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
7,643
train
H0
H04
20
20
10
5
5
1.041477
-1.041477
-0.669816
-0.659489
1.317143
1.550114
1.437379
1.041477
1.041477
0.293278
0.434925
0.799972
1.086096
0.000543
0.001669
1.050958
7,643
train
H1
H04
20
20
10
30
0
-1.074265
1.028276
1.240924
1.214317
1.474969
2.9506
1.486647
-1.074265
1.240924
0.290985
1.474566
1.382309
1.052267
1.371711
1.741165
-1.055963
7,643
train
H0
H04
30
30
10
13.333333
16.666667
0.809382
-0.797976
-0.899034
-0.896822
0.819282
1.845152
0.805276
0.809382
0.899034
0.415511
0.804289
0.682228
0.636694
0.495518
0.424507
0.814233
7,643
train
H1
H04
30
30
10
10
10
1.034687
-1.014803
-1.279147
-1.297966
2.027559
4.78832
1.862556
-1.297966
1.279147
0.18797
1.684716
1.226409
1.029042
1.565656
1.468414
1.001087
7,643
train
H0
H04
50
50
10
4
8
-0.207934
0.226595
-0.592053
-0.591995
2.905828
2.615389
3.07274
-0.591995
0.592053
0.215161
0.350458
0.015596
0.051279
1.711778
1.60747
-0.222481
7,643
train
H1
H04
50
50
10
2
14
0.424077
-0.413421
-0.718314
-0.710878
0.868498
1.306446
0.719897
-0.710878
0.718314
0.668015
0.505348
0.242966
0.17046
0.646785
0.575471
0.428874
7,643
train
H0
H04
75
75
10
10.666667
9.333333
0.424666
-0.449046
-0.047957
-0.047714
0.480209
1.549306
0.76421
0.424666
0.449046
0.654117
0.002277
0.060775
0.201616
0.183605
0.210366
0.448051
7,643
train
H1
H04
75
75
10
12
8
-0.516379
0.496371
0.748296
0.745714
0.734849
0.806451
0.67436
0.745714
0.748296
0.618952
0.556089
0.320369
0.245943
0.727237
0.7326
-0.497336
7,643
train
H0
H04
100
100
10
12
14
-0.74195
0.730257
0.869417
0.868272
0.807477
1.659278
0.763051
0.868272
0.869417
0.458009
0.753897
0.561551
0.533101
0.706215
0.62997
-0.74213
7,643
train
H1
H04
100
100
10
4
7
-0.080414
0.083478
-0.254883
-0.253543
0.272619
0.836124
0.494415
-0.253543
0.254883
0.780979
0.064284
0.014381
0.006966
0.273144
0.282187
-0.08292
7,643
train
H0
H04
150
150
10
14
10.666667
1.151686
-1.138392
-1.255573
-1.260464
1.591458
1.59484
1.590097
1.151686
1.255573
0.248919
1.58877
1.502006
1.297827
1.062713
1.069788
1.152979
7,643
train
H1
H04
150
150
10
8
12
1.115742
-1.133742
-0.684119
-0.682542
1.606294
2.106997
1.735457
1.115742
1.133742
0.253269
0.465863
0.96456
1.285509
0.000101
0.000044
1.142445
7,643
train
H0
H04
200
200
10
9
10
-1.297776
1.320714
0.920152
0.919017
1.430381
4.730637
1.961282
-1.297776
1.320714
0.183046
0.844592
1.249949
1.745586
0.065486
0.046004
-1.331436
7,643
train
H1
H04
200
200
10
8
10.5
-3.156782
3.173723
2.311456
2.327985
11.214701
10.811589
11.314548
-3.156782
3.173723
0.001379
5.419515
8.585042
10.151293
0.402582
0.472991
-3.198972
7,643
train
H0
H04
300
300
10
8.333333
