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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20
1k
perc
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0
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logrank_test
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0
109
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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float64
0
84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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10.7
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0.09332
0.603338
0.56451
0.308618
7,642
train
H1
H25
300
300
10
9.333333
8.333333
-1.080844
1.154786
-0.158159
-0.158242
4.384168
12.69132
7.1098
-1.080844
1.154786
0.005354
0.025041
0.270167
1.334835
2.370943
2.558026
-1.164736
7,642
train
H0
H25
500
500
10
9.6
9.4
0.243247
-0.240886
-0.167871
-0.167872
0.196412
3.373283
0.070426
-0.167872
0.240886
0.337573
0.028181
0.070081
0.057956
0.000907
0.004338
0.24342
7,642
train
H1
H25
500
500
10
8.8
8.4
-2.135348
2.14902
1.955394
1.9581
3.999483
8.297904
4.585246
-2.135348
2.14902
0.030023
3.834156
3.976402
4.624218
1.524335
1.441265
-2.169792
7,642
train
H0
H25
1,000
1,000
10
8.6
10
0.325625
-0.315853
-0.391771
-0.3914
0.186081
1.992993
0.155524
-0.3914
0.391771
0.573862
0.153194
0.173552
0.099717
0.122561
0.138972
0.318623
7,642
train
H1
H25
1,000
1,000
10
10
9.6
-1.370104
1.439486
0.034758
0.034759
6.54304
8.822407
8.633882
-1.370104
1.439486
0.013341
0.001208
0.673423
2.073433
2.254661
2.285499
-1.452296
7,642
train
H0
H25
20
20
20
35
25
-0.443755
0.529375
0.360833
0.352512
0.321118
2.201961
0.225581
0.352512
0.529375
0.531562
0.124265
0.299791
0.278252
0.014249
0.090052
-0.534578
7,642
train
H1
H25
20
20
20
35
25
0.99164
-1.100809
-0.607127
-0.60845
2.203696
4.277307
1.857305
-0.60845
1.100809
0.233035
0.370211
1.061596
1.230285
0.023535
0.003057
1.137829
7,642
train
H0
H25
30
30
20
16.666667
13.333333
-1.24454
1.177822
1.548371
1.57204
2.710169
2.687413
2.712345
-1.24454
1.548371
0.223407
2.47131
1.860426
1.393789
2.85939
2.773758
-1.217519
7,642
train
H1
H25
30
30
20
13.333333
10
-0.252354
0.286926
-0.302324
-0.304303
2.122285
2.969391
1.881768
-0.304303
0.302324
0.390283
0.0926
0.006277
0.086488
0.891605
0.762258
-0.298995
7,642
train
H0
H25
50
50
20
12
22
0.435798
-0.390193
-0.566197
-0.560492
0.32312
1.217537
0.347003
-0.560492
0.566197
0.689506
0.314152
0.23508
0.151662
0.256175
0.33613
0.399526
7,642
train
H1
H25
50
50
20
22
16
1.027666
-1.060317
-0.670307
-0.670138
1.893013
3.560316
1.549785
1.027666
1.060317
0.280341
0.449085
0.985856
1.125897
0.001484
0.011236
1.079554
7,642
train
H0
H25
75
75
20
28
13.333333
-2.842503
2.824787
2.594876
2.617244
8.702145
11.402099
8.147419
-2.842503
2.824787
0.003874
6.849967
8.522442
8.052053
1.981091
2.590441
-2.888221
7,642
train
H1
H25
75
75
20
14.666667
14.666667
-0.340037
0.417281
-0.380838
-0.382321
3.158501
3.348563
2.954983
-0.382321
0.417281
0.228209
0.146169
0.017847
