 0.8043140 |
GenderFemale:ClaimDuration_v2_1 | 1.0006540 | 0.9987875 |
GenderMale:ClaimDuration_v2_1 | 0.9970163 | 0.9958662 |
GenderFemale:ClaimDuration_v2_2 | 0.9906548 | 0.9936536 |
GenderMale:ClaimDuration_v2_2 | 0.9908191 | 0.9928462 |
GenderFemale:ClaimDuration_v2_3 | 1.0187608 | 1.0041644 |
GenderMale:ClaimDuration_v2_3 | 1.0144947 | 0.9998356 |
GenderFemale:ClaimDuration_v2_4 | 0.9855326 | 0.9897228 |
GenderMale:ClaimDuration_v2_4 | 0.9963781 | 0.9901861 |
GenderFemale:ClaimDuration_v2_5 | 0.9956959 | 0.9949156 |
GenderMale:ClaimDuration_v2_5 | 0.9752755 | 0.9836276 |
GenderFemale:ClaimDuration_v2_6 | 1.0114052 | 1.0013934 |
GenderMale:ClaimDuration_v2_6 | 0.9973466 | 0.9926815 |
GenderFemale:ClaimDuration_v2_7 | 0.9920954 | 0.9944787 |
GenderMale:ClaimDuration_v2_7 | 1.0114120 | 0.9981660 |
GenderFemale:ClaimDuration_v2_8 | 1.0091299 | 1.0009487 |
GenderMale:ClaimDuration_v2_8 | 0.9778136 | 0.9872198 |
GenderFemale:ClaimDuration_v2_9 | 0.9766828 | 0.9896735 |
GenderMale:ClaimDuration_v2_9 | 0.9773153 | 0.9875406 |
GenderFemale:ClaimDuration_v2_10 | 1.0211722 | 1.0053623 |
GenderMale:ClaimDuration_v2_10 | 1.0251068 | 1.0040588 |
GenderFemale:ClaimDuration_v2_11 | 0.9895114 | 0.9948824 |
GenderMale:ClaimDuration_v2_11 | 0.9590809 | 0.9831702 |
GenderFemale:ClaimDuration_v2_12 | 0.9890215 | 0.9947269 |
GenderMale:ClaimDuration_v2_12 | 1.0347996 | 1.0073735 |
GenderFemale:ClaimDuration_v2_13 | 1.0083624 | 1.0011845 |
GenderMale:ClaimDuration_v2_13 | 1.0130108 | 1.0006858 |
GenderFemale:ClaimDuration_v2_14 | 1.0229575 | 1.0059751 |
GenderMale:ClaimDuration_v2_14 | 1.0150625 | 1.0015174 |
GenderFemale:ClaimDuration_v2_15 | 0.9917533 | 0.9959625 |
GenderMale:ClaimDuration_v2_15 | 0.9879101 | 0.9931457 |
GenderFemale:ClaimDuration_v2_16 | 0.9867007 | 0.9944374 |
GenderMale:ClaimDuration_v2_16 | 0.9777264 | 0.9902134 |
GenderFemale:ClaimDuration_v2_17 | 1.0091153 | 1.0016564 |
GenderMale:ClaimDuration_v2_17 | 0.9816234 | 0.9914739 |
GenderFemale:ClaimDuration_v2_18 | 0.9831526 | 0.9934484 |
GenderMale:ClaimDuration_v2_18 | 1.0088698 | 0.9999795 |
GenderFemale:ClaimDuration_v2_19 | 0.9976626 | 0.9981027 |
GenderMale:ClaimDuration_v2_19 | 0.9954840 | 0.9960295 |
GenderFemale:ClaimDuration_v2_20 | 1.0116093 | 1.0024764 |
GenderMale:ClaimDuration_v2_20 | 0.9912190 | 0.9947693 |
GenderFemale:ClaimDuration_v2_21 | 0.9882286 | 0.9951211 |
GenderMale:ClaimDuration_v2_21 | 0.9898276 | 0.9944401 |
GenderFemale:ClaimDuration_v2_22 | 1.0061811 | 1.0009291 |
GenderMale:ClaimDuration_v2_22 | 0.9796588 | 0.9919128 |
GenderFemale:ClaimDuration_v2_23 | 0.9724276 | 0.9904413 |
GenderMale:ClaimDuration_v2_23 | 1.0320646 | 1.0074708 |
GenderFemale:ClaimDuration_v2_24 | 1.0232501 | 1.0061355 |
GenderMale:ClaimDuration_v2_24 | 0.9864588 | 0.9940830 |
GenderFemale:ClaimDuration_v2_25 | 1.0200292 | 1.0051581 |
GenderMale:ClaimDuration_v2_25 | 1.0015898 | 0.9986198 |
GenderFemale:ClaimDuration_v2_26 | 1.0081372 | 1.0015551 |
GenderMale:ClaimDuration_v2_26 | 0.9987965 | 0.9978348 |
GenderFemale:ClaimDuration_v2_27 | 1.0088295 | 1.0017748 |
GenderMale:ClaimDuration_v2_27 | 1.0027380 | 0.9990283 |
GenderFemale:ClaimDuration_v2_28 | 0.9799981 | 0.9929979 |
GenderMale:ClaimDuration_v2_28 | 0.9937295 | 0.9964309 |
GenderFemale:ClaimDuration_v2_29 | 1.0055070 | 1.0008063 |
GenderMale:ClaimDuration_v2_29 | 0.9889871 | 0.9951033 |
GenderFemale:ClaimDuration_v2_30 | 1.0058233 | 1.0009106 |
GenderMale:ClaimDuration_v2_30 | 1.0107730 | 1.0014417 |
GenderFemale:ClaimDuration_v2_31 | 0.9876805 | 0.9954359 |
GenderMale:ClaimDuration_v2_31 | 0.9841875 | 0.9937612 |
GenderFemale:ClaimDuration_v2_32 | 0.9777275 | 0.9923938 |
GenderMale:ClaimDuration_v2_32 | 0.9886064 | 0.9950797 |
GenderFemale:ClaimDuration_v2_33 | 1.0056070 | 1.0008806 |
GenderMale:ClaimDuration_v2_33 | 1.0062210 | 1.0002519 |
GenderFemale:ClaimDuration_v2_34 | 0.9936569 | 0.9974803 |
GenderMale:ClaimDuration_v2_34 | 1.0247141 | 1.0057806 |
GenderFemale:ClaimDuration_v2_35 | 0.9985985 | 0.9989434 |
GenderMale:ClaimDuration_v2_35 | 0.9896322 | 0.9958126 |
GenderFemale:ClaimDuration_v2_36 | 0.9894509 | 0.9962376 |
GenderMale:ClaimDuration_v2_36 | 0.9886509 | 0.9955436 |
GenderFemale:ClaimDuration_v2_37 | 1.0173625 | 1.0044727 |
GenderMale:ClaimDuration_v2_37 | 0.9995243 | 0.9987327 |
GenderFemale:ClaimDuration_v2_38 | 0.9916992 | 0.9969096 |
GenderMale:ClaimDuration_v2_38 | 1.0037766 | 0.9999302 |