13.666667
2.381446
-2.348416
-2.525135
-2.532366
6.585602
7.272945
6.47737
-2.532366
2.525135
0.01796
6.41288
6.428497
5.524589
4.211244
4.41074
2.36644
7,643
train
H1
H04
300
300
10
8.333333
10.666667
-0.85414
0.856425
0.706844
0.70601
0.611644
0.99094
0.744732
0.70601
0.856425
0.388355
0.49845
0.587726
0.733382
0.139593
0.133873
-0.862604
7,643
train
H0
H04
500
500
10
11.2
11.2
-0.086874
0.062695
0.401729
0.401677
0.657524
1.37785
0.534343
0.401677
0.401729
0.710735
0.161345
0.028607
0.003929
0.458183
0.420166
-0.063722
7,643
train
H1
H04
500
500
10
9
6.8
-0.563079
0.52906
1.102248
1.10146
1.866052
2.32152
2.023815
1.10146
1.102248
0.363525
1.213214
0.606025
0.279904
1.999502
2.057636
-0.531546
7,643
train
H0
H04
1,000
1,000
10
8.8
8.3
-0.789526
0.781981
0.770614
0.770274
0.76535
2.006869
0.646101
-0.789526
0.781981
0.431451
0.593323
0.724463
0.611424
0.30565
0.335374
-0.786711
7,643
train
H1
H04
1,000
1,000
10
8.4
9.4
-2.264669
2.288459
1.549441
1.550157
6.445422
6.654661
6.131748
-2.264669
2.288459
0.02116
2.402986
4.371806
5.240746
0.104043
0.125614
-2.305113
7,643
train
H0
H04
20
20
20
20
15
-0.726956
0.668566
0.856695
0.841347
0.749661
1.605837
0.723724
-0.726956
0.856695
0.490974
0.707865
0.520234
0.446082
0.807184
0.672166
-0.68876
7,643
train
H1
H04
20
20
20
10
30
-1.2179
1.265917
0.901059
0.926683
1.73809
2.727035
1.915831
-1.2179
1.265917
0.188347
0.858741
1.2783
1.6341
0.048763
0.033581
-1.315484
7,643
train
H0
H04
30
30
20
23.333333
16.666667
-0.553055
0.412733
1.179553
1.20618
4.213797
4.293204
4.122215
1.20618
1.179553
0.127313
1.454869
0.562458
0.176605
4.001622
3.840514
-0.436874
7,643
train
H1
H04
30
30
20
10
16.666667
-1.516002
1.550537
1.21014
1.216395
2.180302
5.062283
2.512924
-1.516002
1.550537
0.114311
1.479616
2.003578
2.433938
0.241661
0.191161
-1.579109
7,643
train
H0
H04
50
50
20
14
24
-1.312158
1.402188
0.361156
0.360719
6.425726
7.167869
5.90865
-1.312158
1.402188
0.052114
0.130118
1.138887
1.977509
1.122701
0.880752
-1.415732
7,643
train
H1
H04
50
50
20
24
24
-0.283263
0.221955
0.496836
0.494437
0.443303
0.699783
0.473616
0.494437
0.496836
0.789143
0.244468
0.120918
0.049081
0.561877
0.621363
-0.230719
7,643
train
H0
H04
75
75
20
18.666667
16
1.75686
-1.719687
-1.541527
-1.56627
3.367356
4.21524
3.109116
-1.56627
1.719687
0.079679
2.453202
3.099181
2.967015
0.824309
0.943613
1.752551
7,643
train
H1
H04
75
75
20
18.666667
14.666667
-1.600426
1.573321
1.637721
1.654633
2.743812
4.354812
2.777328
-1.600426
1.637721
0.113539
2.737811
2.556693
2.48113
1.820262
1.733816
-1.582483
7,643
train
H0
H04
100
100
20
19
32
0.937209
-0.897071
-1.003112
-0.99852
0.997207
1.064211
