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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143
BN_SCE_test
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MAX_Value_test
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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,643
train
H1
H16
300
300
20
26
20.333333
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0.768027
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1.267545
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7,643
train
H0
H16
500
500
20
20.6
23
0.538535
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0.727745
0.791912
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0.0386
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7,643
train
H1
H16
500
500
20
17.2
19.6
0.272619
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0.069322
0.069322
1.122394
4.309806
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0.069322
0.29229
0.229896
0.004805
0.058696
0.085405
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7,643
train
H0
H16
1,000
1,000
20
21.5
20.5
-1.54628
1.568272
1.129443
1.129093
3.138325
3.380333
2.890592
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0.11128
1.274851
2.183891
2.459741
0.084326
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7,643
train
H1
H16
1,000
1,000
20
19
20.4
0.266471
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11.268302
16.167806
13.560526
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1.733004
0.001048
3.017542
0.651687
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10.199148
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7,643
train
H0
H16
20
20
30
45
35
-0.484066
0.226698
1.027893
1.026413
3.664993
3.63057
3.661798
1.026413
1.027893
0.160269
1.053524
0.325095
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3.56411
3.427074
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7,643
train
H1
H16
20
20
30
5
40
1.42319
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2.053339
2.402072
2.018078
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1.397006
0.148944
1.863899
2.080055
1.94295
0.776442
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1.443273
7,643
train
H0
H16
30
30
30
36.666667
23.333333
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1.194836
1.485595
1.481198
2.369623
5.33596
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1.481198
1.485595
0.148786
2.193948
1.580674
1.430875
2.244696
1.974677
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7,643
train
H1
H16
30
30
30
36.666667
23.333333
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2.394302
2.159345
2.199894
5.760657
5.788528
5.772702
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2.394302
0.013577
4.839533
5.652559
5.857114
1.441962
1.580311
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7,643
train
H0
H16
50
50
30
30
22
-0.541259
0.513709
0.736031
0.726697
0.672974
0.892772
0.639908
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0.736031
0.592683
0.528088
0.358322
0.263371
0.797786
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7,643
train
H1
H16
50
50
30
32
22
-0.583321
0.588671
0.579796
0.581234
0.348436
0.348686
0.348328
0.581234
0.588671
0.546957
0.337833
0.361805
0.345525
0.294657
0.303035
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7,643
train
H0
H16
75
75
30
13.333333
38.666667
1.846244
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4.069141
4.27351
3.948862
1.846244
1.87068
0.056497
2.112282
3.113394
3.495849
0.283202
0.347897
1.907179
7,643
train
H1
H16
75
75
30
33.333333
40
-0.648994
0.722354
0.439095
0.439917
0.641095
1.542032
0.736096
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0.722354
0.462222
0.193527
0.363146
0.522991
0.00068
0.000513
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7,643
train
H0
H16
100
100
30
29
30
0.858266
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1.544121
5.398165
1.360732
0.858266
1.079607
0.144858
1.168563
0.730555
0.664759
1.240366
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7,643
train
H1
H16
100
100
30
36
36
0.666095
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1.664586
1.716847
1.625566
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0.972468
0.443622
0.964845
0.50769
0.288324
1.439392
1.430803
0.55231
7,643
train
H0
H16
150
150
30
34.666667
25.333333
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1.362683
1.594568
1.601394
2.812557
10.313109
2.636795
1.601394
1.594568
0.016084
2.564462
1.920624
1.855483
2.318672
2.208207
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7,643
train
H1
H16
150
150
30
35.333333
24.666667
-1.085136
0.985703
1.302895
1.297422
1.741812
3.204326
1.824136
1.297422
1.302895
0.311617
1.683303
1.372082
0.97056
1.808519
2.004656
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7,643
train
H0
H16
200
200
30
28.5
28.5
-0.516317
0.536634
0.398942
0.397655
0.216923
1.672589
0.318566
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0.536634
0.583889
0.158129
0.175639
0.287853
0.019317
0.007362
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7,643
train
H1
H16
200
200
30
30.5
31
-0.094073
0.085422
0.065528
0.065371
0.011546
0.00843
0.013005
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0.085422
0.930927
0.004273
0.005643
0.007291
0.002751
0.003292
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7,643
train
H0
H16
300
300
30
32.333333
33
-0.191132
0.270464
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0.580041
1.033072
0.666656
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0.270464
