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
50
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logrank_test
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CoxMantel_test
float64
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7.03
BN_GPH_test
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0
109
BN_MCE_test
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0
143
BN_SCE_test
float64
0
114
Q_test
float64
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10.1
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
2
train
H0
H13
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train
H1
H13
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train
H0
H13
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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
H13
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train
H0
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train
H1
H13
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train
H0
H13
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20
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train
H1
H13
20
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train
H0
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train
H1
H13
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train
H0
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50
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train
H1
H13
50
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train
H0
H13
75
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train
H1
H13
75
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train
H0
H13
100
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train
H1
H13
100
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train
H0
H13
150
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train
H1
H13
150
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12
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train
H0
H13
200
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6
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train
H1
H13
200
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train
H0
H13
300
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train
H1
H13
300
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train
H0
H13
500
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train
H1
H13
500
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train
H0
H13
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train
H1
H13
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train
H0
H13
20
20
20
15
20
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train
H1
H13
20
20
20
25
20
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train
H0
H13
30
30
20
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20
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train
H1
H13
30
30
20
20
20
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train
H0
H13
50
50
20
20
22
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train
H1
H13
50
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train
H0
H13
75
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20
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train
H1
H13
75
75
20
29.333333
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train
H0
H13
100
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20
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train
H1
H13
100
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train
H0
H13
150
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train
H1
H13
150
150
20
12
22
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train
H0
H13
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train
H1
H13
200
200
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15
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train
H0
H13
300
300
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19
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2
train
H1
H13
300
300
20
18.333333
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1.705182
