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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143
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Q_test
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MAX_Value_test
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MIN3_test
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0
1
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84.2
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99.4
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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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7,649
train
H1
H26
300
300
10
10
11.333333
0.60375
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2.873029
5.069804
2.112672
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1.133766
0.166757
1.289681
0.469769
0.359153
2.116821
1.998523
0.6115
7,649
train
H0
H26
500
500
10
9.4
9.6
-0.161707
0.139238
0.541051
0.540471
0.740874
0.740211
0.733653
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0.541051
0.69293
0.292109
0.090211
0.019383
0.670653
0.632559
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7,649
train
H1
H26
500
500
10
9.2
8.8
0.724112
-0.724029
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6.680042
11.005386
4.783474
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1.577446
0.011697
2.529166
0.777061
0.524327
4.665774
4.529995
0.737073
7,649
train
H0
H26
1,000
1,000
10
12
10.1
-0.210266
0.208139
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1.455869
2.596231
0.772932
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0.210607
0.458151
0.044367
0.033469
0.043317
0.385729
0.356088
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7,649
train
H1
H26
1,000
1,000
10
9.6
9.6
-0.747535
0.728321
-0.212356
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9.311851
29.675952
4.228887
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0.728321
0.000002
0.045676
0.557012
0.530947
1.780104
1.687209
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7,649
train
H0
H26
20
20
20
40
5
0.549781
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0.376525
0.380204
5.494252
5.779713
5.181074
0.549781
0.666112
0.07498
0.144555
0.087177
0.450536
2.173233
1.837471
0.685363
7,649
train
H1
H26
20
20
20
25
5
-1.340314
1.317999
1.337603
1.312963
1.808518
2.589288
1.854396
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1.337603
0.168052
1.723871
1.800989
1.737102
0.851761
0.779824
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7,649
train
H0
H26
30
30
20
20
16.666667
1.199134
-1.235948
-0.808418
-0.805967
2.278787
3.341473
1.97781
1.199134
1.235948
0.202945
0.649583
1.321101
1.532207
0.005707
0.047691
1.273204
7,649
train
H1
H26
30
30
20
26.666667
20
-2.063856
2.02043
2.066081
2.143954
4.596814
8.37349
4.62499
2.143954
2.066081
0.031144
4.59654
4.275061
4.13662
3.201556
3.084891
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7,649
train
H0
H26
50
50
20
20
20
-0.077057
0
0.078309
0.078435
0.155882
6.264122
0.006232
0.078435
0.078309
0.099444
0.006152
0.030203
0
0.003289
0.046877
0.002627
7,649
train
H1
H26
50
50
20
24
22
-0.44003
0.484682
0.261632
0.260402
0.652111
6.86275
0.359772
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0.484682
0.076403
0.067809
0.249538
0.238159
