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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perc
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0
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143
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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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0
106
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float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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2
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train
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50.666667
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0.958997
0.669795
0.668873
1.360586
1.660825
1.30119
0.668873
0.958997
0.316842
0.447392
0.782027
0.919532
0.005242
0.012563
-1.000969
2
train
H0
H04
500
500
50
53
47.2
-1.153943
0.932435
1.411499
1.410751
2.763502
3.656412
2.671234
1.410751
1.411499
0.262996
1.990217
1.188948
0.869307
2.764467
2.745
-0.971042
2
train
H1
H04
500
500
50
49.6
48.6
-1.897405
2.101374
1.423026
1.424021
5.812277
5.714291
5.778592
-1.897405
2.101374
0.028748
2.027836
3.580707
4.420583
0.003174
0.009805
-2.186922
2
train
H0
H04
1,000
1,000
50
50.4
48.8
-0.692213
0.632243
0.738801
0.738384
0.545543
1.232075
0.551767
0.738384
0.738801
0.510949
0.545211
0.55858
0.399692
0.457571
0.471538
-0.657361
2
train
H1
H04
1,000
1,000
50
49.6
52.3
-2.207814
2.64265
1.480332
1.487394
11.80862
13.264046
12.259691
1.487394
2.64265
0.002177
2.212342
4.90378
6.996688
0.356038
0.35235
-2.735572
2
train
H0
H05
20
20
0
0
0
-0.1082
0.1082
0.766999
0.765619
1.801137
2.871728
2.208774
0.765619
0.766999
0.331414
0.586172
0.178961
0.01166
1.86475
1.958293
-0.109579
2
train
H1
H05
20
20
0
0
0
2.434508
-2.434508
-1.687105
-1.736607
7.704916
8.180488
7.17332
-1.736607
2.434508
0.013681
3.015804
5.303524
6.164384
0.394596
0.665451
2.465522
2
train
H0
H05
30
30
0
0
0
-0.177413
0.177413
0.322865
0.319876
0.115749
0.117596
0.150559
-0.177413
0.322865
0.858008
0.102321
0.081425
0.031426
0.171657
0.156232
-0.17891
2
train
H1
H05
30
30
0
0
0
-0.50267
0.50267
1.225541
1.245257
2.624409
4.711791
3.327527
1.245257
1.225541
0.189425
1.550664
0.794697
0.253162
3.028577
3.296765
-0.506912
2
train
H0
H05
50
50
0
0
0
0.282647
-0.282647
-0.357885
-0.352852
0.152754
0.552235
0.127353
0.282647
0.357885
0.776356
0.124505
0.081312
0.079614
0.069155
0.046589
0.284071
2
train
H1
H05
50
50
0
0
0
1.206418
-1.206418
-1.541987
-1.553432
2.464839
2.423757
2.526578
-1.553432
1.541987
0.225322
2.41315
2.039237
1.461953
2.204839
2.199709
1.212496
2
train
H0
H05
75
75
0
0
0
-1.610615
1.610615
1.627397
1.640098
3.261103
6.03877
2.823933
1.640098
1.627397
0.10845
2.689921
3.201197
2.604327
1.415844
1.784328
-1.605201
2
train
H1
H05
75
75
0
0
0
1.137015
-1.137015
-1.106897
-1.11131
1.248278
6.675999
1.347115
1.137015
