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
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20
1k
n2
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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
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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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train
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train
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1.712562
1.719971
4.186666
10.115631
5.20654
1.719971
1.712562
0.017608
2.958299
1.669967
0.536335
5.045516
5.371388
-0.765102
8
train
H0
H26
500
500
30
32.4
29.8
-0.033963
0.161053
-0.434272
-0.434155
1.370763
1.912726
1.384528
-0.434155
0.434272
0.500442
0.18849
0.002453
0.02594
0.931577
1.006902
-0.167634
8
train
H1
H26
500
500
30
29.6
29.4
-1.618285
1.556805
1.197742
1.199896
3.921331
6.581391
3.103232
-1.618285
1.556805
0.086507
1.43975
2.586511
2.426583
0.072606
0.101062
-1.632797
8
train
H0
H26
1,000
1,000
30
32.1
30.3
-1.59904
1.623778
1.435302
1.436582
2.33758
4.782789
2.562749
-1.59904
1.623778
0.088431
2.063767
2.467501
2.636633
0.676591
0.638915
-1.703731
8
train
H1
H26
1,000
1,000
30
30.3
28.8
-0.33827
0.189877
0.346777
0.346394
0.360356
6.275513
0.122632
-0.33827
0.346777
0.098949
0.119989
0.209369
0.036104
0.065196
0.097932
-0.198766
8
train
H0
H26
20
20
40
40
50
0.054426
0.393572
-0.862796
-0.87677
8.963446
9.216971
9.120659
-0.87677
0.862796
0.010459
0.768726
0.014872
0.169443
5.685024
5.557027
-0.379284
8
train
H1
H26
20
20
40
55
30
-1.592156
1.34657
1.324775
1.289932
2.900233
3.975953
2.674174
-1.592156
1.34657
0.110743
1.663924
2.163809
1.856786
0.068795
0.226899
-1.594864
8
train
H0
H26
30
30
40
36.666667
33.333333
0.585594
-0.662945
-0.521583
-0.5183
0.292775
3.663355
0.351224
0.585594
0.662945
0.300185
0.268635
0.306213
0.427493
0.042419
0.025691
0.716494
8
train
H1
H26
30
30
40
40
36.666667
-0.580406
0.68445
0.394425
0.389235
0.544214
0.617986
0.545329
-0.580406
0.68445
0.471269
0.151504
0.357698
0.468906
0.001154
0.000059
-0.720415
8
train
H0
H26
50
50
40
42
36
-0.302417
0.163692
0.597901
0.595186
0.881674
1.10914
0.92184
0.595186
0.597901
0.630703
0.354247
0.124294
0.026727
1.032724
1.059245
-0.179097
8
train
H1
H26
50
50
40
40
40
0.450844
-0.732748
0.290558
0.295144
5.225881
5.291659
5.161418
0.295144
0.732748
0.07572
0.08711
0.126048
0.530559
2.101033
1.982693
0.798632
8
train
H0
H26
75
75
40
44
42.666667
-0.927735
0.712496
1.258208
1.276541
2.624203
2.862821
2.677063
-0.927735
1.258208
0.26223
1.629556
0.96554
0.508245
2.910477
2.922595
-0.752292
8
train
H1
H26
75
75
40
48
38.666667
-1.121146
1.216313
0.881172
0.881285
1.540587
1.933038
1.602745
-1.121146
1.216313
0.199796
0.776664
1.26487
1.487741
0.063176
0.058558
-1.282133
8
train
H0
H26
100
100
40
41
45
-0.415207
0.186417
0.898607
0.917988
3.503908
