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
109
BN_MCE_test
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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
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float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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3
train
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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
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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
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
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
H0
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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
H0
H09
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train
H1
H09
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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
H0
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train
H1
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train
H0
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train
H1
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train
H0
H09
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30
25
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train
H1
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30
30
35
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train
H0
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train
H1
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train
H0
H09
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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
H0
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train
H1
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train
H0
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train
H1
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train
H0
H09
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train
H1
H09
300
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30.333333
28
-0.238179
0.162857
0.536714
0.535054
0.73797
1.102337
0.677029
-0.238179
0.536714
0.712828
0.286283
0.099298
0.026884
0.673372
0.590388
-0.171988
3
train
H0
H09
500
500
30
30
31.6
-0.338262
0.367931
0.211525
0.211445
0.114823
1.886244
0.178367
-0.338262
0.367931
0.596349
0.044709
0.09541
0.13563
0.000021
0.001793
-0.385914
3
train
H1
H09
500
500
30
30.8
28
0.361191
-0.382187
-0.767398
-0.770627
1.502491
1.835694
1.313572
-0.770627
0.767398
0.518515
0.593866
0.190966
0.145904
1.23956
1.244352
0.402094
3
train
H0
H09
1,000
1,000
30
29.7
29.6
1.217606
-1.074139
-1.69783
-1.701696
3.447381
4.492975
3.596503
-1.701696
1.69783
0.165588
2.89577
1.785705
1.153268
3.500421
3.554077
1.126441
3
train
H1
H09
1,000
1,000
30
29.6
26.5
0.854279
-0.848407
-1.462683
-1.470388
4.859046
11.774625
3.630552
0.854279
1.462683
0.008196
2.162041
0.845815
0.719788
3.613969
3.494138
0.891426
3
train
H0
H09
20
20
40
25
30
-0.386604
0.351924
0.348817
0.34356
0.182733
0.864699
0.148742
-0.386604
0.351924
0.711687
0.118033
0.17659
0.123772
0.079902
0.181563
-0.369591
3
train
H1
H09
20
20
40
40
45
0.201661
-0.075977
-0.557983
-0.561821
1.77571
1.834056
1.751529
-0.561821
0.557983
0.416543
0.315643
0.063725
0.001436
1.056559
1.048921
0.053802
3
train
H0
H09
30
30
40
40
23.333333
-0.765361
0.711128
0.864073
0.846553
0.735092
