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
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0
109
BN_MCE_test
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143
BN_SCE_test
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0
114
Q_test
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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
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4
train
H0
H18
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train
H1
H18
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train
H0
H18
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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
H18
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train
H1
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train
H0
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train
H1
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
1,000
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train
H0
H18
20
20
20
25
15
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train
H1
H18
20
20
20
25
30
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train
H0
H18
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train
H1
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train
H0
H18
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4
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train
H1
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train
H0
H18
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train
H1
H18
75
75
20
13.333333
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train
H0
H18
100
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train
H1
H18
100
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14
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train
H0
H18
150
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20
20
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train
H1
H18
150
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train
H0
H18
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train
H1
H18
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train
H0
H18
300
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train
H1
H18
300
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21
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train
H0
H18
500
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train
H1
H18
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train
H0
H18
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train
H1
H18
1,000
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20
20.7
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train
H0
H18
20
20
30
25
10
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train
H1
H18
20
20
30
25
40
0.21629
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train
H0
H18
30
30
30
36.666667
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train
H1
H18
30
30
30
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train
H0
H18
50
50
30
26
22
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train
H1
H18
50
50
30
28
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train
H0
H18
75
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train
H1
H18
75
75
30
40
20
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train
H0
H18
100
100
30
30
25
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train
H1
H18
100
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30
30
25
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train
H0
H18
150
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train
H1
H18
150
150
30
27.333333
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train
H0
H18
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200
30
30
27
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train
H1
H18
200
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30
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train
H0
H18
300
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train
H1
H18
300
300
30
29.333333