0.173942
1.407506
1.304111
-0.415694
7,642
train
H0
H25
100
100
20
22
15
-0.858992
0.813711
1.004841
1.000352
1.010602
2.985726
1.015976
1.000352
1.004841
0.393831
1.000704
0.993542
0.661636
0.896293
1.003422
-0.830611
7,642
train
H1
H25
100
100
20
23
20
0.282635
-0.195792
-0.638001
-0.639171
0.673365
6.472346
1.065234
-0.639171
0.638001
0.09076
0.408539
0.240772
0.038319
0.888999
1.055748
0.199898
7,642
train
H0
H25
150
150
20
16
18
-1.419235
1.407205
1.365401
1.370209
2.090962
2.162225
2.056082
-1.419235
1.407205
0.150956
1.877472
2.095785
1.984225
0.925808
0.976884
-1.436164
7,642
train
H1
H25
150
150
20
19.333333
22.666667
0.470001
-0.401308
-0.771396
-0.776007
1.482442
8.459357
1.027158
0.470001
0.771396
0.037414
0.602187
0.194538
0.160882
1.001224
0.903716
0.410119
7,642
train
H0
H25
200
200
20
20.5
23.5
0.374983
-0.308417
-0.858882
-0.857209
1.953921
2.331911
1.732564
-0.857209
0.858882
0.420512
0.734807
0.232153
0.095044
1.521082
1.464113
0.320238
7,642
train
H1
H25
200
200
20
19
22.5
0.489574
-0.449601
-0.595523
-0.597772
0.388425
2.943946
0.37829
-0.597772
0.595523
0.400349
0.357331
0.438894
0.202313
0.353931
0.382428
0.458131
7,642
train
H0
H25
300
300
20
18
20
0.705147
-0.609119
-1.362994
-1.365253
3.634722
3.702064
3.563945
-1.365253
1.362994
0.168306
1.863915
0.811182
0.370924
3.321
3.331094
0.623309
7,642
train
H1
H25
300
300
20
23.333333
21
-0.617942
0.747989
-0.046521
-0.046546
2.06544
4.926618
2.734981
-0.046546
0.747989
0.17725
0.002167
0.149358
0.559663
0.827248
0.915292
-0.764076
7,642
train
H0
H25
500
500
20
16.6
22.4
2.537058
-2.526941
-2.38906
-2.388584
6.292212
6.921452
6.477858
2.537058
2.526941
0.00994
5.705333
6.272651
6.389251
2.525587
2.472476
2.577918
7,642
train
H1
H25
500
500
20
21.6
18.4
0.413061
-0.390427
-0.323746
-0.323767
0.549703
5.755675
0.186772
-0.323767
0.390427
0.124121
0.104825
0.283781
0.152491
0.017913
0.024177
0.397651
7,642
train
H0
H25
1,000
1,000
20
20.7
21.3
0.564597
-0.42524
-1.401779
-1.404803
5.016772
5.375241
5.142894
-1.404803
1.401779
0.076425
1.973472
0.670405
0.18072
4.49579
4.508992
0.433921
7,642
train
H1
H25
1,000
1,000
20
19.7
20.5
0.046671
0.09851
-0.815629
-0.816456
1.982481
8.328764
3.587354
-0.816456
0.815629
0.039684
0.6666
0.215244
0.009708
2.615425
2.623187
-0.101173
7,642
train
H0
H25
20
20
30
15
20
0.399107
-0.491168
0.171901
0.173666
2.817975
4.260711
2.524947
0.173666
0.491168
0.234653
0.03016
0.067357
0.240433
1.049584
0.858955
0.50329
7,642
train
H1
H25
20
20
30
25
25
0.687873
-0.69803
-0.757339
-0.760881
0.580679
1.157066
0.586549
-0.760881
0.757339
0.46218
0.57894
0.584611
0.487711
0.302487
0.366598
0.735261
7,642
train
H0
H25
30
30
30
30
43.333333
1.29548
-1.15825
-1.50747
-1.519391
2.725308
5.549035
2.594593
-1.519391
1.50747
0.135735
2.308548
1.597474
1.343311
2.132576
1.905444
1.226964
7,642
train
H1
H25
30
30
30
10
13.333333
0.619971
-0.616288
-0.867
-0.86476
0.774357
4.015106
0.901122
-0.86476
0.867
0.259838
0.74781
0.642367
0.379117
0.859788
1.171249
