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
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0
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logrank_test
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BN_GPH_test
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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
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
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train
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train
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train
H0
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7,647
train
H1
H12
300
300
30
23.333333
28.333333
0.722378
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1.41606
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7,647
train
H0
H12
500
500
30
32.2
25.8
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2.7656
2.506125
2.505169
6.975255
10.683557
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6.275871
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2.240788
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7,647
train
H1
H12
500
500
30
28.4
29
1.530422
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9.134445
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11.01644
1.530422
1.826941
0.001498
0.109157
1.370361
3.340007
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1.877499
7,647
train
H0
H12
1,000
1,000
30
28.8
30.4
0.260966
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0.507255
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7,647
train
H1
H12
1,000
1,000
30
31
32.7
0.346201
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0.346201
0.366837
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7,647
train
H0
H12
20
20
40
35
35
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1.22962
1.266509
2.431408
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1.604045
1.982341
2.088395
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7,647
train
H1
H12
20
20
40
35
40
0.381131
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0.70717
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0.392328
0.610256
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7,647
train
H0
H12
30
30
40
36.666667
26.666667
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0.554613
0.292427
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7,647
train
H1
H12
30
30
40
40
33.333333
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0.327263
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7,647
train
H0
H12
50
50
40
26
46
0.725412
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6.235277
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0.100708
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0.500962
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1.634831
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7,647
train
H1
H12
50
50
40
32
32
0.288529
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0.1166
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0.288529
0.33549
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0.111187
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7,647
train
H0
H12
75
75
40
44
37.333333
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0.941986
1.058611
1.058389
1.121695
1.177653
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1.058611
0.330232
1.120187
1.030417
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1.011742
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7,647
train
H1
H12
75
75
40
48
37.333333
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1.102781
1.10115
1.213665
1.628172
1.218357
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1.102781
0.319827
1.212532
1.116124
0.905391
0.879014
0.949001
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7,647
train
H0
H12
100
100
40
37
41
0.459456
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0.750511
1.172694
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0.206527
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7,647
train
H1
H12
100
100
40
36
37
-0.010107
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0.469754
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0.490978
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0.217174
0.782322
0.046624
0.001949
0.007074
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7,647
train
H0
H12
150
150
40
39.333333
47.333333
2.176681
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5.087224
5.702874
5.091935
2.176681
2.240418
0.026373
5.085845
4.895353
4.505845
3.404374
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2.220675
7,647
train
H1
H12
150
150
40
37.333333
40
0.701513
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0.453759
5.615589
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0.701513
0.74552
0.131886
0.452944
0.406274
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0.775203
7,647
train
H0
H12
200
200
40
39.5
43
-0.947321
1.019856
0.70592
0.708073
1.386342
1.847262
1.29865
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1.019856
0.285421
0.501368
0.915339
1.042295
0.015474
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7,647
train
H1
H12
200
200
40
38.5
45.5
0.113705
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0.912019
1.890709
0.775013
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0.378733
0.595397
0.143126
0.008322
0.000111
0.55072
0.488838
0.01207
7,647
train
H0
H12
300
300
40
42
41.333333
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0.661426
0.40752
0.407206
0.797276
1.000594
0.727161
0.407206
0.661426
0.490752
0.165816
0.371617
0.4373
0.003302
0.003821
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7,647
train
H1
H12
300
300
40
42.666667
41
-1.341307
1.297555
1.32738
1.335364
1.846858
1.895768
1.836988
