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
50
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logrank_test
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CoxMantel_test
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0
109
BN_MCE_test
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0
143
BN_SCE_test
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0
114
Q_test
float64
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MAX_Value_test
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0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
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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
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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
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train
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train
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train
H1
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H0
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train
H1
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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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H0
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train
H1
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train
H0
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train
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train
H1
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train
H0
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train
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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
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train
H1
H05
300
300
40
36.333333
39.666667
2.706799
-2.649943
-2.654436
-2.679258
7.493111
7.66277
7.46139
2.706799
2.654436
0.006359
7.178425
7.514356
7.052591
3.901792
3.951928
2.728674
2
train
H0
H05
500
500
40
46.2
41.8
-1.51222
1.468556
1.396451
1.395468
2.448902
4.316356
2.321334
-1.51222
1.468556
0.129726
1.947331
2.373614
2.15648
0.703298
0.761796
-1.515183
2
train
H1
H05
500
500
40
41.4
35.8
1.594011
-1.603384
-1.401245
-1.417829
2.709817
2.828135
2.662784
1.594011
1.603384
0.098891
2.01024
2.482959
2.575334
0.542753
0.569777
1.650256
2
train
H0
H05
1,000
1,000
40
39.1
41.9
2.25458
-2.225898
-2.135121
-2.136132
5.03601
5.018166
5.08839
-2.136132
2.225898
0.021778
4.563062
4.882388
4.957003
1.961251
2.026407
2.294212
2
train
H1
H05
1,000
1,000
40
41.4
40.8
4.277987
-4.361018
-3.869909
-3.924476
18.570684
19.889324
18.840095
4.277987
4.361018
0.000007
15.401515
18.141967
19.093754
5.441885
5.414044
4.492222
2
train
H0
H05
20
20
50
60
40
-0.548041
0.67277
0.378929
0.378511
0.654805
1.020729
0.68435
-0.548041
0.67277
0.446658
0.14327
0.301693
0.475156
0.018526
0.021049
-0.760999
2
train
H1
H05
20
20
50
55
50
0.7756
-0.994579
-0.497078
-0.495385
2.002136
2.286243
1.948674
-0.495385
0.994579
0.303139
0.245406
0.706716
0.966389
0.126023
0.070213
1.029726
2
train
H0
H05
30
30
50
46.666667
56.666667
0.211163
-0.009076
-0.456582
-0.452928
1.3293
1.590334
1.291648
-0.452928
0.456582
0.52423
0.205143
0.029486
0.000082
0.716477
0.637196
0.010606
2
train
H1
H05
30
30
50
63.333333