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0.512317
0.379356
2.545612
0.53067
-0.28629
0.512831
0.467104
0.262468
0.175887
0.0493
0.544372
0.570042
-0.227371
4
train
H0
H18
500
500
30
32.4
32
0.292983
-0.388324
0.11151
0.111557
1.820974
4.872273
1.40268
0.111557
0.388324
0.181392
0.012445
0.077784
0.150771
0.527466
0.480479
0.396636
4
train
H1
H18
500
500
30
29.8
28.8
1.423702
-1.565487
-0.791161
-0.790835
3.449401
5.823777
4.22277
1.423702
1.565487
0.109804
0.62542
1.496439
2.451783
0.110117
0.103117
1.599073
4
train
H0
H18
1,000
1,000
30
31.7
31.7
-1.318957
1.51074
0.589959
0.589941
5.006448
5.585909
5.200343
-1.318957
1.51074
0.074261
0.34803
1.389608
2.282855
0.487963
0.49224
-1.545721
4
train
H1
H18
1,000
1,000
30
32.6
28.7
0.62896
-0.804704
0.046236
0.046235
3.076871
3.903455
3.532546
0.046235
0.804704
0.170969
0.002138
0.20155
0.647607
1.09497
1.081109
0.82381
4
train
H0
H18
20
20
40
30
45
0.65578
-0.587127
-0.809664
-0.807331
0.890602
1.249791
0.868041
-0.807331
0.809664
0.533503
0.651784
0.472776
0.344976
0.611317
0.584737
0.622668
4
train
H1
H18
20
20
40
55
45
0.669729
-1.002359
-0.154873
-0.154497
5.777321
5.855036
5.811486
-0.154497
1.002359
0.054708
0.023869
0.426699
1.012373
1.136538
1.046906
1.015986
4
train
H0
H18
30
30
40
56.666667
40
-1.20099
1.387931
0.919643
0.909502
2.303711
2.640929
2.362498
-1.20099
1.387931
0.143877
0.827194
1.463631
1.947018
0.020664
0.020289
-1.461505
4
train
H1
H18
30
30
40
23.333333
40
2.3282
-2.214126
-2.516007
-2.661246
7.784943
13.907692
7.581913
-2.661246
2.516007
0.003034
7.08223
5.747485
4.968867
6.553409
6.28725
2.342044
4
train
H0
H18
50
50
40
46
36
-0.223883
0.198098
0.200232
0.201352
0.062374
0.515887
0.051806
-0.223883
0.200232
0.83529
0.040543
0.054716
0.03925
0.052266
0.063571
-0.207922
4
train
H1
H18
50
50
40
44
46
0.907899
-1.042359
-0.569893
-0.562907
1.901208
1.846422
1.894296
-0.562907
1.042359
0.286196
0.316864
0.770046
1.087208
0.091189
0.053764
1.066504
4
train
H0
H18
75
75
40
48
48
-0.455709
0.272534
0.634795
0.638223
0.684082
3.047841
0.782813
0.638223
0.634795
0.384308
0.407328
0.240825
0.074203
0.815565
1.000493
-0.269341
4
train
H1
H18
75
75
40
40
38.666667
0.350043
-0.318141
-0.364328
-0.364059
0.133261
0.19373
0.132615
-0.364059
0.364328
0.74124
0.132539
0.121442
0.101081
0.043702
0.038012
0.330211
4
train
H0
H18
100
100
40
35
41
0.572815
-0.510674
-0.628192
-0.625552
0.397897
4.205649
0.39691
0.572815
0.628192
0.240097
0.391316
0.442027
0.260461
0.266614
0.357675
0.527789
4
train
H1
H18
100
100
40
42
38
0.58039
-0.559048
-0.48188
-0.484164
0.398057
0.487193
0.377458
-0.484164
0.559048
0.559852
0.234415
0.307999
0.312234
0.012947
0.015964
0.583061
4
train
H0
H18
150
150
40
46
32
-1.622296
1.543689
1.79617
1.797628
3.380469
5.153422
3.318496
-1.622296
1.79617
0.10947
3.231466
2.654073
2.38087
2.98789
2.928849
-1.60058
4
train
H1
H18
150
150
40
32
44.666667
3.144087
-3.197194
-2.672541
-2.675744
11.135503
11.81452
10.821619
3.144087
3.197194
0.001037
7.159604
9.884156
10.259827
1.692257
1.910365
3.280422
4
train
H0
H18
200
200
40
37.5
34.5
-0.332274
0.446874
0.015404
0.015425
1.047319
1.068958
1.024093
0.015425
0.446874
0.599268
0.000238
0.09065
0.199585
0.235766
0.233742
-0.458467
4
train
H1
H18
200
200
40
38
41
1.255687
-1.354481
-0.981534
-0.980817
2.11587
2.161849
2.095514
-0.980817
1.354481
0.162351
0.962003
1.535104
1.835125
0.056861
0.048993
1.397207
4
train
H0
H18
300
300
40
38
39.333333
0.725722
-0.644387
-0.956572
-0.957613
1.347456
1.667853
1.293847
-0.957613
0.956572
0.508088
0.917022
0.569669
0.415194
1.205497
1.152954
0.661818
4
train
H1
H18
300
300
40
41.666667
39
0.616507
-0.833939
0.002104
0.002103
3.977249
3.792912
3.945006
0.002103
0.833939
0.139108
0.000004
0.280521
0.695665
1.204338
1.118975
0.858173
4
train
H0
H18
500
500
40
40
39.8
0.227719
-0.288533
-0.072527
-0.072434
0.311761
0.376506
0.282647
-0.072434
0.288533
0.767672
0.005247
0.053845
0.083228
0.0667
0.055978
0.295421
4
train
H1
H18
500
500
40
35.6
41
1.735967
-1.679276
-1.768793
-1.770802
3.137366
5.194201
3.165882
-1.770802
1.768793
0.082771
