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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0
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logrank_test
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CoxMantel_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
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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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1.353404
7,644
train
H1
H27
300
300
0
0
0
1.47992
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3.212486
14.551849
2.82494
1.47992
1.667997
0.002243
2.82466
1.991548
2.191546
2.079577
1.95812
1.481155
7,644
train
H0
H27
500
500
0
0
0
1.214023
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1.628134
1.62299
1.668607
1.214023
1.273033
0.224507
1.620766
1.521129
1.474046
0.96687
1.009236
1.21463
7,644
train
H1
H27
500
500
0
0
0
4.11813
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14.249638
35.927248
21.501331
4.11813
4.11813
0
6.520825
11.109764
17.064029
0.177352
0.147244
4.12019
7,644
train
H0
H27
1,000
1,000
0
0
0
0.114921
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2.685208
3.946052
2.081088
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0.812319
0.267349
0.661036
0.104335
0.013204
1.664142
1.608624
0.11495
7,644
train
H1
H27
1,000
1,000
0
0
0
3.887891
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12.650717
44.800491
15.238675
3.887891
3.887891
0
12.57135
12.027129
15.152693
5.313171
5.200305
3.888863
7,644
train
H0
H27
20
20
10
10
10
0.213572
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0.107563
0.106717
0.445243
1.653225
0.590624
0.213572
0.217888
0.647383
0.011389
0.002648
0.047093
0.359348
0.390167
0.218693
7,644
train
H1
H27
20
20
10
20
20
0.491267
-0.491668
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0.485621
1.09303
0.434773
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0.623455
0.603946
0.385451
0.269519
0.241084
0.301935
0.281717
0.518734
7,644
train
H0
H27
30
30
10
16.666667
13.333333
-1.14428
1.130983
1.30309
1.326047
1.873263
3.450162
1.816493
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1.30309
0.253188
1.7584
1.460162
1.278119
1.806314
1.750083
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7,644
train
H1
H27
30
30
10
23.333333
16.666667
0.229699
-0.251038
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0.230991
1.727866
0.156341
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0.341674
0.630756
0.114315
0.05513
0.062872
0.094332
0.052085
0.275112
7,644
train
H0
H27
50
50
10
8
8
0.668648
-0.64114
-1.100096
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1.619227
3.543231
1.840208
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1.100096
0.315198
1.232926
0.783778
0.410686
1.708519
1.889299
0.654025
7,644
train
H1
H27
50
50
10
10
8
-0.157875
0.209087
-0.497946
-0.502017
3.242313
8.217118
2.409653
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0.497946
0.041731
0.252021
0.00007
0.043577
1.44719
1.220255
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7,644
train
H0
H27
75
75
10
5.333333
4
1.000024
-1.016562
-0.712745
-0.707585
1.180111
