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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logrank_test
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BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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0
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WLg_PetoPrentice_test
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71.9
WLg_Prentice_test
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0
71.6
WKM_test
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1.110267
1.108417
0.110381
1.232693
0.312711
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3.466564
3.430581
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7,644
train
H1
H11
300
300
0
0
0
1.372058
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1.729752
2.347814
1.902513
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1.372058
0.169689
1.260421
1.656205
1.882868
0.316107
0.291147
1.373203
7,644
train
H0
H11
500
500
0
0
0
0.481974
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0.331746
0.349054
0.34655
0.481974
0.481974
0.629653
0.062235
0.159383
0.232231
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0.482215
7,644
train
H1
H11
500
500
0
0
0
0.890371
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1.103654
6.899555
2.688354
0.890371
0.890371
0.075169
0.007939
0.195334
0.793087
0.546003
0.612607
0.890816
7,644
train
H0
H11
1,000
1,000
0
0
0
1.31393
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3.080163
8.480303
3.253439
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1.75192
0.037061
3.077201
2.662165
1.726647
2.993755
3.126558
1.314258
7,644
train
H1
H11
1,000
1,000
0
0
0
0.18214
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1.157792
1.158899
5.89884
6.468816
7.069979
1.158899
1.157792
0.029159
1.343046
0.148474
0.033176
4.855096
4.850519
0.182185
7,644
train
H0
H11
20
20
10
15
15
0.705188
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0.963072
2.285186
0.779655
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0.747568
0.462665
0.195647
0.473507
0.557706
0.00517
0.001402
0.734466
7,644
train
H1
H11
20
20
10
5
15
-0.378084
0.341768
0.776788
0.806937
1.530064
2.572052
1.707398
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0.776788
0.425837
0.651147
0.328301
0.117085
1.763988
1.746062
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7,644
train
H0
H11
30
30
10
6.666667
10
-0.092927
0.081653
0.369795
0.367887
0.360094
0.625999
0.4553
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0.369795
0.796403
0.135341
0.055392
0.006643
0.480232
0.498053
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7,644
train
H1
H11
30
30
10
10
6.666667
-0.204368
0.25567
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5.165628
6.273872
4.7703
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0.632771
0.092075
0.417983
0.011826
0.065149
2.571957
2.365088
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7,644
train
H0
H11
50
50
10
12
12
-1.508119
1.501247
1.090844
1.094085
2.697316
2.887109
2.686408
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1.501247
0.128121
1.197022
1.948842
2.27664
0.067622
0.076341
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7,644
train
H1
H11
50
50
10
8
8
0.867991
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1.375205
1.398344
1.552696
0.867991
0.883601
0.372506
0.135864
