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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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
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Q_test
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MAX_Value_test
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0
10.2
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
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
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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
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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
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
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train
H0
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train
H1
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train
H0
H24
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train
H1
H24
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train
H0
H24
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train
H1
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train
H0
H24
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train
H1
H24
150
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22
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train
H0
H24
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train
H1
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train
H0
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train
H1
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train
H0
H24
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train
H1
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train
H0
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train
H1
H24
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20
18.1
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train
H0
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20
20
30
20
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train
H1
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20
20
30
15
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train
H0
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train
H1
H24
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36.666667
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train
H0
H24
50
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train
H1
H24
50
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30
30
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train
H0
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train
H1
H24
75
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train
H0
H24
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train
H1
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25
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train
H0
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train
H1
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train
H0
H24
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train
H1
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train
H0
H24
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train
H1
H24
300
300
30
31
32.333333
0.906418
-0.680864
-1.536212
-1.54102
3.589677
12.277857
4.581563
-1.54102
1.536212
0.006489
2.374744
1.466673
0.46461
4.432973
4.793576
0.701636
4
train
H0
H24
500
500
30
30.2
30.8
1.379853
-1.380394
-1.290818
-1.290823
1.879042
1.871906
1.905003
1.379853
1.380394
0.156049
1.666223
1.857592
1.905524
0.664953
0.701329
1.418487
4
train
H1
H24
500
500
30
31.6
29.6
0.533335
-0.513717
-0.607965
-0.608297
0.377363
1.837765
0.378759
0.533335
0.607965
0.59851
0.370025
0.446552
0.264162
0.333261
0.352166
0.526544
4
train
H0
H24
1,000
1,000
30
31.2
28