0.998336
0.937209
1.003112
0.35528
0.997043
0.903334
0.803255
0.640421
0.632377
0.924397
7,643
train
H1
H04
100
100
20
16
27
-0.180529
0.247806
-0.241056
-0.240352
0.859015
0.935557
1.084161
-0.180529
0.247806
0.581537
0.057769
0.00017
0.061356
0.49803
0.462522
-0.251363
7,643
train
H0
H04
150
150
20
17.333333
16.666667
0.26599
-0.233756
-0.423335
-0.421444
0.323081
0.535674
0.254641
-0.421444
0.423335
0.812485
0.177615
0.070991
0.05459
0.216887
0.19225
0.237222
7,643
train
H1
H04
150
150
20
20
20.666667
-2.253083
2.324141
1.565261
1.572947
7.003012
7.075254
6.803303
-2.253083
2.324141
0.018484
2.474162
4.488066
5.430186
0.022348
0.039962
-2.355771
7,643
train
H0
H04
200
200
20
18.5
22.5
-0.455913
0.449759
0.539444
0.540128
0.295144
2.197834
0.303842
-0.455913
0.539444
0.532375
0.291738
0.324001
0.202329
0.298145
0.337115
-0.454173
7,643
train
H1
H04
200
200
20
22
22.5
-0.591143
0.587811
0.534252
0.53288
0.376498
0.405274
0.349674
0.53288
0.587811
0.549946
0.283961
0.373209
0.345285
0.123793
0.129189
-0.59784
7,643
train
H0
H04
300
300
20
20
15.333333
-0.069533
0.061584
0.203121
0.203226
0.25571
3.114045
0.119076
0.203226
0.203121
0.374374
0.041301
0.003475
0.003791
0.117788
0.094477
-0.060463
7,643
train
H1
H04
300
300
20
23.333333
19
-2.057575
2.11556
1.540195
1.540971
4.74836
5.200272
4.999027
-2.057575
2.11556
0.031526
2.37459
3.702078
4.483844
0.170382
0.190425
-2.150364
7,643
train
H0
H04
500
500
20
18.8
19.6
-0.66943
0.635793
0.755998
0.756226
0.57857
1.075486
0.574597
0.756226
0.755998
0.518781
0.571877
0.56589
0.404153
0.46823
0.480114
-0.645225
7,643
train
H1
H04
500
500
20
22.8
18.6
-2.262639
2.246718
2.0831
2.083471
5.234417
5.320755
5.122415
-2.262639
2.246718
0.022607
4.340852
5.156017
5.049548
1.693735
1.700577
-2.280006
7,643
train
H0
H04
1,000
1,000
20
18.2
20
-0.439622
0.450991
0.194992
0.194945
0.507323
1.151526
0.436892
-0.439622
0.450991
0.646906
0.038004
0.132256
0.203382
0.023531
0.014495
-0.458065
7,643
train
H1
H04
1,000
1,000
20
18.5
20.2
-1.005045
1.202247
-0.53336
-0.533577
12.795608
11.802339
13.478691
-1.005045
1.202247
0.001183
0.284704
0.284561
1.446046
5.71013
5.5848
-1.217048
7,643
train
H0
H04
20
20
30
20
40
1.740907
-1.761775
-1.679257
-1.693528
3.107627
3.522916
3.069886
-1.693528
1.761775
0.070485
2.868036
3.195089
3.130931
1.26979
1.38536
1.80878
7,643
train
H1
H04
20
20
30
20
40
1.109883
-1.224315
-0.87524
-0.861518
1.290204
3.521387
1.503194
-0.861518
1.224315
0.202263
0.742213
1.067149
1.49808
0.039513
0.03194
1.275131
7,643
train
H0
H04
30
30
30
30
30
0.284657
-0.391598
-0.042014
-0.041729
0.491301
0.466436
0.493695
-0.041729
0.391598
0.689568
0.001741
0.065516