GenderFemale:ClaimDuration_v2_39 | 1.0228907 | 1.0060817 |
GenderMale:ClaimDuration_v2_39 | 0.9971171 | 0.9980922 |
GenderFemale:ClaimDuration_v2_40 | 0.9844606 | 0.9947976 |
GenderMale:ClaimDuration_v2_40 | 1.0037622 | 0.9999795 |
GenderFemale:ClaimDuration_v2_41 | 0.9982545 | 0.9989000 |
GenderMale:ClaimDuration_v2_41 | 0.9869953 | 0.9952328 |
GenderFemale:ClaimDuration_v2_42 | 0.9918690 | 0.9970480 |
GenderMale:ClaimDuration_v2_42 | 1.0063339 | 1.0007998 |
GenderFemale:ClaimDuration_v2_43 | 1.0125331 | 1.0030840 |
GenderMale:ClaimDuration_v2_43 | 1.0065085 | 1.0008777 |
GenderFemale:ClaimDuration_v2_44 | 1.0013071 | 0.9998213 |
GenderMale:ClaimDuration_v2_44 | 1.0064453 | 1.0008848 |
GenderFemale:ClaimDuration_v2_45 | 0.9922533 | 0.9971885 |
GenderMale:ClaimDuration_v2_45 | 0.9816965 | 0.9939201 |
GenderFemale:ClaimDuration_v2_46 | 0.9962139 | 0.9984729 |
GenderMale:ClaimDuration_v2_46 | 1.0031246 | 1.0001425 |
GenderFemale:ClaimDuration_v2_47 | 1.0141734 | 1.0036232 |
GenderMale:ClaimDuration_v2_47 | 1.0104936 | 1.0022527 |
GenderFemale:ClaimDuration_v2_48 | 0.9816165 | 0.9942664 |
GenderMale:ClaimDuration_v2_48 | 1.0017084 | 0.9997796 |
GenderFemale:ClaimDuration_v2_49 | 1.0145965 | 1.0037538 |
GenderMale:ClaimDuration_v2_49 | 1.0089943 | 1.0018654 |
GenderFemale:ClaimDuration_v2_50 | 0.9948165 | 0.9981064 |
GenderMale:ClaimDuration_v2_50 | 1.0060949 | 1.0010698 |
GenderFemale:ClaimDuration_v2_51 | 1.0111297 | 1.0027769 |
GenderMale:ClaimDuration_v2_51 | 0.9900753 | 0.9966252 |
GenderFemale:ClaimDuration_v2_52 | 1.0045759 | 1.0009019 |
GenderMale:ClaimDuration_v2_52 | 0.9894660 | 0.9964430 |
GenderFemale:ClaimDuration_v2_53 | 0.9978172 | 0.9989868 |
GenderMale:ClaimDuration_v2_53 | 0.9990447 | 0.9991358 |
GenderFemale:ClaimDuration_v2_54 | 0.9910841 | 0.9970554 |
GenderMale:ClaimDuration_v2_54 | 0.9927849 | 0.9974015 |
GenderFemale:ClaimDuration_v2_55 | 0.9998340 | 0.9995755 |
GenderMale:ClaimDuration_v2_55 | 1.0013392 | 0.9998117 |
GenderFemale:ClaimDuration_v2_56 | 0.9912019 | 0.9971161 |
GenderMale:ClaimDuration_v2_56 | 0.9874214 | 0.9959305 |
GenderFemale:ClaimDuration_v2_57 | 1.0046762 | 1.0009709 |
GenderMale:ClaimDuration_v2_57 | 0.9943383 | 0.9978942 |
GenderFemale:ClaimDuration_v2_58 | 0.9874826 | 0.9961756 |
GenderMale:ClaimDuration_v2_58 | 0.9966299 | 0.9986321 |
GenderFemale:ClaimDuration_v2_59 | 1.0016978 | 1.0001995 |
GenderMale:ClaimDuration_v2_59 | 0.9886770 | 0.9964393 |
GenderFemale:ClaimDuration_v2_60 | 0.9875636 | 0.9962137 |
GenderMale:ClaimDuration_v2_60 | 0.9861251 | 0.9957473 |
GenderFemale:ClaimDuration_v2_61 | 1.0028952 | 1.0005514 |
GenderMale:ClaimDuration_v2_61 | 0.9970406 | 0.9988131 |
GenderFemale:ClaimDuration_v2_62 | 1.0006032 | 0.9999139 |
GenderMale:ClaimDuration_v2_62 | 0.9956873 | 0.9984465 |
GenderFemale:ClaimDuration_v2_63 | 1.0179991 | 1.0047784 |
GenderMale:ClaimDuration_v2_63 | 0.9989383 | 0.9993684 |
GenderFemale:ClaimDuration_v2_64 | 0.9988029 | 0.9994178 |
GenderMale:ClaimDuration_v2_64 | 1.0072233 | 1.0016613 |
GenderFemale:ClaimDuration_v2_65 | 1.0037649 | 1.0008166 |
GenderMale:ClaimDuration_v2_65 | 0.9953841 | 0.9983883 |
GenderFemale:ClaimDuration_v2_66 | 0.9869215 | 0.9960998 |
GenderMale:ClaimDuration_v2_66 | 1.0021215 | 1.0002948 |
GenderFemale:ClaimDuration_v2_67 | 1.0025016 | 1.0004834 |
GenderMale:ClaimDuration_v2_67 | 0.9846730 | 0.9954538 |
GenderFemale:ClaimDuration_v2_68 | 1.0031306 | 1.0006533 |
GenderMale:ClaimDuration_v2_68 | 0.9853158 | 0.9956450 |
GenderFemale:ClaimDuration_v2_69 | 0.9856154 | 0.9957501 |
GenderMale:ClaimDuration_v2_69 | 1.0036847 | 1.0007198 |
GenderFemale:ClaimDuration_v2_70 | 0.9939178 | 0.9981432 |
GenderMale:ClaimDuration_v2_70 | 0.9961896 | 0.9987163 |
GenderFemale:ClaimDuration_v2_71 | 0.9961203 | 0.9987596 |
GenderMale:ClaimDuration_v2_71 | 0.9939675 | 0.9981293 |
GenderFemale:ClaimDuration_v2_72 | 1.0084797 | 1.0021920 |
GenderMale:ClaimDuration_v2_72 | 0.9956936 | 0.9986023 |
GenderFemale:ClaimDuration_v2_73 | 0.9960042 | 0.9987379 |
GenderMale:ClaimDuration_v2_73 | 1.0068814 | 1.0016951 |
GenderFemale:ClaimDuration_v2_74 | 0.9895484 | 0.9969446 |
GenderMale:ClaimDuration_v2_74 | 1.0032559 | 1.0007073 |
GenderFemale:ClaimDuration_v2_75 | 0.9996456 | 0.9997595 |
GenderMale:ClaimDuration_v2_75 | 1.0001375 | 0.9998637 |
GenderFemale:ClaimDuration_v2_76 | 0.9862025 | 0.9960268 |
GenderMale:ClaimDuration_v2_76 | 1.0001471 | 0.9998665 |