6.110105
3.174416
0.917988
0.898607
0.106375
0.842702
0.201333
0.03473
2.72879
2.62387
-0.173837
8
train
H1
H26
100
100
40
41
47
1.596381
-1.870234
-1.05839
-1.057915
3.873001
4.291513
4.097607
1.596381
1.870234
0.044053
1.119184
2.39179
3.494412
0.007598
0.006797
2.013583
8
train
H0
H26
150
150
40
41.333333
38.666667
0.013646
-0.129201
0.332329
0.331342
0.95071
1.06702
0.890971
0.331342
0.332329
0.640513
0.109788
0.000386
0.016673
0.615851
0.560977
0.136126
8
train
H1
H26
150
150
40
42.666667
32
-1.623083
1.57664
1.506609
1.507015
2.711896
2.999542
2.63496
-1.623083
1.57664
0.09429
2.271095
2.702944
2.493401
0.88435
0.920782
-1.67319
8
train
H0
H26
200
200
40
45.5
43
-0.246155
0.192809
0.325084
0.324495
0.155728
0.437252
0.135047
-0.246155
0.325084
0.835811
0.105297
0.057897
0.037146
0.158476
0.148681
-0.207255
8
train
H1
H26
200
200
40
31.5
40.5
0.477651
-0.309389
-1.098227
-1.095241
3.580434
3.810164
3.388071
-1.095241
1.098227
0.183776
1.199554
0.297468
0.095707
3.022591
2.948177
0.328562
8
train
H0
H26
300
300
40
47.333333
41.666667
-1.006652
0.985549
1.028043
1.024619
1.052142
1.322485
1.06654
-1.006652
1.028043
0.291185
1.049845
0.990671
0.970703
0.617648
0.608741
-1.055526
8
train
H1
H26
300
300
40
43.666667
40.333333
0.681393
-1.022165
-0.137214
-0.137238
1.894072
7.562213
2.649196
0.681393
1.022165
0.055981
0.018834
0.308292
1.044694
0.584061
0.61648
1.094181
8
train
H0
H26
500
500
40
39
41
0.105047
0.128746
-0.582013
-0.581395
1.637126
1.702394
1.833687
-0.581395
0.582013
0.399779
0.33802
0.03397
0.016575
1.290953
1.255844
-0.136268
8
train
H1
H26
500
500
40
41.4
42.6
1.027909
-1.513773
-0.289931
-0.289844
3.509093
10.265244
4.806544
-0.289844
1.513773
0.016441
0.08401
0.79674
2.29336
0.878873
0.938478
1.613301
8
train
H0
H26
1,000
1,000
40
37.5
39.1
-0.99616
1.135774
0.734003
0.734607
1.047133
1.164666
1.263782
-0.99616
1.135774
0.230677
0.539647
0.906196
1.290037
0.018246
0.022364
-1.198616
8
train
H1
H26
1,000
1,000
40
40.3
40.2
0.090276
-0.285906
-0.116113
-0.116069
0.078747
1.520262
0.015847
0.090276
0.285906
0.677602
0.013472
0.003495
0.081724
0.0185
0.014911
0.305058
8
train
H0
H26
20
20
50
45
50
0.818016
-0.717083
-0.794501
-0.782912
0.67933
0.901681
0.667092
-0.782912
0.794501
0.435091
0.612951
0.644867
0.515419
0.109548
0.18957
0.78051
8
train
H1
H26
20
20
50
45
40
0.612956
-0.925007
0.041015
0.039951
3.566931
3.854918
3.709969
0.612956
0.925007
0.156455
0.001596
0.327416
0.854409
1.28001
1.09268
1.007581
8
train
H0
H26
30
30
50
56.666667
53.333333
0.202048
-0.588995
-0.058899
-0.058562
0.191934
5.764783
0.309072
-0.058562
0.588995
0.123632
0.003429
0.090704
0.345451
0.171434
0.296345
0.620064
8
train
H1
H26
30
30
50
60
46.666667
-1.181388
1.228347
1.001613
0.991701
1.648073
1.636275
1.645212
0.991701
1.228347
0.159691
0.98347
1.370583
1.554901
0.234029
0.280572
-1.406111
8
train
H0
H26
50
50
50
58
50