0.005728
0
-0.493239
7,649
train
H0
H26
75
75
20
14.666667
25.333333
0.723069
-0.585206
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2.330135
2.152505
2.586449
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1.270913
0.274385
1.598834
0.892322
0.342692
2.500417
2.431736
0.59691
7,649
train
H1
H26
75
75
20
22.666667
20
1.382024
-1.374842
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3.482534
15.248204
3.006811
-1.67701
1.63546
0.001616
2.812362
1.925655
1.897517
2.755651
2.534668
1.42614
7,649
train
H0
H26
100
100
20
14
16
-0.10605
0.118996
0.133668
0.132853
0.029768
0.066739
0.018499
-0.10605
0.133668
0.903029
0.01765
0.008349
0.01413
0.029625
0.030627
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7,649
train
H1
H26
100
100
20
19
28
1.41784
-1.375383
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2.854728
3.236039
2.792549
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1.662265
0.151353
2.745724
2.146228
1.890012
2.167752
2.086745
1.434769
7,649
train
H0
H26
150
150
20
20.666667
22
2.089902
-2.068383
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-2.122581
4.576207
5.455943
4.644408
-2.122581
2.099111
0.032819
4.505352
4.448367
4.289354
2.520717
2.466427
2.134285
7,649
train
H1
H26
150
150
20
24
20.666667
0.68876
-0.871851
0.418533
0.417878
5.770762
5.673478
6.508954
0.68876
0.871851
0.038601
0.174622
0.114452
0.76122
2.764073
2.641934
0.905442
7,649
train
H0
H26
200
200
20
19
19
0.506897
-0.594073
0.461536
0.46278
5.465307
5.934828
4.832334
0.506897
0.594073
0.089263
0.214166
0.072179
0.35271
2.260592
2.103414
0.610001
7,649
train
H1
H26
200
200
20
18.5
18
0.235305
-0.228526
-0.830171
-0.835696
3.343335
11.072793
2.252328
0.235305
0.830171
0.011339
0.698387
0.107373
0.052197
1.874666
1.708757
0.237287
7,649
train
H0
H26
300
300
20
19
19
0.962401
-0.889545
-1.402414
-1.40492
2.384848
2.527363
2.447947
-1.40492
1.402414
0.294059
1.973801
1.234531
0.791329
2.375733
2.393136
0.91684
7,649
train
H1
H26
300
300
20
19
16
1.15069
-1.245428
-0.736293
-0.735724
1.06744
3.475555
1.776554
1.15069
1.245428
0.198534
0.54129
0.874365
1.551881
0.002458
0.001007
1.28574
7,649
train
H0
H26
500
500
20
20.4
20.2
-0.440259
0.495465
-0.005698
-0.005692
0.989433
0.987904
1.047024
-0.440259
0.495465
0.592436
0.000032
0.104292
0.245401
0.288646
0.271759
-0.510698
7,649
train
H1
H26
500
500
20
21.6
20.6
0.165576
-0.212585
-0.340983
-0.340913
0.57246
2.565113
0.226217
-0.340913
0.340983
0.463638
0.116222
0.013464
0.045188
0.213108
0.191588
0.219811
7,649
train
H0
H26
1,000
1,000
20
18.3
22
-1.29101
1.426687
0.180106
0.18002
6.889036
6.574229
6.72641
-1.29101
1.426687
0.034624
0.032407
1.029297
2.03633
1.509672
1.455023
-1.469225
7,649
train
H1
H26
1,000
1,000
20
21.8
17.5
-1.693542
1.476964
1.81193
1.820753
4.431544
29.728395
3.329056
1.820753
1.81193
0.000002
3.315143
4.11354
2.183804
1.912428
2.002465
-1.528026
7,649
train
H0
H26
20
20
30
45
25
-0.412269
0.371459
0.482743
0.471222
0.227551
0.729206
0.235585
0.471222
0.482743
0.682581
0.22205
0.204692
0.136763
0.439176
0.585844
-0.408944
7,649
train
H1
H26
20
20
30
30
25
-1.347585
1.286154
1.41348
1.453053
2.115472
2.524995
2.111368
-1.347585
1.41348
0.179373
2.111364
2.027497
1.679061
1.683325
1.826623
-1.342687
7,649
train
H0
H26
30
30
30
26.666667
40
2.104105
-2.170227
-1.743311
