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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logrank_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
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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
float64
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4
train
H0
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train
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train
H0
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train
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train
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train
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train
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train
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train
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train
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train
H0
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train
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train
H0
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train
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train
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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
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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
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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
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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
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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
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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
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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
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train
H0
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train
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train
H0
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train
H1
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train
H0
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train
H1
H12
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38.666667
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-0.180717
0.096496
0.352943
0.35357
0.313758
0.25466
0.349037
-0.180717
0.352943
0.839861
0.125011
0.059474
0.009313
0.333998
0.316245
-0.100759
4
train
H0
H12
500
500
40
43.8
44
-1.296771
1.163011
1.460168
1.465785
2.259264
2.289611
2.26485
1.465785
1.460168
0.226233
2.148526
1.700557
1.353905
2.057027
2.102241
-1.21012
4
train
H1
H12
500
500
40
44.8
41.2
-0.580775
0.126465
1.439643
1.440753
8.620081
9.980227
9.1524
1.440753
1.439643
0.010294
2.075768
0.51831
0.015999
7.124408
7.138729
-0.135266
4
train
H0
H12
1,000
1,000
40
43.4
38.6
-0.517987
0.252337
1.109294
1.108357
3.933895
3.982175
3.886405
1.108357
1.109294
0.143244
1.228456
0.31239
0.063666
3.33826
3.271105
-0.263252
4
train
H1
H12
1,000
1,000
40
39
39.5
0.428332
-0.6773
0.172545
0.172635
2.728025
2.261885
3.095155
0.428332
0.6773
0.212763
0.029803
0.071959
0.458857
1.199947
1.151882
0.705001
4
train
H0
H12
20
20
50
30
55
0.197373
0.146884
-0.946228
-0.944743
8.460458
8.511302
8.395206
-0.944743
0.946228
0.015032
0.892539
0.108883
0.021617
5.702131
5.558686
-0.255475
4
train
H1
H12