1.137015
0.082974
1.235009
1.046926
1.293932
0.593305
0.49152
1.133193
2
train
H0
H05
100
100
0
0
0
0.356735
-0.356735
-1.071096
-1.073693
2.68404
2.646018
2.644944
-1.073693
1.071096
0.266476
1.152817
0.423696
0.12709
2.219151
2.121362
0.35763
2
train
H1
H05
100
100
0
0
0
1.922947
-1.922947
-2.303306
-2.35647
5.940386
10.471697
5.685308
-2.35647
2.303306
0.014954
5.552951
4.390215
3.714374
4.76299
4.600884
1.927773
2
train
H0
H05
150
150
0
0
0
-0.758736
0.758736
-0.59474
-0.598755
7.477921
7.238149
7.531456
-0.758736
0.758736
0.023151
0.358508
0.062543
0.57591
3.585145
3.453569
-0.760004
2
train
H1
H05
150
150
0
0
0
0.978371
-0.978371
-0.429447
-0.427856
1.534021
1.336193
1.695715
0.978371
0.978371
0.327083
0.183061
0.5897
0.957251
0.067238
0.045111
0.980005
2
train
H0
H05
200
200
0
0
0
-0.627085
0.627085
0.94094
0.939903
1.195378
1.623737
1.035603
0.939903
0.94094
0.530089
0.883417
0.500899
0.392941
1.088377
1.0303
-0.62787
2
train
H1
H05
200
200
0
0
0
1.274929
-1.274929
-0.872816
-0.87331
1.911883
3.541414
1.858915
-0.87331
1.274929
0.20177
0.762671
1.438839
1.626502
0.061534
0.046822
1.276525
2
train
H0
H05
300
300
0
0
0
-0.399418
0.399418
-0.151706
-0.151751
1.69529
3.317802
1.189257
-0.399418
0.399418
0.345173
0.023028
0.067048
0.159455
0.433951
0.376526
-0.399752
2
train
H1
H05
300
300
0
0
0
0.752677
-0.752677
-0.470057
-0.469099
0.632301
0.702556
0.70455
0.752677
0.752677
0.451266
0.220054
0.39632
0.566485
0.002555
0.006643
0.753305
2
train
H0
H05
500
500
0
0
0
-2.661259
2.661259
1.753527
1.758763
9.982407
11.765256
8.361383
-2.661259
2.661259
0.007754
3.093247
6.299132
7.097079
0.082208
0.113981
-2.66259
2
train
H1
H05
500
500
0
0
0
4.016961
-4.016961
-3.668024
-3.696081
15.7473
18.061642
16.364347
4.016961
4.016961
0.000058
13.661013
15.923665
16.213329
5.961226
5.91086
4.018971
2
train
H0
H05
1,000
1,000
0
0
0
-0.116238
0.116238
-0.242598
-0.24232
0.385942
0.828823
0.486104
-0.116238
0.242598
0.784231
0.058719
0.000578
0.013509
0.275479
0.291524
-0.116267
2
train
H1
H05
1,000
1,000
0
0
0
3.87883
-3.87883
-2.564611
-2.569214
17.851439
18.590569
17.642231
3.87883
3.87883
0.000105
6.600863
12.56209
15.077702
0.434639
0.435624
3.8798
2
train
H0
H05
20
20
10
30
0
-0.927157
0.942483
0.422984
0.42661
2.464871
3.722693
2.185049
-0.927157
0.942483
0.293007
0.181996
0.600491
0.881862
0.134272
0.068405
-0.981764
2
train
H1
H05
20
20
10
10
5
-0.418091
0.416272
0.213215
0.209135
0.357123
0.417044
0.316205
-0.418091
0.416272
0.672798
0.043737
0.130549
0.171821
0.000024
0.001187
-0.42231
2
train
H0
H05
30
30
10
3.333333
13.333333
0.645655
-0.635449
-0.864818
-0.855962
0.878637
1.91061
0.816526
0.645655
0.864818
0.516088
0.73267
0.511902
0.401634
0.619943
0.511655
0.649388
2
train
H1
H05
30
30
10
13.333333
3.333333
1.019307
-1.037761
-0.122921
-0.122635
5.18163
6.685123
4.441141
1.019307
1.037761
0.082641
0.015039
0.562243
1.082099
0.781156
0.594883
