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
int64
20
1k
perc
int64
0
50
real_perc1
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95
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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
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143
BN_SCE_test
float64
0
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Q_test
float64
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MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
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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10.7
2
train
H0
H15
20
20
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train
H1
H15
20
20
30
30
20
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train
H0
H15
30
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train
H1
H15
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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
H15
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train
H1
H15
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train
H0
H15
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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
H15
300
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train
H0
H15
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train
H1
H15
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train
H0
H15
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train
H1
H15
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train
H0
H15
20
20
40
35
50
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train
H1
H15
20
20
40
50
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train
H0
H15
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train
H1
H15
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train
H0
H15
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train
H1
H15
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train
H0
H15
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train
H1
H15
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train
H0
H15
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33
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train
H1
H15
100
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train
H0
H15
150
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train
H1
H15
150
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train
H0
H15
200
200
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train
H1
H15
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train
H0
H15
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train
H1
H15
300
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train
H0
H15
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train
H1
H15
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train
H0
H15
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train
H1
H15
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39.6
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train
H0
H15
20
20
50
50
40
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train
H1
H15
20
20
50
35
70
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train
H0
H15
30
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56.666667
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train
H1
H15
30
30
50
50
53.333333
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train
H0
H15
50
50
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42
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train
H1
H15
50
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train
H0
H15
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train
H1
H15
75
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train
H0
H15
100
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48
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train
H1
H15
100
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43
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train
H0
H15
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train
H1
H15
150
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train
H0
