iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
int64
20
1k
perc
int64
0
50
real_perc1
float64
0
95
real_perc2
float64
0
95
Peto_test
float64
-7.97
10.1
Gehan_test
float64
-10.22
8.5
logrank_test
float64
-8.93
6.76
CoxMantel_test
float64
-9.17
7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
-8.08
10.1
MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
float64
-8.89
10.7
2
train
H0
H07
20
20
0
0
0
0.459852
-0.459852
0.051869
0.051249
1.583256
2.77343
1.247425
0.051249
0.459852
0.427892
0.002626
0.091179
0.209877
0.453356
0.3271
0.46571
2
train
H1
H07
20
20
0
0
0
-0.486902
0.486902
0.205287
0.200658
0.506504
0.617837
0.47414
0.200658
0.486902
0.621939
0.040264
0.150164
0.235251
0.005072
0.000147
-0.493104
2
train
H0
H07
30
30
0
0
0
-0.236551
0.236551
-0.097382
-0.095697
0.577039
0.721177
0.459334
-0.236551
0.236551
0.794798
0.009158
0.02075
0.055625
0.121333
0.081885
-0.238547
2
train
H1
H07
30
30
0
0
0
0.443533
-0.443533
0.051962
0.051029
0.837792
0.84134
1.035142
0.443533
0.443533
0.595966
0.002604
0.051767
0.196292
0.371032
0.340387
0.447276
2
train
H0
H07
50
50
0
0
0
0.330903
-0.330903
-0.543809
-0.538735
0.291612
2.331392
0.37592
-0.538735
0.543809
0.506534
0.290236
0.244506
0.109132
0.304259
0.418384
0.33257
2
train
H1
H07
50
50
0
0
0
2.426625
-2.426625
-2.289585
-2.341219
6.157231
6.153527
6.118535
-2.341219
2.426625
0.014734
5.481305
6.133673
5.966604
2.709344
2.854175
2.438849
2
train
H0
H07
75
75
0
0
0
-0.851352
0.851352
0.937651
0.937541
0.903484
1.995897
0.882438
-0.851352
0.937651
0.396165
0.878984
0.851102
0.723734
0.662362
0.816141
-0.84849
2
train
H1
H07
75
75
0
0
0
0.76866
-0.76866
-0.434559
-0.434425
1.35707
4.625716
0.841552
0.76866
0.76866
0.201347
0.188725
0.5409
0.590208
0.002497
0.001932
0.766076
2
train
H0
H07
100
100
0
0
0
2.247918
-2.247918
-2.413635
-2.465816
6.30204
9.437106
6.107467
-2.465816
2.413635
0.02401
6.080247
6.065991
5.079617
4.295925
4.799982
2.253559
2
train
H1
H07
100
100
0
0
0
1.065318
-1.065318
-1.233421
-1.231343
1.535779
1.609578
1.516464
-1.231343
1.233421
0.285525
1.516206
1.471689
1.135212
1.107546
1.123839
1.067991
2
train
H0
H07
150
150
0
0
0
-1.629287
1.629287
1.464345
1.46317
2.378582
2.940769
2.665974
-1.629287
1.629287
0.102678
2.140868
2.379777
2.658337
0.828765
0.804651
-1.632009
2
train
H1
H07
150
150
0
0
0
-1.37105
1.37105
1.03174
1.027376
1.823957
2.529893
1.990784
-1.37105
1.37105
0.169646
1.055501
1.61885
1.881426
0.162177
0.150036
-1.373341
2
train
H0
H07
200
200
0
0
0
-1.162486
1.162486
1.394075
1.395273
1.94838
3.1172
1.958616
-1.162486
1.394075
0.244448
1.946786
1.73264
1.351224
1.661588
1.826838
-1.163942
2
train
H1
H07
200
200
0
0
0
2.605214
-2.605214
-1.657444
-1.658261
8.432983
8.309774
8.326621
2.605214
2.605214
0.009095
2.749829
5.497042
6.814934
0.106817
0.141453
2.608477
2
train
H0
H07
300
300
0
0
0
-1.105937
1.105937
0.947957
0.946287
1.174258
1.166132
1.223892
-1.105937
1.105937
0.268355
0.895459
1.129885
1.223073
0.300555
0.29562
-1.106859
2
train
H1
H07
300
300
0
0
0
1.932563
-1.932563
-1.618319
-1.61763
3.64871