GenderFemale:ClaimDuration_v2_77 | 1.0072477 | 1.0018689 |
GenderMale:ClaimDuration_v2_77 | 1.0036503 | 1.0008487 |
GenderFemale:ClaimDuration_v2_78 | 0.9987075 | 0.9995151 |
GenderMale:ClaimDuration_v2_78 | 0.9934418 | 0.9980390 |
GenderFemale:ClaimDuration_v2_79 | 0.9997155 | 0.9997994 |
GenderMale:ClaimDuration_v2_79 | 0.9932397 | 0.9979800 |
GenderFemale:ClaimDuration_v2_80 | 0.9869265 | 0.9962499 |
GenderMale:ClaimDuration_v2_80 | 0.9924097 | 0.9977695 |
GenderFemale:ClaimDuration_v2_81 | 1.0033399 | 1.0007995 |
GenderMale:ClaimDuration_v2_81 | 0.9993781 | 0.9996733 |
GenderFemale:ClaimDuration_v2_82 | 1.0059864 | 1.0015549 |
GenderMale:ClaimDuration_v2_82 | 0.9961805 | 0.9988366 |
GenderFemale:ClaimDuration_v2_83 | 0.9995988 | 0.9998071 |
GenderMale:ClaimDuration_v2_83 | 0.9961337 | 0.9988230 |
GenderFemale:ClaimDuration_v2_84 | 0.9989395 | 0.9996325 |
GenderMale:ClaimDuration_v2_84 | 0.9952809 | 0.9986063 |
GenderFemale:ClaimDuration_v2_85 | 0.9923524 | 0.9978110 |
GenderMale:ClaimDuration_v2_85 | 0.9999422 | 0.9998951 |
GenderFemale:ClaimDuration_v2_86 | 0.9929214 | 0.9979721 |
GenderMale:ClaimDuration_v2_86 | 0.9994578 | 0.9997553 |
GenderFemale:ClaimDuration_v2_87 | 1.0010241 | 1.0002061 |
GenderMale:ClaimDuration_v2_87 | 0.9977250 | 0.9992844 |
GenderFemale:ClaimDuration_v2_88 | 0.9998988 | 0.9999012 |
GenderMale:ClaimDuration_v2_88 | 0.9950017 | 0.9985564 |
GenderFemale:ClaimDuration_v2_89 | 0.9992325 | 0.9997147 |
GenderMale:ClaimDuration_v2_89 | 1.0005666 | 1.0000751 |
GenderFemale:ClaimDuration_v2_90 | 0.9980731 | 0.9994001 |
GenderMale:ClaimDuration_v2_90 | 0.9960608 | 0.9988327 |
GenderFemale:ClaimDuration_v2_91 | 0.9924656 | 0.9978560 |
GenderMale:ClaimDuration_v2_91 | 0.9948850 | 0.9985225 |
GenderFemale:ClaimDuration_v2_92 | 0.9942808 | 0.9983684 |
GenderMale:ClaimDuration_v2_92 | 0.9983388 | 0.9994619 |
GenderFemale:ClaimDuration_v2_93 | 0.9985814 | 0.9995426 |
GenderMale:ClaimDuration_v2_93 | 0.9981963 | 0.9994207 |
GenderFemale:ClaimDuration_v2_94 | 1.0007509 | 1.0001590 |
GenderMale:ClaimDuration_v2_94 | 1.0002728 | 1.0000197 |
GenderFemale:ClaimDuration_v2_95 | 1.0073965 | 1.0019753 |
GenderMale:ClaimDuration_v2_95 | 0.9960462 | 0.9988594 |
GenderFemale:ClaimDuration_v2_96 | 1.0032194 | 1.0008360 |
GenderMale:ClaimDuration_v2_96 | 0.9993283 | 0.9997772 |
GenderFemale:ClaimDuration_v2_97 | 1.0025053 | 1.0006377 |
GenderMale:ClaimDuration_v2_97 | 0.9966399 | 0.9990313 |
GenderFemale:ClaimDuration_v2_98 | 0.9943467 | 0.9984114 |
GenderMale:ClaimDuration_v2_98 | 0.9966399 | 0.9990313 |
GenderFemale:ClaimDuration_v2_99 | 0.9998556 | 0.9999195 |
GenderMale:ClaimDuration_v2_99 | 0.9985340 | 0.9995482 |
GenderFemale:ClaimDuration_v2_100 | 1.0048086 | 1.0012680 |
GenderMale:ClaimDuration_v2_100 | 0.9966399 | 0.9990313 |
GenderFemale:ClaimDuration_v2_101 | 0.9962188 | 0.9989247 |
GenderMale:ClaimDuration_v2_101 | 1.0002389 | 1.0000100 |
GenderFemale:ClaimDuration_v2_102 | 0.9974377 | 0.9992548 |
GenderMale:ClaimDuration_v2_102 | 0.9987754 | 0.9996179 |
GenderFemale:ClaimDuration_v2_103 | 1.0003831 | 1.0000664 |
GenderMale:ClaimDuration_v2_103 | 0.9972857 | 0.9992180 |
GenderFemale:ClaimDuration_v2_104 | 0.9984461 | 0.9995366 |
GenderMale:ClaimDuration_v2_104 | 0.9999228 | 0.9999484 |
GenderFemale:ClaimDuration_v2_105 | 0.9973939 | 0.9992536 |
GenderMale:ClaimDuration_v2_105 | 0.9970786 | 0.9991581 |
GenderFemale:ClaimDuration_v2_106 | 0.9996325 | 0.9998777 |
GenderMale:ClaimDuration_v2_106 | 0.9978700 | 0.9993867 |
GenderFemale:ClaimDuration_v2_107 | 1.0013861 | 1.0003549 |
GenderMale:ClaimDuration_v2_107 | 0.9994618 | 0.9998157 |
GenderFemale:ClaimDuration_v2_108 | 1.0073194 | 1.0019686 |
GenderMale:ClaimDuration_v2_108 | 0.9999839 | 0.9999659 |
GenderFemale:ClaimDuration_v2_109 | 0.9960433 | 0.9988987 |
GenderMale:ClaimDuration_v2_109 | 1.0024139 | 1.0006346 |
GenderFemale:ClaimDuration_v2_110 | 0.9964904 | 0.9990236 |
GenderMale:ClaimDuration_v2_110 | 0.9983452 | 0.9995238 |
GenderFemale:ClaimDuration_v2_111 | 0.9982769 | 0.9995108 |
GenderMale:ClaimDuration_v2_111 | 0.9980506 | 0.9994388 |
GenderFemale:ClaimDuration_v2_112 | 0.9997768 | 0.9999178 |
GenderMale:ClaimDuration_v2_112 | 0.9983452 | 0.9995238 |
GenderFemale:ClaimDuration_v2_113 | 0.9997760 | 0.9999176 |
GenderMale:ClaimDuration_v2_113 | 1.0003825 | 1.0000805 |
GenderFemale:ClaimDuration_v2_114 | 1.0001353 | 1.0000174 |
