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
real_perc1
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95
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float64
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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
float64
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
3
train
H0
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train
H1
H17
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train
H0
H17
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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
H17
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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
H17
300
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train
H0
H17
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train
H1
H17
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train
H0
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train
H1
H17
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40
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41
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train
H0
H17
20
20
50
35
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train
H1
H17
20
20
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train
H0
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train
H1
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train
H0
H17
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train
H1
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train
H0
H17
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train
H1
H17
75
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50
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train
H0
H17
100
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42
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train
H1
H17
100
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53
44
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train
H0
H17
150
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36
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train
H1
H17
150
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50
45.333333
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train
H0
H17
200
200
50
51.5
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train
H1
H17
200
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50
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train
H0
H17
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train
H1
H17
300
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train
H0
H17
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train
H1
H17
500
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51.6
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train
H0
H17
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train
H1
H17
1,000
1,000
50
53.5
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21.329145
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train
H0
H18
20
20
0
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train
H1
H18
20
20
0
0
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train
H0
H18
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30
0
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train
H1
H18
30
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0
0
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train
H0
H18
50
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train
H1
H18
50
50
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train
H0
H18
75
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train
H1
H18
75
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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
300
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0
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4.21819
4.225186
4.032814
1.307801
1.303005
0.133133
1.710344
0.554534
0.157966
3.680865
3.592349
-0.397866
3
train
H0
H18
500
500
