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
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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
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
float64
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2
train
H0
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train
H1
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train
H0
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train
H1
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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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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
H22
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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
H22
75
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train
H0
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train
H1
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train
H0
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train
H1
H22
150
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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
H22
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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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20
20
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35
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train
H1
H22
20
20
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train
H0
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train
H1
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30
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train
H0
H22
50
50
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34
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train
H1
H22
50
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train
H0
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train
H1
H22
75
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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
H22
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train
H1
H22
300
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0.24818
0.245431
0.267591
0.466715
0.55696
0.550443
0.217822
0.224047
0.311641
0.080473
0.086412
-0.597097
2
train
H0
H22
500
500
40
38
41.8
1.250556
-1.051733
-1.565502
-1.568609
2.62991
5.847801
2.825539
-1.568609
1.565502
0.119254
2.460535
1.818627
1.094505
2.648775
2.808191
1.135193
2
train
H1
H22
500
500
40
40.2
38.6
-1.850528
1.922282
1.780717
1.788083
3.315765
4.951043
3.451602
1.788083
1.922282
0.03841
3.19724
3.286963
3.700675
1.52422
1.484572
-2.070455
2
train
H0
H22
1,000
1,000
40
41.9
38.7
-0.208586
0.003736
0.753152
0.752597
2.403078
2.335866
2.500395
0.752597
0.753152
0.286448
0.566402
0.098746
0.00005
1.975857
1.94612
-0.007955
2
train
H1
H22
1,000
1,000
40
38.7
39.9
-1.210291
1.244347
1.348702
1.35145
1.899312
2.455974
1.846196
1.35145
1.348702
0.18171
1.826418
1.454502
1.550197
1.453104
1.414675
-1.335509
2
train
H0
H22
20
20
50
60
50
-0.770452
0.596441
0.869547
0.872379
0.865405
0.881407
0.863074
-0.770452
0.869547
0.464009
0.761045
0.544479
0.404131
1.256672
1.276315
-0.732261
2
train
H1
H22
20
20
50
65
40
-0.567601
0.080123
1.391905
1.409952
11.796994
11.761339
11.869527
1.409952
1.391905
0.002646
1.987964
0.477227
0.014634
7.576675
7.222413