1.519588
0.718458
-0.765361
0.864073
0.439236
0.716652
0.586092
0.515359
0.745729
0.675101
-0.773484
3
train
H1
H09
30
30
40
36.666667
33.333333
-0.078623
-0.117209
0.537443
0.526734
1.12264
1.360804
1.323265
-0.078623
0.537443
0.516008
0.277449
0.04108
0.011478
1.239041
1.302171
0.098955
3
train
H0
H09
50
50
40
34
28
-0.821636
0.7713
1.099391
1.085742
1.391108
1.482044
1.370222
1.085742
1.099391
0.407656
1.178836
0.831423
0.593471
1.520809
1.448652
-0.828025
3
train
H1
H09
50
50
40
24
38
1.483806
-1.568519
-1.427344
-1.426628
2.053359
8.613203
2.221124
1.483806
1.568519
0.034901
2.035268
2.025263
2.459643
0.868769
0.698024
1.633559
3
train
H0
H09
75
75
40
37.333333
44
-0.855402
0.802461
1.135133
1.149087
2.094657
4.959506
1.816708
1.149087
1.135133
0.174786
1.3204
0.733282
0.651148
1.918755
1.736701
-0.877921
3
train
H1
H09
75
75
40
52
28
-1.889456
1.758156
1.93276
1.920324
3.790385
4.523371
3.741917
-1.889456
1.93276
0.061243
3.687644
3.71579
3.102494
2.281231
2.364644
-1.871735
3
train
H0
H09
100
100
40
43
33
-1.200454
1.173851
1.041532
1.033839
1.488062
1.528486
1.473564
-1.200454
1.173851
0.207895
1.068823
1.392739
1.375192
0.304759
0.330718
-1.259374
3
train
H1
H09
100
100
40
35
45
1.923174
-1.951308
-1.767106
-1.76476
3.694254
3.670083
3.730034
1.923174
1.951308
0.037418
3.114376
3.636271
3.809129
1.057162
1.11576
2.081171
3
train
H0
H09
150
150
40
34.666667
33.333333
-0.423182
0.566493
0.079577
0.079566
0.580996
1.615874
0.822902
0.079566
0.566493
0.546611
0.006331
0.136364
0.323031
0.15731
0.180979
-0.602846
3
train
H1
H09
150
150
40
36
42.666667
1.054008
-0.851809
-1.630833
-1.633942
4.632571
5.142147
4.36275
1.054008
1.630833
0.112886
2.669768
1.256568
0.724842
4.135347
3.966283
0.916018
3
train
H0
H09
200
200
40
39.5
38
0.286407
-0.518448
0.239655
0.238434
1.637329
2.343298
1.991205
0.238434
0.518448
0.369501
0.056851
0.032957
0.268482
1.010405
1.00746
0.556389
3
train
H1
H09
200
200
40
41.5
44.5
1.248345
-1.435655
-0.924097
-0.922241
1.672266
5.760587
2.084879
1.248345
1.435655
0.123173
0.850528
1.431335
2.057679
0.019172
0.00357
1.541593
3
train
H0
H09
300
300
40
37.333333
40.333333
1.61329
-1.574228
-1.711511
-1.716319
2.958337
4.218576
2.946169
1.61329
1.711511
0.09603
2.94575
2.60955
2.476878
1.927059
1.866166
1.664412
3
train
H1
H09
300
300
40
35.666667
42.333333
1.088609
-0.8803
-1.633042
-1.632079
4.087814
4.375426
4.09047
-1.632079
1.633042
0.12935
2.663683
1.377719
0.773948
3.941406
4.127843
0.943722
3
train
H0
H09
500
500
40
43.6
41.4
0.518493
-0.963927
0.440329
0.440425
6.491703
9.474987
7.28881
0.440425
0.963927
0.023599
0.193975
0.15983
0.928954
3.330576
3.516935
1.026877
3
train
H1
H09
500
500
40
46.6
41
0.641946
-0.693222
-0.677527
-0.680471
0.469463
1.454393
0.46318
0.641946
0.693222
0.45356
0.463041
0.422315
0.478342
0.272658
0.258481
0.749494
3
train
H0
H09
1,000
1,000
40
41
38.6
0.202525
-0.332899
0.230065
0.230193
1.359112
1.36177
1.292169
0.230193
0.332899
0.524094
0.052989
0.021932
0.110521
0.689052
0.67063
0.35693
3
train
H1
H09
1,000
1,000
40
40.5
37.7
-0.554077
0.547033
0.118144
0.118183
1.9364
2.990343
1.459508
-0.554077
0.547033
0.393117
0.013967
0.286197
0.299897
0.330213
0.305416
-0.587655
3
train
H0
H09
20
20
50
40
65
0.454321
-0.456143
-0.37737
-0.381954
0.304904
1.846279
0.252642
-0.381954
0.456143
0.604916
0.145889
0.204753
0.191617
0.000697
0.004129
0.467759
3
train
H1
H09
20
20
50
40
40
0.894749
