Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
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1k
perc
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0
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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0
84.2
WLg_TaroneWare_test
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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
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4
train
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train
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train
H0
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train
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train
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train
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train
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train
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train
H1
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train
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train
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train
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train
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train
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train
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train
H0
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train
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
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train
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train
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train
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train
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train
H0
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train
H1
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train
H0
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train
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train
H0
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
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train
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train
H1
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
H1
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0.856251
0.802964
0.997237
-0.87657
0.878162
0.600466
0.768375
0.546614
0.273807
0.981287
0.963565
0.523731
4
train
H0
H16
500
500
0
0
0
-1.03008
1.03008
0.026018
0.026018
3.476071
5.26144
4.134894
-1.03008
1.03008
0.126508
0.000677
0.423592
1.061169
1.007619
1.061391
-1.030595
4
train
H1
H16
500
500
0
0
0
-0.596719
0.596719
-1.01831
-1.021292
8.382672
8.735393
10.152088
-1.021292
1.01831
0.006245
1.043038
0.007259
0.356208
5.829523
5.777732
-0.597018
4
train
H0
H16
1,000
1,000
0
0
0
0.693943
-0.693943
-0.870869
-0.870732
0.946782
2.431618
0.773382
0.693943
0.870869
0.487609
0.758174
0.489081
0.481503
0.647062
0.615183
0.694116
4
train
H1
H16
1,000
1,000
0
0
0
-0.308445
0.308445
-0.667495
-0.667504
2.740038
5.407198
3.626148
-0.308445
0.667495
0.144296
0.445561
0.010542
0.095129
2.1566
2.230945
-0.308522
4
train
H0
H16
20
20
10
10
15
-0.400498
0.39279
0.464961
0.464428
0.245733
3.631311
0.219534
0.464428
0.464961
0.304127
0.215694
0.271729
0.154149
0.228871
0.463716
-0.391857
4
train
H1
H16
20
20
10
10
10
-0.144958
0.123161
0.063224
0.062218
0.00395
3.348967
0.051109
0.062218
0.123161
0.340885
0.003871
0.000262
0.015098
0.000048