-0.296164
2
train
H0
H22
30
30
50
56.666667
46.666667
-0.409954
0.362512
0.356142
0.349987
0.211319
0.856806
0.184764
0.349987
0.362512
0.659842
0.122491
0.1778
0.163162
0.133994
0.209626
-0.440131
2
train
H1
H22
30
30
50
40
43.333333
0.188724
-0.156325
-0.327408
-0.320859
0.253111
0.512484
0.227994
0.188724
0.327408
0.858524
0.10295
0.043948
0.02424
0.108492
0.064625
0.178254
2
train
H0
H22
50
50
50
60
50
-1.074382
1.162402
0.509559
0.50368
3.921801
4.706018
3.669558
-1.074382
1.162402
0.134298
0.253694
1.049724
1.532585
0.53185
0.357802
-1.497365
2
train
H1
H22
50
50
50
40
60
2.561736
-2.551569
-2.378397
-2.391433
6.615155
6.703033
6.606393
2.561736
2.551569
0.003979
5.718951
6.581378
6.386424
2.281839
2.397097
2.879851
2
train
H0
H22
75
75
50
60
53.333333
0.397317
-0.764021
-0.057423
-0.057387
1.601827
1.647428
1.653966
-0.057387
0.764021
0.418871
0.003293
0.199453
0.535479
0.557319
0.515055
0.808382
2
train
H1
H22
75
75
50
50.666667
52
0.353932
-0.251322
-0.548317
-0.547287
0.72079
3.336621
0.58013
0.353932
0.548317
0.342578
0.299523
0.113745
0.057179
0.450396
0.346202
0.281729
2
train
H0
H22
100
100
50
52
45
-1.579091
1.66618
1.522804
1.535692
2.399654
12.801673
2.517395
1.535692
1.66618
0.005086
2.358349
2.354197
2.823793
1.137632
1.002422
-1.840767
2
train
H1
H22
100
100
50
51
44
-0.676372
0.739997
0.610401
0.610167
0.430925
1.279211
0.467933
0.610167
0.739997
0.414098
0.372304
0.418974
0.560211
0.170712
0.128278
-0.816703
2
train
H0
H22
150
150
50
46
51.333333
0.189483
-0.012472
-0.676916
-0.674143
2.645058
3.184123
2.455295
-0.674143
0.676916
0.292981
0.454469
0.050402
0
1.754528
1.564311
0.006637
2
train
H1
H22
150
150
50
55.333333
57.333333
-0.641298
0.615224
0.675404
0.676385
0.458741
0.466643
0.4583
0.676385
0.675404
0.48858
0.457496
0.389661
0.382479
0.408782
0.41451
-0.692569
2
train
H0
H22
200
200
50
50.5
44
-0.75775
0.720639
0.797906
0.795812
0.633379
0.737316
0.633643
0.795812
0.797906
0.409375
0.633318
0.602301
0.543881
0.47616
0.47052
-0.824994
2
train
H1
H22
200
200
50
51.5
53
-0.619944
0.987205
0.325917
0.325027
0.754001
9.724748
1.190848
-0.619944
0.987205
0.021057
0.105643
0.327701
0.982242
0.093001
0.14304
-1.097424
2
train
H0
H22
300
300
50
52.666667
49.666667
-0.223782
0.019137
0.490366
0.489348
0.620631
2.078822
0.784958
0.489348
0.490366
0.556209
0.239462
0.061012
0.001055
0.703659
0.779411
-0.037833
2
train
H1
H22
300
300
50
49
54
0.014785
0.364616
-0.421808
-0.421125
1.570583
2.604488
1.787884
-0.421125
0.421808
0.40904
0.177347
0.000617
0.134052
1.030983
1.063302
-0.402107
2
train
H0
H22
500
500
50
49
50.8
-0.319665
0.266332
0.5346
0.535217
0.885645
6.567953
0.645367
-0.319665
0.5346
0.087021
0.286457
0.085839
0.075321
0.631955
0.573059
-0.307322
2
train
H1
H22
500
500
50
49.2
50.2
-0.747209
1.155224
0.197152
0.196946
2.590149
7.01915
3.265305
0.196946
1.155224
0.07129
0.038788
0.481777
1.338754
0.697184
0.748307
-1.271584
2
train
H0
H22
1,000
1,000
50
47.7
47.9
1.021308
-1.148281
-0.687252
-0.687022
1.627346
1.699601
1.724145
1.021308
1.148281
0.204434
0.472
0.947853
1.303927
0.003612
0.003099
1.269019
2
train
H1
H22
1,000
1,000
50
51.3
48.8
-2.47291
2.952055
1.931816
1.93567
7.042684
10.660051
7.918206
1.93567
2.952055
0.001145
3.746818
5.876941
8.724226
0.178626
0.188927
-3.252117
2
train
H0
H23
20
20
0
0
0
-0.784453
0.784453
0.719485
0.714071
0.814618
2.913409
0.617634
-0.784453
0.784453
