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
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
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train
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train
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train
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train
H1
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0.170499
0.061784
0.266506
2.006087
1.846874
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8
train
H0
H09
500
500
30
30
27.6
0.317421
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0.576916
0.576681
4.29898
4.939781
4.404035
0.317421
0.576916
0.11058
0.332561
0.015115
0.247066
2.483631
2.520635
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8
train
H1
H09
500
500
30
29.2
26.2
0.338438
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0.599918
4.631655
0.299147
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0.481365
0.200843
0.232542
0.081443
0.187096
0.306966
0.290337
0.452261
8
train
H0
H09
1,000
1,000
30
33.5
31.4
-0.704111
0.72517
0.52782
0.527538
0.648586
1.407475
0.584978
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0.72517
0.444975
0.278296
0.460711
0.526122
0.023716
0.041335
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8
train
H1
H09
1,000
1,000
30
32.8
30.6
0.537412
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7.688132
18.176152
5.624372
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1.37269
0.000405
1.900061
0.362425
0.227514
5.006975
4.867899
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8
train
H0
H09
20
20
40
50
30
0.00169
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0.107644
0.105033
0.056917
1.488574
0.108237
0.00169
0.144687
0.68491
0.011032
0.000025
0.015977
0.196114
0.303718
0.134452
8
train
H1
H09
20
20
40
30
40
1.215451
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2.171197
5.054267
2.080566
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1.407926
0.157362
1.980479
1.672585
1.570129
1.479496
1.314838
1.414001
8
train
H0
H09
30
30
40
53.333333
36.666667
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0.257597
0.740413
0.737968
1.447759
1.786955
1.363982
0.737968
0.740413
0.505609
0.544597
0.206644
0.07793
1.597369
1.515912
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8
train
H1
H09
30
30
40
66.666667
40
-0.477222
0.40872
0.401276
0.400219
0.295159
0.751138
0.253806
0.400219
0.40872
0.657692
0.160175
0.230214
0.169257
0.120351
0.222765
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8
train
H0
H09
50
50
40
46
40
0.929929
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1.940084
7.123363
2.529258
0.929929
1.237296
0.068068
0.205851
0.756877
1.545636
0.249328
0.3906
1.319921
8
train
H1
H09
50
50
40
40
42
0.026768
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0.117257
0.116743
0.247475
1.947917
0.177456
0.116743
0.174094
0.583287
0.013629
0.005952
0.028722
0.122944
0.064268
0.165586
8
train
H0
H09
75
75
40
30.666667
38.666667
0.780716
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1.01823
3.64252
0.933707
0.780716
0.934285
0.302743
0.863083
0.567072
0.521151
0.747158
0.596191
0.760709
8
train
H1
H09
75
75
40
44
40
0.823373
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0.836294
5.897028
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0.88592
0.116729
0.834875
0.768655
0.503796
0.664943
0.765056
0.76281
8
train
H0
H09
100
100
40
38
42
0.456997
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0.337454
0.487038
0.333442
0.456997
0.555861
0.670759
0.30498
0.231464
0.157949
0.24286
0.198096
0.425106
8
train
H1
H09
100
100
40
38
35
-1.761388
1.952751
0.798002
0.800384
9.576758
12.016968
8.599715
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1.952751
0.007325
0.640615
2.744368
3.828024
1.27245
1.048857
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8
train
H0
H09
150
150
40
40.666667
38
-1.587777
1.614537
1.35058
1.349055
2.723169
2.854
2.639393
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1.614537
0.083616
1.819951
2.524869
2.609236
0.39387
0.443151
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8
train
H1
H09
150
150
40
45.333333
38
-0.930631
0.732661
0.792554
0.792582
1.169018
5.9114
0.913389
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0.792554
0.116001
0.628186
0.856074
0.539273
0.117412
0.151503
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8
train
H0
H09
200
200
40
37
35.5
0.356916
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0.195002
0.807956
0.211473
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0.438784
0.813349
0.192468
0.186922
0.050549
0.168536
0.193196
0.236107
8
train
H1
H09
200
200
40
44
46.5
1.210096
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1.60537
3.625802
1.601989
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1.265999
0.184717
1.598833
1.369404
1.497436
0.970074
0.839288
1.326372
8
train
H0
H09
300
300
40
39.666667
34.666667
-0.57437
0.330663
1.141482
1.139624
2.678531
2.585417
2.818898
1.139624
1.141482
0.244278
1.298743
0.452712
0.110094
2.800533
2.717219
-0.356931
8
train
H1
H09
300
300
40
39.666667
40.333333
2.636292
-2.900492
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7.668553
8.903908
8.509496
2.636292
2.900492
0.001946
4.000738
6.471703
8.447417
0.270841
0.284878
3.098353
8
train
H0
H09
500
500
40
41
40.2
-0.655454
0.677556
0.547842
0.547149
0.455485
0.581651
0.46131