0.621795
7,642
train
H0
H25
50
50
30
26
34
0.667838
-0.586029
-1.055115
-1.055748
1.814754
2.700977
1.956
-1.055748
1.055115
0.376062
1.114605
0.684738
0.337676
1.631788
1.734377
0.621291
7,642
train
H1
H25
50
50
30
38
26
-1.932514
1.860625
2.045189
2.097067
4.436643
4.44487
4.433604
-1.932514
2.045189
0.055273
4.39769
3.992101
3.466686
3.924218
3.985221
-1.916727
7,642
train
H0
H25
75
75
30
32
34.666667
-0.303615
0.305246
0.242658
0.24192
0.070168
2.25687
0.11008
0.24192
0.305246
0.520834
0.058525
0.053309
0.093111
0.016664
0.008501
-0.313275
7,642
train
H1
H25
75
75
30
25.333333
24
0.308405
-0.262678
-0.387233
-0.384691
0.149992
0.62981
0.161098
0.308405
0.387233
0.789172
0.147987
0.120746
0.067807
0.109099
0.135968
0.267387
7,642
train
H0
H25
100
100
30
28
36
0.281621
-0.26411
-0.242248
-0.240926
0.121109
1.046801
0.082623
0.281621
0.26411
0.784103
0.058045
0.095775
0.069637
0.003522
0.013383
0.273976
7,642
train
H1
H25
100
100
30
35
30
0.945987
-0.748483
-1.458824
-1.50417
4.82722
5.307057
4.652237
-1.50417
1.458824
0.097674
2.262526
1.082808
0.555626
4.302887
4.207943
0.761469
7,642
train
H0
H25
150
150
30
26.666667
37.333333
1.433201
-1.29637
-1.692386
-1.687588
2.920961
3.672017
2.989965
-1.687588
1.692386
0.176891
2.847952
2.344602
1.677884
2.528513
2.582749
1.350391
7,642
train
H1
H25
150
150
30
29.333333
24.666667
-0.129534
0.10648
0.468062
0.467928
1.418345
6.79935
0.816848
-0.129534
0.468062
0.078576
0.218957
0.011318
0.011502
0.660216
0.537228
-0.115098
7,642
train
H0
H25
200
200
30
30.5
34.5
0.578602
-0.479894
-0.912362
-0.90996
1.6013
1.9954
1.481586
-0.90996
0.912362
0.476736
0.828027
0.381344
0.230161
1.363546
1.351936
0.49757
7,642
train
H1
H25
200
200
30
38.5
29
-1.370918
1.428973
1.174039
1.174811
1.824388
4.461171
2.012769
-1.370918
1.428973
0.140263
1.380182
1.681384
2.043663
0.368157
0.336381
-1.474813
7,642
train
H0
H25
300
300
30
28.333333
28.333333
0.055362
-0.088074
0.124753
0.124653
0.210849
0.462764
0.228894
0.055362
0.124753
0.891859
0.015538
0.000021
0.007754
0.135919
0.150185
0.090666
7,642
train
H1
H25
300
300
30
29
29.666667
0.286035
-0.150619
-0.863876
-0.868174
2.77305
2.615336
2.866833
0.286035
0.863876
0.238493
0.753727
0.208487
0.022688
2.219104
2.204433
0.153632
7,642
train
H0
H25
500
500
30
26.4
29.4
-0.332375
0.459916
-0.211652
-0.211673
1.701169
3.453044
2.004006
-0.211673
0.459916
0.326903
0.044805
0.0304
0.211581
0.843338
0.894309
-0.472399
7,642
train
H1
H25
500
500
30
28.2
27.6
0.762334
-0.675627
-1.057587
-1.060746
1.507379
1.653365
1.516182
-1.060746
1.057587
0.46856
1.125183
0.699936
0.456424
1.45931
1.488836
0.690211
7,642
train
H0
H25
1,000
1,000
30
29.2
29.7
1.116318
-0.997489
-1.22705
-1.227486
1.571148
6.387653
1.509921
-1.227486
1.22705
0.0942
1.506721
1.565662
0.994825
1.160765
1.184258
1.029868
7,642
train
H1
H25
1,000
1,000
30
30.2
33.1
0.304724
-0.0832
-0.948685
-0.948782
2.864408
7.082612
3.479934
-0.948782
0.948685
0.069311
0.900188
0.251594
0.006907
2.743798
2.810585
0.086761