3.135738
2.786373
2.820527
1.91974
1.905821
1.73483
4
train
H0
H18
1,000
1,000
40
41.3
41
-0.45884
0.424041
0.392824
0.393225
0.339647
3.519166
0.232819
0.393225
0.424041
0.318285
0.154626
0.271068
0.179801
0.031793
0.036883
-0.43674
4
train
H1
H18
1,000
1,000
40
40.6
40.3
3.455998
-4.011536
-2.008471
-2.011466
26.69635
31.772602
28.662884
3.455998
4.011536
0.000001
4.045994
10.502422
16.135754
0.727333
0.717085
4.147997
4
train
H0
H18
20
20
50
55
35
-1.546327
1.651
1.492027
1.46659
2.285424
6.41874
2.37492
-1.546327
1.651
0.081866
2.150886
2.408038
2.720992
1.043387
0.951056
-1.739959
4
train
H1
H18
20
20
50
55
35
0.289873
-0.678213
0.166642
0.163197
2.112452
5.150143
2.399568
0.163197
0.678213
0.161127
0.026633
0.102939
0.4662
1.271003
1.368202
0.676815
4
train
H0
H18
30
30
50
40
46.666667
0.026107
0.148733
-0.152451
-0.151971
0.217084
0.286479
0.230119
0.026107
0.152451
0.879469
0.023095
0.000166
0.022081
0.072192
0.057981
-0.151642
4
train
H1
H18
30
30
50
43.333333
43.333333
1.315709
-1.376248
-1.026018
-1.036843
2.670021
3.150649
2.739366
1.315709
1.376248
0.156854
1.075044
1.529596
1.899537
0.017919
0.021036
1.415732
4
train
H0
H18
50
50
50
44
42
0.720185
-0.650168
-0.898973
-0.895206
1.099659
2.443438
0.991357
-0.895206
0.898973
0.485328
0.801393
0.454007
0.423901
0.795004
0.66178
0.697759
4
train
H1
H18
50
50
50
58
56
1.991302
-2.263701
-1.627646
-1.699093
6.50993
6.542076
6.525409
-1.699093
2.263701
0.016748
2.886918
4.353794
5.21033
0.148154
0.174021
2.392203
4
train
H0
H18
75
75
50
41.333333
45.333333
-0.299773
0.425027
0.079774
0.079339
0.609922
0.719986
0.609282
0.079339
0.425027
0.663605
0.006295
0.105126
0.180373
0.090395
0.093177
-0.434941
4
train
H1
H18
75
75
50
42.666667
42.666667
0.763332
-0.802989
-0.657989
-0.656876
0.627024
0.729799
0.643988
0.763332
0.802989
0.408608
0.431486
0.57101
0.644776
0.038724
0.04083
0.826345
4
train
H0
H18
100
100
50
47
51
0.011356
-0.357171
0.397483
0.404155
2.402577
4.458583
2.699849
0.011356
0.397483
0.216014
0.163341
0.001748
0.127699
1.621104
1.685641
0.372557
4
train
H1
H18
100
100
50
50
49
0.538917
-0.699228
-0.328446
-0.327212
0.607855
3.676415
0.79316
0.538917
0.699228
0.298592
0.107068
0.253949
0.488943
0.064627
0.113092
0.732705
4
train
H0
H18
150
150
50
52.666667
50
0.405331
-0.801825
0.209414
0.209174
6.611256
7.373935
6.38139
0.209174
0.801825
0.041143
0.043754
0.214724
0.64283
2.285569
2.140227
0.834996
4
train
H1
H18
150
150
50
46.666667
40
0.237299
-0.46045
0.232657
0.232236
2.560926
2.598738
2.485575
0.232236
0.46045
0.288579
0.053934
0.049201
0.211919
1.118738
0.979155
0.471199
4
train
H0
H18
200
200
50
47
51
0.198092
0.109473
-0.727897
-0.725927
4.253457
4.151614
4.240491
-0.725927
0.727897
0.120002
0.52697
0.040934
0.01198
2.677897
2.487464
-0.108671
4
train
H1
H18
200
200
50
52
53.5
1.929634
-2.140066
-1.552388
-1.559742
5.407813
6.021554
5.527355
-1.559742
2.140066
0.02492
2.432794
3.72226
4.593494
0.131098
0.097308
2.242637
4
train
H0
H18
300
300
50
45.666667
49
1.158637
-1.262613
-0.921509
-0.92047
1.966728
1.968064
1.954731
-0.92047
1.262613
0.193962
0.847265
1.338652
1.593982
0.030748
0.038779
1.298946
4
train
H1
H18
300
300
50
54.666667
49
0.429958
-0.824847
0.076894
0.076948
3.753761
10.176893
4.247278
0.076948
0.824847
0.017121
0.005921
0.157828
0.681319
1.431933
1.475489
0.861572
4
train
H0
H18
500
500
50
49.2
49
0.643777
-0.780287
-0.439187
-0.438951
0.792848
2.017327
0.907757
-0.438951
0.780287
0.418787
0.192678
0.371411
0.608779
0.017387
0.017252
0.808527
4
train
H1
H18
500
500
50
54
49.4
0.434148
-0.828762
0.08365
0.083668
3.864264
7.070962
4.234045
0.083668
0.828762
0.06967
0.007
0.188068
0.687482
1.474937
1.512078
0.863527
4
train
H0
H18
1,000
1,000
50
49.4
47.3
-0.592028
0.416802
0.838126
0.837885
1.367222
1.374637
1.362355
0.837885
0.838126
0.506021
0.702052
0.340546
0.173699
1.383596
1.37472
-0.432676
4
train
H1
H18
1,000
1,000
50
49.5
51.3
3.49933
-3.516875
-3.319433
-3.3371
12.079418
14.702027
12.338157
-3.3371
3.516875
0.000241
11.136239
11.762464
12.402805
4.692197
4.649784
3.671813