63.333333
0.51705
-0.521193
-0.450622
-0.452742
0.413687
0.799338
0.40477
0.51705
0.521193
0.58443
0.204975
0.260273
0.271248
0.000607
0.00007
0.546925
2
train
H0
H05
50
50
50
50
52
-0.851904
1.031297
0.57094
0.573815
2.235024
2.335253
2.2116
-0.851904
1.031297
0.285028
0.329264
0.729654
1.069327
0.056832
0.055255
-1.069093
2
train
H1
H05
50
50
50
54
48
0.858227
-1.024222
-0.502779
-0.505788
2.994052
4.387538
3.120968
-0.505788
1.024222
0.210034
0.255821
0.670102
1.0566
0.257252
0.228836
1.061596
2
train
H0
H05
75
75
50
57.333333
49.333333
-0.590092
0.471171
0.685562
0.682565
0.650397
6.040702
0.575934
0.682565
0.685562
0.109647
0.465894
0.205591
0.221696
0.577993
0.478226
-0.489266
2
train
H1
H05
75
75
50
57.333333
57.333333
0.020906
0.313187
-0.372164
-0.375463
3.568137
4.80851
3.463795
0.020906
0.372164
0.176948
0.140973
0.00221
0.098062
1.727888
1.673964
-0.352
2
train
H0
H05
100
100
50
61
58
-0.225527
-0.032526
0.47496
0.474279
1.740484
3.059632
1.817797
-0.225527
0.47496
0.382522
0.224941
0.042956
0.001057
1.396037
1.441285
0.027967
2
train
H1
H05
100
100
50
50
44
-0.3935
0.22514
0.648736
0.64676
1.052711
2.868021
1.17718
-0.3935
0.648736
0.412425
0.418298
0.210714
0.050637
1.173962
1.195076
-0.238692
2
train
H0
H05
150
150
50
52.666667
50.666667
-0.995517
0.923294
1.060234
1.064039
1.161101
1.178035
1.158531
1.064039
1.060234
0.334573
1.13218
0.969104
0.852646
1.120962
1.133131
-0.964943
2
train
H1
H05
150
150
50
50
46
0.853524
-0.806699
-0.899705
-0.90871
0.845803
1.561327
0.834426
-0.90871
0.899705
0.40668
0.825754
0.672794
0.65247
0.550413
0.548044
0.829751
2
train
H0
H05
200
200
50
54
49.5
-0.274124
0.177001
0.372182
0.371964
0.267565
0.400318
0.280324
0.371964
0.372182
0.854447
0.138358
0.067662
0.031313
0.33504
0.35936
-0.183447
2
train
H1
H05
200
200
50
44
52.5
3.221421
-3.266034
-3.030113
-3.07007
10.547154
10.653808
10.573995
3.221421
3.266034
0.000702
9.42533
10.571404
10.729665
3.999138
4.095311
3.388878
2
train
H0
H05
300
300
50
53.666667
49.666667
-0.960718
0.9869
0.931797
0.930562
0.909689
1.359035
0.922727
0.930562
0.9869
0.307443
0.865946
0.903469
0.973547
0.477218
0.445309
-1.020602
2
train
H1
H05
300
300
50
52.666667
49.333333
1.159501
-1.095847
-1.158945
-1.169202
1.391153
1.547421
1.383748
-1.169202
1.158945
0.252298
1.367034
1.387987
1.20442
0.736979
0.742
1.144785
2
train
H0
H05
500
500
50
49.4
49.2
-0.260821
0.39254
-0.004644
-0.004639
1.116252
1.271134
1.059654
-0.004639
0.39254
0.588707
0.000022
0.07025
0.154038
0.292675
0.277961
-0.405955
2
train
H1
H05
500
500
50
50.2
49.8
2.146132
-2.327382
-1.782766
-1.79342
5.867645
6.122391
5.925444
2.146132
2.327382
0.015578
3.216354
4.710279
5.427098
0.359261
0.360842
2.418665
2
train
H0
H05
1,000
1,000
50
50.3
49
0.375195
-0.478493
-0.21144
-0.211362
0.45264
0.713517
0.492769
-0.211362
0.478493
0.620038
0.044674
0.132674
0.228962
0.044504
0.040547
0.495796
2
train
H1
H05
1,000
1,000
50
49.6
52.8
5.317845
-5.479972
-4.831777
-4.898667
29.808426
30.138204
29.899607
5.317845
5.479972
0
23.99694
29.077707
30.170096
7.899423
7.934864
5.682397
2
train
H0
H06
20
20
0
0
0
0.595102
-0.595102
-1.011851
-1.031352
2.212298
7.964312
1.770941
0.595102
1.011851
0.046755
1.063688
0.535344
0.352449
1.691997
1.447684
0.602683
2
train
H1
H06
20
20
0
0
0
2.326308
-2.326308