GenderMale:ClaimDuration_v2_114 | 0.9985811 | 0.9995918 |
GenderFemale:ClaimDuration_v2_115 | 1.0003773 | 1.0000846 |
GenderMale:ClaimDuration_v2_115 | 1.0017391 | 1.0004411 |
GenderFemale:ClaimDuration_v2_116 | 0.9984954 | 0.9995717 |
GenderMale:ClaimDuration_v2_116 | 1.0000150 | 0.9999749 |
GenderFemale:ClaimDuration_v2_117 | 0.9980834 | 0.9994569 |
GenderMale:ClaimDuration_v2_117 | 0.9986401 | 0.9996088 |
GenderFemale:ClaimDuration_v2_118 | 0.9975236 | 0.9993118 |
GenderMale:ClaimDuration_v2_118 | 1.0005777 | 1.0001366 |
GenderFemale:ClaimDuration_v2_119 | 1.0018691 | 1.0004982 |
GenderMale:ClaimDuration_v2_119 | 0.9989943 | 0.9997108 |
GenderFemale:ClaimDuration_v2_120 | 0.9997443 | 0.9999189 |
GenderMale:ClaimDuration_v2_120 | 1.0009235 | 1.0002360 |
GenderFemale:ClaimDuration_v2_121 | 0.9977859 | 0.9993849 |
GenderMale:ClaimDuration_v2_121 | 0.9990534 | 0.9997278 |
GenderFemale:ClaimDuration_v2_122 | 1.0015881 | 1.0004204 |
GenderMale:ClaimDuration_v2_122 | 1.0006864 | 1.0001679 |
GenderFemale:ClaimDuration_v2_123 | 0.9977518 | 0.9993754 |
GenderMale:ClaimDuration_v2_123 | 0.9990534 | 0.9997278 |
GenderFemale:ClaimDuration_v2_124 | 0.9979591 | 0.9994331 |
GenderMale:ClaimDuration_v2_124 | 0.9994672 | 0.9998469 |
GenderFemale:ClaimDuration_v2_125 | 0.9981386 | 0.9994831 |
GenderMale:ClaimDuration_v2_125 | 1.0030626 | 1.0008204 |
GenderFemale:ClaimDuration_v2_126 | 0.9983056 | 0.9995295 |
GenderMale:ClaimDuration_v2_126 | 0.9994081 | 0.9998298 |
GenderFemale:ClaimDuration_v2_127 | 1.0002076 | 1.0000475 |
GenderMale:ClaimDuration_v2_127 | 0.9995855 | 0.9998809 |
GenderFemale:ClaimDuration_v2_128 | 0.9984491 | 0.9995694 |
GenderMale:ClaimDuration_v2_128 | 0.9995855 | 0.9998809 |
GenderFemale:ClaimDuration_v2_129 | 1.0000179 | 0.9999949 |
GenderMale:ClaimDuration_v2_129 | 1.0013049 | 1.0003454 |
GenderFemale:ClaimDuration_v2_130 | 1.0026347 | 1.0007099 |
GenderMale:ClaimDuration_v2_130 | 0.9996447 | 0.9998979 |
GenderFemale:ClaimDuration_v2_131 | 0.9989563 | 0.9997104 |
GenderMale:ClaimDuration_v2_131 | 0.9997039 | 0.9999149 |
GenderFemale:ClaimDuration_v2_132 | 1.0007971 | 1.0002109 |
GenderMale:ClaimDuration_v2_132 | 0.9994672 | 0.9998469 |
GenderFemale:ClaimDuration_v2_133 | 1.0027429 | 1.0007398 |
GenderMale:ClaimDuration_v2_133 | 1.0032872 | 1.0008846 |
GenderFemale:ClaimDuration_v2_134 | 0.9989840 | 0.9997181 |
GenderMale:ClaimDuration_v2_134 | 0.9997631 | 0.9999319 |
GenderFemale:ClaimDuration_v2_135 | 0.9989563 | 0.9997104 |
GenderMale:ClaimDuration_v2_135 | 1.0016613 | 1.0004476 |
GenderFemale:ClaimDuration_v2_136 | 0.9988260 | 0.9996742 |
GenderMale:ClaimDuration_v2_136 | 0.9995264 | 0.9998639 |
GenderFemale:ClaimDuration_v2_137 | 0.9991300 | 0.9997587 |
GenderMale:ClaimDuration_v2_137 | 0.9997039 | 0.9999149 |
GenderFemale:ClaimDuration_v2_138 | 0.9989128 | 0.9996983 |
GenderMale:ClaimDuration_v2_138 | 0.9998223 | 0.9999489 |
GenderFemale:ClaimDuration_v2_139 | 0.9994342 | 0.9998431 |
GenderMale:ClaimDuration_v2_139 | 0.9998223 | 0.9999489 |
GenderFemale:ClaimDuration_v2_140 | 0.9991734 | 0.9997707 |
GenderMale:ClaimDuration_v2_140 | 0.9997631 | 0.9999319 |
GenderFemale:ClaimDuration_v2_141 | 0.9991734 | 0.9997707 |
GenderMale:ClaimDuration_v2_141 | 0.9997631 | 0.9999319 |
GenderFemale:ClaimDuration_v2_142 | 0.9994777 | 0.9998552 |
GenderMale:ClaimDuration_v2_142 | 0.9998223 | 0.9999489 |
GenderFemale:ClaimDuration_v2_143 | 0.9993038 | 0.9998069 |
GenderMale:ClaimDuration_v2_143 | 0.9997039 | 0.9999149 |
GenderFemale:ClaimDuration_v2_144 | 0.9993038 | 0.9998069 |
GenderMale:ClaimDuration_v2_144 | 1.0016574 | 1.0004465 |
GenderFemale:ClaimDuration_v2_145 | 0.9993473 | 0.9998190 |
GenderMale:ClaimDuration_v2_145 | 0.9997039 | 0.9999149 |
GenderFemale:ClaimDuration_v2_146 | 0.9993473 | 0.9998190 |
GenderMale:ClaimDuration_v2_146 | 0.9998223 | 0.9999489 |
GenderFemale:ClaimDuration_v2_147 | 0.9994777 | 0.9998552 |
GenderMale:ClaimDuration_v2_147 | 0.9998223 | 0.9999489 |
GenderFemale:ClaimDuration_v2_148 | 0.9993038 | 0.9998069 |
GenderMale:ClaimDuration_v2_148 | 0.9998815 | 0.9999660 |
GenderFemale:ClaimDuration_v2_149 | 1.0013161 | 1.0003546 |
GenderMale:ClaimDuration_v2_149 | 0.9998815 | 0.9999660 |
GenderFemale:ClaimDuration_v2_150 | 1.0015824 | 1.0004283 |
GenderMale:ClaimDuration_v2_150 | 0.9998815 | 0.9999660 |
GenderFemale:ClaimDuration_v2_151 | 0.9996082 | 0.9998914 |
