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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CoxMantel_test
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BN_GPH_test
float64
0
109
BN_MCE_test
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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
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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
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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
H21
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train
H1
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train
H0
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train
H1
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train
H0
H21
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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
H21
75
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train
H0
H21
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train
H1
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train
H0
H21
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train
H1
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train
H0
H21
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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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20
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train
H1
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train
H0
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train
H1
H22
30
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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
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train
H1
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train
H0
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train
H1
H22
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10.015374
10.909831
9.509967
-3.041326
3.041326
0.002336
8.354591
9.768808
9.281275
3.567653
3.828613
-3.043863
4
train
H0
H22
500
500
0
0
0
-0.667888
0.667888
1.299149
1.300522
2.475954
2.577147
2.565541
1.300522
1.299149
0.277268
1.691358
0.925674
0.446106
2.578535
2.504394
-0.668222
4
train
H1
H22
500
500
0
0
0
-1.636434
1.636434
2.756648
2.785676
11.106988
11.761325
10.517875
2.785676
2.756648
0.005201
7.759991
4.305854
2.679733
10.589353
10.475275
-1.637253
4
train
H0
H22
1,000
1,000
0
0
0
2.66325
-2.66325
-2.219749
-2.221697
7.083006
6.96445
7.131722
2.66325
2.66325
0.007724
4.935936
6.635647
7.099533
1.463492
1.469981
2.663916
4
train
H1
H22
1,000
1,000
0
0
0
-2.590766
2.590766
2.646669
2.653733
7.58553
9.841764
7.377155
2.653733
2.646669
0.009558
7.042299
7.256336
6.71717
3.938535
4.095297
-2.591413
4
train
H0
H22
20
20
10
5
5
-0.704354
0.634907
1.52872
1.617679
7.285209
7.379465
7.415821
1.617679
1.52872
0.024529
2.616885
1.171214
0.403509
6.753039
6.623055
-0.644261
4
train
H1
H22
20
20
10
0
0
-1.027903
1.027903
1.475668
1.529652
3.408291
3.9855
3.192181
1.529652
1.475668
0.202687
2.339837
1.501296
1.057682
3.293184
3.14961
-1.040998
4
train
H0
H22
30
30
10
6.666667
10
0.755055
-0.765675
-0.943481
-0.942961
0.90132
1.821544
0.929323
-0.942961
0.943481
0.430421
0.889175
0.76177
0.583395
0.733414
0.832273
0.788472
4
train
H1
H22
30
30
10
16.666667
6.666667
0.080432