0.455744
0.780807
0.10902
0.097131
0.89179
7,644
train
H0
H11
75
75
10
9.333333
8
0.582792
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0.444076
1.624594
0.351055
0.582792
0.586604
0.557242
0.325372
0.425871
0.343703
0.133409
0.202669
0.586943
7,644
train
H1
H11
75
75
10
10.666667
5.333333
-1.200225
1.186283
1.504183
1.503102
2.497648
3.953269
2.352285
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1.504183
0.231453
2.259316
1.669369
1.407552
2.302457
2.163863
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7,644
train
H0
H11
100
100
10
11
12
-1.567456
1.553019
1.497189
1.500458
2.406103
2.625272
2.504612
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1.553019
0.1172
2.251374
2.356699
2.41943
1.074475
1.079739
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7,644
train
H1
H11
100
100
10
7
10
0.217497
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0.344102
0.345784
1.925833
3.069472
1.557302
0.345784
0.344102
0.381037
0.119567
0.003393
0.061498
0.893979
0.79995
0.250816
7,644
train
H0
H11
150
150
10
7.333333
10
-0.79771
0.838403
0.026022
0.025986
3.330612
3.621446
2.947193
-0.79771
0.838403
0.2291
0.000675
0.36608
0.703747
0.800072
0.715971
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7,644
train
H1
H11
150
150
10
8
12
2.025875
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-0.645055
-0.65278
12.786791
13.374073
11.809133
2.025875
2.105328
0.002727
0.426121
2.656376
4.450891
1.026633
0.922366
2.11829
7,644
train
H0
H11
200
200
10
8
8.5
-1.580488
1.603029
0.893411
0.891619
3.263866
3.171276
3.721929
-1.580488
1.603029
0.10609
0.794984
1.767684
2.575955
0.017784
0.012585
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7,644
train
H1
H11
200
200
10
10
7
-0.77159
0.738499
1.523174
1.527406
4.357448
5.130686
4.151408
-0.77159
1.523174
0.125468
2.33297
1.106258
0.545328
4.174034
3.991139
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7,644
train
H0
H11
300
300
10
7.666667
14.333333
0.104962
-0.058832
-0.614223
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1.546909
1.712721
1.364486
-0.613693
0.614223
0.505482
0.37662
0.054336
0.00346
1.047739
1.018782
0.060045
7,644
train
H1
H11
300
300
10
10
12
0.759611
-0.789611
-0.03475
-0.034745
1.976261
2.023521
2.722622
0.759611
0.789611
0.256324
0.001207
0.17612
0.62382
0.664245
0.63318
0.796324
7,644
train
H0
H11
500
500
10
10.6
10.6
-0.330678
0.338105
0.113816
0.113634
0.286658
0.482569
0.273512
0.113634
0.338105
0.733644
0.012913
0.064894
0.114278
0.020695
0.012776
-0.340282
7,644
train
H1
H11
500
500
10
11.2
13.6
-0.954217
0.954157
0.878834
0.878984
0.98684
1.074732
0.913277
-0.954217
0.954157
0.336003
0.772614
0.986491
0.910608
0.3257
0.331888
-0.962094
7,644
train
H0
H11
1,000
1,000
10
11.1
8.6
-1.670411
1.616935
2.319386
2.323598
6.004127
6.796495
6.218955
2.323598
2.319386
0.044624
5.399107
3.866678
2.614756
6.095168
6.140323
-1.62598
7,644
train
H1
H11
1,000
1,000
10
10.3
11.5
1.263219
-1.349057
0.334159
0.33457
10.657519
10.455945
12.282437
0.33457
1.349057
0.002152
0.111937
0.430774
1.821044
4.192994
4.155553
1.359982
7,644
train
H0
H11
20
20
20
20
40
1.390471
-1.278337
-1.565005
-1.560419
2.579778
4.591597
2.511052
-1.560419
1.565005
0.179721
2.434908
1.833438
1.637924
1.851003
1.6173
1.341614
7,644
train
H1
H11
20
20
20
10
10
-1.247421
1.262984
0.961696
0.959859
1.487424
6.043764
1.784582
-1.247421
1.262984
0.1095