H15
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52
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train
H1
H15
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train
H0
H15
300
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train
H1
H15
300
300
50
51
51.333333
1.289355
-1.38229
-1.001186
-1.000835
2.532948
3.419656
2.692882
-1.000835
1.38229
0.150013
1.00167
1.444021
1.913627
0.012163
0.024218
1.439485
2
train
H0
H15
500
500
50
52.6
50.2
-0.127953
0.030898
0.229675
0.229371
0.159235
1.124114
0.20636
0.229371
0.229675
0.771256
0.052611
0.024621
0.000954
0.202764
0.200561
-0.031947
2
train
H1
H15
500
500
50
49
47
1.85893
-2.193595
-1.160534
-1.161946
7.62823
13.685053
8.768322
1.85893
2.193595
0.003367
1.350119
3.015277
4.825575
0.27002
0.31475
2.279034
2
train
H0
H15
1,000
1,000
50
47
50.9
1.402679
-1.379445
-1.405829
-1.40559
1.983063
4.134241
2.004293
-1.40559
1.405829
0.154048
1.975684
1.823953
1.902814
1.128925
1.111018
1.425378
2
train
H1
H15
1,000
1,000
50
47.9
49.7
2.905469
-3.514928
-1.678366
-1.678467
25.525034
28.838508
26.824421
2.905469
3.514928
0.000001
2.81725
7.757261
12.370737
1.315307
1.27694
3.657564
2
train
H0
H16
20
20
0
0
0
-1.244304
1.244304
1.455902
1.471766
2.20253
2.277794
2.196852
1.471766
1.455902
0.207613
2.166096
1.869232
1.549899
2.078635
2.097385
-1.260156
2
train
H1
H16
20
20
0
0
0
-0.838553
0.838553
1.029364
1.027588
1.171925
2.415376
1.092309
-0.838553
1.029364
0.39575
1.055938
0.801357
0.700565
1.104598
0.999061
-0.849235
2
train
H0
H16
30
30
0
0
0
-1.094047
1.094047
1.228382
1.225816
1.502879
1.507987
1.502866
1.225816
1.228382
0.269906
1.502625
1.342097
1.194525
1.218422
1.258707
-1.10328
2
train
H1
H16
30
30
0
0
0
0.680084
-0.680084
0.221264
0.223726
4.885116
7.516222
4.045996
0.680084
0.680084
0.057143
0.050053
0.140057
0.461757
1.336261
1.121277
0.685823
2
train
H0
H16
50
50
0
0
0
0.179239
-0.179239
-0.171273
-0.169192
0.029395
0.747959
0.032711
-0.169192
0.179239
0.857041
0.028626
0.027219
0.032012
0.004945
0.00011
0.180142
2
train
H1
H16
50
50
0
0
0
-1.847544
1.847544
1.110575
1.10747
4.791083
4.812937
4.560397
-1.847544
1.847544
0.063332
1.226489
2.703761
3.437542
0.005147
0.000701
-1.856851
2
train
H0
H16
75
75
0
0
0
-0.847593
0.847593
0.848475
0.842061
0.743582
0.913065
0.762436
-0.847593
0.848475
0.398254
0.709068
0.742798
0.717841
0.410175
0.392019
-0.844744
2
train
H1
H16
75
75
0
0
0
1.00546
-1.00546
-1.778273
-1.806117
4.314914
4.989107
4.854088
-1.806117
1.778273
0.088297
3.262058
2.014879
1.013358
4.69958
4.778517
1.00208
2
train
H0
H16
100
100
0
0
0
0.188141
-0.188141
0.236055
0.234362
0.745404
0.735282
0.691719
0.234362
0.236055
0.707612
0.054926
0.001734
0.035324
0.418019
0.38312
0.188613
2
train
H1
H16
100
100
0
0
0
-0.647498
0.647498
-0.861569
-0.879383
11.786674
12.596501
10.685308
-0.647498
0.861569
0.004783
0.773315
0.006108
0.419313
5.759625
5.522607
-0.649123
2
train
H0
H16
150
150
0
0
0
0.162396
-0.162396
-0.061777
-0.061477
0.004213
1.341298
0.052405
0.162396
0.162396
0.719351
0.003779
0.004119
0.026337
0.008104
0.01921
0.162668
2
train
H1
H16
150
150
0
0
0
1.637273
-1.637273
-1.998004
-2.01978
4.343232
6.623915
4.162368
1.637273
1.998004
0.084902
4.079512
3.176586
2.685141
3.493191
3.372343
1.640009
2
train
H0
H16
200
200
0
0
0
-0.801804
0.801804
1.561777
1.572299
3.440028
6.224922
3.890376
1.572299
1.561777
0.101166
2.472126
1.341492
0.642678
3.908712
4.185862
-0.802808
2
train
H1
H16
200
200
0
0
0
-0.550105
0.550105
-0.100266
-0.100138
1.984115
2.328385
1.692335
-0.550105
0.550105
0.429056
0.010028
0.117186
0.302386
0.51946
0.458359
-0.550794
2
train
H0
H16
300
300
0
0
0
0.71641
-0.71641
-0.734657
-0.733562
0.602755
0.65698
0.56356
0.71641
0.734657
0.47337
0.538113
0.598326
0.513053
0.291784
0.286444
0.717007
2
train
H1
H16
300
300
0
0
0
-1.248182
1.248182
0.2886
0.289466
5.572761
8.142617
4.231895
-1.248182
1.248182
0.043154
0.083791
0.994309
1.558087
0.629377
0.55047
-1.249224
2
train
H0
H16
500
500
0
0
0
-1.177015
1.177015
0.500705
0.501281
1.331304
10.747274
2.502021
-1.177015
1.177015
0.013174
0.251283
0.736291
1.385591
0.108078
0.139878
-1.177604
2
train
H1
H16