0
0
0
0.335696
-0.335696
0.216468
0.216196
1.126584
1.200543
1.154404
0.216196
0.335696
0.561467
0.046741
0.019855
0.112656
0.523142
0.511035
0.335864
3
train
H1
H18
500
500
0
0
0
2.105707
-2.105707
-1.124154
-1.123899
5.942658
5.307538
6.449372
2.105707
2.105707
0.035138
1.26315
3.106329
4.43923
0.017016
0.009161
2.106761
3
train
H0
H18
1,000
1,000
0
0
0
1.698653
-1.698653
-1.206915
-1.206122
2.831194
3.081961
3.171142
1.698653
1.698653
0.089304
1.454731
2.352541
2.886111
0.156057
0.151015
1.699078
3
train
H1
H18
1,000
1,000
0
0
0
1.566772
-1.566772
-0.417897
-0.418103
4.278343
10.260815
6.044306
1.566772
1.566772
0.016474
0.17481
1.208378
2.455579
0.685341
0.734237
1.567164
3
train
H0
H18
20
20
10
10
25
1.580292
-1.633629
-1.174278
-1.161665
2.977832
3.227675
3.060028
1.580292
1.633629
0.097791
1.349466
2.195716
2.695316
0.116639
0.147317
1.655657
3
train
H1
H18
20
20
10
10
25
2.019977
-1.945638
-2.298588
-2.454803
7.129843
7.996473
7.013714
-2.454803
2.298588
0.029991
6.02606
4.783621
3.809001
6.376966
6.302742
1.907056
3
train
H0
H18
30
30
10
20
3.333333
0.678644
-0.758279
0.574686
0.583116
9.357806
9.652321
8.976684
0.583116
0.758279
0.011239
0.340025
0.064544
0.58025
3.251837
2.951794
0.744552
3
train
H1
H18
30
30
10
6.666667
6.666667
-0.841022
0.86421
0.981972
0.977977
1.051056
3.382507
0.96297
-0.841022
0.981972
0.336323
0.956439
0.727538
0.745896
0.911896
0.765201
-0.880226
3
train
H0
H18
50
50
10
12
12
-0.561774
0.532556
0.636169
0.632275
0.429274
1.42749
0.400265
0.632275
0.636169
0.586321
0.399771
0.282337
0.282814
0.384702
0.325309
-0.544175
3
train
H1
H18
50
50
10
12
12
-0.173527
0.221401
-0.372328
-0.370291
1.214948
1.839241
1.505591
-0.370291
0.372328
0.471048
0.137115
0.001957
0.048994
0.79678
0.807435
-0.222553
3
train
H0
H18
75
75
10
5.333333
9.333333
-0.094065
0.139207
-0.710963
-0.71382
2.145788
8.23332
3.255149
-0.71382
0.710963
0.041428
0.509539
0.080993
0.019356
2.157083
2.529119
-0.148883
3
train
H1
H18
75
75
10
5.333333
13.333333
0.205917
-0.147466
-1.134162
-1.136939
4.96989
5.094477
4.757353
-1.136939
1.134162
0.092673
1.292631
0.280239
0.021718
3.629214
3.437613
0.1537
3
train
H0
H18
100
100
10
9
15
0.19322
-0.191883
-0.337337
-0.336405
0.183999
0.223706
0.181003
-0.336405
0.337337
0.845552
0.113169
0.064955
0.036747
0.145421
0.114856
0.194797
3
train
H1
H18
100
100
10
5
8
0.646582
-0.627538
-0.593525
-0.591824
0.350771
4.522906
0.419513
-0.591824
0.627538
0.210256
0.350256
0.284924
0.393489
0.130499
0.072121
0.628938
3
train
H0
H18
150
150
10
12.666667
7.333333
0.735697
-0.774705
-0.09799
-0.097546
1.94284
1.907096
2.042886
0.735697
0.774705
0.360075
0.009515
0.283954
0.600562
0.415285
0.369539
0.780053
3
train
H1
H18
150
150
10
12
11.333333
2.127371
-2.125688
-1.899041
-1.909508
4.299969
5.746039
4.546567
2.127371
2.125688
0.031528
3.646221
4.195748
4.53648
1.332593
1.286356
2.150348
3
train
H0
H18
200
200
10
11.5
7.5
0.347408
-0.333841
-0.522517
-0.522581
0.426289
0.715858
0.344245
0.347408
0.522517
0.73688
0.273091
0.137226
0.111371
0.315579
0.292192
0.335988
3
train
H1
H18
200
200
10
13
9.5
1.89302
-1.965368
-0.524286
-0.524937
10.784239
10.238225
10.753061
1.89302
1.965368
0.004624
0.275559
2.154028
3.871946
1.25142
1.12888
1.980472
3
train
H0
H18
300
300
10
8.666667
13
0.408765
-0.418983
-0.402933
-0.402447
0.208637
0.336858
0.173786
0.408765
0.418983
0.672426
0.161964
0.225107
0.175487
0.076376
0.08481
0.422821
3
train
H1
H18
300
300
10
7.666667
11
3.466525
-3.474518
-2.813599
-2.826599
13.154777
13.528026
12.446689
-2.826599
3.474518
0.000471
7.989661
11.471539
12.127325
2.102891
2.258049
3.496766
3
train
H0
H18
500
500
10
9.6
11
1.31105
-1.306254
-1.395882
-1.395724
1.964093
2.527451
1.967753
1.31105
1.395882
0.188474
1.948047
1.933016
1.706216
1.251707
1.200808
1.315108
3
train
H1
H18
500
500
10
13.6
9.6
0.191672
-0.308397
1.321386
1.322628
9.749072
9.70832
11.339716
0.191672
1.321386
0.003448
1.749344
0.159755
0.095184
7.284298
7.134862
0.307901
3
train
H0
H18
1,000
