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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real_perc1
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logrank_test
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CoxMantel_test
float64
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7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
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
-8.89
10.7
4
train
H0
H25
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train
H1
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20
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train
H0
H25
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train
H1
H25
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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
H25
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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
H25
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train
H0
H25
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train
H1
H25
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train
H0
H25
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train
H1
H25
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train
H0
H26
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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
H26
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train
H0
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train
H1
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train
H0
H26
150
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train
H1
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train
H0
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0
0
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train
H1
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0
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train
H0
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train
H1
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300
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0
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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
H26
20
20
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15
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train
H1
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20
20
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5
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train
H0
H26
30
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10
0
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train
H1
H26
30
30
10
6.666667
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train
H0
H26
50
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8
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train
H1
H26
50
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4
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train
H0
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train
H1
H26
75
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10
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train
H0
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train
H1
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100
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7
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train
H0
H26
150
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10
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train
H1
H26
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train
H0
H26
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train
H1
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11
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train
H0
H26
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train
H1
H26
300
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10
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-0.569794
0.56399
0.001309
0.001953
0.317099
0.318056
0.367498
0.313171
-0.577035
4
train
H0
H26
500
500
10
11.6
8.8
-0.443947
0.421604
0.717112
0.715698
0.617063
0.695287
0.673365
-0.443947
0.717112
0.667747
0.512223
0.326554
0.177699
0.687451
0.710758
-0.429243
4
train
H1
H26
500
500
10
10.8
9.4
2.287242
-2.320235
-2.397884
-2.423102
6.012622
13.934633
5.951297
2.287242
2.397884
0.002995
5.871423
4.829018
5.391953
3.831327
3.728824
2.354914
4
train
H0
H26
1,000
1,000
10
12.6
8
-0.823453
0.726493
2.015418
2.018703
8.375751
8.367847
8.345788
2.018703
2.015418
0.015408
4.075162
1.600332
0.527783
7.87055
7.748876
-0.738898
4
train
H1
H26
1,000
1,000
10
11.9
9.9
-1.590889
1.588036
0.303795
0.304693
12.755307
22.217007
8.22977
-1.590889
1.588036
0.000059
0.092838
1.975323
2.522386
1.677255
1.586085
-1.616616
4
train
H0
H26
20
20
20
20
5
-0.989993
1.000377
1.204474
1.194214
1.551559
2.664069
1.478496
1.194214
1.204474
0.29964
1.426146
1.130289
0.992914
1.49383
1.385315
-1.037206
4
train
H1
H26
20
20
20
15
30
0.632485
-0.640008
-0.702376
-0.689938
0.479224
0.892214
0.476026
-0.689938
0.702376
0.494918
0.476014
0.465721
0.405577
0.220105
0.262791
0.682507
4
train
H0
H26
30
30
20
20
20
-1.620059
1.649463
1.062893
1.062811
3.659436
3.945211
3.836551
-1.620059
1.649463
0.087954
1.129568
2.077703
2.760571
0.000044
0.000277
-1.706289
4
train
H1
H26
30
30
20
3.333333
6.666667
0.802426
-0.825823
-0.364348
-0.357802
0.625853
3.932564
1.170227
0.802426
0.825823
0.268839
0.128022
0.31512
0.680961
0.060116
0.119086
0.851756
4
train
H0
H26
50
50
20
30
18
0.513293
-0.644986
0.011228
0.011188
1.166609
4.27445
1.628862
0.513293
0.644986
0.233313
0.000125
0.14338
0.419275
0.420577
0.540544
0.660335
4
train
H1
H26
50
50
20
18
28
0.547502
-0.491133
-0.788313
-0.780872
0.775481
0.966991
0.777207
-0.780872
0.788313
0.60774
0.609761
0.353666
0.236445
0.730358
0.774196
0.513302
4
train
H0
H26
75
75
20
14.666667
24
2.121709
-2.109595
-2.15547
-2.16066
4.760905
5.173695
4.823223
2.121709
2.15547
0.031336
4.66845
4.68402
4.476652
2.622259
2.629335
2.152774
4
train
H1
H26
75
75
20
26.666667
20
0.301692
-0.385627
0.081353
0.080793
0.914867
0.982429
0.854693
0.080793
0.385627
0.652238
0.006527
0.041288
0.148435
0.346347
0.283621
0.397233
4
train
H0
H26
100
100
20
25
19
-0.316288
0.183611
1.040006
1.03904
3.824768
4.126722
3.55799
1.03904
1.040006
0.168808
1.079604
0.23091
0.033673
3.076407
2.897289
-0.193168
4
train
H1
H26
100
100
20
20
21
0.513951
-0.58053
-0.417083
-0.413915
0.171569
3.068357
0.280852
0.513951
0.58053
0.381206
0.171326
0.164093
0.336665
0.028011
0.007046
0.595372
4
train
H0
H26
150
150
20
22
14.666667
0.493131
-0.410637
-0.805678
-0.808495
0.759591
1.868336
0.94497
-0.808495
0.805678
0.600178
0.653664
0.407183
0.168674
0.929266
0.985836
0.424603
4
train
H1
H26
150
150
20
20.666667
14
-0.008482
-0.076351
-0.249277
-0.249414
1.001101
5.372296
0.338256
-0.008482
0.249277
0.146479
0.062207
0.002712
0.005841
0.300694
0.223195
0.07833
4
train
H0
H26
200
200
20
18
22.5
0.77039
-0.597758
-1.697812
-1.713259
6.672529
6.606453
6.808529
-1.713259
1.697812
0.033231
2.935258
1.145571
0.357054
6.125193
6.068085
0.612192
4
train
H1
H26
200
200
20
21
18.5
-0.523433
0.396772
0.978426
0.978285
1.166384
6.14707
1.710806
0.978285
0.978426
0.10467
0.957041
0.640536
0.157429
1.591726
1.726949
-0.407644
4
train
H0
H26
300
300
20
18.333333
21.666667
1.067442
-1.023015
-1.163614
-1.161169
1.357369
1.388873
1.349881
-1.161169
1.163614
0.293191
1.348314
1.291438
1.046266
0.901087
0.92905
1.051146
4
train
H1
H26
300
300
20
23
16.333333
0.116742
-0.211639
-0.204879
-0.205255
0.298893
3.716451
0.066297
-0.205255
0.211639
0.293755
0.04213
0.004427
0.044804
0.064882
0.048984
0.217415
4
train
H0
H26
500
500
20
16.8
20
0.793039
-0.615145
-1.641501
-1.641721
4.1232
6.510511
5.051596
-1.641721
1.641501
0.079994
2.695248
1.276742
0.37843
4.839671
5.006968
0.633082
4
train
H1
H26
500
500
20
22.4
23.6
-0.855994
0.693889
0.980857
0.983451
1.272524
11.537549
0.973895
0.983451
0.980857
0.009147
0.967175
1.116803
0.481731
0.719455
0.852739
-0.718968