-2.441711
2.378486
2.522062
2.524493
6.382244
7.791953
6.436747
2.524493
2.522062
0.014516
6.373066
5.830747
5.660807
4.039881
4.0043
-2.444242
4
train
H1
H24
1,000
1,000
30
28.5
30.5
0.11655
0.045879
-0.670584
-0.670359
1.361068
11.500525
2.399332
-0.670359
0.670584
0.009306
0.449381
0.191515
0.002105
1.736993
1.801006
-0.046716
4
train
H0
H24
20
20
40
60
45
-2.048388
2.069997
1.892849
1.95683
4.651798
5.392312
4.602941
-2.048388
2.069997
0.025317
3.829182
4.377195
4.467192
1.379297
1.553457
-2.23653
4
train
H1
H24
20
20
40
30
35
1.175832
-1.090153
-1.271875
-1.305984
1.756247
2.151391
1.771829
-1.305984
1.271875
0.251786
1.705593
1.468715
1.188743
1.208958
1.260812
1.146022
4
train
H0
H24
30
30
40
40
50
0.400057
-0.508039
-0.274791
-0.274292
0.279247
0.642755
0.308236
0.400057
0.508039
0.589612
0.075236
0.172086
0.256622
0.032445
0.034592
0.539398
4
train
H1
H24
30
30
40
36.666667
40
0.832106
-0.900159
-0.678337
-0.674343
0.896355
1.125565
0.859709
0.832106
0.900159
0.3563
0.454738
0.712969
0.810394
0.025707
0.041619
0.922437
4
train
H0
H24
50
50
40
40
48
0.637151
-0.683039
-0.463102
-0.460097
0.593802
1.648913
0.665745
-0.460097
0.683039
0.474724
0.21169
0.318901
0.45927
0.000514
0.005367
0.714814
4
train
H1
H24
50
50
40
46
44
-0.207456
0.214497
0.002582
0.002559
0.575104
1.307181
0.48585
0.002559
0.214497
0.727429
0.000007
0.027051
0.045884
0.113589
0.06558
-0.219288
4
train
H0
H24
75
75
40
38.666667
33.333333
0.304346
-0.332275
-0.146497
-0.146308
0.370611
1.323059
0.280444
-0.146308
0.332275
0.723665
0.021406
0.098285
0.108959
0.043531
0.03351
0.337371
4
train
H1
H24
75
75
40
50.666667
40
-1.87974
2.114523
1.386119
1.384794
6.342167
6.905712
6.182457
1.384794
2.114523
0.028657
1.917655
3.536958
4.484259
0.004623
0.000355
-2.188168
4
train
H0
H24
100
100
40
45
39
-1.805823
1.691887
1.869991
1.882344
3.563159
4.760948
3.547654
-1.805823
1.869991
0.071523
3.543219
3.446925
2.87573
2.468536
2.609226
-1.802142
4
train
H1
H24
100
100
40
41
35
0.333896
-0.373797
-0.172706
-0.173205
0.487874
4.005371
0.323112
-0.173205
0.373797
0.260885
0.03
0.140643
0.138696
0.032706
0.020851
0.384078
4
train
H0
H24
150
150
40
37.333333
42
1.852697
-1.836149
-1.756737
-1.761239
3.446245
3.43273
3.441281
-1.761239
1.836149
0.053361
3.101962
3.401325
3.376785
1.366836
1.327379
1.931986
4
train
H1
H24
150
150
40
46.666667
41.333333
0.223021
-0.165427
-0.347828
-0.351617
0.256348
0.722457
0.291508
-0.351617
0.347828
0.86437
0.123634
0.074278
0.02739
0.247941
0.237321
0.167975
4
train
H0
H24
200
200
40
45
44.5
1.337152
-1.517751
-0.786734
-0.788517
4.884724
5.819434
4.634944
-0.788517
1.517751
0.098522
0.621759
1.720676
2.310937
0.147297
0.11144
1.599211
4
train
H1
H24
200
200
40
38
48
1.576622
-1.338124
-1.952664
-1.953437
4.800442
5.749843
4.916642
-1.953437
1.952664
0.085579
3.815917
2.720259
1.790875
4.641565
4.7253
1.394506
4
train
H0
H24
300
300
40
37.333333
40.333333
0.910894
-0.941775
-0.812355
-0.811489
0.781261
2.55345
0.862031
-0.811489
0.941775
0.327045
0.658514
0.715601
0.886468
0.165012
0.149715
0.980083
4
train
H1
H24
300
300
40
37.333333
43.333333
1.634909
-1.448544
-1.843021
-1.846246
3.448386
8.155395
3.561262
1.634909
1.843021
0.042907
3.408624
3.058603
2.099046
3.076148
3.101554
1.499788
4
train
H0
H24
500
500
40
38.6
36.6
0.218169
-0.531977
0.535293
0.535093
4.387491
6.837699
4.986405
0.535093
0.535293
0.077255
0.286324
0.007975
0.28288
2.595675
2.718711
0.54885
4
train
H1
H24
500
500
40
39.8
39.4
-0.166664
0.438218
-0.278988
-0.279186
1.20188
11.523548
1.879622
-0.166664
0.438218
0.009207
0.077945
0.000054
0.192151
0.939376
0.969652
-0.452598
4
train
H0
H24
1,000
1,000
40
38.3
39.7
0.257831
-0.172968
-0.487221
-0.4869
0.72529
1.172914
0.633177
-0.4869
0.487221
0.72863
0.237072
0.064209
0.029897
0.53599
0.514921
0.179451