-0.194313
0.134918
0.231617
0.23297
0.076768
0.217604
0.072661
0.23297
0.231617
0.884874
0.054275
0.031555
0.018168
0.160796
0.151936
-0.144793
8
train
H1
H26
50
50
50
62
54
-0.139833
-0.095578
0.200854
0.197284
0.041213
1.741187
0.066449
-0.139833
0.200854
0.627816
0.038921
0.016211
0.008096
0.148919
0.291324
0.091244
8
train
H0
H26
75
75
50
60
44
-0.776621
0.835119
0.603786
0.602882
0.776707
1.501916
0.845363
0.602882
0.835119
0.3544
0.363466
0.555585
0.698985
0.042571
0.022833
-0.926088
8
train
H1
H26
75
75
50
52
57.333333
1.308984
-1.714007
-0.967033
-0.961409
2.114593
12.823582
2.780391
-0.961409
1.714007
0.005034
0.924308
1.584624
2.961284
0.021751
0.000131
1.887767
8
train
H0
H26
100
100
50
55
51
0.314478
-0.344075
-0.413898
-0.414755
0.336502
3.249725
0.263134
-0.414755
0.413898
0.354701
0.172022
0.073785
0.118438
0.248922
0.188483
0.375005
8
train
H1
H26
100
100
50
54
54
-0.380581
0.499611
0.090362
0.090034
1.43009
3.289126
1.227263
0.090034
0.499611
0.349159
0.008106
0.196898
0.249376
0.281389
0.216614
-0.535519
8
train
H0
H26
150
150
50
46
50
1.143288
-0.979693
-1.16826
-1.165117
1.391424
1.421863
1.378083
1.143288
1.16826
0.287641
1.357498
1.310672
0.959875
0.727711
0.732378
1.063312
8
train
H1
H26
150
150
50
42.666667
49.333333
1.587649
-1.595508
-1.655076
-1.655566
2.743625
4.379086
2.745366
-1.655566
1.655076
0.08545
2.7409
2.498309
2.549271
1.643578
1.568582
1.719902
8
train
H0
H26
200
200
50
45
48
0.405809
-0.508676
-0.137566
-0.137261
0.580932
1.688206
0.705645
-0.137261
0.508676
0.584635
0.018841
0.147832
0.258555
0.144321
0.189369
0.546627
8
train
H1
H26
200
200
50
54.5
47.5
-0.812558
0.386151
1.338341
1.334735
3.523567
3.420297
3.683182
-0.812558
1.338341
0.158565
1.781517
0.682052
0.148986
3.79885
3.750186
-0.425849
8
train
H0
H26
300
300
50
43.666667
45.666667
1.711353
-1.845364
-1.566063
-1.570193
2.709472
8.012142
2.954077
1.711353
1.845364
0.045761
2.465506
2.93015
3.410242
0.800865
0.71199
1.971202
8
train
H1
H26
300
300
50
46.666667
48.666667
0.569315
-1.064017
-0.102763
-0.10267
1.152752
8.597617
1.94882
-0.10267
1.064017
0.035148
0.010541
0.276486
1.132172
0.487155
0.590261
1.163152
8
train
H0
H26
500
500
50
51.4
47.6
-1.411565
1.305979
1.461498
1.460082
2.157552
2.450452
2.14125
-1.411565
1.461498
0.15967
2.131841
2.053734
1.705285
1.314514
1.399541
-1.406181
8
train
H1
H26
500
500
50
52
46.8
-1.049997
0.695122
1.04602
1.046307
1.35712
10.695171
1.12615
-1.049997
1.04602
0.013494
1.094759
1.220621
0.483238
0.48978
0.559954
-0.750116
8
train
H0
H26
1,000
1,000
50
49.4
50.7
-0.73328
0.788734
0.388841
0.388571
1.653726
1.86491
1.467418
-0.73328
0.788734
0.398625
0.150988
0.55233
0.622131
0.121975
0.131534
-0.84408
8
train
H1
H26
1,000
1,000
50
48.5
49.7
1.003743
-1.434623
-0.848226
-0.847739
0.785044
13.665564
1.11746
1.003743
1.434623
0.003398
0.718661
0.932841
2.059394
0.140593
0.118328
1.54877