1.664535
1.746214
0.911412
1.214321
0.384679
1.474301
1.074143
0.727015
1.64694
1.614224
0.869307
2
train
H0
H13
500
500
20
20
21.4
2.791185
-2.79764
-2.414805
-2.420878
8.119018
8.228815
7.933948
2.791185
2.79764
0.004452
5.860648
7.59405
7.845022
1.816509
1.861123
2.84419
2
train
H1
H13
500
500
20
23
18
-0.135566
0.191351
-0.292468
-0.292915
0.957173
0.902502
1.084478
-0.292915
0.292468
0.581445
0.085799
0.000638
0.036628
0.558904
0.547594
-0.196215
2
train
H0
H13
1,000
1,000
20
20.2
19.8
0.525352
-0.557014
-0.250363
-0.250332
0.608218
0.638337
0.591314
-0.250332
0.557014
0.571571
0.062666
0.206305
0.310262
0.031891
0.026251
0.56574
2
train
H1
H13
1,000
1,000
20
20.1
18.2
0.089443
0.092441
-1.357396
-1.361211
7.638495
12.861855
9.795691
-1.361211
1.357396
0.004945
1.852895
0.385361
0.008552
6.948735
6.986401
-0.095411
2
train
H0
H13
20
20
30
10
20
1.18084
-1.213144
-0.905284
-0.892072
1.332576
3.227237
1.564851
1.18084
1.213144
0.20425
0.795792
1.199505
1.481747
0.055458
0.035696
1.269536
2
train
H1
H13
20
20
30
30
30
-0.581401
0.632101
0.372567
0.369339
0.572766
2.406336
0.679252
0.369339
0.632101
0.492456
0.136412
0.237207
0.398921
0.000109
0.006024
-0.649234
2
train
H0
H13
30
30
30
30
33.333333
0.007862
0.105428
-0.699809
-0.701448
4.65763
8.503812
4.085352
-0.701448
0.699809
0.03667
0.49203
0.027394
0.01105
2.664993
2.315168
-0.060755
2
train
H1
H13
30
30
30
33.333333
33.333333
0.324949
-0.199631
-0.774114
-0.772877
1.837815
1.853228
1.917096
-0.772877
0.774114
0.383449
0.597338
0.209436
0.039804
1.262997
1.244549
0.242352
2
train
H0
H13
50
50
30
24
34
0.780236
-0.833922
-0.582802
-0.581675
0.901214
1.330377
0.838151
0.780236
0.833922
0.396622
0.338346
0.600451
0.694367
0.003625
0.013864
0.847669
2
train
H1
H13
50
50
30
32
34
0.865042
-0.821256
-1.042274
-1.054524
1.328195
1.385159
1.317635
-1.054524
1.042274
0.394387
1.112021
0.864035
0.675156
1.086462
1.041954
0.851689
2
train
H0
H13
75
75
30
29.333333
30.666667
0.112401
-0.132854
-0.003615
-0.003592
0.112437
0.162463
0.09069
-0.003592
0.132854
0.893718
0.000013
0.011507
0.017608
0.049517
0.053591
0.133601
2
train
H1
H13
75
75
30
18.666667
36
1.896701
-1.751504
-2.564996
-2.614514
9.792694
10.118531
9.58214
-2.614514
2.564996
0.008304
6.835681
4.524882
3.073864
9.215299
9.132585
1.772434
2
train
H0
H13
100
100
30
34
27
-2.13665
2.076297
2.154505
2.17573
4.856897
5.059533
4.827646
-2.13665
2.154505
0.032155
4.733802
4.782905
4.340997
2.817784
2.925244
-2.142474
2
train
H1
H13
100
100
30
27
23
-1.167902
1.298837
0.454552
0.454503
4.157579
4.27585
4.224951
-1.167902
1.298837
0.120938
0.206573
1.021171
1.687315
0.494255
0.425462
-1.3261
2
train
H0
H13
150
150
30
25.333333
32.666667
0.935351
-0.888483
-0.957113
-0.954215
0.954446
2.050514
0.924818
-0.954215
0.957113
0.360697
0.910525
0.9569
0.788571
0.502415
0.576069
0.914038
2
train
H1
H13
150
150
30
30
26.666667
-0.554707
0.541662
0.491523
0.491709
0.251034
8.364927
0.314829
-0.554707
0.541662
0.039042
0.241778
0.132328
0.293408
0.075032
0.035659
-0.551934
2
train
H0
H13
200
200
30
31
35
-0.864242
0.926111
0.570195
0.569968
1.219605
1.291198
1.213424
-0.864242
0.926111
0.339076
0.324864
0.683216
0.857921
0
0.000197
-0.955993
2
train
H1
H13
200
200
30
32
26.5
-0.863246
0.909738
0.705493
0.704325
0.62642
4.987723
0.826217
-0.863246
0.909738
0.172698
0.496073
0.569515
0.827151
0.102216
0.065254
-0.935249
2
train
H0
H13
300
300
30
31.666667
29.666667
-1.040889
1.120069
0.631563
0.631056
1.914096
1.871709
1.937809
0.631056
1.120069
0.248955
0.398231
0.919651
1.254993
0.013938
0.012203
-1.152892
2
train
H1
H13
300
300
30
30.333333
31.666667
0.422403
-0.245304
-1.128797
-1.132346
4.903941
5.373109
4.674523
-1.132346
1.128797
0.096592
1.282208
0.334516
0.060181
3.746672
3.640372
0.249885
2
train
H0
H13
500
500
30
27.6
33
0.445279
-0.418394
-0.422926
-0.422445
0.244829
1.16525
0.198534
-0.422445
0.422926
0.668091
0.17846
0.231817
0.17501
0.064335
0.087549
0.42877
2
train
H1
H13
500
500
30
27.6
29.8
1.513941
-1.3034
-2.170063
-2.177941
6.331527
8.346328
6.763953
-2.177941