4
train
H1
H24
1,000
1,000
40
38
37.3
-0.05125
0.386023
-0.800499
-0.801439
5.443255
9.215462
6.668752
-0.05125
0.800499
0.026559
0.642305
0.051487
0.149117
4.049688
4.042943
-0.400503
4
train
H0
H24
20
20
50
45
40
-0.681498
0.692478
0.587509
0.582912
0.549773
0.687119
0.531514
-0.681498
0.692478
0.467536
0.339786
0.446385
0.478891
0.133844
0.139929
-0.726494
4
train
H1
H24
20
20
50
45
50
-0.04876
0.032453
0.077258
0.076156
0.015149
0.184075
0.018255
0.076156
0.077258
0.969312
0.0058
0.004138
0.001046
0.107575
0.134818
-0.038471
4
train
H0
H24
30
30
50
60
50
-0.073323
-0.26582
0.33665
0.333069
1.25186
1.605152
1.299742
-0.073323
0.33665
0.522113
0.110935
0.001082
0.065383
0.906854
0.895341
0.259582
4
train
H1
H24
30
30
50
53.333333
26.666667
-1.442895
1.298029
1.696902
1.720212
3.80311
8.585016
3.636801
1.720212
1.696902
0.035349
2.959129
2.059052
1.677446
3.665488
3.474614
-1.322651
4
train
H0
H24
50
50
50
48
50
-0.446113
0.559493
0.297441
0.295856
0.438339
0.590983
0.459111
0.295856
0.559493
0.559548
0.087531
0.20854
0.312807
0.000485
0.00047
-0.583513
4
train
H1
H24
50
50
50
52
46
-1.48895
1.483053
1.402933
1.418401
2.2646
2.356005
2.248286
-1.48895
1.483053
0.119585
2.011863
2.253253
2.20866
0.97674
1.072542
-1.556517
4
train
H0
H24
75
75
50
52
49.333333
-0.759264
0.956384
0.432133
0.428491
1.675403
1.641281
1.710379
0.428491
0.956384
0.315221
0.183604
0.600186
0.913929
0.126575
0.09162
-1.004327
4
train
H1
H24
75
75
50
46.666667
66.666667
2.966428
-2.781655
-2.938069
-3.009
9.102326
9.733193
9.092323
2.966428
2.938069
0.00313
9.054079
8.78159
7.744269
5.461535
5.546591
2.954649
4
train
H0
H24
100
100
50
45
49
0.125793
-0.092625
-0.227815
-0.226435
0.162348
0.142308
0.167814
-0.226435
0.227815
0.919517
0.051273
0.027178
0.008572
0.093685
0.065914
0.09862
4
train
H1
H24
100
100
50
43
51
0.914257
-0.41211
-1.657132
-1.664944
7.955889
10.443046
8.527905
-1.664944
1.657132
0.014067
2.772038
0.999596
0.170414
7.17316
7.244285
0.442744
4
train
H0
H24
150
150
50
48
54.666667
1.349516
-1.310466
-1.33504
-1.334993
1.836409
1.84659
1.834519
1.349516
1.33504
0.161221
1.782208
1.841249
1.716939
0.876457
0.903299
1.400976
4
train
H1
H24
150
150
50
50
48
0.181747
-0.369808
0.13828
0.138382
1.272795
1.356488
1.307935
0.138382
0.369808
0.519979
0.01915
0.035753
0.13693
0.63105
0.619746
0.391014
4
train
H0
H24
200
200
50
46
48.5
0.588503
-0.517296
-0.679821
-0.677787
0.513519
0.533444
0.513305
-0.677787
0.679821
0.584141
0.459395
0.336233
0.267463
0.401982
0.463542
0.547346
4
train
H1
H24
200
200
50
56
54
0.274211
-0.050028
-0.520411
-0.528091
1.495022
2.976956
1.588097
-0.528091
0.520411
0.395192
0.27888
0.08197
0.002504
0.996783
1.013617
0.042817
4
train
H0
H24
300
300
50
50.333333
54
0.182731
-0.234986
-0.137891
-0.137774
0.036558
1.863534
0.058109
-0.137774
0.234986
0.601208
0.018982
0.021508
0.055204
0.000088
0.001698
0.248493
4
train
H1
H24
300
300
50
54.333333
48
-0.962487
1.150695
0.58434
0.585547
2.481459
9.103509
2.935507
0.585547
1.150695
0.027946
0.342865
0.675144
1.326475
0.179533
0.181118
-1.20901
4
train
H0
H24
500
500
50
53.4
52.6
-0.234497
0.303383
0.169158
0.169027
0.0837
0.930997
0.10918
0.169027
0.303383
0.74684
0.02857
0.055527
0.092111
0.000222
0.000196
-0.322809
4
train
H1
H24
500
500
50
52.6
51.8
-0.319047
0.414888
0.188467
0.188248
0.254289
1.272965
0.31892
0.188248
0.414888
0.661752
0.035437
0.075437
0.172119
0.010275
0.008989
-0.437496
4
train
H0
H24
1,000
1,000
50
53.6
50.8
-1.85315
1.81394
1.76612
1.766325
3.506094
3.935672
3.442882
-1.85315
1.81394
0.054316
3.119902
3.558006
3.291352
1.344694
1.366119
-1.924311
4
train
H1
H24
1,000
1,000
50
51.8
51.5
-1.008424
1.743158
-0.069477
-0.069489
16.393118
24.88159
17.943548
-0.069489
1.743158
0.000016
0.004829
0.889703
3.039981
6.144791
6.167573
-1.821675