1.216999
1.131947
1.000024
1.016562
0.310833
0.500677
0.89461
1.034913
0.038169
0.059415
1.013475
7,644
train
H1
H27
75
75
10
6.666667
6.666667
1.752097
-1.767568
-1.226638
-1.23294
3.004544
4.103004
3.66456
1.752097
1.767568
0.077054
1.520142
2.282995
3.137852
0.122564
0.126241
1.768042
7,644
train
H0
H27
100
100
10
11
5
0.173073
-0.184213
0.28257
0.281416
0.826177
0.808293
0.968364
0.173073
0.28257
0.616201
0.079195
0.000585
0.033876
0.562363
0.518918
0.184354
7,644
train
H1
H27
100
100
10
12
8
0.917424
-0.977142
-0.118965
-0.118499
2.961865
3.468729
3.292989
0.917424
0.977142
0.192724
0.014042
0.399566
0.954786
0.668884
0.660917
0.988124
7,644
train
H0
H27
150
150
10
10.666667
12.666667
0.771176
-0.799815
-0.27109
-0.270723
1.795148
2.86511
1.47633
0.771176
0.799815
0.412893
0.073291
0.424699
0.639165
0.15745
0.112917
0.808414
7,644
train
H1
H27
150
150
10
13.333333
9.333333
-1.214074
1.151964
1.828006
1.840622
3.691596
12.851416
4.421166
1.840622
1.828006
0.004969
3.387891
2.581212
1.328988
4.294818
4.844395
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7,644
train
H0
H27
200
200
10
9
11
0.667514
-0.70527
0.022308
0.02233
2.794109
3.234415
2.418306
0.667514
0.70527
0.29845
0.000499
0.233077
0.497126
0.67157
0.607782
0.709507
7,644
train
H1
H27
200
200
10
10.5
10.5
0.912554
-0.957709
-0.072215
-0.072023
2.301653
6.496153
3.61609
0.912554
0.957709
0.089814
0.005187
0.256111
0.918201
0.786473
0.870428
0.965368
7,644
train
H0
H27
300
300
10
12.666667
11.666667
-1.425522
1.445071
1.097554
1.095652
2.139767
2.587135
2.206686
-1.425522
1.445071
0.145243
1.200453
1.828396
2.088962
0.172482
0.156847
-1.456541
7,644
train
H1
H27
300
300
10
8.666667
7.666667
1.898521
-1.937913
-0.985772
-0.98728
3.266805
18.04469
6.015603
1.898521
1.937913
0.000431
0.974721
1.91502
3.76601
0.054069
0.079928
1.949001
7,644
train
H0
H27
500
500
10
13
8
0.235275
-0.311463
0.996392
0.99617
7.270544
6.946007
7.278169
0.99617
0.996392
0.026276
0.992354
0.031165
0.097005
4.544469
4.390111
0.312157
7,644
train
H1
H27
500
500
10
9.8
8.8
3.724592
-3.850136
-1.421307
-1.423342
22.601262
39.095471
31.004091
3.724592
3.850136
0
2.025903
7.712674
14.916199
1.709863
1.822866
3.883911
7,644
train
H0
H27
1,000
1,000
10
10.7
10.3
0.136512
-0.159004
0.294424
0.294361
1.257255
2.012178
0.868463
0.136512
0.294424
0.569883
0.086649
0.003771
0.025277
0.509395
0.481982
0.159929
7,644
train
H1
H27
1,000
1,000
10
11.6
9.5
2.466582
-2.541728
-0.842922
-0.843513
9.182975
28.681676
15.399784
2.466582
2.541728
0.000003
0.711515
2.681509
6.473416
1.303183
1.368308
2.559001
7,644
train
H0
H27
20
20
20
5
40
1.222905
-1.112037
-1.6823
-1.659064
3.866353
7.149135
3.581091
-1.659064
1.6823
0.067293
2.752492
1.711492
1.225286
3.23316
2.875927
1.188481
7,644
train
H1
H27
20
20
20
5
10
1.921426
-1.881699
-1.804512
-1.842919
3.589508
5.428679
3.784877
1.921426
1.881699
0.056366
3.396351
3.42023
3.601362
1.49655
1.41339
1.908198
7,644
train
H0
H27
30
30
20
43.333333
23.333333
-0.555942
0.554143
0.709361
0.703167
0.703002
2.328683
0.641191
0.703167
0.709361
0.507048
0.494444
0.345862
0.305623
0.83245
0.766788
-0.579791
7,644
train
H1
H27
30
30
20
16.666667