GenderMale:ClaimDuration_v2_151 | 0.9999408 | 0.9999830 |
GenderFemale:ClaimDuration_v2_152 | 0.9995647 | 0.9998793 |
GenderMale:ClaimDuration_v2_152 | 0.9998815 | 0.9999660 |
GenderFemale:ClaimDuration_v2_153 | 0.9996517 | 0.9999034 |
GenderMale:ClaimDuration_v2_153 | 0.9999408 | 0.9999830 |
GenderFemale:ClaimDuration_v2_154 | 0.9997388 | 0.9999276 |
GenderMale:ClaimDuration_v2_154 | 1.0000000 | 1.0000000 |
GenderFemale:ClaimDuration_v2_155 | 0.9998258 | 0.9999517 |
GenderMale:ClaimDuration_v2_155 | 1.0000000 | 1.0000000 |
GenderFemale:ClaimDuration_v2_156 | 0.9998258 | 0.9999517 |
GenderMale:ClaimDuration_v2_156 | 1.0000000 | 1.0000000 |
GenderFemale:ClaimDuration_v2_157 | 0.9996952 | 0.9999155 |
GenderMale:ClaimDuration_v2_157 | 0.9999408 | 0.9999830 |
GenderFemale:ClaimDuration_v2_158 | 1.0017908 | 1.0004859 |
GenderMale:ClaimDuration_v2_158 | 0.9999408 | 0.9999830 |
GenderFemale:ClaimDuration_v2_159 | 0.9997823 | 0.9999396 |
GenderMale:ClaimDuration_v2_159 | 0.9999408 | 0.9999830 |
GenderFemale:ClaimDuration_v2_160 | 1.0003288 | 1.0000712 |
GenderMale:ClaimDuration_v2_160 | 1.0000000 | 1.0000000 |
We can see that the female coefficient makes a large downward adjustment of 0.88. For illustration purposes we intentionally made the female E about 15% higher than the actual termination rates in the training data.
compare[2,]$lambda_min
## [1] 0.8810632
1/compare[2,]$lambda_min-1
## [1] 0.1349923
We can see that the male coefficient makes a large downward adjustment of 0.76. For illustration purposes we intentionally made the male E about 30% higher than the actual.
compare[3,]$lambda_min
## [1] 0.7611667
1/compare[3,]$lambda_min-1
## [1] 0.3137726
The remaining durational adjustments are pretty small with adjustments in the range of 0.95 to 1.05, which shows that the penalization with the k-fold CV helped balance the bias-variance trade-off to produce factor adjustments that are not overfit to the data (e.g., produce credibility adjusted coefficients).
Now let’s calculate the fit on our various data sets across the full lambda path. Typically we would not do such a test on all data sets since testing the various penalties on the data sets would bias our model. And most of the time you may not have enough data to afford to have data held out for a validation/test set. We are providing this illustration to help show how the k-fold cross-validation is a good proxy of how your model will perform on an out-of-sample data set that was not used to train the model. It also illustrated how the choice of the selecting the lambda.min and lambda.1se can involve some judgment, but usually both get you in the same ballpark.
devi = function(type) {
# Select our independent variables
agg_vars <- agg_data %>%
filter(Sample == type)
# Now update the variables in our list to be factors
agg_vars[, factor_vars] <- lapply(agg_vars[, factor_vars], as.factor)
x_vars <- sparse.model.matrix(glm_formula,
data = agg_vars,
contrasts.arg = lapply(agg_vars[, sapply(agg_vars,
is.factor)],
contrasts, contrasts=FALSE)
)
# Grab our terminations
y <- agg_data %>%
filter(Sample == type) %>%
select(Terminations)
# create exposure offset
offset <- agg_data %>%
filter(Sample == type) %>%
select(exp_terms) %>%
log() %>% # take the log since we are using a log-link function in the GLM
as.matrix()
# predict at every lambda level
eta <- predict(glmnet_model2, newx=x_vars, newoffset=offset, type='link')
# Poisson deviance formula taken from glmnet code
# https://protect-us.mimecast.com/s/lLOCC5y0x7fpO3pNF9BV_g?domain=github.com
deveta = y$Terminations * eta - exp(eta)
devy = y$Terminations * log(y$Terminations) - y$Terminations
devy[y$Terminations == 0] = 0
apply(2*(devy - deveta), 2, mean, na.rm = TRUE)
}
agg_data %>% distinct(Sample)
## Sample
## 1 testing
## 2 training
## 3 validation
deviance_cal = devi("training")
deviance_val = devi("validation")
deviance_test = devi("testing")
min_lambdas <- data.frame(train.min = which.min(deviance_cal),
cv.min = which.min(glmnet_model2_cv$cvm),
val.min = which.min(deviance_val),
test.min = which.min(deviance_test))
row.names(min_lambdas) <- "Lowest Error Lambda"
Let’s plot the training, validation, testing and 10-fold CV error. We will drop the values on the y-axis since we only care about the location of the lowest error on these curves when trying to select the lambda values. We’ll include lines that indicate the best lambda for each set.