2.170063
0.03398
4.743429
3.056717
1.700635
6.632637
6.686099
1.332698
2
train
H0
H13
1,000
1,000
30
29.7
32
1.259128
-1.199419
-1.47012
-1.470118
2.284051
2.489733
2.259934
1.259128
1.47012
0.219123
2.161246
1.75175
1.438546
1.933082
1.916609
1.228864
2
train
H1
H13
1,000
1,000
30
29.9
31.1
0.028376
0.232603
-1.087868
-1.088335
8.836755
8.713341
9.234857
-1.088335
1.087868
0.009878
1.184473
0.096899
0.054107
5.883183
5.815142
-0.236946
2
train
H0
H13
20
20
40
40
15
0.252228
-0.380768
0.288495
0.287401
2.61825
3.713917
2.349247
0.287401
0.380768
0.294059
0.0826
0.025084
0.145002
1.152417
0.919574
0.340734
2
train
H1
H13
20
20
40
75
20
-2.596231
2.424561
2.817886
2.817058
8.401468
8.395557
8.403319
-2.596231
2.817886
0.010641
7.935816
6.975806
5.896886
9.159531
9.348152
-2.554275
2
train
H0
H13
30
30
40
40
26.666667
0.029445
-0.060043
0.075548
0.074619
0.17414
1.564487
0.078706
0.029445
0.075548
0.667469
0.005568
0.007203
0.003601
0.097207
0.03679
0.05057
2
train
H1
H13
30
30
40
20
43.333333
1.366107
-1.225323
-1.773908
-1.76275
4.255423
6.876869
4.029759
1.366107
1.773908
0.075928
3.107286
1.979144
1.502344
3.687392
3.333953
1.296371
2
train
H0
H13
50
50
40
46
44
-0.123961
0.038544
0.343184
0.342901
0.730717
1.376665
0.662132
-0.123961
0.343184
0.711013
0.117581
0.016577
0.001481
0.620855
0.584121
-0.045842
2
train
H1
H13
50
50
40
36
38
-0.059715
0.107546
-0.0435
-0.043593
0.184752
2.168155
0.122138
-0.059715
0.107546
0.538248
0.0019
0.008069
0.011549
0.021945
0.015098
-0.113075
2
train
H0
H13
75
75
40
30.666667
32
2.003895
-2.012851
-1.766895
-1.789605
4.09128
3.987995
4.106196
-1.789605
2.012851
0.038737
3.202685
3.813855
4.075926
0.922736
1.061167
2.066966
2
train
H1
H13
75
75
40
38.666667
40
-0.413988
0.307061
0.626947
0.626807
0.683702
0.721324
0.703043
0.626807
0.626947
0.703617
0.392887
0.203258
0.094375
0.843725
0.842132
-0.327446
2
train
H0
H13
100
100
40
38
34
-1.048503
1.15384
0.725235
0.722966
1.797589
1.976871
1.799293
-1.048503
1.15384
0.233121
0.52268
1.042865
1.330881
0.000037
0.000252
-1.192358
2
train
H1
H13
100
100
40
35
37
-0.716687
0.978614
-0.141219
-0.140773
6.694213
6.656426
6.870106
-0.140773
0.978614
0.032224
0.019817
0.311424
0.958816
2.459393
2.324959
-0.999351
2
train
H0
H13
150
150
40
42
38.666667
0.348642
-0.495268
-0.127705
-0.127386
0.37218
3.834218
0.535711
0.348642
0.495268
0.279931
0.016227
0.100502
0.245313
0.079343
0.132929
0.513619
2
train
H1
H13
150
150
40
41.333333
42
0.159709
0.120641
-0.803787
-0.808106
4.998819
4.913987
5.093013
-0.808106
0.803787
0.078355
0.653035
0.0726
0.014551
3.153155
3.066627
-0.125754
2
train
H0
H13
200
200
40
42
37
-0.556866
0.413936
0.782412
0.780037
0.81833
2.174614
0.929648
-0.556866
0.782412
0.536966
0.608457
0.397779
0.171219
1.013337
1.088035
-0.430884
2
train
H1
H13
200
200
40
41.5
36
-0.622106
0.684878
0.499371
0.499309
0.363447
2.895091
0.47718
0.499309
0.684878
0.408085
0.249309
0.321969
0.468892
0.039804
0.02126
-0.706951
2
train
H0
H13
300
300
40
39
42.333333
1.71324
-1.595278
-1.907125
-1.914053
3.946293
7.243986
3.807202
-1.914053
1.907125
0.064515
3.663598
2.727561
2.547371
3.172943
2.985576
1.645818
2
train
H1
H13
300
300
40
42.666667
38.666667
-0.216717
0.326814
-0.06996
-0.070031
0.688204
2.111278
0.872425
-0.070031
0.326814
0.549634
0.004904
0.012499
0.106859
0.269535
0.296753
-0.342609
2
train
H0
H13
500
500
40
40.4
38.4
-0.197893
-0.007001
0.650691
0.650724
2.073219
2.887981
2.249922
0.650724
0.650691
0.324665
0.423442
0.078171
0.000047
1.70551
1.72886
0.006658
2
train
H1
H13
500
500
40
41
38.2
-0.523352
0.668474
0.297833
0.298026
0.361476
6.375537
0.67585
0.298026
0.668474
0.094702
0.08882
0.169345
0.446837
0.026769
0.038091
-0.689441
2
train
H0
H13
1,000
1,000
40
41.1
42.3
0.773846
-0.846787
-0.589631
-0.589339
0.80631
0.936106
0.836742
0.773846
0.846787
0.380202
0.34732
0.574272
0.716858
0.008988
0.009346
0.877524
2
train
H1
H13
1,000
1,000
40
41
39.9
0.68824
-0.533579
-0.965253
-0.966525
1.362453
3.06036
1.507761
-0.966525
0.965253
0.382412
0.93417
0.574356
0.284781
1.441931
1.515155
0.549987