4.507537
3.756079
-1.61763
1.932563
0.053092
2.616725
3.554551
3.741102
0.789576
0.773216
1.934175
2
train
H0
H07
500
500
0
0
0
1.133438
-1.133438
-0.742287
-0.741866
1.476681
1.746926
1.522779
1.133438
1.133438
0.256792
0.550365
0.992107
1.28483
0.021112
0.032979
1.134005
2
train
H1
H07
500
500
0
0
0
1.512492
-1.512492
-0.907881
-0.907431
3.005523
3.102496
2.955874
1.512492
1.512492
0.130217
0.82343
1.760718
2.288623
0.00372
0.009591
1.513249
2
train
H0
H07
1,000
1,000
0
0
0
0.085804
-0.085804
-0.46089
-0.46064
0.270086
2.960712
0.608181
-0.46064
0.46089
0.397722
0.212189
0.104486
0.007361
0.49695
0.531095
0.085825
2
train
H1
H07
1,000
1,000
0
0
0
2.693451
-2.693451
-1.693252
-1.692586
7.362454
6.977319
8.921691
2.693451
2.693451
0.007057
2.864846
5.276579
7.26201
0.071713
0.081024
2.694125
2
train
H0
H07
20
20
10
0
10
0.102456
-0.0948
0.116421
0.11513
0.027404
4.65712
0.224359
0.102456
0.116421
0.198696
0.013255
0.010007
0.008992
0.126047
0.287188
0.115197
2
train
H1
H07
20
20
10
10
15
1.278037
-1.307394
-1.155673
-1.1455
1.590092
2.161447
1.650921
-1.1455
1.307394
0.184185
1.31217
1.601489
1.719703
0.364089
0.34437
1.32798
2
train
H0
H07
30
30
10
16.666667
6.666667
-0.549312
0.534079
0.205865
0.207035
1.38215
7.154736
0.800742
-0.549312
0.534079
0.067126
0.042863
0.262844
0.283917
0.08449
0.019253
-0.547817
2
train
H1
H07
30
30
10
13.333333
13.333333
-1.225045
1.272564
0.760772
0.75565
2.39764
2.423055
2.305746
-1.225045
1.272564
0.197292
0.571006
1.252657
1.620765
0.006094
0.001306
-1.289306
2
train
H0
H07
50
50
10
6
14
-1.060787
1.060761
0.558862
0.558307
2.161473
2.345441
1.916382
-1.060787
1.060761
0.283313
0.311707
0.86446
1.127904
0.035978
0.017743
-1.072908
2
train
H1
H07
50
50
10
12
22
1.545546
-1.500924
-1.777833
-1.787111
3.319864
4.113426
3.25437
-1.787111
1.777833
0.126532
3.193767
2.569182
2.252565
2.480987
2.322869
1.527923
2
train
H0
H07
75
75
10
8
13.333333
0.844129
-0.809774
-1.234184
-1.233155
1.969774
2.033097
1.905124
0.844129
1.234184
0.385751
1.520671
0.951215
0.654583
1.72502
1.663392
0.809377
2
train
H1
H07
75
75
10
9.333333
12
-0.046547
0.082546
-0.407697
-0.406085
1.085519
1.108934
1.055556
-0.406085
0.407697
0.589914
0.164905
0.008283
0.006801
0.60994
0.553041
-0.082239
2
train
H0
H07
100
100
10
5
9
1.579132
-1.573111
-1.53146
-1.530686
2.803792
4.227337
2.567956
-1.530686
1.573111
0.113755
2.343
2.763734
2.475964
1.126948
1.34007
1.581539
2
train
H1
H07
100
100
10
11
6
0.553504
-0.57506
-0.054324
-0.053926
1.090293
0.911889
1.230723
0.553504
0.57506
0.540445
0.002908
0.130905
0.33036
0.31523
0.273373
0.578697
2
train
H0
H07
150
150
10
9.333333
3.333333
-0.804687
0.778001
1.793675
1.811658
7.972271
14.285605
6.655283
1.811658
1.793675
0.002541
3.282105
1.263263
0.604836
6.405313
6.139782
-0.789212
2
train
H1
H07
150
150
10
8
8
1.296349
-1.29116
-1.341311
-1.345629
1.812028
2.779618
1.856344
1.296349
1.341311
0.192443
1.810716
1.581857
1.668915
1.043971
1.031864
1.303385
2
train
H0
H07
200
200
10
10.5
11
0.316053
-0.292125
-0.586028
-0.584437
0.598727
0.701465
0.549642