# https://protect-us.mimecast.com/s/-gngC68VyWS0x70wivgzPf?domain=4.1.9.2
plot(glmnet_model2_cv,
ylab='Error',
ylim = c(min(deviance_cal), max(glmnet_model2_cv$cvm)),
yaxt='n')
title(main = "Performance Across the Penalty Path for Various Data Sets\n\n")
#Add red line
abline(v = log(glmnet_model2$lambda[min_lambdas$cv.min]), col = "red")
# https://protect-us.mimecast.com/s/MthPC73Jz9hV92V7FPWOdQ?domain=4.1.9.3 - Add on the training error curve
points(log(glmnet_model2$lambda), deviance_cal, col="blue", pch="*")
legend("topleft", c("10 fold CV", "Train"), pch="*",
col=c("red", "blue"), lty=1:3, cex=0.8)
#add line
abline(v = log(glmnet_model2$lambda[min_lambdas$train.min]), col = "blue")
#add line
legend("topleft", c("10 fold CV", "Train", "Validation"), pch="*",
col=c("red", "blue", "green"), lty=1:3, cex=0.8)
abline(v = log(glmnet_model2$lambda[min_lambdas$val.min]), col = "green")
#add line
legend("topleft", c("10 fold CV", "Train", "Validation", "Test"), pch="*",
col=c("red", "blue", "green", "orange"), lty=1:3, cex=0.8)
abline(v = log(glmnet_model2$lambda[min_lambdas$test.min]), col = "orange")
min_lambdas
## train.min cv.min val.min test.min
## Lowest Error Lambda 100 41 45 42
As you can see with the blue vertical line, the best fit based on the training error suggests using no penalty, which will always be the case when looking at the training error. Looking at the lambda index chosen for each we can see that the 10-fold CV did a good job at picking a lambda value that worked well on the validation and test sets. If we based our decision on selecting the penalty that produced the lowest training error then we would have no penalty at all and would have overfit the data. This highlights the ability of the penalized GLMs ability to automate the bias-variance trade-off.
After reviewing our results now let’s test the fit further. First we’ll re-score all the data.
# https://protect-us.mimecast.com/s/mOirC82YA3CPxWP4IyToqa?domain=4.1.10.1
# create exposure offset
offset <- agg_data %>%
mutate(LnExp_Term = log(exp_terms)) %>%
select(LnExp_Term) %>%
as.matrix()
# Convert our variables in our factor_vars list to factors
agg_data[, factor_vars] <- lapply(agg_data[, factor_vars], as.factor)
# create our sparse matrix of indicator variables
x_all <- sparse.model.matrix(glm_formula,
data = agg_data,
contrasts.arg = lapply(agg_data[, sapply(agg_data, is.factor)],
contrasts,
contrasts=FALSE)
)
# Make some predictions at lambda.1se, lambda.min and no penalty
lambda_1se <- predict(glmnet_model2_cv,
newx = x_all,
newoffset = offset,
type = 'response',
s = "lambda.1se")
lambda_min <- predict(glmnet_model2_cv,
newx = x_all,
newoffset = offset,
type = 'response',
s = "lambda.min")
no_penalty <- predict(glmnet_model2_cv,
newx = x_all,
newoffset = offset,
type = 'response',
s = 0)
predictions <- data.frame(agg_data,
lambda_1se = lambda_1se[,1],
lambda_min = lambda_min[,1],
no_penalty = no_penalty[,1])
rm(lambda_min,
no_penalty,
lambda_1se)
head(predictions) %>%
kable("html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
fold | Gender | ClaimDuration_v2_ | ClaimDuration | Sample | exp_terms | Terminations | Exposure | lambda_1se | lambda_min | no_penalty |
---|---|---|---|---|---|---|---|---|---|---|
1 | Female | 1 | 1 | testing | 3.125326 | 4 | 24.49680 | 2.803739 | 2.755411 | 2.761546 |
1 | Female | 1 | 1 | training | 16.503188 | 22 | 129.35459 | 14.805057 | 14.549862 | 14.582254 |
1 | Female | 1 | 1 | validation | 6.188302 | 7 | 48.50489 | 5.551543 | 5.455851 | 5.467998 |
1 | Female | 2 | 2 | testing | 7.122075 | 8 | 64.76792 | 6.356393 | 6.216357 | 6.122601 |
1 | Female | 2 | 2 | training | 34.601526 | 30 | 314.66517 | 30.881572 | 30.201233 | 29.745733 |
1 | Female | 2 | 2 | validation | 13.076560 | 10 | 118.91781 | 11.670720 | 11.413607 | 11.241465 |
# https://protect-us.mimecast.com/s/l51wC9rXB9SNPAN7tx8qz4?domain=4.1.10.2
AtoE_sample <- predictions %>%
group_by(Sample) %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
AtoE_bench = round(sum(Terminations)/sum(exp_terms), 2),
AtoE_lambda_1se = round(sum(Terminations)/sum(lambda_1se), 2),
AtoE_lambda_min = round(sum(Terminations)/sum(lambda_min), 2),
AtoE_no_penalty = round(sum(Terminations)/sum(no_penalty), 2))
kable(AtoE_sample, "html") %>%
kable_styling()
Sample | Termination | Rate | AtoE_bench | AtoE_lambda_1se | AtoE_lambda_min | AtoE_no_penalty |
---|---|---|---|---|---|---|
testing | 4,344 | 2.5% | 0.82 | 0.96 | 0.99 | 1.01 |
training | 12,449 | 2.63% | 0.81 | 0.95 | 0.98 | 1.00 |
validation | 4,158 | 2.64% | 0.82 | 0.96 | 0.99 | 1.01 |
The overall AtoEs on our three training sets indicate the no penalty and lambda.min are all close to 1.0. We will always see the no penalty having and AtoE of 1.0 on the training slice of data since it is fit 100% to that data. It is typical that the AtoE for lambda.min and lambda.1se on the training set differ from 1.0, which shows the penalization in action as it controls for overfitting. Although looking at the AtoE in overall aggregate doesn’t tell the full story since in aggregate the AtoE deviations cancel out across various cells.