1,000
10
10.9
10.7
-0.852419
0.867924
0.518984
0.518751
0.969557
0.906166
1.018871
-0.852419
0.867924
0.38209
0.269103
0.560427
0.753197
0.000141
0.000544
-0.874051
3
train
H1
H18
1,000
1,000
10
9.8
10.7
1.983795
-2.080267
-0.28896
-0.289166
13.052552
14.294281
14.732499
1.983795
2.080267
0.000632
0.083617
1.953162
4.330308
2.705303
2.666695
2.094709
3
train
H0
H18
20
20
20
15
10
-0.426745
0.382269
0.610998
0.59853
0.57071
2.3417
0.438758
-0.426745
0.610998
0.504579
0.358239
0.169053
0.145742
0.550858
0.41253
-0.396805
3
train
H1
H18
20
20
20
15
0
0.791805
-0.821678
-0.809041
-0.826082
0.692469
5.162208
0.689367
0.791805
0.821678
0.160298
0.682411
0.61269
0.675638
0.306204
0.246544
0.822413
3
train
H0
H18
30
30
20
23.333333
20
-0.998379
0.949915
0.922095
0.923262
0.962788
1.01023
0.999485
0.923262
0.949915
0.329361
0.852413
0.86123
0.903978
0.415095
0.432053
-0.975402
3
train
H1
H18
30
30
20
10
23.333333
-0.646854
0.682195
0.110957
0.109659
1.963012
2.329122
1.909575
-0.646854
0.682195
0.384894
0.012025
0.238411
0.466169
0.454639
0.47869
-0.685111
3
train
H0
H18
50
50
20
20
22
-0.44475
0.410287
0.406505
0.402905
0.192078
0.238656
0.197586
0.402905
0.410287
0.677516
0.162333
0.157878
0.167987
0.106772
0.077778
-0.415855
3
train
H1
H18
50
50
20
10
28
1.89803
-1.997928
-1.223724
-1.236948
6.661082
12.110093
5.612336
-1.236948
1.997928
0.007015
1.53004
3.40048
4.002417
0.02486
0.079639
2.022023
3
train
H0
H18
75
75
20
17.333333
33.333333
1.244957
-1.192592
-1.214284
-1.207898
1.580501
1.707932
1.569047
-1.207898
1.214284
0.222955
1.459018
1.496078
1.420579
0.712304
0.748686
1.218708
3
train
H1
H18
75
75
20
20
16
1.03131
-1.086052
-0.432799
-0.432252
2.893563
3.280464
2.614986
1.03131
1.086052
0.270497
0.186842
0.801995
1.180836
0.169013
0.122444
1.095973
3
train
H0
H18
100
100
20
17
14
-0.712901
0.699932
0.868215
0.868425
0.893297
2.70928
0.791935
-0.712901
0.868215
0.438653
0.754163
0.515782
0.489315
0.800343
0.742634
-0.707518
3
train
H1
H18
100
100
20
15
30
2.371314
-2.257113
-2.762746
-2.799634
8.385257
9.185131
8.221684
-2.799634
2.762746
0.016394
7.837949
6.113332
5.102743
7.107376
7.002078
2.299254
3
train
H0
H18
150
150
20
16.666667
22.666667
0.331906
-0.303972
-0.52437
-0.522044
0.369523
0.416821
0.403257
-0.522044
0.52437
0.755923
0.272529
0.178026
0.09229
0.350944
0.378713
0.310839
3
train
H1
H18
150
150
20
18.666667
24
1.460918
-1.492397
-1.232902
-1.229429
1.926692
5.462279
2.227657
1.460918
1.492397
0.12978
1.511497
1.826259
2.229118
0.360504
0.285256
1.51497
3
train
H0
H18
200
200
20
17
14.5
-1.910736
1.975768
1.128335
1.126606
4.889709
7.487355
5.734641
-1.910736
1.975768
0.046278
1.269242
2.696135
3.913091
0.035898
0.04456
-1.992847
3
train
H1
H18
200
200
20
13
19.5
2.297352
-2.208401
-2.647416
-2.670513
7.135277
9.103576
7.221786
-2.670513
2.647416
0.025392
7.131639
6.368906
4.884824
5.954698
6.19204
2.23539
3
train
H0
H18
300
300
20
18
19.666667
-0.424822
0.467537
0.013047
0.013024
1.182845
1.486711
1.022455
-0.424822
0.467537
0.599759
0.00017
0.107269
0.21849
0.243865
0.244064
-0.472782
3
train
H1
H18
300
300
20
21.666667
16.666667
-0.809047
0.670683
1.62762
1.636495
5.25354
7.521302
5.624626
1.636495
1.62762
0.057014
2.678117
1.208496
0.449681
5.242497
5.486425
-0.682457
3
train
H0
H18
500
500
20
16.8
17.2
0.262522
-0.157318
-0.951133
-0.952071
3.200226
3.435759
2.970141
-0.952071
0.951133
0.226486
0.90644
0.183087
0.024747
2.466399
2.352854
0.158017
3
train
H1
H18
500
500
20
18.4
23.6
1.980276
-2.056722
-1.156348
-1.156358
6.179404
6.152461
6.743707
1.980276
2.056722
0.034326
1.337164
2.908786
4.233179
0.037392
0.027978
2.083975
3
train
H0
H18
1,000
1,000
20
21.1
21.3
-1.093454
1.142015
0.731542
0.731065
1.459317
2.439745
1.648449
0.731065
1.142015
0.24621
0.534456
0.991232
1.304177
0.005834
0.002763
-1.159604
3
train
H1
H18
1,000
1,000
20
19.4
20.3
2.659244
-2.75532
-1.692104
-1.692151
9.462085
10.184825
10.301724
2.659244
2.75532
0.005201
2.863375
5.579924
7.597629
0.003799
0.004231
2.794339