0.013487
-0.115984
4
train
H0
H16
30
30
10
23.333333
10
-1.527399
1.472189
1.407367
1.399623
2.431596
3.149885
2.328314
1.399623
1.472189
0.130047
1.958943
2.256882
2.188384
0.649349
0.954216
-1.513918
4
train
H1
H16
30
30
10
16.666667
16.666667
0.775201
-0.780497
-0.559578
-0.554376
0.850845
1.179094
0.73693
-0.554376
0.780497
0.426555
0.307333
0.562011
0.606589
0.00555
0.018917
0.7951
4
train
H0
H16
50
50
10
8
20
-0.153192
0.213051
-0.70372
-0.702854
4.191434
4.348073
3.962707
-0.153192
0.70372
0.137882
0.494004
0.016617
0.045343
2.432536
2.299663
-0.20737
4
train
H1
H16
50
50
10
2
8
1.018956
-1.024365
-0.892935
-0.886343
0.87204
2.712567
1.040469
1.018956
1.024365
0.301722
0.785604
0.877882
1.049607
0.230867
0.201528
1.032748
4
train
H0
H16
75
75
10
9.333333
9.333333
-1.761034
1.754319
1.611629
1.619323
3.230432
3.40878
3.122232
-1.761034
1.754319
0.078813
2.622205
3.154971
3.09049
1.039561
1.168532
-1.757618
4
train
H1
H16
75
75
10
4
13.333333
0.921461
-0.89223
-1.368483
-1.359349
2.155318
2.264494
2.28345
-1.359349
1.368483
0.319268
1.847829
1.28642
0.794907
2.145553
2.186371
0.894325
4
train
H0
H16
100
100
10
9
7
0.518215
-0.5379
-0.034986
-0.035028
1.531027
2.177316
1.201636
-0.035028
0.5379
0.53643
0.001227
0.161185
0.28907
0.307023
0.266382
0.538995
4
train
H1
H16
100
100
10
17
9
0.141357
-0.123606
0.089771
0.089502
0.728166
3.821638
0.257246
0.089502
0.123606
0.281379
0.008011
0.032408
0.015275
0.117384
0.062188
0.119789
4
train
H0
H16
150
150
10
12.666667
10
-0.089188
0.058824
0.482564
0.480164
0.900327
0.996582
0.813714
-0.089188
0.482564
0.665739
0.230558
0.040054
0.003457
0.697301
0.647093
-0.059306
4
train
H1
H16
150
150
10
6.666667
12
0.984516
-0.948215
-1.445957
-1.44386
2.366076
2.303565
2.518898
0.984516
1.445957
0.28381
2.084731
1.508104
0.899682
2.404173
2.391021
0.962416
4
train
H0
H16
200
200
10
10.5
9
0.460524
-0.47509
-0.130207
-0.12994
0.744888
1.146615
0.597476
0.460524
0.47509
0.63255
0.016884
0.152031
0.225491
0.093999
0.06979
0.478141
4
train
H1
H16
200
200
10
10.5
8
-0.027411
0.076517
-0.689816
-0.690361
2.176399
2.723569
2.509542
-0.690361
0.689816
0.285141
0.476598
0.063517
0.005853
1.70787
1.688852
-0.077216
4
train
H0
H16
300
300
10
7.666667
10.333333
-0.361986
0.393218
-0.100277
-0.100082
0.75454
0.977977
0.975715
-0.361986
0.393218
0.61394
0.010016
0.03131
0.154593
0.326346
0.309926
-0.395599
4
train
H1
H16
300
300
10
10.333333
10.333333
-0.45448
0.476654
0.063017
0.062885
0.336315
1.748385
0.782235
-0.45448
0.476654
0.626231
0.003954
0.051606
0.22714
0.146326
0.164169
-0.479587
4
train
H0
H16
500
500
10
9.4
8.6
-0.687915
0.692105
0.595185
0.594155
0.434884
0.458926
0.474637
0.594155
0.692105
0.486089
0.35302
0.42383
0.4789
0.121931
0.13121
-0.696542
4
train
H1
H16
500
500
10
8.6
9.8
0.330539
-0.283704
-1.285849
-1.287456
5.964523
7.777545
4.941452
-1.287456
1.285849
0.05084
1.657542
0.347631
0.080477
4.09922
3.931027
0.286742
4
train
H0
H16
1,000
1,000
10
10.9
11.2
0.820511
-0.846209
-0.594761
-0.594816
0.437234
8.38376
0.769528
0.820511
0.846209
0.038712
0.353806
0.459649
0.716027
0.032064
0.01994
0.853035
4
train
H1
H16
1,000
1,000
10
9
10
-0.955564
1.004658
-0.212798
-0.212748
6.294604
5.86475
6.291827
-0.955564
1.004658
0.043028
0.045262
0.307098
1.009491
2.15548
2.084099
-1.01089
4
train
H0
H16
20
20
20
10
20
0.412799
-0.381642
-0.784152
-0.769244
1.118444
1.16242
1.079215
-0.769244
0.784152
0.582977
0.591736
0.285634
0.144328
0.799714
0.692311
0.412778
