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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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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Q_test
float64
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MAX_Value_test
float64
0
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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
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2
train
H0
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train
H1
H16
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train
H0
H16
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train
H1
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train
H0
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train
H1
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train
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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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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
H16
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train
H0
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train
H1
H16
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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
H16
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train
H0
H16
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train
H1
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train
H0
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train
H1
H16
150
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train
H0
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train
H1
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train
H0
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train
H1
H16
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train
H0
H16
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train
H1
H16
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train
H0
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train
H1
H16
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train
H0
H16
20
20
40
30
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train
H1
H16
20
20
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train
H0
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train
H1
H16
30
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train
H0
H16
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train
H1
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train
H0
H16
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train
H1
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train
H0
H16
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train
H1
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train
H0
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train
H1
H16
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train
H0
H16
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train
H1
H16
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train
H0
H16
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train
H1
H16
300
300
40
35.666667
39.333333
-0.36324
0.730455
-0.7638
-0.76688
13.37371
12.838906
13.470473
-0.76688
0.7638
0.001188
0.588104
0.022306
0.533871
6.827098
6.731597
-0.749316
2
train
H0
H16
500
500
40
39.6
40.6
1.590867
-1.901389
-0.897241
-0.896784
5.512654
10.476842
6.466077
1.590867
1.901389
0.014919
0.804222
2.127663
3.616556
0.239122
0.246141
1.960038
2
train
H1
H16
500
500
40
39.6
41.8
-0.316706
0.395165
0.068315
0.068326
0.840183
1.63999
0.68685
0.068326
0.395165
0.650357
0.004668
0.115586
0.156154
0.147636
0.123893
-0.406246
2
train
H0
H16
1,000
1,000
40
39.5
40.8
0.648474
-0.791943
-0.350231
-0.350041
1.048614
2.174305
1.156974
0.648474
0.791943
0.413444
0.122529
0.405083
0.627134
0.06587
0.087787
0.817848
2
train
H1
H16
1,000
1,000
40
38.5
38.8
-0.730587
1.024734
-0.061033
-0.061092
5.944238
9.672139
6.669733
-0.061092
1.024734
0.021569
0.003732
0.295126
1.050295
2.110182
2.138412
-1.055328
2
train
H0
H16
20
20
50
45
50
-0.153852
0.388566
-0.270603
-0.266911
2.936879
3.052382
2.886988
-0.266911
0.388566
0.236101
0.071242
0.019413
0.150311
1.140535
0.946834
-0.390232
2
train
H1
H16
20
20
50
45
55
0.49958
-0.25038
-0.730942
-0.735693
1.952778
3.318321
1.891529
0.49958
0.730942
0.345101
0.541244
0.200326
0.062363
1.34634
1.260781
0.282386
2
train
H0
H16
30
30
50
73.333333
56.666667
-1.275706
1.345676
1.214959
1.189871
1.634692
1.621605
1.630887
1.189871
1.345676
0.145412
1.415793
1.599167
1.801035
0.836355
0.880924
-1.455932
2
train
H1
H16
30
30
50