-0.584437
0.586028
0.759708
0.341567
0.156299
0.085279
0.497576
0.454404
0.29636
2
train
H1
H07
200
200
10
7
9
0.411338
-0.409825
-0.302517
-0.302097
0.104634
0.718928
0.189833
0.411338
0.409825
0.679761
0.091263
0.097683
0.167855
0.006364
0.006907
0.41279
2
train
H0
H07
300
300
10
8.666667
8
-0.384235
0.413358
-0.424346
-0.424854
3.302018
3.91491
3.008617
-0.384235
0.424346
0.222171
0.180501
0.013375
0.170838
1.466894
1.373533
-0.414316
2
train
H1
H07
300
300
10
11.666667
11.666667
1.113722
-1.084252
-1.464545
-1.473794
2.536471
2.785319
2.413182
1.113722
1.464545
0.275097
2.172068
1.499046
1.175494
2.206676
2.196984
1.0914
2
train
H0
H07
500
500
10
12.6
11.8
1.156065
-1.231678
-0.010509
-0.010503
7.000323
6.881243
6.97251
1.156065
1.231678
0.030615
0.00011
0.637186
1.517488
1.724795
1.647271
1.238425
2
train
H1
H07
500
500
10
8.4
8.2
0.404143
-0.394985
-0.706384
-0.706274
1.176588
4.98717
0.737613
0.404143
0.706384
0.172739
0.498824
0.182686
0.155978
0.701892
0.624169
0.397695
2
train
H0
H07
1,000
1,000
10
9.8
10.4
-0.589418
0.586569
0.535386
0.535116
0.333618
0.318394
0.347799
0.535116
0.586569
0.555106
0.286349
0.319424
0.34402
0.121453
0.123205
-0.590127
2
train
H1
H07
1,000
1,000
10
10.8
10.3
1.209734
-1.200954
-1.294421
-1.294901
1.682621
1.902319
1.690246
1.209734
1.294421
0.226731
1.676769
1.433838
1.442587
1.090118
1.135721
1.208823
2
train
H0
H07
20
20
20
35
20
-1.449232
1.382768
1.589244
1.613718
2.64789
2.677794
2.653444
-1.449232
1.589244
0.146439
2.604087
2.30102
1.911904
2.773488
2.843235
-1.452226
2
train
H1
H07
20
20
20
20
10
0.269285
-0.225696
-0.651609
-0.660824
1.455604
2.284245
1.324976
-0.660824
0.651609
0.515546
0.436688
0.159901
0.050784
0.954071
0.833361
0.220919
2
train
H0
H07
30
30
20
23.333333
10
-2.048366
2.007905
2.065662
2.099396
4.416299
8.672963
4.502942
-2.048366
2.065662
0.03397
4.407464
4.044109
4.086871
2.704341
2.489156
-2.053492
2
train
H1
H07
30
30
20
36.666667
30
-1.224115
1.372522
0.825354
0.815449
2.617258
2.756857
2.581041
-1.224115
1.372522
0.163241
0.664957
1.449417
1.884455
0.014689
0.017135
-1.394253
2
train
H0
H07
50
50
20
14
16
0.772615
-0.780565
-0.462916
-0.458054
0.978408
1.019403
0.953918
-0.458054
0.780565
0.429965
0.209814
0.452073
0.608055
0.012965
0.001238
0.789251
2
train
H1
H07
50
50
20
26
28
1.453473
-1.483313
-1.11932
-1.124963
2.865644
4.818609
2.530524
-1.124963
1.483313
0.126978
1.265541
2.09175
2.207689
0.133486
0.201174
1.526127
2
train
H0
H07
75
75
20
20
21.333333
1.120163
-1.131577
-0.857473
-0.856467
1.900851
5.44632
1.450881
-0.856467
1.131577
0.141885
0.733536
1.312745
1.280187
0.075161
0.159648
1.13709
2
train
H1
H07
75
75
20
10.666667
21.333333
1.192088
-1.15459
-1.449627
-1.449022
2.133617
4.228105
2.212461
-1.449022
1.449627
0.237863
2.099664
1.880439
1.331621
1.877394
2.141337
1.166182
2
train
H0
H07
100
100
20
22
18
0.33922
-0.367024
-0.086299
-0.086119
0.546331
1.140479
0.427826
0.33922
0.367024
0.709809
0.007417
0.089085
0.134492
0.104379
0.077467
0.372113
2
train
H1
H07
100
100
20
25
19
0.866573
-0.914279
-0.407709
-0.407214