0.152819
0.224371
0.179262
0.399442
7,643
train
H1
H04
30
30
30
20
33.333333
-0.205224
0.332079
-0.313867
-0.30884
2.294539
2.595536
2.129634
-0.30884
0.332079
0.344791
0.095382
0.015948
0.109961
0.998448
0.76088
-0.31685
7,643
train
H0
H04
50
50
30
32
32
-0.374847
0.377594
0.402026
0.39872
0.161341
0.838189
0.159051
0.39872
0.402026
0.686868
0.158977
0.144505
0.142236
0.16295
0.121696
-0.403109
7,643
train
H1
H04
50
50
30
36
42
0.59434
-0.565743
-0.541184
-0.53573
0.371317
0.402574
0.361767
0.59434
0.565743
0.559431
0.287007
0.327759
0.319143
0.069989
0.040259
0.583686
7,643
train
H0
H04
75
75
30
28
28
0.621785
-0.60955
-0.352778
-0.35159
0.926191
1.918833
0.752643
-0.35159
0.60955
0.537181
0.123616
0.313852
0.371192
0.037219
0.011564
0.617081
7,643
train
H1
H04
75
75
30
25.333333
32
-0.219902
0.349528
-0.307364
-0.306656
2.621192
4.220237
2.268078
-0.306656
0.349528
0.238644
0.094038
0.022752
0.121995
1.051713
0.96317
-0.345923
7,643
train
H0
H04
100
100
30
34
24
-1.548037
1.570461
1.392174
1.387856
2.501515
3.003196
2.42479
-1.548037
1.570461
0.108065
1.926144
2.442783
2.468037
0.655888
0.77311
-1.606952
7,643
train
H1
H04
100
100
30
22
29
0.854334
-0.753888
-1.150371
-1.152604
1.829276
2.268715
1.730232
-1.152604
1.150371
0.421003
1.328497
0.797251
0.567497
1.58995
1.569088
0.766127
7,643
train
H0
H04
150
150
30
30
32.666667
-1.068446
1.220462
0.533322
0.53211
2.581634
2.664909
2.757007
-1.068446
1.220462
0.21198
0.283141
0.933632
1.492061
0.1706
0.14865
-1.24814
7,643
train
H1
H04
150
150
30
32
28.666667
-0.918936
0.928498
0.89411
0.894164
0.891464
1.256303
0.851891
-0.918936
0.928498
0.344271
0.799529
0.960075
0.861895
0.44177
0.441233
-0.945759
7,643
train
H0
H04
200
200
30
30.5
25
0.101376
-0.159024
0.071349
0.071276
0.149604
0.554602
0.195923
0.071276
0.159024
0.87085
0.00508
0.002521
0.025274
0.107599
0.14474
0.162579
7,643
train
H1
H04
200
200
30
25.5
30.5
-1.855872
1.941608
1.239901
1.249824
6.308421
9.795957
5.318217
-1.855872
1.941608
0.020383
1.56206
3.315236
3.785056
0.005868
0.002183
-1.979455
7,643
train
H0
H04
300
300
30
31.666667
27
-1.055135
1.053125
1.082588
1.08127
1.170351
4.393402
1.186293
-1.055135
1.082588
0.221998
1.169145
1.053848
1.109074
0.756469
0.716165
-1.078224
7,643
train
H1
H04
300
300
30
31.666667
30.333333
-1.633018
1.775906
0.812373
0.811455
7.373249
8.015972
6.921275
-1.633018
1.775906
0.03141
0.658458
2.194661
3.155102
0.516235
0.407528
-1.812858
7,643
train
H0
H04
500
500
30
30.6
31.2
0.133158
-0.088034
-0.421495
-0.421433
1.171767
6.078757
0.722546
-0.421433
0.421495
0.107841
0.177605
0.008417
0.007747
0.57074
0.52676
0.091146
7,643
train
H1
H04
500
500
30
30.6