-1.038737
-0.576411
-0.560319
1.28609
1.290901
1.256265
0.894749
1.038737
0.253349
0.313958
0.749977
1.068915
0.038433
0.00847
1.142253
3
train
H0
H09
30
30
50
53.333333
50
-1.153761
1.106863
1.021437
1.013945
1.524569
2.795651
1.407467
-1.153761
1.106863
0.205554
1.028085
1.462045
1.25659
0.23312
0.481578
-1.265885
3
train
H1
H09
30
30
50
46.666667
60
0.208326
-0.147328
-0.45754
-0.447465
0.865625
3.15676
0.70046
-0.447465
0.45754
0.368082
0.200225
0.022667
0.01278
0.503391
0.276953
0.154414
3
train
H0
H09
50
50
50
48
54
0.078913
-0.167983
0.057612
0.057176
0.173788
0.688227
0.2106
0.078913
0.167983
0.856571
0.003269
0.003664
0.026538
0.187808
0.213475
0.180741
3
train
H1
H09
50
50
50
50
44
0.2258
-0.354111
-0.152025
-0.15026
0.050856
1.292438
0.094353
0.2258
0.354111
0.708238
0.022578
0.059942
0.121867
0.029448
0.065043
0.374223
3
train
H0
H09
75
75
50
45.333333
50.666667
0.42538
-0.073172
-0.881523
-0.877444
2.235202
3.482925
2.447457
-0.877444
0.881523
0.294131
0.769908
0.196277
0.004606
1.878949
1.94704
0.084731
3
train
H1
H09
75
75
50
44
56
0.782612
-0.523836
-1.370523
-1.376151
5.377392
6.154151
5.495377
-1.376151
1.370523
0.064076
1.893792
0.785285
0.262429
4.971936
5.15606
0.562834
3
train
H0
H09
100
100
50
54
47
-1.306105
1.36466
1.013473
1.007151
2.392242
2.722086
2.232119
-1.306105
1.36466
0.136213
1.014354
1.754876
1.876317
0.034683
0.092406
-1.490044
3
train
H1
H09
100
100
50
54
55
0.47189
-0.419269
-0.268425
-0.268264
0.940752
9.465538
0.670257
0.47189
0.419269
0.023701
0.071966
0.242788
0.173951
0.044588
0.014469
0.451698
3
train
H0
H09
150
150
50
48
58
2.22345
-2.045015
-2.397862
-2.438354
6.188141
7.276409
6.135834
-2.438354
2.397862
0.027321
5.94557
4.942701
4.18332
4.850682
4.787139
2.206903
3
train
H1
H09
150
150
50
50
43.333333
0.473698
-0.433449
-0.623028
-0.629354
0.581063
1.084885
0.531063
-0.629354
0.623028
0.638196
0.396086
0.23385
0.187235
0.431356
0.414304
0.470223
3
train
H0
H09
200
200
50
50
54.5
0.174336
-0.134175
-0.236559
-0.235532
0.075841
0.230415
0.080948
-0.235532
0.236559
0.885449
0.055475
0.027078
0.017664
0.049376
0.068707
0.144065
3
train
H1
H09
200
200
50
51.5
48
-0.055347
-0.196471
0.362539
0.361105
0.706387
2.276865
0.870775
0.361105
0.362539
0.516967
0.130397
0.003313
0.038339
0.68886
0.796746
0.211756
3
train
H0
H09
300
300
50
52.333333
53.666667
0.623172
-0.990128
0.000583
0.000586
4.286821
4.255938
4.19063
0.000586
0.990128
0.123032
0
0.430906
0.975967
1.427748
1.352828
1.077405
3
train
H1
H09
300
300
50
53.333333
43.666667
-0.097266
-0.114042
0.256505
0.25678
0.146148
1.330415
0.245366
0.25678
0.256505
0.721924
0.065936
0.011062
0.012491
0.255897
0.282342
0.125004
3
train
H0
H09
500
500
50
49.2
54.6
0.495455
-0.277933
-0.726986
-0.726093
0.817986
0.79004
0.840921
0.495455
0.726986
0.656744
0.527211
0.228173
0.076728
0.760453
0.743387
0.303147
3
train
H1
H09
500
500
50
53.8
51.2
1.227078
-1.604141
-0.919036
-0.925882
1.82734
4.996955
2.189971
-0.925882
1.604141
0.080004
0.857257
1.528365
2.573058
0.007164
0.006463
1.750663
3
train
H0
H09
1,000
1,000
50
49.9
52.5
0.235446
-0.151308
-0.267111
-0.266903
0.071321
0.10551
0.074038
-0.266903
0.267111
0.870112
0.071237
0.052506
0.022607
0.052904
0.048026
0.163516
3
train
H1
H09
1,000
1,000
50
49.1
46.3
-0.891638
0.735008
0.566248
0.566574
2.188981
8.280853
1.436858
-0.891638
0.735008
0.04055
0.321006
0.818755
0.540639
0.026658
0.012909
-0.799298