4
train
H0
H26
1,000
1,000
20
20.6
20.4
0.952827
-0.95188
-0.537418
-0.537047
1.94396
2.890597
1.432417
0.952827
0.95188
0.326587
0.28842
0.842275
0.906149
0.01111
0.006344
0.981011
4
train
H1
H26
1,000
1,000
20
21
18.1
-1.557588
1.40255
1.578804
1.581663
3.43074
11.006222
2.595867
-1.557588
1.578804
0.011692
2.501657
3.138766
1.967971
1.294989
1.361369
-1.446047
4
train
H0
H26
20
20
30
20
40
1.403063
-1.307571
-1.434882
-1.421774
2.124523
3.373862
2.068727
-1.421774
1.434882
0.160045
2.021442
2.026845
1.698231
1.018431
1.211814
1.404921
4
train
H1
H26
20
20
30
30
20
-0.180852
0.095408
0.373213
0.364893
0.34671
0.723109
0.296611
-0.180852
0.373213
0.862168
0.133147
0.033975
0.009023
0.445671
0.350229
-0.106938
4
train
H0
H26
30
30
30
30
36.666667
0.807972
-1.084362
-0.220717
-0.218768
1.999226
7.6751
2.749738
0.807972
1.084362
0.053226
0.04786
0.462364
1.175795
0.314358
0.50127
1.132739
4
train
H1
H26
30
30
30
30
13.333333
1.336285
-1.331665
-1.085134
-1.131008
1.856842
1.858199
1.940756
1.336285
1.331665
0.16157
1.279179
1.551858
1.789383
0.213422
0.224182
1.399812
4
train
H0
H26
50
50
30
38
40
0.743725
-0.909021
-0.401454
-0.400775
1.407569
1.494746
1.344457
-0.400775
0.909021
0.329206
0.160621
0.526627
0.823454
0.074027
0.032589
0.975714
4
train
H1
H26
50
50
30
32
30
-0.122282
-0.075511
0.755249
0.752008
2.433104
2.32674
2.51823
0.752008
0.755249
0.283905
0.565515
0.079589
0.005674
2.174547
2.079323
0.073563
4
train
H0
H26
75
75
30
25.333333
42.666667
2.450863
-2.43663
-2.376772
-2.375501
6.013223
6.34175
6.129931
2.450863
2.43663
0.011163
5.643007
6.018065
5.988454
2.626012
2.670683
2.537569
4
train
H1
H26
75
75
30
29.333333
33.333333
0.350497
-0.383671
-0.309688
-0.306624
0.128241
0.141717
0.124068
0.350497
0.383671
0.688218
0.094018
0.137665
0.147003
0.00905
0.016145
0.401275
4
train
H0
H26
100
100
30
32
32
-0.962197
0.820793
1.245598
1.253804
1.934171
1.932301
1.92495
1.253804
1.245598
0.381946
1.572024
1.009458
0.673802
2.077799
2.042235
-0.855323
4
train
H1
H26
100
100
30
38
28
0.332822
-0.303567
-0.335732
-0.33744
0.118507
0.139392
0.116892
-0.33744
0.335732
0.754579
0.113865
0.099252
0.091319
0.045184
0.047189
0.312608
4
train
H0
H26
150
150
30
34
26.666667
-0.29258
0.412432
-0.036613
-0.036645
0.511393
1.46509
0.704217
-0.036645
0.412432
0.667359
0.001343
0.041745
0.169989
0.202799
0.233144
-0.429776
4
train
H1
H26
150
150
30
30.666667
33.333333
0.709251
-0.78922
-0.441066
-0.440009
0.932039
1.734716
0.83534
-0.440009
0.78922
0.410368
0.193608
0.445613
0.622275
0.005402
0.000327
0.823247
4
train
H0
H26
200
200
30
32
28
0.71717
-0.71345
-0.427821
-0.427418
1.103161
1.746975
0.840446
0.71717
0.71345
0.457517
0.182686
0.511368
0.509419
0.007354
0.002911
0.742941
4
train
H1
H26
200
200
30
26.5
34.5
1.376024
-1.498806
-1.252862
-1.249928
1.61873
8.317484
1.895499
1.376024
1.498806
0.039886
1.56232
1.690693
2.245196
0.545229
0.447542
1.580182
4
train
H0
H26
300
300
30
33
24.333333
-1.235506
1.051547
1.595158
1.596188
2.658643
6.696187
2.894971
1.596188
1.595158
0.082238
2.547818
1.92103
1.10549
2.796346
2.94294
-1.097483
4
train
H1
H26
300
300
30
33
29.666667
-1.260919
1.035701
1.641839
1.641321
2.903741
3.624472
3.114462
-1.260919
1.641839
0.210719
2.693936
1.997491
1.073369
3.008994
3.082515
-1.090699
4
train
H0
H26
500
500
30
31.2
27.8
-1.328678
0.967019
2.133758
2.139315
5.970612
8.493892
7.037312
2.139315
2.133758
0.029639
4.576667
2.557709
0.935918
6.93639
7.026002
-1.011757
4
train
H1
H26
500
500
30
30
32.4
-0.788666
0.526147
0.881843
0.883559
1.033708
11.755027
0.783848
0.883559
0.881843
0.008271
0.780677
0.887194
0.27713
0.517449
0.637156
-0.549698
4
train
H0
H26
1,000
1,000
30
31.7
27.5
-1.217488
1.099143
1.616523
1.615268
3.076665
3.104073
3.035345
-1.217488
1.616523
0.219221
2.609091
1.713589
1.207885
2.986297
2.964918
-1.146161
4
train
H1
H26
1,000
1,000
30
29.6
29
-1.054493
0.743276
1.821576
1.82476
4.881538
6.62887
5.604513
1.82476
1.821576
0.060673
3.329749
1.689413
0.552733
5.560597
5.656323
-0.781101