0.405169
0.509898
0.724629
0.616456
0.193395
0.387096
-0.794446
2
train
H1
H23
20
20
0
0
0
1.217254
-1.217254
-1.478388
-1.505233
2.26756
2.963336
2.328773
-1.505233
1.478388
0.217665
2.265725
2.080752
1.501669
1.986282
2.228381
1.232761
2
train
H0
H23
30
30
0
0
0
0.739221
-0.739221
-0.934814
-0.929056
0.953098
1.900336
0.897305
0.739221
0.934814
0.455994
0.863146
0.651243
0.544129
0.695955
0.604622
0.74546
2
train
H1
H23
30
30
0
0
0
0.029569
-0.029569
-0.268279
-0.265011
0.114143
2.420924
0.257177
0.029569
0.268279
0.489752
0.070231
0.033797
0.000871
0.178069
0.27717
0.029818
2
train
H0
H23
50
50
0
0
0
-0.406735
0.406735
-0.051261
-0.05076
0.412269
3.332051
0.867539
-0.406735
0.406735
0.343207
0.002577
0.027027
0.165213
0.254631
0.351793
-0.408784
2
train
H1
H23
50
50
0
0
0
-0.386054
0.386054
0.552615
0.548122
0.401245
0.600019
0.339349
-0.386054
0.552615
0.698017
0.300438
0.177662
0.148601
0.376457
0.339742
-0.387999
2
train
H0
H23
75
75
0
0
0
-0.697244
0.697244
0.884775
0.886398
1.061913
4.725227
0.816995
0.886398
0.884775
0.193059
0.785702
0.474414
0.485302
0.806749
0.693123
-0.6949
2
train
H1
H23
75
75
0
0
0
-0.343924
0.343924
-0.000953
-0.000946
0.683654
0.883363
0.495945
-0.343924
0.343924
0.731773
0.000001
0.068392
0.118053
0.11695
0.085467
-0.342768
2
train
H0
H23
100
100
0
0
0
-0.552206
0.552206
-0.029559
-0.029379
1.406839
1.424962
1.383638
-0.552206
0.552206
0.500664
0.000863
0.126995
0.304601
0.37172
0.334815
-0.553592
2
train
H1
H23
100
100
0
0
0
0.227235
-0.227235
-1.230821
-1.244875
4.955658
4.879909
4.99048
-1.244875
1.230821
0.082477
1.549713
0.401816
0.051603
4.045565
3.935089
0.227805
2
train
H0
H23
150
150
0
0
0
-1.152747
1.152747
0.962349
0.959953
1.071037
2.243557
1.337276
-1.152747
1.152747
0.248224
0.921509
1.093402
1.329354
0.258677
0.230599
-1.154673
2
train
H1
H23
150
150
0
0
0
1.699836
-1.699836
-2.526825
-2.575654
8.053179
7.995338
8.13207
-2.575654
2.526825
0.017145
6.633992
4.421046
2.895605
7.89741
7.866442
1.702676
2
train
H0
H23
200
200
0
0
0
0.881379
-0.881379
-0.957981
-0.956539
0.921774
1.920708
0.924888
0.881379
0.957981
0.377516
0.914966
0.797001
0.776759
0.586699
0.538139
0.882483
2
train
H1
H23
200
200
0
0
0
1.968615
-1.968615
-2.753843
-2.808033
9.442678
11.20738
9.066668
-2.808033
2.753843
0.010656
7.885052
5.414674
3.88456
8.644999
8.50341
1.97108
2
train
H0
H23
300
300
0
0
0
-1.105466
1.105466
1.257719
1.257013
1.584321
2.127924
1.580751
-1.105466
1.257719
0.268559
1.580082
1.393576
1.221887
1.183833
1.137748
-1.106388
2
train
H1
H23
300
300
0
0
0
-0.6142
0.6142
-1.333297
-1.351478
13.861723
18.784671
16.059043
-0.6142
1.333297
0.000303
1.826491
0.028676
0.377632
9.981815
10.117628
-0.614712
2
train
H0
H23
500
500
0
0
0
1.185774
-1.185774
-1.29473
-1.294016
1.675652
1.707178
1.690429
1.185774
1.29473
0.235477
1.674477
1.522081
1.406185
1.096346
1.086653
1.186368
2
train
H1
H23
500
500
0
0
0
0.374455
-0.374455
-1.958611
-1.977202
12.560865
12.761613
11.808675
-1.977202
1.958611
0.002728
3.909329
0.953132
0.140213
9.690814
9.552627
0.374642
2
train
H0
H23
1,000
1,000
0
0
0
-1.221079
1.221079
0.81715
0.816524
1.634139
1.485873
1.726471
-1.221079
1.221079
0.221941
0.666711
1.16954
1.491073
0.037205
0.043112
-1.221384
2
train
H1
H23
1,000
1,000
0
0
0
-0.414306
0.414306
-2.132765
-2.158539
31.27602
33.013791
27.637442
-0.414306
2.132765
0
4.65929
0.20986
0.17168
18.714963
18.561009
-0.414409