-0.171081
1.040171
1.038986
6.298355
7.624985
7.042527
0.080432
1.040171
0.029562
1.079493
0.135456
0.029248
4.493536
4.411494
0.156042
4
train
H0
H22
50
50
10
10
8
1.78628
-1.804693
-1.331654
-1.328044
3.292465
4.310467
3.532914
-1.328044
1.804693
0.065151
1.763702
2.77173
3.266457
0.225089
0.221194
1.844217
4
train
H1
H22
50
50
10
4
8
0.502419
-0.496922
-0.719275
-0.710504
0.658479
1.448995
0.578844
0.502419
0.719275
0.61758
0.504815
0.309269
0.239281
0.486052
0.394804
0.499283
4
train
H0
H22
75
75
10
13.333333
6.666667
0.018299
-0.039334
0.463658
0.460288
1.125938
1.16846
1.072971
0.018299
0.463658
0.5848
0.211865
0.017399
0.001543
0.799798
0.757796
0.036666
4
train
H1
H22
75
75
10
10.666667
10.666667
-0.219659
0.241549
-0.252041
-0.251048
0.638239
2.152437
1.091248
-0.251048
0.252041
0.541377
0.063025
0.001465
0.059247
0.510915
0.515748
-0.244557
4
train
H0
H22
100
100
10
10
12
1.079275
-1.095
-0.864886
-0.863107
0.899569
6.00346
1.216552
1.079275
1.095
0.111442
0.744953
0.902335
1.196115
0.149584
0.100808
1.116513
4
train
H1
H22
100
100
10
8
10
0.798704
-0.807824
-0.581031
-0.579365
0.87684
1.081398
0.727704
-0.579365
0.807824
0.415749
0.335664
0.617706
0.652373
0.029466
0.036977
0.813818
4
train
H0
H22
150
150
10
12
10.666667
-1.559786
1.592352
0.794927
0.794307
4.325369
4.241663
4.279953
-1.559786
1.592352
0.105069
0.630924
1.75938
2.541313
0.114247
0.092719
-1.620763
4
train
H1
H22
150
150
10
13.333333
9.333333
-0.956521
0.916392
1.516799
1.521741
3.099183
3.776858
3.173208
1.521741
1.516799
0.204619
2.315696
1.368912
0.840686
3.217495
3.325941
-0.932856
4
train
H0
H22
200
200
10
11
11
-1.583951
1.6064
1.157189
1.15753
3.019076
3.246435
2.859053
-1.583951
1.6064
0.103776
1.339877
2.283817
2.586932
0.09901
0.103424
-1.626818
4
train
H1
H22
200
200
10
10.5
11
-1.674013
1.697761
1.060897
1.064727
4.071356
5.042294
3.717798
-1.674013
1.697761
0.084337
1.133644
2.314293
2.887768
0.004094
0.017216
-1.72606
4
train
H0
H22
300
300
10
15
10.666667
-1.437565
1.471903
1.056363
1.053709
1.769929
3.691091
2.340098
-1.437565
1.471903
0.13558
1.110302
1.57193
2.168333
0.105615
0.102731
-1.492454
4
train
H1
H22
300
300
10
9.333333
7
-1.078126
1.081471
1.360647
1.362146
2.172944
3.027238
1.936256
1.362146
1.360647
0.274388
1.855442
1.233864
1.169566
1.773362
1.753988
-1.093013
4
train
H0
H22
500
500
10
11.2
11
0.174409
-0.16328
-0.224883
-0.224423
0.074504
1.111946
0.05339
-0.224423
0.224883
0.774191
0.050366
0.062911
0.026389
0.04218
0.05639
0.164966
4
train
H1
H22
500
500
10
9
10
0.439955
-0.44225
-0.275445
-0.274943
0.426977
1.071723
0.253864
0.439955
0.44225
0.654193
0.075594
0.213606
0.195583
0.000278
0.002472
0.447944
4
train
H0
H22
1,000
1,000
10
11.7
10.2
0.756617
-0.78005
-0.478242
-0.477912
0.505819
1.534029
0.743149
0.756617
0.78005
0.427118
0.2284
0.405195
0.607563
0.001273
0.000569
0.794133
4
train
H1
H22
1,000
1,000
10
11.9
9.4
-2.128711
2.107226
2.402482
2.404177
5.782883
5.797759
5.780406
2.404177
2.402482
0.032483
5.780067
5.091291
4.442336
4.289888
4.308385
-2.138415
4
train
H0
H22
20
20
20
15
10
-0.417963
0.423969
-0.092868
-0.09201
1.650987
2.499586
1.371713
-0.417963
0.423969
0.475366
0.008466
0.070256
0.190921
0.42939
0.297274
-0.444005
4
train
H1
H22
20
20
20
15
15
-1.07739
1.048681
0.784263
0.790399
1.976598
7.987439
1.399496
-1.07739
1.048681