27.6
-1.106757
0.923903
1.721193
1.725618
5.270597
6.003156
4.972451
1.725618
1.721193
0.083223
2.977759
1.4582
0.853672
4.978442
4.918856
-0.944725
7,643
train
H0
H04
1,000
1,000
30
31.1
30
-1.067244
1.004437
1.158489
1.158482
1.347435
1.363319
1.343737
1.158482
1.158489
0.303238
1.34208
1.12692
1.008939
1.031552
1.022706
-1.029515
7,643
train
H1
H04
1,000
1,000
30
29.1
30.2
-2.524378
2.854072
1.02801
1.029086
20.074024
19.926941
19.708443
-2.524378
2.854072
0.000053
1.059018
5.161128
8.157417
2.477798
2.381865
-2.913347
7,643
train
H0
H04
20
20
40
45
50
1.487478
-2.079708
-0.639863
-0.66152
16.671786
16.837756
16.57393
1.487478
2.079708
0.000252
0.437609
2.504351
4.510118
0.911339
0.666813
2.078986
7,643
train
H1
H04
20
20
40
55
45
-0.808056
0.853349
0.747578
0.741322
0.686395
0.933814
0.670913
-0.808056
0.853349
0.369574
0.549558
0.721131
0.723706
0.311836
0.373712
-0.897272
7,643
train
H0
H04
30
30
40
43.333333
20
-1.291295
1.195493
1.705953
1.705477
4.090655
7.87063
3.790904
1.705477
1.705953
0.048762
2.908653
1.856363
1.425713
4.072134
3.726609
-1.269911
7,643
train
H1
H04
30
30
40
40
46.666667
-0.207022
0.32015
-0.056024
-0.055635
1.052743
2.809436
0.926057
-0.055635
0.32015
0.421949
0.003095
0.052662
0.102562
0.259463
0.150324
-0.306613
7,643
train
H0
H04
50
50
40
36
38
0.661045
-0.604639
-0.795708
-0.795718
0.715856
1.381014
0.752045
0.661045
0.795708
0.521611
0.633167
0.501484
0.36607
0.655847
0.577765
0.640865
7,643
train
H1
H04
50
50
40
30
42
0.307455
-0.458722
0.211347
0.215272
3.212631
3.335255
3.114145
0.215272
0.458722
0.210752
0.046342
0.041874
0.211106
1.34765
1.235497
0.47204
7,643
train
H0
H04
75
75
40
32
37.333333
-0.812076
0.999989
0.205053
0.205101
3.588188
4.030222
3.368716
0.205101
0.999989
0.185564
0.042066
0.536626
1.001069
0.726882
0.603775
-1.027294
7,643
train
H1
H04
75
75
40
49.333333
42.666667
-0.742421
0.95838
0.361071
0.363767
2.401057
5.062336
2.642921
0.363767
0.95838
0.167289
0.132326
0.452207
0.918627
0.335015
0.382418
-0.999768
7,643
train
H0
H04
100
100
40
45
36
-0.713365
0.635936
0.872963
0.871358
0.939366
0.932369
0.940368
0.871358
0.872963
0.507281
0.759265
0.558707
0.403861
1.108004
1.110873
-0.663077
7,643
train
H1
H04
100
100
40
38
35
-1.711531
1.780084
1.356674
1.355626
3.636919
3.621058
3.60152
-1.711531
1.780084
0.065438
1.837723
2.774442
3.179412
0.177088
0.246413
-1.842254
7,643
train
H0
H04
150
150
40
44
34
-1.749314
2.02996
1.016689
1.029023
8.075884
8.117064
8.012137
-1.749314
2.02996
0.018205
1.058888
2.797487
4.126467
0.44817
0.418423
-2.110348
7,643
train
H1
H04
150
150
40
44
45.333333
1.091725
-1.313701
-0.6519
-0.652556
3.273354
3.378197
3.231057