AtoE_sample_gender <- predictions %>%
group_by(Sample,
Gender) %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
AtoE_bench = round(sum(Terminations)/sum(exp_terms), 2),
AtoE_lambda_1se = round(sum(Terminations)/sum(lambda_1se), 2),
AtoE_lambda_min = round(sum(Terminations)/sum(lambda_min), 2),
AtoE_no_penalty = round(sum(Terminations)/sum(no_penalty), 2))
kable(AtoE_sample_gender,"html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
Sample | Gender | Termination | Rate | AtoE_bench | AtoE_lambda_1se | AtoE_lambda_min | AtoE_no_penalty |
---|---|---|---|---|---|---|---|
testing | Female | 2,648 | 2.19% | 0.88 | 0.98 | 1.00 | 1.01 |
testing | Male | 1,696 | 3.2% | 0.75 | 0.94 | 0.99 | 1.02 |
training | Female | 7,603 | 2.33% | 0.87 | 0.97 | 0.99 | 1.00 |
training | Male | 4,846 | 3.29% | 0.74 | 0.92 | 0.97 | 1.00 |
validation | Female | 2,582 | 2.38% | 0.89 | 0.99 | 1.01 | 1.02 |
validation | Male | 1,576 | 3.23% | 0.73 | 0.91 | 0.96 | 0.99 |
Looking at a more granular cut by gender we can see in general the AtoEs for lambda.min on the validation and test sets are closer to 1.0 than the no penalty prediction. However, we can see that the lambda.min AtoE for Males on the validation set is worse than the no penalty (0.96 vs 0.99), but keep in mind again the within cell AtoE deviations canceling out are at play here. One metric that overcomes deviation canceling out is mean squared error (MSE), which we will explore next to help us get a better idea of the model’s performance.
# 4.1.11
MSE_sample <- predictions %>%
group_by(Sample) %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
mse_bench = round(sum((Terminations-exp_terms)^2)/sum(Exposure), 4),
mse_lambda_1se = round(sum((Terminations-lambda_1se)^2)/sum(Exposure), 4),
mse_lambda_min = round(sum((Terminations-lambda_min)^2)/sum(Exposure), 4),
mse_no_penalty = round(sum((Terminations-no_penalty)^2)/sum(Exposure), 4))
kable(MSE_sample,"html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
Sample | Termination | Rate | mse_bench | mse_lambda_1se | mse_lambda_min | mse_no_penalty |
---|---|---|---|---|---|---|
testing | 4,344 | 2.5% | 0.0297 | 0.0245 | 0.0243 | 0.0254 |
training | 12,449 | 2.63% | 0.0478 | 0.0263 | 0.0251 | 0.0237 |
validation | 4,158 | 2.64% | 0.0340 | 0.0272 | 0.0270 | 0.0274 |
By taking a look at the mean squared error (MSE), we can see the no penalty performs better on the training data because MSE is lower, but lambda.min performs better on both the validation and testing. This is what we expected and again confirms the penalization is working correctly. We can also look at MSE by gender.
MSE_sample_gender <- predictions %>%
group_by(Sample,
Gender) %>%
summarise(Termination = comma(sum(Terminations)),
Rate = percent(sum(Terminations)/sum(Exposure)),
mse_bench = round(sum((Terminations-exp_terms)^2)/sum(Exposure), 4),
mse_lambda_1se = round(sum((Terminations-lambda_1se)^2)/sum(Exposure), 4),
mse_lambda_min = round(sum((Terminations-lambda_min)^2)/sum(Exposure), 4),
mse_no_penalty = round(sum((Terminations-no_penalty)^2)/sum(Exposure), 4))
kable(MSE_sample_gender,"html") %>%
kable_styling() %>%
scroll_box(width = "900px", height = "250px")
Sample | Gender | Termination | Rate | mse_bench | mse_lambda_1se | mse_lambda_min | mse_no_penalty |
---|---|---|---|---|---|---|---|
testing | Female | 2,648 | 2.19% | 0.0225 | 0.0204 | 0.0203 | 0.0211 |
testing | Male | 1,696 | 3.2% | 0.0462 | 0.0338 | 0.0335 | 0.0354 |
training | Female | 7,603 | 2.33% | 0.0307 | 0.0218 | 0.0213 | 0.0203 |
training | Male | 4,846 | 3.29% | 0.0859 | 0.0364 | 0.0336 | 0.0311 |
validation | Female | 2,582 | 2.38% | 0.0270 | 0.0249 | 0.0249 | 0.0253 |
validation | Male | 1,576 | 3.23% | 0.0496 | 0.0324 | 0.0315 | 0.0322 |
By viewing more granular by Gender we can see for that every cell in the validation and testing set the MSE is lower for the lambda.min prediction than the no penalty prediction. This again confirms the penalization is working correctly and shows that AtoEs sometimes do not show the full picture as deviations within cells can cancel out. In general you will witness a lower MSE for the lambda.min prediction than the no penalty prediction when viewing results on the hold-out data sets.
# https://protect-us.mimecast.com/s/k1obC0R3p8fglQgPsNuQXH?domain=4.1.12.1
agg_results <- predictions %>%
group_by(ClaimDuration, Sample) %>%
summarise(actual_hz_rate = sum(Terminations)/sum(Exposure),
bench = sum(exp_terms)/sum(Exposure),
no_penalty = sum(no_penalty)/sum(Exposure),
lambda_min = sum(lambda_min)/sum(Exposure),
lambda_1se = sum(lambda_1se)/sum(Exposure)
)
#plot
ggplotly(ggplot() +
geom_line(data = agg_results[agg_results$Sample=="training",],
linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col="actual")
)+
geom_line(data = agg_results[agg_results$Sample=="training",],
linetype = "dashed",
aes(x = ClaimDuration, y = bench, col="bench")
)+
geom_line(data = agg_results[agg_results$Sample=="training",],
aes(x = ClaimDuration, y = no_penalty, col="no_penalty")
)+
geom_line(data = agg_results[agg_results$Sample=="training",],
aes(x = ClaimDuration, y = lambda_min, col="lambda_min")
)+
geom_line(data = agg_results[agg_results$Sample=="training",],
aes(x = ClaimDuration, y = lambda_1se, col="lambda_1se")
)+
ggtitle("Actual vs Predicted Hazard Rates on Training Set")
)
Here we can see that no penalty is quite volatile while the lambda_min is much smoother.