20
20
50
40
55
1.293163
-1.215628
-1.30878
-1.307356
1.721629
1.721159
1.721334
-1.307356
1.30878
0.196472
1.70918
1.608822
1.480278
0.778925
0.761569
1.29167
4
train
H0
H12
30
30
50
50
53.333333
0.440257
-0.242707
-0.463862
-0.466604
0.239663
6.15793
0.223894
-0.466604
0.463862
0.104174
0.217719
0.064577
0.05442
0.146795
0.082242
0.228683
4
train
H1
H12
30
30
50
53.333333
73.333333
0.226278
-0.031565
-0.429147
-0.439134
1.664716
1.887016
1.642121
-0.439134
0.429147
0.439965
0.192838
0.035536
0.000449
0.933695
0.897206
0.074772
4
train
H0
H12
50
50
50
54
50
-0.362869
0.157098
0.636516
0.636647
1.453208
3.277181
1.565658
0.636647
0.636516
0.350831
0.405319
0.162898
0.024625
1.366961
1.479011
-0.167754
4
train
H1
H12
50
50
50
48
44
0.770728
-0.854763
-0.551881
-0.554049
1.289403
1.921787
1.20851
-0.554049
0.854763
0.380739
0.30697
0.621196
0.731883
0.008818
0.001423
0.876536
4
train
H0
H12
75
75
50
48
54.666667
0.385881
-0.245845
-0.532304
-0.530134
0.506914
0.558648
0.495452
0.385881
0.532304
0.780574
0.281042
0.134089
0.060352
0.385722
0.353723
0.260799
4
train
H1
H12
75
75
50
54.666667
58.666667
-0.164614
0.120275
0.182779
0.182832
0.034313
0.7858
0.037328
0.182832
0.182779
0.85286
0.033427
0.032735
0.014457
0.084614
0.107531
-0.123307
4
train
H0
H12
100
100
50
47
56
1.972143
-2.127041
-1.653565
-1.650667
4.469643
5.143031
4.629729
-1.650667
2.127041
0.024232
2.724701
3.867323
4.539714
0.358676
0.367579
2.253433
4
train
H1
H12
100
100
50
51
44
-0.610358
0.761309
0.41537
0.413948
0.626178
1.459696
0.715641
0.413948
0.761309
0.425571
0.171353
0.384127
0.578798
0.000255
0.000873
-0.796793
4
train
H0
H12
150
150
50
52.666667
42.666667
0.286718
-0.414081
-0.131963
-0.132802
0.226581
2.11727
0.324876
0.286718
0.414081
0.548427
0.017636
0.065361
0.172014
0.069318
0.083149
0.436336
4
train
H1
H12
150
150
50
46.666667
48
0.391246
-0.500434
-0.191029
-0.190623
0.579042
1.00747
0.642103
-0.190623
0.500434
0.605719
0.036337
0.130452
0.250318
0.106894
0.107157
0.516193
4
train
H0
H12
200
200
50
52
48.5
-0.349912
0.25704
0.517346
0.51621
0.685181
2.572763
0.589699
-0.349912
0.517346
0.462285
0.266473
0.090481
0.066016
0.621285
0.499002
-0.271993
4
train
H1
H12
200
200
50
48.5
50.5
0.168727
-0.195317
-0.166623
-0.166172
0.027928
0.538792
0.028738
0.168727
0.195317
0.836563
0.027613
0.020896
0.038124
0.005005
0.003169
0.206292
4
train
H0
H12
300
300
50
47.333333
53.333333
0.227964
0.087282
-0.648098
-0.648209
2.115763
2.709783
2.288257
-0.648209
0.648098
0.318501
0.420175
0.050848
0.007618
1.662771
1.668612
-0.090714
4
train
H1
H12
300
300
50
45
50
0.268742
-0.277313
-0.207656
-0.207943
0.105651
0.11183
0.10496
-0.207943
0.277313
0.772382
0.04324
0.060235
0.076905
0.000033
0.000233
0.289261
4
train
H0
H12
500
500
50
53.8
53.4
-1.664607
1.91792
1.131366
1.132551
6.338498
7.121272
6.036233
1.132551
1.91792
0.04277
1.282671
3.06411
3.683336
0.150396
0.125357
-2.02595
4
train
H1
H12
500
500
50
50.2
48.6
0.515513
-0.942865
0.100061
0.099975
4.157109
8.754648
4.880815
0.099975
0.942865
0.032737
0.009995
0.225093
0.889012
1.669176
1.776241
0.992252
4
train
H0
H12
1,000
1,000
50
49.5
50.6
0.189808
0.176117
-0.656862
-0.656675
2.566736
4.392829
2.877036
-0.656675
0.656862
0.222051
0.431222
0.041287
0.031012
1.984512
1.996819
-0.18452
4
train
H1
H12
1,000
1,000
50
49
50.7
1.022834
-1.459742
-0.460499
-0.46085
3.446149
13.198202
4.41377
-0.46085
1.459742
0.004227
0.212383
0.892941
2.131218
0.564458
0.596988
1.539616
4
train
H0
H13
20
20
0