23.333333
-0.080843
0.047939
0.10969
0.108176
0.012198
0.359661
0.014012
0.108176
0.10969
0.948444
0.011702
0.010142
0.002284
0.043106
0.060428
-0.048511
7,644
train
H0
H27
50
50
20
22
18
-1.054249
1.029237
1.002143
0.998861
1.314042
3.622064
1.113052
0.998861
1.029237
0.294106
0.997722
1.260839
1.057036
0.465569
0.729931
-1.049158
7,644
train
H1
H27
50
50
20
18
24
1.927632
-1.904741
-1.852404
-1.880648
3.706061
4.901123
3.782262
1.927632
1.904741
0.054272
3.536838
3.602452
3.648564
1.757855
1.722839
1.924658
7,644
train
H0
H27
75
75
20
16
18.666667
1.291984
-1.309821
-1.071485
-1.072917
1.510814
4.050119
1.740649
1.291984
1.309821
0.185394
1.151152
1.436429
1.717281
0.246989
0.206668
1.324328
7,644
train
H1
H27
75
75
20
18.666667
22.666667
0.262133
-0.307532
0.007751
0.007713
0.272399
1.476198
0.462829
0.007713
0.307532
0.687775
0.000059
0.013761
0.094512
0.169942
0.1898
0.311431
7,644
train
H0
H27
100
100
20
14
12
0.480564
-0.471963
-0.381833
-0.381452
0.626753
6.089228
0.244051
-0.381452
0.471963
0.107349
0.145506
0.340928
0.222584
0.031486
0.083625
0.478465
7,644
train
H1
H27
100
100
20
18
21
0.853117
-0.895607
-0.24566
-0.244704
2.29473
1.891104
2.518037
0.853117
0.895607
0.283933
0.05988
0.391905
0.802724
0.374568
0.301207
0.909304
7,644
train
H0
H27
150
150
20
22.666667
20
0.115366
-0.13543
0.091165
0.090747
0.131411
0.626178
0.263197
0.090747
0.13543
0.876693
0.008235
0.000471
0.018324
0.136975
0.131458
0.13819
7,644
train
H1
H27
150
150
20
20.666667
15.333333
-0.268763
0.131983
1.598487
1.614552
10.013956
14.615792
11.977568
1.614552
1.598487
0.002176
2.606779
0.714801
0.017488
8.577642
8.677678
-0.133903
7,644
train
H0
H27
200
200
20
15.5
22
0.925309
-0.93339
-0.790376
-0.789686
0.951817
1.100564
0.874829
-0.789686
0.93339
0.344144
0.623604
0.878895
0.870642
0.156593
0.168976
0.94601
7,644
train
H1
H27
200
200
20
18.5
20.5
2.237899
-2.376924
-1.02284
-1.024955
9.988161
12.538347
11.513738
2.237899
2.376924
0.003161
1.050532
3.336831
5.675128
0.501081
0.507602
2.409986
7,644
train
H0
H27
300
300
20
21.333333
19.666667
0.492351
-0.538827
-0.086369
-0.086219
0.859285
1.7481
1.078981
0.492351
0.538827
0.583045
0.007434
0.112822
0.290204
0.234354
0.24799
0.545341
7,644
train
H1
H27
300
300
20
21.666667
21.333333
1.531405
-1.677852
-0.41314
-0.412874
6.237053
15.078915
8.626845
1.531405
1.677852
0.00175
0.170465
1.111907
2.821809
1.215722
1.283745
1.700403
7,644
train
H0
H27
500
500
20
20.6
16.4
-1.168885
1.159313
1.212971
1.212537
1.551525
1.896586
1.49282
-1.168885
1.212971
0.241219
1.470246
1.61381
1.343705
0.924798
0.934264
-1.171945
7,644
train
H1
H27
500
500
20
22.8
20.2
2.857174
-3.040703
-1.479797
-1.480889
13.824786
16.295386
16.210051
2.857174
3.040703
0.000302
2.193032
5.678738
9.284324
0.346708
0.332562
3.101998
7,644
train
H0
H27
1,000
1,000
20
20.7
20.9
1.999182
-1.994405
-1.778019
-1.779751
4.354212
5.799712
4.016067
1.999182
1.994405
0.04287
3.167512
4.118321
3.980027
1.09892
1.133012
2.024971
7,644
train
H1
H27
1,000
1,000
20
19.4
18.5
3.801577
-3.985075
-1.884508
-1.885677
23.480772
31.903015
29.29476
3.801577
3.985075
0
3.555778
9.325062
15.941264
0.765793
0.808843
4.03812