-1.7431
4.984865
5.010321
4.971291
2.104105
2.170227
0.022082
3.038397
4.249947
4.756666
0.654025
0.726478
2.288953
7,649
train
H1
H26
30
30
30
23.333333
26.666667
-1.215843
1.260554
0.680387
0.676915
3.095372
3.581854
2.816592
-1.215843
1.260554
0.18326
0.458214
1.239067
1.592997
0.094123
0.017062
-1.330784
7,649
train
H0
H26
50
50
30
24
32
0.40388
-0.489485
-0.022867
-0.022754
0.883293
1.180336
1.010754
0.40388
0.489485
0.603278
0.000518
0.078342
0.239166
0.333869
0.336078
0.50319
7,649
train
H1
H26
50
50
30
26
22
-0.290279
0.132263
0.790082
0.787596
1.307308
6.940951
1.915146
0.787596
0.790082
0.073804
0.620307
0.264947
0.017501
1.586929
2.070373
-0.147282
7,649
train
H0
H26
75
75
30
38.666667
37.333333
-1.064713
1.011878
1.212903
1.216595
1.52683
1.744674
1.513012
1.216595
1.212903
0.287786
1.480103
1.259536
1.028251
1.356305
1.318697
-1.062991
7,649
train
H1
H26
75
75
30
28
29.333333
-0.040531
-0.071354
0.419311
0.418777
0.923315
1.004421
1.013495
0.418777
0.419311
0.602452
0.175374
0.02205
0.00509
0.780569
0.769699
0.072436
7,649
train
H0
H26
100
100
30
29
33
1.222616
-1.201768
-1.140388
-1.143189
1.569452
2.411995
1.492382
1.222616
1.201768
0.206374
1.306881
1.444809
1.442181
0.487801
0.632287
1.263599
7,649
train
H1
H26
100
100
30
25
27
-0.375924
0.290609
0.430755
0.43063
0.241536
3.755489
0.187442
0.43063
0.430755
0.289106
0.185443
0.221933
0.085219
0.160126
0.231647
-0.301775
7,649
train
H0
H26
150
150
30
31.333333
24.666667
-1.952762
2.123853
1.099013
1.091832
5.856696
5.939174
6.430652
-1.952762
2.123853
0.02585
1.192098
3.132152
4.512176
0.15841
0.125206
-2.228458
7,649
train
H1
H26
150
150
30
32.666667
26.666667
-1.239869
1.129988
1.343957
1.349126
1.828602
2.266078
1.820237
-1.239869
1.343957
0.234787
1.820142
1.712654
1.276391
1.337854
1.408999
-1.188118
7,649
train
H0
H26
200
200
30
29.5
31.5
0.662628
-0.658461
-0.557144
-0.554306
0.453775
0.535041
0.455687
-0.554306
0.658461
0.48986
0.307255
0.427379
0.433158
0.050142
0.046457
0.690531
7,649
train
H1
H26
200
200
30
29
34.5
-0.886447
0.819996
0.822053
0.827398
0.892742
1.916016
0.786505
-0.886447
0.822053
0.391493
0.684587
0.83869
0.672921
0.293115
0.352405
-0.856913
7,649
train
H0
H26
300
300
30
29.666667
25.333333
-1.537444
1.539851
1.423666
1.423962
2.293351
2.514222
2.363953
-1.537444
1.539851
0.111122
2.027668
2.295062
2.370248
0.815253
0.814872
-1.593168
7,649
train
H1
H26
300
300
30
30.666667
24.666667
-0.895487
0.579258
1.84583
1.852796
6.720435
7.079166
7.50312
1.852796
1.84583
0.023481
3.432853
1.448147
0.335616
6.988351
6.935619
-0.609485
7,649
train
H0
H26
500
500
30
33.8
30.6
-0.18945
0.080787
0.372167
0.371588
0.179639
2.454309
0.293262
0.371588
0.372167
0.483605
0.138078
0.063908
0.006525
0.295266
0.350758
-0.084908
7,649
train
H1
H26
500
500
30
30.2
30.2
-0.637409
0.5763
0.139829
0.13998
2.800803
7.084768
1.643407
-0.637409
0.5763
0.069244
0.019594
0.411322
0.332434
0.41301
0.337142
-0.607362
7,649
train
H0
H26
1,000
1,000
30
30.2
30
-0.51459
0.639472
-0.307134
-0.306831
4.6969
5.297577
3.993024
-0.51459
0.639472
0.135808
0.094146
0.152179
0.408839
1.788283
1.703199
-0.665981
7,649
train
H1
H26
1,000
1,000
30
29.2
29.6
2.304678
-2.561147
-1.783827
-1.787614
4.330763
17.613078
5.976258
2.304678
2.561147
0.000529
3.195565
4.336684
6.564802
0.41184
0.385315
2.686431