1.890681
1.876698
1.82854
0.866573
0.914279
0.356895
0.165824
0.564329
0.836132
0.122638
0.098088
0.921298
2
train
H0
H07
150
150
20
15.333333
23.333333
1.18362
-1.215783
-0.824437
-0.823789
1.731957
1.942138
1.847109
1.18362
1.215783
0.217893
0.678628
1.141231
1.477616
0.017339
0.018719
1.232151
2
train
H1
H07
150
150
20
24
18
1.716221
-1.814263
-1.016239
-1.018699
4.495302
4.40019
4.812226
1.716221
1.814263
0.064589
1.037747
2.353329
3.299232
0.021707
0.012989
1.848095
2
train
H0
H07
200
200
20
24
19
0.862631
-1.012725
0.100578
0.100586
5.508439
5.238449
5.535425
0.862631
1.012725
0.062805
0.010118
0.375988
1.027773
1.665374
1.528295
1.031006
2
train
H1
H07
200
200
20
19.5
23
2.057832
-2.043636
-1.912662
-1.91557
4.11591
4.4039
4.249402
2.057832
2.043636
0.037886
3.66941
4.030041
4.185749
1.528265
1.481069
2.076087
2
train
H0
H07
300
300
20
18.666667
19
-0.085604
0.107992
-0.068607
-0.068507
0.147446
0.156736
0.136533
-0.068507
0.107992
0.913453
0.004693
0.00178
0.011656
0.045408
0.05591
-0.108684
2
train
H1
H07
300
300
20
19.666667
16
1.064446
-1.148823
-0.266502
-0.265979
3.55112
3.633445
4.074693
1.064446
1.148823
0.130374
0.070745
0.61081
1.320478
0.637387
0.575115
1.161511
2
train
H0
H07
500
500
20
24.8
20.2
-1.590626
1.527432
1.87297
1.8733
3.905092
7.489601
3.631999
1.8733
1.87297
0.057826
3.509252
2.49555
2.33308
3.253895
3.122799
-1.550398
2
train
H1
H07
500
500
20
21.4
17.8
1.568441
-1.673325
-0.796631
-0.797134
4.980146
5.595052
4.963347
1.568441
1.673325
0.083603
0.635423
1.957983
2.804284
0.127719
0.130902
1.695484
2
train
H0
H07
1,000
1,000
20
20.6
20.7
0.728143
-0.867385
0.24555
0.245612
6.105848
6.391622
5.704816
0.728143
0.867385
0.057705
0.060325
0.247494
0.752479
2.054912
1.953205
0.878763
2
train
H1
H07
1,000
1,000
20
18.1
20.5
2.079673
-2.045425
-2.246841
-2.25214
5.211841
16.942539
5.073761
2.079673
2.246841
0.000726
5.072136
4.113334
4.185139
3.61317
3.518663
2.069734
2
train
H0
H07
20
20
30
20
20
0.689
-0.665706
-0.932788
-0.942836
1.145805
2.733016
1.236987
-0.942836
0.932788
0.434646
0.88894
0.688515
0.443931
0.967694
1.027391
0.698159
2
train
H1
H07
20
20
30
25
25
0.156121
-0.161032
-0.287732
-0.280796
0.084894
2.811521
0.153832
0.156121
0.287732
0.421607
0.078847
0.08745
0.025816
0.067185
0.169574
0.169381
2
train
H0
H07
30
30
30
40
30
0.23721
-0.369877
0.259667
0.257344
2.454021
2.526739
2.393975
0.257344
0.369877
0.302103
0.066226
0.016932
0.136364
1.168836
1.095328
0.359006
2
train
H1
H07
30
30
30
40
30
0.30364
-0.561164
0.429256
0.421765
4.956279
4.938969
4.874753
0.30364
0.561164
0.08739
0.177886
0.047539
0.314114
2.308354
1.99461
0.563533
2
train
H0
H07
50
50
30
28
32
0.641359
-0.518294
-0.892641
-0.901383
1.606506
11.615705
1.240086
-0.901383
0.892641
0.008823
0.812492
0.333121
0.268736
1.247287
1.064927
0.543629
2
train
H1
H07
50
50
30
24
22
1.673642
-1.655573
-1.543859
-1.573272
2.843067
2.853647
2.831245
-1.573272
1.655573
0.090607
2.475184
2.757997
2.766248
0.940189
1.009421
1.692203
2
train
H0
H07
75
75
30
36
33.333333
0.784655
-0.798752
-0.565106
-0.56162
0.886894