4
train
H1
H16
20
20
20
20
35
-0.147828
0.256995
-0.346483
-0.342405
2.232885
2.557059
2.339237
-0.342405
0.346483
0.310485
0.117241
0.000049
0.065733
0.983194
0.950659
-0.254754
4
train
H0
H16
30
30
20
23.333333
16.666667
-1.137864
1.106542
1.24154
1.254924
1.603442
2.427245
1.584959
1.254924
1.24154
0.264045
1.574833
1.354268
1.223949
1.543885
1.502954
-1.116882
4
train
H1
H16
30
30
20
30
33.333333
-0.994755
1.163359
0.291303
0.28948
5.074237
6.043491
4.727311
-0.994755
1.163359
0.094076
0.083799
0.773424
1.353348
1.083405
0.813262
-1.156027
4
train
H0
H16
50
50
20
30
26
0.401134
-0.424865
-0.286492
-0.283695
0.121098
3.115043
0.227793
0.401134
0.424865
0.374226
0.080483
0.090054
0.1803
0.000007
0.01147
0.446179
4
train
H1
H16
50
50
20
18
14
0.834445
-0.856928
-0.445633
-0.442324
1.38796
1.53929
1.259649
0.834445
0.856928
0.384974
0.19565
0.553761
0.73473
0.019906
0.01066
0.868768
4
train
H0
H16
75
75
20
20
20
2.386662
-2.536848
-1.051442
-1.057928
14.136992
14.639297
14.588015
2.386662
2.536848
0.00068
1.119211
3.989795
6.538996
0.520714
0.436552
2.54523
4
train
H1
H16
75
75
20
17.333333
22.666667
-0.687966
0.807354
-0.26498
-0.264527
4.961634
7.429985
5.742356
-0.687966
0.807354
0.056632
0.069975
0.10557
0.652636
2.227889
2.269325
-0.808208
4
train
H0
H16
100
100
20
17
14
0.315336
-0.362646
0.10781
0.108164
1.715444
7.771918
1.04347
0.315336
0.362646
0.050968
0.0117
0.083887
0.131351
0.39909
0.311591
0.361019
4
train
H1
H16
100
100
20
13
26
0.659228
-0.542386
-1.547044
-1.544565
5.717368
5.982496
6.154641
-1.544565
1.547044
0.046083
2.385682
1.008019
0.294283
5.242115
5.217295
0.554635
4
train
H0
H16
150
150
20
21.333333
26
1.503779
-1.5905
-1.08588
-1.082886
2.704992
3.108692
2.851819
1.503779
1.5905
0.105562
1.172642
2.033144
2.532343
0.06098
0.062198
1.618466
4
train
H1
H16
150
150
20
16
20.666667
1.53538
-1.453954
-2.034693
-2.052665
4.958717
5.008376
4.921526
-2.052665
2.034693
0.08537
4.213435
2.966364
2.116605
4.659755
4.572031
1.479692
4
train
H0
H16
200
200
20
20
18
1.258568
-1.253484
-1.219948
-1.224264
1.7161
2.162576
1.618742
-1.224264
1.253484
0.202902
1.498821
1.763728
1.573941
0.729363
0.739156
1.273327
4
train
H1
H16
200
200
20
14.5
23
2.665173
-2.529024
-3.429606
-3.488985
13.89846
13.711989
14.007801
-3.488985
3.429606
0.000908
12.173017
8.942857
6.423111
13.355233
13.307827
2.57072
4
train
H0
H16
300
300
20
23
22.333333
0.038244
-0.144667
0.575089
0.574806
2.246869
2.939164
2.424469
0.038244
0.575089
0.297532
0.330402
0.020997
0.02092
1.60666
1.675556
0.145977
4
train
H1
H16
300
300
20
22
21.333333
-0.590322
0.637183
0.236082
0.236399
1.413108
3.730178
0.971849
-0.590322
0.637183
0.292113
0.055884
0.341929
0.405817
0.091147
0.079732
-0.647792
4
train
H0
H16
500
500
20
15.8
18.2
-0.383169
0.409687
0.32237
0.321925
0.120358
0.308894
0.150178
-0.383169
0.409687
0.678045
0.103636
0.128587
0.167814
0.033801
0.029376
-0.415133
4
train
H1
H16
500
500
20
19.6
22.8
-1.908516
2.131802
0.397584
0.398136
14.267473
15.553489
15.533243
-1.908516
2.131802
0.000424
0.158512
2.104874
4.555506
3.326439
3.262414
-2.160865
4
train
H0
H16
1,000
1,000
20
19.3
20.2
0.262116
-0.243045
-0.4318
-0.432638
0.421311
2.588708
0.295595
0.262116
0.4318
0.459473
0.187176
0.074003
0.059061
0.276812
0.26348
0.24619
4
train
H1
H16
1,000
1,000
20
21.6
22.1
-0.079562
0.223149
-0.858555
-0.859934
5.552113
5.554632
5.730137
-0.079562
0.858555
0.056979
0.739486
0.039482
0.049795
3.606669
3.565195
-0.227251