0
0
0.162301
-0.162301
-0.936498
-0.955157
4.272692
5.389827
3.911312
-0.955157
0.936498
0.141472
0.912325
0.236442
0.026149
2.670922
2.443652
0.164368
4
train
H1
H13
20
20
0
0
0
0.189351
-0.189351
-0.326268
-0.32189
0.309639
3.676648
0.151287
0.189351
0.326268
0.298564
0.103613
0.030914
0.035546
0.084338
0.027636
0.191763
4
train
H0
H13
30
30
0
0
0
-0.916634
0.916634
0.055848
0.05578
3.341967
3.888686
3.469653
-0.916634
0.916634
0.176431
0.003111
0.364165
0.841368
0.980107
0.917949
-0.92437
4
train
H1
H13
30
30
0
0
0
-0.029569
0.029569
0.053675
0.052708
0.010054
0.497668
0.004021
0.052708
0.053675
0.919404
0.002778
0.00122
0.000869
0.02282
0.009168
-0.029818
4
train
H0
H13
50
50
0
0
0
-0.737639
0.737639
1.123125
1.131751
1.976455
5.308593
1.627886
1.131751
1.123125
0.150546
1.280861
0.725345
0.542542
1.810477
1.646264
-0.741355
4
train
H1
H13
50
50
0
0
0
1.040967
-1.040967
-1.457779
-1.478381
2.875544
5.320213
2.565728
1.040967
1.457779
0.149796
2.185612
1.418128
1.08227
2.272072
2.113826
1.046211
4
train
H0
H13
75
75
0
0
0
-1.74217
1.74217
1.644816
1.647585
3.207418
3.310887
3.110361
-1.74217
1.74217
0.082508
2.714538
3.210512
3.046985
1.16903
1.224638
-1.736314
4
train
H1
H13
75
75
0
0
0
0.840076
-0.840076
-0.970454
-0.966884
0.942353
1.463917
0.935029
-0.966884
0.970454
0.402451
0.934865
0.804072
0.704901
0.638602
0.582485
0.837252
4
train
H0
H13
100
100
0
0
0
-0.141717
0.141717
-0.307646
-0.305906
0.788813
0.747028
0.787667
-0.305906
0.307646
0.674467
0.093579
0.000748
0.020051
0.422744
0.386493
-0.142072
4
train
H1
H13
100
100
0
0
0
-0.087962
0.087962
-0.678839
-0.679621
2.636763
2.847684
2.496536
-0.679621
0.678839
0.287001
0.461884
0.04341
0.007725
1.594017
1.475581
-0.088183
4
train
H0
H13
150
150
0
0
0
1.798339
-1.798339
-1.156207
-1.153685
4.132417
4.087296
3.9328
1.798339
1.798339
0.071649
1.33099
2.656285
3.240323
0.045659
0.070533
1.801343
4
train
H1
H13
150
150
0
0
0
0.626956
-0.626956
-1.999879
-2.049844
12.093159
13.286294
11.117719
-2.049844
1.999879
0.003853
4.20186
1.38343
0.393055
9.50562
9.308467
0.628003
4
train
H0
H13
200
200
0
0
0
0.035463
-0.035463
0.662098
0.662188
1.323213
4.704318
1.997859
0.662188
0.662098
0.194774
0.438493
0.089369
0.001257
1.472067
1.62894
0.035507
4
train
H1
H13
200
200
0
0
0
-1.097615
1.097615
-0.197764
-0.198814
7.737604
8.078207
6.975048
-1.097615
1.097615
0.030576
0.039527
0.435759
1.204978
2.311827
2.17265
-1.09899
4
train
H0
H13
300
300
0
0
0
0.652352
-0.652352
-0.121318
-0.121031
0.917376
2.667277
1.229062
0.652352
0.652352
0.445817
0.014648
0.206926
0.425471
0.203209
0.23295
0.652896
4
train
H1
H13
300
300
0
0
0
-0.808257
0.808257
-0.247875
-0.248217
4.735875
4.697494
4.406646
-0.808257
0.808257
0.110436
0.061612
0.20948
0.653243
1.623753
1.543251
-0.808931
4
train
H0
H13
500
500
0
0
0
-1.444827
1.444827
0.886127
0.88618
3.334113
4.895005
2.640988
-1.444827
1.444827
0.148303
0.785315
1.79002
2.087962
0.006163
0.014949
-1.44555
4
train
H1
H13
500
500
0
0
0
0.179125
-0.179125
-1.928978
-1.944455
12.517894
12.62709
13.570044
-1.944455
1.928978
0.001131
3.780904
0.818458
0.032092
10.596198
10.539292
0.179215
4
train
H0
H13
1,000
1,000
0
0
0
0.39905
-0.39905
-0.77892
-0.780109
1.935243
5.648023
0.924918
0.39905
0.77892
0.130048
0.608569
0.144683
0.159234
0.917224
0.870989
0.39915
4
train
H1
H13
1,000
1,000
0
0
0
-0.313788
0.313788
-2.008897
-2.023371
21.152127
20.185876
22.203033
-2.023371
2.008897
0.000015
4.094029
0.361714
0.098499
15.341828
15.22585
-0.313867