0.716535
0.009927
0.01075
0.073126
0.245315
0.268457
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7,643
train
H1
H16
300
300
30
31
27.333333
-2.728765
2.770435
2.198936
2.208356
8.332523
8.05778
8.445866
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2.770435
0.004659
4.876834
6.730871
7.693575
0.643144
0.687803
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7,643
train
H0
H16
500
500
30
27.8
30.8
0.393085
-0.336381
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0.448134
0.652459
0.487828
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0.575952
0.729668
0.330934
0.213212
0.113107
0.448394
0.44906
0.345567
7,643
train
H1
H16
500
500
30
28.4
30.4
0.963013
-0.863312
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2.460544
2.722351
2.360478
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1.337048
0.307205
1.787135
1.074087
0.745392
2.269122
2.175808
0.885548
7,643
train
H0
H16
1,000
1,000
30
28.3
30.2
0.503555
-0.449977
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0.592735
0.695391
0.575458
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0.677357
0.644528
0.458556
0.290593
0.202442
0.548065
0.510987
0.461377
7,643
train
H1
H16
1,000
1,000
30
30.3
29.9
-0.900963
1.060265
0.184768
0.184813
3.614575
4.920246
4.265688
-0.900963
1.060265
0.1185
0.034156
0.434897
1.124352
0.882093
0.869484
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7,643
train
H0
H16
20
20
40
45
45
-1.322314
1.134049
1.47393
1.58411
3.054461
3.401441
3.022158
-1.322314
1.47393
0.220672
2.509406
1.885243
1.312066
3.747613
3.751121
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7,643
train
H1
H16
20
20
40
40
45
0.136356
0.048575
-0.464801
-0.461114
1.109903
3.55094
1.304722
0.136356
0.464801
0.314215
0.212626
0.057531
0.002365
0.725975
0.874503
0.011736
7,643
train
H0
H16
30
30
40
53.333333
43.333333
0.188528
-0.366542
0.095451
0.094741
1.22349
2.81334
1.094014
0.094741
0.366542
0.421309
0.008976
0.050881
0.127169
0.509947
0.410974
0.363262
7,643
train
H1
H16
30
30
40
30
33.333333
1.502285
-1.600359
-1.1433
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3.118509
3.202268
3.060209
1.502285
1.600359
0.103192
1.310346
2.131771
2.567659
0.058355
0.088858
1.629573
7,643
train
H0
H16
50
50
40
36
40
0.595423
-0.536735
-0.714465
-0.711384
0.521597
4.820329
0.583931
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0.714465
0.185436
0.506067
0.514868
0.2873
0.502709
0.662217
0.556958
7,643
train
H1
H16
50
50
40
40
46
0.199377
-0.158464
-0.362536
-0.362457
0.533402
2.216791
0.459411
0.199377
0.362536
0.528649
0.131375
0.042945
0.025042
0.277392
0.239975
0.15739
7,643
train
H0
H16
75
75
40
38.666667
36
0.068353
-0.058538
0.061864
0.061702
0.17328
0.266307
0.144374
0.061702
0.061864
0.930357
0.003807
0.001372
0.003424
0.098952
0.098925
0.061876
7,643
train
H1
H16
75
75
40
49.333333
42.666667
-1.824288
1.939795
1.515715
1.514588
3.859423
4.554928
4.035812
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1.939795
0.044424
2.293976
3.131934
3.782011
0.269552
0.292457
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7,643
train
H0
H16
100
100
40
41
37
-2.202577
2.326169
1.804068
1.809079
5.377221
7.136846
5.717302
-2.202577
2.326169
0.015959
3.272768
4.533921
5.45985
0.346645
0.290313
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7,643
train
H1
H16
100
100
40
41
40
-0.791469
1.002781
0.231704
0.230699
3.711769
3.815357
3.597376
0.230699
1.002781
0.165516
0.053222
0.565252
1.00724
0.753689
0.594107
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7,643
train
H0
H16
150
150
40
41.333333
36.666667
-1.359533
1.199628
1.681421
1.694159
3.631577
3.659598
3.606556
-1.359533
1.681421
0.164758
2.870174
1.974852
1.439821
3.802535
3.810693
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7,643
train
H1
H16
150
150
40
48.666667
49.333333
0.805731
-0.878093
-0.698274
-0.702534
0.670714
3.900342
0.746096
0.805731
0.878093
0.272428
0.493554
0.571208
0.770413
0.068444
0.059814
0.91516
7,643
train
H0
H16
200
200
40
42.5
41
0.19352
-0.213201
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-0.147916
0.065067
0.226236
0.053793
0.19352
0.213201
0.82519
0.021879
0.042287
0.045477
0.001226
0.000056
0.220874
7,643
train
H1
H16
200
200
40
38
34
0.266692
-0.277382
-0.240958
-0.240579
0.063112
0.320618
0.072605
-0.240579
0.277382
0.774528
0.057878
0.05804
0.076993
0.005825
0.002497
0.286458
7,643
train
H0
H16
300
300
40
39.666667
39.666667
0.965866
-1.068815
-0.659338
-0.659621
1.617189
1.695225
1.624607
0.965866
1.068815
0.26965
0.4351
0.892065
1.142263
0.003556
0.003045
1.10387
7,643
train
H1
H16
300
300
40
39.333333
39.333333
-0.04905
-0.033789
0.267699
0.267847
0.722463
2.676078
0.511944
0.267847
0.267699
0.444308
0.071742
0
0.001142
0.363416
0.327701
0.03488
7,643
train
H0
H16
500
500
40
43.6
43.4
0.578507
-0.569158
-0.632889
-0.633509
0.459595
4.314846
0.410463
-0.633509
0.632889
0.229412
0.401334
0.272557
0.323891
0.322327
0.302786
0.587692
7,643
train
H1
H16
500
500
40
37.8
34.8
-0.078736
-0.130618
0.560411
0.560501
2.198893
2.523792
2.232497
-0.078736
0.560411
0.327506
0.314161
0.017128
0.017062
1.469143
1.484362
0.133293
7,643
train
H0
H16
1,000
1,000
40
40.2
38.9
-1.362272
1.371682
1.139217
1.13972
2.317733
3.463519
2.077359
-1.362272
1.371682
0.156235
1.298962
1.971255
1.881632
0.215701
0.218808
-1.417849
7,643
train
H1
H16
1,000
1,000
40
41.9
41.2
-1.296594
1.557079
0.570656
0.570571
6.828084
6.647772
6.847817
-1.296594
1.557079
0.032585
0.325551
1.463447
2.424953
0.854341
0.838583
-1.605171