# https://protect-us.mimecast.com/s/lJutCgJXKpSwnKwQhAoteS?domain=4.1.12.3 - View results on validation set
ggplotly(ggplot() +
geom_line(data = agg_results[agg_results$Sample=="validation",],
linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col="actual")
)+
geom_line(data = agg_results[agg_results$Sample=="validation",],
linetype = "dashed",
aes(x = ClaimDuration, y = bench, col="bench")
)+
geom_line(data = agg_results[agg_results$Sample=="validation",],
aes(x = ClaimDuration, y = no_penalty, col="no_penalty")
)+
geom_line(data = agg_results[agg_results$Sample=="validation",],
aes(x = ClaimDuration, y = lambda_min, col="lambda_min")
)+
geom_line(data = agg_results[agg_results$Sample=="validation",],
aes(x = ClaimDuration, y = lambda_1se, col="lambda_1se")
)+
ggtitle("Actual vs Predicted Hazard Rates on Validation Set")
)
# https://protect-us.mimecast.com/s/1OjoCjRJMYfGkDGNIEReCP?domain=4.1.12.4 - View results on testing set
ggplotly(ggplot() +
geom_line(data = agg_results[agg_results$Sample=="testing",],
linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col="actual")
)+
geom_line(data = agg_results[agg_results$Sample=="testing",],
linetype = "dashed",
aes(x = ClaimDuration, y = bench, col="bench")
)+
geom_line(data = agg_results[agg_results$Sample=="testing",],
aes(x = ClaimDuration, y = no_penalty, col="no_penalty")
)+
geom_line(data = agg_results[agg_results$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_min, col="lambda_min")
)+
geom_line(data = agg_results[agg_results$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_1se, col="lambda_1se")
)+
ggtitle("Actual vs Predicted Hazard Rates on Testing Holdout")
)
# https://protect-us.mimecast.com/s/xs-oCkRMK2fXZAXGSlP_sQ?domain=4.1.12.5 - View results on testing set for Males
agg_results_m <- predictions %>%
filter(Gender == "Male") %>%
group_by(ClaimDuration, Sample) %>%
summarise(actual_hz_rate = sum(Terminations)/sum(Exposure),
bench = sum(exp_terms)/sum(Exposure),
no_penalty = sum(no_penalty)/sum(Exposure),
lambda_min = sum(lambda_min)/sum(Exposure),
lambda_1se = sum(lambda_1se)/sum(Exposure))
ggplotly(ggplot() +
geom_line(data = agg_results_m[agg_results_m$Sample=="testing",],
linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col="actual")
)+
geom_line(data = agg_results_m[agg_results_m$Sample=="testing",],
linetype = "dashed",
aes(x = ClaimDuration, y = bench, col="bench")
)+
geom_line(data = agg_results_m[agg_results_m$Sample=="testing",],
aes(x = ClaimDuration, y = no_penalty, col="no_penalty")
)+
geom_line(data = agg_results_m[agg_results_m$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_min, col="lambda_min")
)+
geom_line(data = agg_results_m[agg_results_m$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_1se, col="lambda_1se")
)+
ggtitle("Actual vs Predicted Hazard Rates for Males on Testing Holdout")
)
# https://protect-us.mimecast.com/s/yigsClY6LRtPDmP4IQ_ZG5?domain=4.1.12.6 - View results on testing set for Females
agg_results_f <- predictions %>%
filter(Gender == "Female") %>%
group_by(ClaimDuration, Sample) %>%
summarise(actual_hz_rate = sum(Terminations)/sum(Exposure),
bench = sum(exp_terms)/sum(Exposure),
no_penalty = sum(no_penalty)/sum(Exposure),
lambda_min = sum(lambda_min)/sum(Exposure),
lambda_1se = sum(lambda_1se)/sum(Exposure))
ggplotly(ggplot() +
geom_line(data = agg_results_f[agg_results_f$Sample=="testing",],
linetype = "dotted",
aes(x = ClaimDuration, y = actual_hz_rate, col="actual")
)+
geom_line(data = agg_results_f[agg_results_f$Sample=="testing",],
linetype = "dashed",
aes(x = ClaimDuration, y = bench, col="bench")
)+
geom_line(data = agg_results_f[agg_results_f$Sample=="testing",],
aes(x = ClaimDuration, y = no_penalty, col="no_penalty")
)+
geom_line(data = agg_results_f[agg_results_f$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_min, col="lambda_min")
)+
geom_line(data = agg_results_f[agg_results_f$Sample=="testing",],
aes(x = ClaimDuration, y = lambda_1se, col="lambda_1se")
)+
ggtitle("Actual vs Predicted Hazard Rates for Females on Testing Holdout")
)
So far we have only adjusted the existing assumption in the “smoothed_assumptions_20180301.RData” file to better fit the experience by gender and duration. In the next program we will explore additional variables to vary the assumption by. Therefore, let’s tag that updated lambda.min assumption onto the expected assumption file so we can join it onto our full data set.
# 4.1.13
# create exposure offset
offset <- smoothed_assumptions %>%
mutate(LnExp_Term = log(smoothed)) %>%
select(LnExp_Term) %>%
as.matrix()
smoothed_assumptions <- smoothed_assumptions %>%
mutate(ClaimDuration_v2_ = ifelse(ClaimDuration > 160, 160, ClaimDuration))
# Convert our variables in our factor_vars list to factors
smoothed_assumptions[, factor_vars] <- lapply(smoothed_assumptions[, factor_vars], as.factor)
# create our sparse matrix of indicator variables
x_all <- sparse.model.matrix(glm_formula,
data = smoothed_assumptions,
contrasts.arg = lapply(smoothed_assumptions[, sapply(smoothed_assumptions, is.factor)],
contrasts,
contrasts=FALSE)
)
# adjust the smoothed starting assumption
lambda_min <- predict(glmnet_model2_cv,
newx = x_all,
newoffset = offset,
type = 'response',
s = "lambda.min")
# Attach to the data
smoothed_assump_adj <- data.frame(smoothed_assumptions,
smooth_adj = lambda_min[,1]) %>%
select(-ClaimDuration_v2_)
# Save as an Rdata file
save(smoothed_assump_adj, file = paste0(data_output, "\\", "smoothed_assump_adj.RData"))