0.86977
0.875625
0.784655
0.798752
0.418473
0.315417
0.530518
0.639476
0.000515
0.001478
0.809074
2
train
H1
H07
75
75
30
34.666667
22.666667
-0.442698
0.353948
0.831724
0.829698
1.406439
4.854828
1.692184
-0.442698
0.831724
0.182741
0.688399
0.390782
0.125024
1.701706
1.778628
-0.359582
2
train
H0
H07
100
100
30
32
28
-0.603735
0.657474
0.337883
0.337537
0.774988
0.830764
0.782616
0.337537
0.657474
0.497404
0.113931
0.300886
0.4317
0.010495
0.008439
-0.678579
2
train
H1
H07
100
100
30
26
31
1.827432
-1.809192
-1.945796
-1.966034
3.893244
6.457067
3.866149
1.827432
1.945796
0.063828
3.865291
3.49035
3.283962
2.642624
2.497178
1.85338
2
train
H0
H07
150
150
30
32
34.666667
-0.255195
0.378825
-0.075325
-0.075112
0.67062
3.973915
0.991522
-0.255195
0.378825
0.264295
0.005642
0.017315
0.14354
0.310657
0.408666
-0.386041
2
train
H1
H07
150
150
30
30
28.666667
0.30724
-0.322358
-0.140953
-0.14059
0.292773
0.403325
0.265717
0.30724
0.322358
0.7429
0.019765
0.068177
0.103794
0.040967
0.034965
0.328015
2
train
H0
H07
200
200
30
30.5
27
-0.79445
0.814048
0.541862
0.541199
0.902536
0.850136
0.970955
0.541199
0.814048
0.407154
0.292896
0.485716
0.662258
0.004339
0.007136
-0.828913
2
train
H1
H07
200
200
30
26.5
26.5
0.107071
-0.057956
-0.35561
-0.355481
0.409614
1.22533
0.509473
-0.355481
0.35561
0.746936
0.126367
0.050081
0.003357
0.348404
0.357756
0.058656
2
train
H0
H07
300
300
30
32.333333
24.666667
-0.212149
0.094956
0.603002
0.602361
1.256241
1.740964
1.355916
0.602361
0.603002
0.507653
0.362839
0.09681
0.009014
1.163436
1.193794
-0.097642
2
train
H1
H07
300
300
30
28
29.333333
1.160728
-1.124215
-1.107117
-1.106697
1.350821
1.383895
1.35209
-1.106697
1.124215
0.250174
1.224778
1.280792
1.264151
0.520578
0.54699
1.149927
2
train
H0
H07
500
500
30
31.6
29.2
-1.610041
1.488443
1.84448
1.847944
3.506127
3.634578
3.528581
1.847944
1.84448
0.128239
3.414896
2.794858
2.21615
3.122198
3.114544
-1.521082
2
train
H1
H07
500
500
30
28
29.8
2.643206
-2.507374
-2.830524
-2.860599
8.18787
8.30067
8.192879
-2.860599
2.830524
0.010738
8.183029
7.370725
6.295657
6.067228
6.109185
2.551099
2
train
H0
H07
1,000
1,000
30
28.9
30
-0.203138
0.229647
0.031597
0.031581
0.421167
2.383296
0.236148
0.031581
0.229647
0.496752
0.000997
0.056304
0.052731
0.045882
0.038088
-0.234001
2
train
H1
H07
1,000
1,000
30
31.9
30.8
2.334723
-2.511197
-1.687477
-1.69083
6.64028
11.546544
7.458846
2.334723
2.511197
0.009109
2.858907
4.755518
6.314032
0.102222
0.087834
2.570433
2
train
H0
H07
20
20
40
35
40
-0.407708
0.424197
0.457459
0.45321
0.212467
0.218027
0.212085
0.45321
0.457459
0.654293
0.2054
0.198515
0.180313
0.333343
0.309544
-0.447807
2
train
H1
H07
20
20
40
55
55
0.217805
-0.330891
-0.029919
-0.029574
0.90502
1.06525
0.924129
-0.029574
0.330891
0.629982
0.000875
0.041472
0.108932
0.452739
0.425556
0.334979
2
train
H0
H07
30
30
40
36.666667
30
-0.796448
0.822423
0.654109
0.650792
0.720279
1.171692
0.761606
-0.796448
0.822423
0.401059
0.42353
0.55908
0.675958
0.129013
0.130992
-0.839732
2
train
H1
H07
30
30
40
56.666667
36.666667
-0.383388