0.046272
0.624731
1.177531
1.109619
0.002278
0.076334
-1.084128
4
train
H0
H22
30
30
20
10
26.666667
0.07676
-0.058917
-0.47294
-0.469055
1.052852
1.68924
0.922815
-0.469055
0.47294
0.630396
0.220013
0.0404
0.003471
0.628002
0.489381
0.076102
4
train
H1
H22
30
30
20
16.666667
20
1.876661
-1.780413
-2.345521
-2.511893
8.58358
9.503604
8.362266
-2.511893
2.345521
0.015281
6.309608
4.470381
3.226166
7.697811
7.53398
1.875683
4
train
H0
H22
50
50
20
20
20
-0.426804
0.432169
0.19408
0.192328
0.346929
0.774756
0.387798
0.192328
0.432169
0.649112
0.03699
0.126482
0.192818
0.011882
0.01609
-0.454996
4
train
H1
H22
50
50
20
20
22
0.860997
-0.792774
-1.22599
-1.224467
1.787286
1.896066
1.853862
0.860997
1.22599
0.395766
1.499319
0.992411
0.621749
1.670947
1.703584
0.834715
4
train
H0
H22
75
75
20
18.666667
16
0.36674
-0.397505
-0.062339
-0.061892
0.353351
0.566237
0.537765
0.36674
0.397505
0.689704
0.003831
0.044643
0.15647
0.119448
0.120987
0.399256
4
train
H1
H22
75
75
20
22.666667
26.666667
0.181394
-0.177142
-0.133008
-0.132132
0.054262
0.228351
0.041459
0.181394
0.177142
0.859093
0.017459
0.034104
0.030569
0.000816
0.000106
0.177529
4
train
H0
H22
100
100
20
27
17
-2.656211
2.615658
2.681458
2.716839
7.505583
8.003087
7.564572
-2.656211
2.681458
0.006517
7.381213
7.300595
6.896441
4.322912
4.297363
-2.720544
4
train
H1
H22
100
100
20
18
13
-0.957461
0.87484
1.622445
1.643234
5.076609
8.232627
4.469805
-0.957461
1.622445
0.041441
2.700219
1.284895
0.764824
4.50946
4.307527
-0.897756
4
train
H0
H22
150
150
20
20
18.666667
-1.355673
1.280971
1.806765
1.82651
3.985669
4.063985
3.926578
1.82651
1.806765
0.140396
3.336138
2.307494
1.646928
3.932629
3.891095
-1.321742
4
train
H1
H22
150
150
20
18.666667
17.333333
-0.143383
0.189627
0.074316
0.074025
0.011695
2.298333
0.037525
0.074025
0.189627
0.51284
0.00548
0.004026
0.03592
0.000003
0.002358
-0.194805
4
train
H0
H22
200
200
20
21
23
-0.109293
0.097069
0.167748
0.167163
0.052973
0.277946
0.038942
0.167163
0.167748
0.918183
0.027943
0.0128
0.009695
0.051289
0.044782
-0.102723
4
train
H1
H22
200
200
20
18.5
20.5
0.306851
-0.332031
-0.102818
-0.102441
0.232581
0.235143
0.264145
0.306851
0.332031
0.733222
0.010494
0.059214
0.1102
0.039502
0.036131
0.340842
4
train
H0
H22
300
300
20
18.666667
23
0.245162
-0.291061
-0.095183
-0.095126
0.031595
1.837539
0.14826
-0.095126
0.291061
0.6068
0.009049
0.025398
0.083292
0.014385
0.014761
0.298948
4
train
H1
H22
300
300
20
22
18
-1.443125
1.37488
1.81263
1.815251
3.451636
4.413001
3.527815
1.815251
1.81263
0.156434
3.295138
2.496446
1.891755
3.269237
3.459535
-1.417168
4
train
H0
H22
500
500
20
20.6
19.6
-0.201766
0.246679
-0.228994
-0.228976
0.855424
2.343342
0.952186
-0.228976
0.246679
0.504269
0.05243
0.007164
0.06205
0.46859
0.517489
-0.258126
4
train
H1
H22
500
500
20
17.8
21.6
0.82908
-0.82549
-0.522122
-0.521484
1.176398
1.617738
0.983389
0.82908
0.82549
0.39587
0.271945
0.66295
0.680715
0.001025
0.000196
0.84902
4
train
H0
H22
1,000
1,000
20
18.4
21.3
1.276195
-1.21162
-1.272516
-1.272152
2.239723
10.870913
1.70506
-1.272152
1.272516
0.012445
1.618372
2.045703
1.465835
0.883722
0.974177
1.245581
4
train
H1
H22
1,000
1,000
20
22.9
19.5
-3.564621
3.503125
3.67845
3.694455
14.010097
15.313476
13.904284
3.694455
3.67845
0.000299
13.648998
13.521601
12.28534
8.116207
8.330511
-3.616495