1.091725
1.313701
0.176233
0.425829
1.234415
1.727271
0.116219
0.110846
1.352446
7,643
train
H0
H04
200
200
40
35
37
0.502361
-0.511068
-0.387234
-0.386064
0.39472
1.403527
0.327881
-0.386064
0.511068
0.599991
0.149045
0.260371
0.260988
0.005924
0.027428
0.524413
7,643
train
H1
H04
200
200
40
41.5
36.5
-1.964565
2.011467
1.818785
1.821138
3.782174
5.223148
3.898669
-1.964565
2.011467
0.038249
3.316544
3.787122
4.052089
1.257722
1.158047
-2.072181
7,643
train
H0
H04
300
300
40
39.333333
44.333333
1.986574
-1.952977
-1.906243
-1.907619
3.879208
4.560157
3.950464
-1.907619
1.952977
0.043756
3.639011
3.688878
3.817618
1.682054
1.773209
2.016425
7,643
train
H1
H04
300
300
40
43.666667
43
-1.994264
1.96027
1.913268
1.927165
4.073425
5.324893
4.000067
-1.994264
1.96027
0.04254
3.713964
4.136968
3.855369
1.771237
1.83623
-2.028203
7,643
train
H0
H04
500
500
40
35.8
41.6
1.690819
-1.575004
-1.896254
-1.897613
3.720101
3.712646
3.719487
-1.897613
1.896254
0.104548
3.600935
3.004665
2.480355
3.067793
3.065109
1.623194
7,643
train
H1
H04
500
500
40
39.6
38.4
-2.259953
2.167949
2.31683
2.335749
5.466935
5.46299
5.475501
2.335749
2.31683
0.02527
5.455724
5.057935
4.706854
3.583808
3.656354
-2.237244
7,643
train
H0
H04
1,000
1,000
40
38.7
42.9
1.349502
-1.339595
-1.358919
-1.358373
1.846291
5.800777
1.880517
-1.358373
1.358919
0.121716
1.845178
1.540704
1.794681
1.059522
1.023331
1.382982
7,643
train
H1
H04
1,000
1,000
40
39.1
40.9
-1.786468
1.712705
1.778825
1.7863
3.264699
3.25779
3.271291
1.7863
1.778825
0.078934
3.190867
3.129175
2.936359
1.844218
1.858009
-1.756906
7,643
train
H0
H04
20
20
50
55
50
-0.703215
0.817475
0.572028
0.56861
0.808593
1.093977
0.787172
-0.703215
0.817475
0.389338
0.323318
0.547654
0.665956
0.061038
0.081218
-0.860819
7,643
train
H1
H04
20
20
50
55
70
1.381834
-1.319489
-1.363525
-1.363143
1.911348
2.807294
1.915046
-1.363143
1.363525
0.173346
1.858158
1.790779
1.744271
0.796813
0.784045
1.361532
7,643
train
H0
H04
30
30
50
50
53.333333
0.224168
-0.078445
-0.318177
-0.315827
0.281554
0.598838
0.26832
-0.315827
0.318177
0.87445
0.099746
0.028198
0.006131
0.114737
0.119889
0.093436
7,643
train
H1
H04
30
30
50
56.666667
56.666667
-1.391559
1.459725
1.287319
1.330083
2.151973
3.748405
2.113711
1.330083
1.459725
0.121133
1.76912
2.150529
2.165882
0.706901
0.837706
-1.550037
7,643
train
H0
H04
50
50
50
46
48
0.454102
-0.225006
-0.689666
-0.693237
0.914618
5.384272
1.086309
0.454102
0.689666
0.145727
0.480577
0.248907
0.050588
0.865402
0.999106
0.229304
7,643
train
H1
H04
50
50
50
48
52
-0.104363
0.189565
-0.011569
-0.011501
0.269128
0.798933
0.225828
-0.011501
0.189565
0.848655
0.000132
0.020043