0.15963
0.727023
0.726644
2.387137
3.997533
2.243373
-0.383388
0.727023
0.261731
0.528011
0.110574
0.025572
1.813624
1.575171
-0.182867
2
train
H0
H07
50
50
40
54
40
-1.719694
1.756752
1.560004
1.555125
3.113073
3.918778
3.173724
1.555125
1.756752
0.067217
2.418414
2.80708
3.092229
0.796027
0.748085
-1.830218
2
train
H1
H07
50
50
40
46
48
0.546977
-0.498866
-0.575294
-0.574267
0.334418
0.641723
0.33161
-0.574267
0.575294
0.600873
0.329782
0.26392
0.248383
0.133772
0.131695
0.523145
2
train
H0
H07
75
75
40
36
38.666667
-0.661084
0.759818
0.363244
0.361483
1.040377
0.997383
1.070075
-0.661084
0.759818
0.435558
0.13067
0.371243
0.577351
0.030188
0.022138
-0.779715
2
train
H1
H07
75
75
40
38.666667
34.666667
0.432057
-0.473264
-0.266896
-0.266405
0.397918
0.443922
0.414841
0.432057
0.473264
0.627842
0.070971
0.160095
0.223798
0.027049
0.02559
0.484766
2
train
H0
H07
100
100
40
32
43
-0.170275
0.450385
-0.498482
-0.498071
4.728247
5.320309
4.877322
-0.498071
0.498482
0.087278
0.248075
0.003208
0.202966
2.5277
2.5264
-0.456656
2
train
H1
H07
100
100
40
40
47
1.197968
-0.875304
-1.777681
-1.797506
6.754339
7.570421
6.507674
-1.797506
1.777681
0.038626
3.231028
1.474347
0.766328
5.86214
5.668742
0.910402
2
train
H0
H07
150
150
40
37.333333
41.333333
-0.051367
0.22877
-0.402401
-0.403805
2.835827
7.427229
2.371143
-0.403805
0.402401
0.059458
0.163059
0.004684
0.052316
1.307857
1.187091
-0.230681
2
train
H1
H07
150
150
40
38.666667
37.333333
0.677157
-0.527083
-0.973725
-0.98048
1.808276
2.374277
1.697686
-0.98048
0.973725
0.42791
0.961341
0.466956
0.277943
1.49659
1.448356
0.541972
2
train
H0
H07
200
200
40
33.5
42
1.561879
-1.489002
-1.653428
-1.651136
2.729243
2.847286
2.727039
-1.651136
1.653428
0.1254
2.726251
2.46101
2.216345
1.84294
1.847701
1.532495
2
train
H1
H07
200
200
40
37.5
38
1.335026
-1.183563
-1.655072
-1.665533
3.298683
3.245474
3.317652
-1.665533
1.655072
0.190362
2.774001
1.966742
1.40426
3.014772
2.879071
1.223725
2
train
H0
H07
300
300
40
42.333333
38.666667
-0.111453
0.064697
0.251715
0.251464
0.313831
1.225428
0.245445
0.251464
0.251715
0.746912
0.063234
0.00837
0.004184
0.242097
0.20199
-0.066692
2
train
H1
H07
300
300
40
41
39
0.187914
-0.131193
-0.293932
-0.294169
0.21966
0.645129
0.181167
0.187914
0.293932
0.886028
0.086535
0.025348
0.017208
0.136531
0.129604
0.135708
2
train
H0
H07
500
500
40
40.2
39
1.562977
-1.696784
-1.173931
-1.1767
3.442701
3.797102
3.560851
1.562977
1.696784
0.081984
1.384622
2.281232
2.882126
0.037104
0.038415
1.739289
2
train
H1
H07
500
500
40
40.8
35.6
0.028891
-0.187939
0.358974
0.35894
1.373862
2.011753
1.557184
0.028891
0.358974
0.459052
0.128838
0.00451
0.035325
0.940909
0.919772
0.191719
2
train
H0
H07
1,000
1,000
40
38.6
38.9
-0.068867
0.156344
-0.129085
-0.129051
0.373522
0.693013
0.415331
-0.068867
0.156344
0.812479
0.016654
0.000853
0.02444
0.183212
0.190754
-0.160315
2
train
H1
H07
1,000
1,000
40
42.7
41.4
1.238078
-1.370193
-0.845528
-0.845969
2.830262
2.861284
2.85731
1.238078
1.370193
0.15753
0.715663
1.438227
1.878283
0.007834
0.007652
1.413428