-2.264618
-2.427104
5.895286
12.754388
5.98105
2.326308
2.326308
0.005199
5.890836
5.611403
5.567181
3.531572
3.359832
2.355943
2
train
H0
H06
30
30
0
0
0
0.754006
-0.754006
-1.006852
-1.014226
1.028958
5.304257
1.135413
-1.014226
1.006852
0.150826
1.028654
0.950599
0.567749
1.004617
1.353585
0.760369
2
train
H1
H06
30
30
0
0
0
1.759347
-1.759347
-1.956727
-2.020347
4.159288
5.800618
4.102145
-2.020347
1.956727
0.076031
4.081801
3.528659
3.116589
2.951305
2.838519
1.774194
2
train
H0
H06
50
50
0
0
0
1.413233
-1.413233
-1.052856
-1.044482
1.770305
3.321476
2.160849
1.413233
1.413233
0.155505
1.090943
1.583892
2.003743
0.146264
0.120495
1.420353
2
train
H1
H06
50
50
0
0
0
2.21981
-2.21981
-2.036755
-2.059201
4.939737
5.034682
5.015058
-2.059201
2.21981
0.025682
4.240311
4.906651
4.974404
1.774267
1.839229
2.230993
2
train
H0
H06
75
75
0
0
0
-0.528101
0.528101
0.34511
0.341993
0.488866
0.977765
0.336169
-0.528101
0.528101
0.598662
0.116959
0.267312
0.278535
0.006347
0.021631
-0.526326
2
train
H1
H06
75
75
0
0
0
1.775999
-1.775999
-0.820329
-0.818491
5.535464
5.264442
5.467348
1.775999
1.775999
0.06498
0.669927
2.128485
3.166037
0.119556
0.073705
1.770029
2
train
H0
H06
100
100
0
0
0
-0.561979
0.561979
0.094141
0.093432
1.031603
1.012682
0.96088
0.093432
0.561979
0.57317
0.00873
0.167171
0.31528
0.146948
0.117243
-0.56339
2
train
H1
H06
100
100
0
0
0
2.367644
-2.367644
-1.768471
-1.76867
5.249702
6.161367
6.018753
2.367644
2.367644
0.017616
3.128195
4.580042
5.640845
0.510705
0.501567
2.373585
2
train
H0
H06
150
150
0
0
0
0.650916
-0.650916
-0.550876
-0.550558
0.460674
1.281302
0.424704
-0.550558
0.650916
0.514399
0.303114
0.401117
0.423494
0.085737
0.123854
0.652004
2
train
H1
H06
150
150
0
0
0
2.240269
-2.240269
-1.42865
-1.425854
4.56524
7.615484
6.167515
2.240269
2.240269
0.024832
2.03306
3.528992
5.040812
0.073182
0.058569
2.244012
2
train
H0
H06
200
200
0
0
0
-2.459038
2.459038
2.470167
2.491276
6.359241
8.115282
6.551576
-2.459038
2.470167
0.013812
6.206458
6.267115
6.070055
3.403482
3.324725
-2.462118
2
train
H1
H06
200
200
0
0
0
2.085382
-2.085382
-0.553227
-0.552305
6.202783
14.152483
10.83964
2.085382
2.085382
0.002705
0.305041
1.778102
4.372989
1.072898
1.192124
2.087994
2
train
H0
H06
300
300
0
0
0
0.844054
-0.844054
-0.884142
-0.882604
0.778991
1.262484
0.803298
-0.882604
0.884142
0.398246
0.778991
0.696742
0.712204
0.443751
0.410194
0.844758
2
train
H1
H06
300
300
0
0
0
2.336691
-2.336691
-1.293939
-1.294824
7.883738
7.448292
7.700966
2.336691
2.336691
0.019354
1.676569
4.051453
5.470846
0.003461
0.000145
2.338641
2
train
H0
H06
500
500
0
0
0
1.166285
-1.166285
-0.931795
-0.93108
1.271374
1.888997
1.386803
-0.93108
1.166285
0.243263
0.866911
1.208108
1.360154
0.191771
0.174418
1.166869
2
train
H1
H06
500
500
0
0
0
3.579002
-3.579002
-2.184173
-2.186277
12.572815
19.355088
16.314161
3.579002
3.579002
0.000231
4.779806
9.003421
12.856415
0.083055
0.067814
3.580793
2
train
H0
H06
1,000
1,000
0
0
0
-1.101743
1.101743
1.674267
1.680005
4.406768
7.724416
3.356817
-1.101743
1.674267
0.052064
2.822417
1.461703
1.213879
3.351186
3.280111
-1.102019
2
train
H1
H06
1,000
1,000
0
0
0
5.469377
-5.469377
-3.964446
-3.983042
29.949229
27.150375
32.499035
5.469377
5.469377
0
15.864626
24.568261
30.037188
2.378691
2.497042
5.470745