0.035882
0.023962
0.011314
-0.190835
7,643
train
H0
H04
75
75
50
52
44
-1.157047
1.426915
0.599271
0.597875
4.974249
4.851696
5.037191
0.597875
1.426915
0.080573
0.357454
1.271282
2.037767
0.539236
0.408128
-1.488023
7,643
train
H1
H04
75
75
50
48
53.333333
0.741442
-0.956092
-0.417415
-0.416021
2.32092
2.553388
2.265738
-0.416021
0.956092
0.322108
0.173074
0.594028
0.912595
0.216567
0.191248
0.985891
7,643
train
H0
H04
100
100
50
38
48
1.776606
-1.754004
-1.581066
-1.586683
3.368891
3.438435
3.334354
1.776606
1.754004
0.071056
2.517562
3.022087
3.083075
0.64249
0.68825
1.805117
7,643
train
H1
H04
100
100
50
49
56
0.345676
-0.566811
-0.226641
-0.22763
0.250525
2.87507
0.324667
-0.22763
0.566811
0.411291
0.051816
0.144221
0.321347
0.019331
0.049247
0.603323
7,643
train
H0
H04
150
150
50
44.666667
56.666667
2.194422
-2.383475
-1.761605
-1.760431
6.625765
6.513408
6.640333
2.194422
2.383475
0.012284
3.099119
4.797788
5.684691
0.202881
0.244768
2.503892
7,643
train
H1
H04
150
150
50
53.333333
50.666667
-0.778428
0.761884
0.830764
0.831951
0.700056
0.979457
0.706895
0.831951
0.830764
0.42738
0.692143
0.7229
0.580067
0.668122
0.66692
-0.793683
7,643
train
H0
H04
200
200
50
50.5
52
-0.074392
0.079334
0.26092
0.260562
0.691104
5.06293
0.477395
0.260562
0.26092
0.167247
0.067892
0.003855
0.006291
0.379097
0.290913
-0.085502
7,643
train
H1
H04
200
200
50
48.5
52
0.214932
-0.145372
-0.301743
-0.301359
0.162041
0.180444
0.171502
-0.301359
0.301743
0.879845
0.090817
0.051109
0.021125
0.120627
0.109575
0.151165
7,643
train
H0
H04
300
300
50
46
54
1.322575
-1.027157
-1.734655
-1.73459
5.313777
7.313476
5.095447
-1.73459
1.734655
0.06255
3.008801
1.586772
1.054645
4.8977
4.797578
1.065087
7,643
train
H1
H04
300
300
50
51.666667
46.666667
-1.899116
2.023638
1.646874
1.647271
4.191655
4.532185
4.244295
1.647271
2.023638
0.036116
2.713503
3.626676
4.097697
0.490941
0.472239
-2.095616
7,643
train
H0
H04
500
500
50
47.4
49.2
0.364798
-0.254164
-0.473868
-0.473555
0.330104
0.491125
0.349482
0.364798
0.473868
0.791954
0.224254
0.137323
0.064583
0.310063
0.300878
0.263774
7,643
train
H1
H04
500
500
50
53.6
52.4
-2.439778
2.491785
2.194333
2.210762
6.526998
6.856376
6.434119
2.210762
2.491785
0.009257
4.88747
6.091928
6.220709
1.217473
1.305287
-2.602419
7,643
train
H0
H04
1,000
1,000
50
48.7
48
-0.307437
0.138779
0.465865
0.465787
0.337391
6.459392
0.490965
0.465787
0.465865
0.091278
0.216957
0.143677
0.019257
0.473693
0.520113
-0.143784
7,643
train
H1
H04
1,000
1,000
50
50.3
51.3
-2.412202
2.621045
1.971577
1.980377
7.803785
8.014123
7.661703
-2.412202
2.621045
0.006626
3.921894
6.151528
6.880795
0.244346
0.283558
-2.715103