1.029639
2
train
H0
H05
50
50
10
6
10
-0.237161
0.212028
0.564166
0.56153
0.821729
1.433011
0.670788
0.56153
0.564166
0.697815
0.315316
0.102923
0.044786
0.764838
0.674455
-0.217278
2
train
H1
H05
50
50
10
16
8
1.420072
-1.476814
-0.602569
-0.599237
4.724044
4.789435
4.475312
1.420072
1.476814
0.106708
0.359085
1.469936
2.191136
0.225969
0.134697
1.482079
2
train
H0
H05
75
75
10
8
9.333333
-1.099542
1.103179
0.568085
0.570521
2.684178
3.259513
2.071247
0.570521
1.103179
0.268186
0.325494
1.051734
1.221539
0.078169
0.040407
-1.107249
2
train
H1
H05
75
75
10
13.333333
5.333333
-0.209513
0.220259
-0.12162
-0.122345
0.536126
0.551854
0.59084
-0.122345
0.220259
0.744219
0.014968
0.00592
0.048442
0.218519
0.197951
-0.227454
2
train
H0
H05
100
100
10
8
10
1.369825
-1.388218
-1.268366
-1.27914
1.687331
7.820275
1.890692
1.369825
1.388218
0.049876
1.6362
1.698783
1.930708
0.676075
0.607138
1.390943
2
train
H1
H05
100
100
10
12
8
-0.573123
0.552643
0.702276
0.701137
0.503144
4.436172
0.508385
0.701137
0.702276
0.218055
0.491593
0.479685
0.304882
0.495191
0.633205
-0.556867
2
train
H0
H05
150
150
10
10.666667
8.666667
-0.530823
0.519322
0.677907
0.676115
0.530376
0.869405
0.485925
0.676115
0.677907
0.600534
0.457132
0.311988
0.269521
0.489619
0.450368
-0.523633
2
train
H1
H05
150
150
10
13.333333
10
-0.802624
0.809997
0.621861
0.619392
0.6927
0.729055
0.69891
-0.802624
0.809997
0.414684
0.383646
0.578318
0.655806
0.078798
0.088974
-0.815679
2
train
H0
H05
200
200
10
9.5
9
1.292735
-1.302534
-1.133531
-1.1326
1.502846
3.078752
1.674583
1.292735
1.302534
0.189223
1.282784
1.505059
1.697334
0.398162
0.345984
1.31288
2
train
H1
H05
200
200
10
9.5
6
-0.166483
0.161518
0.135081
0.134707
0.068181
1.475322
0.028438
0.134707
0.161518
0.687978
0.018146
0.034824
0.026062
0.010391
0.025055
-0.161877
2
train
H0
H05
300
300
10
13
7
0.661868
-0.704569
-0.048475
-0.048353
1.625221
2.46343
1.860338
0.661868
0.704569
0.394487
0.002338
0.220993
0.496523
0.443862
0.469769
0.708838
2
train
H1
H05
300
300
10
10
10.333333
3.047863
-3.092709
-2.067354
-2.07521
11.24086
12.188552
11.384898
3.047863
3.092709
0.00181
4.306497
7.928109
9.61028
0.273041
0.272488
3.119762
2
train
H0
H05
500
500
10
10
10.8
-1.029803
1.033897
0.69207
0.691586
1.495792
1.983347
1.315813
0.691586
1.033897
0.297874
0.478292
0.912624
1.069244
0.01601
0.023545
-1.041004
2
train
H1
H05
500
500
10
9.8
10.2
1.71232
-1.706595
-1.682317
-1.684165
2.93217
4.280773
3.051922
1.71232
1.706595
0.085559
2.836411
2.906454
2.913768
1.432972
1.381321
1.719305
2
train
H0
H05
1,000
1,000
10
10.5
10.3
-0.911566
0.95416
0.123159
0.12321
3.378733
3.556276
3.189302
-0.911566
0.95416
0.202979
0.015181
0.480755
0.910498
0.656127
0.656029
-0.961568
2
train
H1
H05
1,000
1,000
10
8
11.2
3.738859
-3.723609
-3.492755
-3.499484
13.930942
13.629422
14.137403
3.738859
3.723609
0.000178
12.246389
13.758269
13.884022
5.446835
5.551694
3.748829