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0.677556
0.467387
0.299372
0.429988
0.459669
0.068288
0.058521
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8
train
H1
H09
500
500
40
41.6
40
-0.008508
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0.573495
8.131956
0.174285
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0.139459
0.043362
0.019437
0.003967
0.014874
0.115744
0.07833
0.130833
8
train
H0
H09
1,000
1,000
40
41.6
40.4
1.264373
-1.272452
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2.484597
2.723069
2.242864
1.264373
1.272452
0.173855
0.7709
1.53373
1.618546
0.002906
0.002277
1.35992
8
train
H1
H09
1,000
1,000
40
42
37.3
-1.621913
1.348112
1.726367
1.726398
3.191308
12.294141
2.981434
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1.726367
0.006441
2.98045
3.013076
1.818972
1.964783
2.068265
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8
train
H0
H09
20
20
50
45
25
-0.340433
0.439287
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1.635745
2.886492
1.80778
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0.439287
0.404991
0.009615
0.043398
0.241952
0.479171
0.505114
-0.558883
8
train
H1
H09
20
20
50
50
60
1.285759
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2.097329
3.414814
2.213028
1.285759
1.544472
0.073088
1.052471
1.844397
2.413077
0.002331
0.004241
1.792282
8
train
H0
H09
30
30
50
50
53.333333
0.303916
-0.332065
-0.28912
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0.095747
0.145215
0.092199
0.303916
0.332065
0.726968
0.082193
0.126594
0.103045
0.000983
0.005543
0.349162
8
train
H1
H09
30
30
50
43.333333
40
0.412697
-0.27319
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1.728479
2.186585
1.637807
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0.774988
0.440915
0.616623
0.243641
0.069405
1.090377
1.004805
0.321643
8
train
H0
H09
50
50
50
60
42
-1.48613
1.829276
0.964483
0.973673
4.24406
5.551865
4.544987
0.973673
1.829276
0.041794
0.948039
2.185784
3.410549
0.090694
0.092279
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8
train
H1
H09
50
50
50
48
44
-0.153382
0.225379
-0.069469
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0.6316
1.189376
0.548434
-0.069326
0.225379
0.755553
0.004806
0.025439
0.054795
0.14929
0.119356
-0.249653
8
train
H0
H09
75
75
50
62.666667
65.333333
1.527646
-1.612392
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2.461559
3.417049
2.502283
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1.612392
0.079426
2.073575
2.405123
2.55934
0.441252
0.419084
1.754024
8
train
H1
H09
75
75
50
53.333333
49.333333
0.561553
-0.980778
-0.118456
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2.093226
8.901259
2.515311
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0.980778
0.030633
0.013943
0.286412
0.948087
0.707501
0.764928
1.043462
8
train
H0
H09
100
100
50
48
47
0.612468
-0.460664
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0.917367
1.022302
0.88791
0.612468
0.808042
0.617569
0.656816
0.376376
0.210704
0.714435
0.67951
0.499299
8
train
H1
H09
100
100
50
43
46
0.372366
-0.175183
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0.746255
2.581936
0.908134
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0.647718
0.460665
0.414504
0.168152
0.029486
0.757712
0.937646
0.194233
8
train
H0
H09
150
150
50
46
47.333333
-0.564722
0.372773
0.668463
0.670093
0.451657
2.852004
0.489365
0.670093
0.668463
0.41501
0.449024
0.319237
0.139512
0.507379
0.578428
-0.406624
8
train
H1
H09
150
150
50
45.333333
45.333333
1.188386
-1.1907
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1.480749
1.525067
1.497577
1.188386
1.1907
0.207727
1.085128
1.334394
1.414949
0.206508
0.201047
1.259841
8
train
H0
H09
200
200
50
52
49.5
-0.298704
0.014217
0.710145
0.712787
2.098184
2.640144
2.229769
0.712787
0.710145
0.327953
0.508065
0.069846
0.000237
1.895278
1.925916
-0.016023
8
train
H1
H09
200
200
50
48
50
1.528232
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3.060205
3.106545
3.052018
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1.708975
0.11722
2.959315
2.425265
2.027309
2.324549
2.281994
1.566549
8
train
H0
H09
300
300
50
54
48
-0.787084
0.819347
0.339696
0.340052
3.005008
8.421614
2.370131
-0.787084
0.819347
0.038056
0.115635
0.659463
0.673869
0.38733
0.310744
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8
train
H1
H09
300
300
50
52
50
-0.484792
0.693037
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2.912618
3.156779
2.778192
-0.013143
0.693037
0.249301
0.000173
0.227343
0.482709
0.892879
0.873355
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8
train
H0
H09
500
500
50
51
48.4
-1.836368
1.576388
2.128315
2.141626
5.079276
6.600327
4.967153
-1.836368
2.128315
0.083444
4.586561
3.35899
2.489002
4.615695
4.47512
-1.703133
8
train
H1
H09
500
500
50
49.6
51.6
1.96448
-2.377477
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4.764139
9.463131
5.620976
1.96448
2.377477
0.009582
2.124196
3.692026
5.649842
0.026601
0.024879
2.590559
8
train
H0
H09
1,000
1,000
50
51.4
51
-0.374162
0.21913
0.536683
0.536524
0.428206
0.620363
0.463708
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0.536683
0.793062
0.287858
0.139764
0.048311
0.501355
0.514043
-0.239441
8
train
H1
H09
1,000
1,000
50
48.8
49.8
2.340642
-2.424268
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5.624784
11.526545
5.709021
2.340642
2.424268
0.008442
5.621811
5.390755
5.882638
3.191949
3.138077
2.633846