500
500
0
0
0
-0.628471
0.628471
-0.075081
-0.075029
2.132887
2.151299
1.960231
-0.628471
0.628471
0.375268
0.005629
0.149474
0.394884
0.569266
0.53043
-0.628786
2
train
H0
H16
1,000
1,000
0
0
0
-1.252365
1.252365
1.376394
1.376931
1.904294
2.838278
1.909412
-1.252365
1.376394
0.210323
1.895939
1.671526
1.568479
1.302385
1.278663
-1.252678
2
train
H1
H16
1,000
1,000
0
0
0
1.579163
-1.579163
-2.557577
-2.564699
6.884823
11.607704
8.274931
-2.564699
2.557577
0.008855
6.577679
4.894911
2.495544
8.359586
8.556228
1.579558
2
train
H0
H16
20
20
10
10
10
-0.295559
0.342508
-0.337882
-0.33788
2.103393
2.731318
2.324064
-0.33788
0.342508
0.31285
0.114163
0.002318
0.116779
1.133482
1.093398
-0.331059
2
train
H1
H16
20
20
10
10
5
-0.659855
0.690685
0.459763
0.451016
0.652137
1.236621
0.552025
-0.659855
0.690685
0.482735
0.203415
0.422258
0.47403
0.032199
0.099058
-0.701911
2
train
H0
H16
30
30
10
13.333333
10
-0.325496
0.325194
0.238238
0.234758
0.16539
0.441462
0.125712
-0.325496
0.325194
0.743207
0.055111
0.100139
0.105069
0.022637
0.033904
-0.327609
2
train
H1
H16
30
30
10
20
10
-1.379953
1.368949
1.551401
1.553926
2.425864
2.45472
2.422515
-1.379953
1.551401
0.15887
2.414686
2.17829
1.877586
2.06633
2.162771
-1.408883
2
train
H0
H16
50
50
10
6
6
-0.552398
0.572715
0.025218
0.024894
1.113496
1.02352
1.326124
0.024894
0.572715
0.515271
0.00062
0.112998
0.327549
0.27819
0.245195
-0.576351
2
train
H1
H16
50
50
10
16
8
-0.307956
0.304114
0.413742
0.409077
0.22702
0.760481
0.186484
-0.307956
0.413742
0.754005
0.167344
0.099145
0.09217
0.243825
0.191829
-0.313363
2
train
H0
H16
75
75
10
8
13.333333
1.273397
-1.294899
-0.894028
-0.89382
2.391605
3.712575
1.968591
-0.89382
1.294899
0.194737
0.798915
1.532089
1.676518
0.04955
0.084605
1.296691
2
train
H1
H16
75
75
10
10.666667
22.666667
1.746828
-1.661581
-2.158531
-2.183672
5.30704
5.514858
5.275768
-2.183672
2.158531
0.071512
4.768423
3.5793
2.762286
4.89153
5.100991
1.679483
2
train
H0
H16
100
100
10
13
8
0.761978
-0.762111
-0.723005
-0.720152
0.608088
0.699687
0.588715
0.761978
0.762111
0.440427
0.518619
0.632083
0.580962
0.197165
0.192118
0.771473
2
train
H1
H16
100
100
10
4
9
1.004484
-0.98617
-1.36929
-1.369577
2.218094
2.576481
2.106802
1.004484
1.36929
0.320175
1.87574
1.279236
0.971462
1.899468
1.854874
0.994098
2
train
H0
H16
150
150
10
16.666667
12.666667
0.309128
-0.327994
-0.036292
-0.036143
0.358944
0.384884
0.422539
0.309128
0.327994
0.74046
0.001306
0.040768
0.10746
0.114237
0.115439
0.331245
2
train
H1
H16
150
150
10
7.333333
9.333333
0.870775
-0.851901
-1.188272
-1.187755
1.457956
1.809657
1.575231
-1.187755
1.188272
0.389809
1.410763
1.156961
0.726152
1.450683
1.495975
0.859963
2
train
H0
H16
200
200
10
12.5
9.5
-0.33151
0.328327
0.400081
0.399205
0.159505
0.16926
0.162922
-0.33151
0.400081
0.739779
0.159365
0.155357
0.107719
0.162924
0.156628
-0.332146
2
train
H1
H16
200
200
10
11
15
1.625304
-1.549915
-2.33894
-2.362856
7.272629
7.338453
7.171806
-2.362856
2.33894
0.027712
5.583089
3.583565
2.405125
7.021305
6.917323
1.563818
2
train
H0
H16
300
300
10
11.333333
14
1.18437
-1.109324
-1.973823
-1.988099
6.055714
6.053092
5.953983
-1.988099
1.973823
0.050946
3.952537
2.164516
1.230596
5.776417
5.708495
1.11832
2
train
H1
H16
300
300
10
10
10.666667
0.227741
-0.216194
-0.540743
-0.540864
0.600992
0.925954
0.633761
-0.540864
0.540743
0.728418
0.292534
0.137216
0.04673
0.565811
0.504896
0.218134
2
train
H0
H16
500
500
10
7.4
8.2
0.001832
0.029115
-0.489446
-0.489173
0.616017
4.79119
1.105947
0.001832
0.489446
0.187742
0.23929
0.05992
0.000848
0.81315
0.883868
-0.028975
2
train
H1
H16
500
500
10
8.2
9.6
0.356368
-0.339742
-0.831365
-0.831327
1.477002
1.564906
1.374817
0.356368
0.831365
0.502878
0.691104
0.281109
0.115397
1.25354
1.25119
0.342983
2
train
H0
H16
1,000
1,000
10
10.3
11
-1.31954
1.336597
0.993162
0.992801
1.75428
2.606666
1.908848
-1.31954
1.336597
0.178014
0.985654
1.520886
1.786899
0.129583
0.117419
-1.346896
2
train
H1
H16
1,000
1,000
10
10.6
11.7
-0.255084
0.372785
-1.429629
-1.433185
12.004141
16.068153
13.99705
-1.433185
1.429629
0.000913
2.05402
0.155041
0.139006
9.1467
9.202919
-0.375153