0.92133
1.210971
1.602423
0.123457
0.06886
-1.281551
7,644
train
H0
H11
30
30
20
26.666667
20
1.073766
-1.127331
-0.714913
-0.725084
2.027891
2.441218
1.850246
1.073766
1.127331
0.251503
0.525746
1.05433
1.274011
0.000147
0.006558
1.146707
7,644
train
H1
H11
30
30
20
16.666667
13.333333
0.249905
-0.346763
0.561339
0.571428
5.183925
7.243816
4.558423
0.571428
0.561339
0.064519
0.32653
0.000856
0.120093
2.341358
2.067051
0.340172
7,644
train
H0
H11
50
50
20
20
24
-0.15816
0.180731
0.164953
0.165207
0.029315
0.620512
0.02748
0.165207
0.180731
0.855405
0.027293
0.027079
0.032592
0.044983
0.038932
-0.182226
7,644
train
H1
H11
50
50
20
14
18
0.777557
-0.706886
-1.002707
-1.001936
1.095792
2.129612
1.12859
-1.001936
1.002707
0.473748
1.003876
0.710685
0.498778
1.0068
1.220349
0.716393
7,644
train
H0
H11
75
75
20
13.333333
16
1.214995
-1.152873
-1.575795
-1.595249
2.683237
4.669621
2.877799
-1.595249
1.575795
0.19765
2.544819
2.062815
1.332797
2.605345
2.94226
1.165423
7,644
train
H1
H11
75
75
20
16
25.333333
0.357425
-0.35211
-0.523721
-0.522334
0.304858
1.925315
0.378955
-0.522334
0.523721
0.588052
0.272832
0.239746
0.123708
0.311741
0.39641
0.356228
7,644
train
H0
H11
100
100
20
27
12
-1.262912
1.176909
1.702052
1.695963
3.472784
3.50193
3.436823
1.695963
1.702052
0.179351
2.87629
1.954547
1.383005
3.666724
3.602891
-1.194385
7,644
train
H1
H11
100
100
20
12
26
1.713164
-1.718185
-1.588749
-1.578259
2.688916
3.737527
2.939434
1.713164
1.718185
0.080065
2.490902
2.636443
2.95333
0.929324
0.875215
1.750307
7,644
train
H0
H11
150
150
20
24
18.666667
-0.643391
0.519
1.367485
1.370614
4.473476
4.679737
4.599505
1.370614
1.367485
0.100284
1.878583
0.781187
0.269244
4.165757
4.095529
-0.532798
7,644
train
H1
H11
150
150
20
20
19.333333
0.329789
-0.286676
-0.428553
-0.427623
0.184193
0.579144
0.205094
-0.427623
0.428553
0.770891
0.182861
0.153883
0.082159
0.182111
0.212803
0.29121
7,644
train
H0
H11
200
200
20
17
18.5
0.416324
-0.492696
0.281631
0.282495
3.33421
3.985936
2.964607
0.416324
0.492696
0.227114
0.079803
0.057568
0.242562
1.280877
1.203303
0.496548
7,644
train
H1
H11
200
200
20
20.5
23
0.64101
-0.678326
-0.20646
-0.205811
1.335588
1.289219
1.344136
-0.205811
0.678326
0.492485
0.042358
0.251197
0.459982
0.198887
0.148056
0.686362
7,644
train
H0
H11
300
300
20
17.666667
18.666667
-0.637854
0.643899
0.235891
0.235963
2.126452
12.811446
1.104988
0.235963
0.643899
0.005063
0.055679
0.419395
0.414434
0.122659
0.076684
-0.649793
7,644
train
H1
H11
300
300
20
18
20.333333
0.667276
-0.671638
-0.586463
-0.58579
0.41401
0.5479
0.449037
-0.58579
0.671638
0.495293
0.34315
0.391372
0.450862
0.093821
0.082286
0.681915
7,644
train
H0
H11
500
500
20
20.4
16.2
0.389483
-0.396883
-0.249494
-0.249646
0.370067
1.638724
0.215456
0.389483
0.396883
0.650642
0.062323
0.170917
0.157504
0.000064
0.000262
0.402298
7,644
train
H1
H11
500
500
20
18.2
19
0.751139
-0.870712
0.372387
0.372484
6.381953
7.201036
7.270896
0.372484
0.870712
0.026372
0.138744
0.130916
0.758448
2.883275
2.928389
0.879677
7,644
train
H0
H11
1,000
1,000
20
19.7
22
1.591046
-1.502021
-1.948286
-1.949913
4.178662
4.465164
4.059988
-1.949913
1.948286
0.128037
3.802161
2.756945
2.256102
3.665639
3.653033
1.521887
7,644
train
H1
H11
1,000
1,000
20
20.8
19.3
-0.553475
0.39462
1.699037
1.703148
8.261229
8.328451
9.234395
1.703148
1.699037
0.00988
2.900713
0.993122
0.155764
7.67582
7.591548
-0.399713