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1.32738
0.175272
1.783196
1.863008
1.683361
1.031228
1.049405
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7,647
train
H0
H12
500
500
40
39
44.6
1.092346
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1.354318
2.790236
1.224285
1.092346
1.059166
0.267983
0.955913
1.263693
1.121623
0.274531
0.299943
1.107719
7,647
train
H1
H12
500
500
40
38.8
42.8
0.816219
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3.041925
3.107606
3.192931
0.816219
1.026931
0.202611
0.074225
0.526614
1.054468
0.538121
0.519538
1.075047
7,647
train
H0
H12
1,000
1,000
40
41.5
38.7
0.46769
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0.858265
0.963433
0.798894
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0.568448
0.555605
0.040271
0.225545
0.323157
0.097055
0.095576
0.589381
7,647
train
H1
H12
1,000
1,000
40
39.5
39.8
0.538016
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2.055504
2.989182
2.406421
0.538016
0.741396
0.300229
0.00089
0.17214
0.54968
0.691003
0.686539
0.771221
7,647
train
H0
H12
20
20
50
20
55
1.57203
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2.438018
2.588041
2.454748
1.57203
1.583781
0.095869
2.200313
2.517718
2.501251
0.87115
0.912311
1.665219
7,647
train
H1
H12
20
20
50
55
25
-2.808792
2.752845
2.814996
2.919252
8.52411
9.901374
8.533221
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2.814996
0.003434
8.522034
8.116544
7.701556
5.896612
5.909283
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7,647
train
H0
H12
30
30
50
40
33.333333
0.730148
-0.900216
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2.13
2.994021
2.290952
0.730148
0.900216
0.318072
0.074341
0.392658
0.816799
0.36958
0.371868
0.91987
7,647
train
H1
H12
30
30
50
56.666667
56.666667
-0.093291
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0.25107
0.248166
0.48648
1.583687
0.536867
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0.25107
0.663094
0.061587
0.006821
0.004878
0.421144
0.511309
0.06131
7,647
train
H0
H12
50
50
50
38
62
2.376288
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9.231258
10.271431
9.107111
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2.676354
0.01053
7.588353
5.645944
4.490704
8.215263
8.048887
2.266408
7,647
train
H1
H12
50
50
50
38
44
1.340805
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2.968066
3.001229
2.914418
1.340805
1.455841
0.125032
0.913477
1.65698
2.12447
0.001099
0.005825
1.533992
7,647
train
H0
H12
75
75
50
42.666667
50.666667
0.602114
-0.641035
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0.696732
3.929213
0.555567
0.602114
0.641035
0.26921
0.204316
0.453415
0.410175
0.000255
0.006286
0.678459
7,647
train
H1
H12
75
75
50
48
53.333333
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0.845466
0.602641
0.603732
0.579877
2.832711
0.710663
0.603732
0.845466
0.365809
0.364492
0.484716
0.717253
0.042555
0.017827
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7,647
train
H0
H12
100
100
50
47
69
1.672799
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2.784943
3.371447
2.810844
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1.686094
0.069762
2.650046
2.781022
2.841957
1.166704
1.136934
1.813454
7,647
train
H1
H12
100
100
50
57
57
0.286483
-0.521779
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1.116288
1.722016
1.173168
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0.521779
0.556224
0.00331
0.102786
0.272043
0.399723
0.39349
0.546205
7,647
train
H0
H12
150
150
50
45.333333
48.666667
-0.496288
0.53336
0.481347
0.482905
0.235503
1.622143
0.247444
0.482905
0.53336
0.575113
0.233197
0.235817
0.284567
0.145897
0.141146
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7,647
train
H1
H12
150
150
50
48.666667
56
-0.252401
0.399022
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2.225227
11.734971
1.721087
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0.399022
0.008348
0.007274
0.155531
0.159623
0.845624
0.606638
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7,647
train
H0
H12
200
200
50
50.5
44.5
0.256897
-0.211531
-0.170963
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0.23065
3.405043
0.125764
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0.211531
0.333288
0.029393
0.069277
0.044752
0.001847
0.000085
0.22217
7,647
train
H1
H12
200
200
50
47
48.5
-0.044537
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0.465268
0.467293
2.154129
2.889091
2.310886
-0.044537
0.465268
0.314918
0.218363
0.004969
0.056956
1.497426
1.52363
0.254402
7,647
train
H0
H12
300
300
50
46
45.666667
0.874587
-0.961429
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1.004197
1.133439
0.963663
0.874587
0.961429
0.31734
0.507962
0.838998
0.92535
0.039609
0.039852
0.999939
7,647
train
H1
H12
300
300
50
56.333333
50
-1.109739
0.683386
1.563737
1.562283
4.516599
8.768636
4.939161
1.562283
1.563737
0.032531
2.440728
1.20805
0.467376
4.594982
5.015228
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7,647
train
H0
H12
500
500
50
51.8
50.4
-0.028368
0.082719
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0.173096
0.171545
0.198153
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0.09269
0.905673
0.008587
0.001135
0.006867
0.089467
0.076487
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7,647
train
H1
H12
500
500
50
50.6
50.2
1.112528
-1.795723
-0.298858
-0.29908
7.316534
27.224655
9.1678
-0.29908
1.795723
0.000005
0.089449
1.119234
3.225495
1.773562
1.950651
1.890236
7,647
train
H0
H12
1,000
1,000
50
50.6
49.2
0.276773
-0.346506
-0.123415
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0.384815
0.560678
0.33883
0.276773
0.346506
0.715388
0.015234
0.099098
0.120067
0.056258
0.05604
0.364629
7,647
train
H1
H12
1,000
1,000
50
49.6
46.6
-1.190841
0.662739
1.953301
1.954901
8.944149
13.188655
9.709748
1.954901
1.953301
0.004246
3.821639
1.649158
0.439367
8.94976
9.004831
-0.6966