46.666667
50
-0.488082
0.48003
0.472063
0.467813
0.241988
0.397738
0.236738
0.467813
0.48003
0.60951
0.218849
0.253134
0.230309
0.232488
0.267214
-0.510773
2
train
H0
H16
50
50
50
44
46
-0.997726
0.943316
1.003674
1.022971
1.048072
1.079509
1.049301
1.022971
1.003674
0.326972
1.04647
0.965064
0.891606
0.838052
0.870266
-0.980231
2
train
H1
H16
50
50
50
48
44
-1.158484
1.0742
1.291295
1.302963
1.855692
2.663796
1.815057
-1.158484
1.291295
0.258882
1.697713
1.356738
1.155565
1.955899
1.840665
-1.129038
2
train
H0
H16
75
75
50
44
42.666667
-1.299053
1.407312
0.955209
0.957421
2.91907
3.595946
2.772292
-1.299053
1.407312
0.149529
0.916655
1.6594
1.985652
0.00091
0.003549
-1.441197
2
train
H1
H16
75
75
50
40
46.666667
0.520604
-0.54762
-0.453335
-0.454184
0.345655
1.634735
0.294802
-0.454184
0.54762
0.574273
0.206283
0.310232
0.299639
0.018861
0.033796
0.56177
2
train
H0
H16
100
100
50
49
46
-0.59539
0.534626
0.590986
0.589833
0.387574
4.81036
0.357017
-0.59539
0.590986
0.186222
0.347903
0.414371
0.285617
0.248304
0.289504
-0.560139
2
train
H1
H16
100
100
50
57
57
-0.860521
1.224788
0.379396
0.37891
4.808014
4.800556
4.767695
0.37891
1.224788
0.092195
0.143572
0.859861
1.5011
0.887667
0.837663
-1.297202
2
train
H0
H16
150
150
50
45.333333
54
0.52681
-0.337801
-0.839095
-0.837483
1.987441
2.014517
1.952459
-0.837483
0.839095
0.376729
0.701379
0.280501
0.114024
1.570206
1.532242
0.355787
2
train
H1
H16
150
150
50
48
46.666667
0.235124
-0.208947
-0.372401
-0.372632
0.435142
2.389567
0.33773
-0.372632
0.372401
0.49558
0.138855
0.039848
0.043644
0.268757
0.222822
0.218452
2
train
H0
H16
200
200
50
51.5
52
0.467851
-0.278466
-0.742375
-0.743997
1.662957
2.150393
1.565818
-0.743997
0.742375
0.457075
0.553531
0.178975
0.077506
1.24385
1.194373
0.291335
2
train
H1
H16
200
200
50
50.5
40.5
-1.624646
1.450239
1.91838
1.912845
4.320378
6.262676
4.136056
1.912845
1.91838
0.099507
3.658975
2.458003
2.103963
4.074065
3.834338
-1.503879
2
train
H0
H16
300
300
50
49
48
1.310456
-1.59734
-0.811946
-0.812306
4.17338
5.355442
4.471095
1.310456
1.59734
0.096826
0.65984
1.706056
2.556241
0.162886
0.157555
1.66044
2
train
H1
H16
300
300
50
45.333333
53.333333
1.235557
-1.082843
-1.405029
-1.403001
2.149194
2.922941
2.194285
-1.403001
1.405029
0.260418
1.968412
1.605035
1.17202
1.909552
1.921727
1.125403
2
train
H0
H16
500
500
50
50.8
44.2
-1.543508
1.321362
1.810955
1.81015
3.869044
3.901334
3.858075
1.81015
1.810955
0.145288
3.276642
2.352252
1.745576
3.880312
3.896085
-1.376872
2
train
H1
H16
500
500
50
51
53.4
-0.667923
1.099826
0.036338
0.03631
7.295661
7.622624
7.099197
0.03631
1.099826
0.028736
0.001318
0.582248
1.209845
2.234307
2.301185
-1.139516
2
train
H0
H16
1,000
1,000
50
51.6
49.9
-0.85072
0.822096
0.890835
0.890034
0.792415
0.816599
0.793124
-0.85072
0.890835
0.392766
0.792161
0.786988
0.675829
0.593388
0.614421
-0.854612
2
train
H1
H16
1,000
1,000
50
49.5
51.6
0.660644
-0.295754
-1.101499
-1.101335
3.013018
9.536555
3.58332
0.660644
1.101499
0.022946
1.212938
0.583736
0.087477
3.097681
3.111207
0.30727
2
train
H0
H17
20
20
0
0
0
0.838553
-0.838553
-0.184476
-0.184238
2.873162
4.345802
2.305999
-0.184238
0.838553
0.226464
0.033944
0.414871
0.701588
0.354475
0.223367
0.849235
2
train
H1
H17
20
20
0
0
0
2.786159
-2.786159
-2.958627
-3.453974
13.874979
14.210577
13.7724
-3.453974
2.958627
0.001022
11.929937
9.993489
8.187536
12.294017
12.238737
2.821653
2
train
H0
H17
30
30
0
0
0
0.206982
-0.206982
-0.208478
-0.204376
0.049108
0.848236
0.044926
-0.204376
0.208478
0.83466
0.041769
0.028547
0.042556
0.004667
0.000038
0.208729
2
train
H1
H17
30
30
0
0
0
-2.321155
2.321155
0.924054
0.928643
10.568569
10.458623
11.433612
-2.321155
2.321155
0.00329
0.862377
3.241958
5.560029
1.363941
1.216563
-2.340743
2
train
H0
H17
50
50
0
0
0
-0.103407
0.103407
-0.391465
-0.388254
0.992927
1.088889
1.001036
-0.388254
0.391465
0.606217
0.150741
0.005926
0.010654
0.571916
0.538193
-0.103928
2
train
H1
H17
50
50
0
0
0
0.186133
-0.186133
-1.113781
-1.123928
3.720714
4.330591
4.306976
-1.123928
1.113781
0.116079
1.263213
0.377006
0.034657
3.336206
3.345498
0.187071
2
train
H0
H17
75
75
0
0
0
-1.268571
1.268571
0.943358
0.937771
1.651839
1.551612
1.731844
0.937771
1.268571
0.20612
0.879415
1.328686
1.61029
0.13274
0.186396
-1.264307
2
train
H1
H17
75
75
0
0
0
-0.520584
0.520584
0.304355
0.301417
0.424581
0.615021
0.366036
-0.520584
0.520584
0.603877
0.090852
0.212115
0.270415
0.001956
0.010456
-0.518834
2
train
H0
H17
100
100
0
0
0
-0.762337
0.762337
1.436386
1.441938
2.873832
2.799342
3.162456
1.441938
1.436386
0.205722
2.079185
1.212019
0.581263
3.289384
3.277015
-0.76425
2
train
H1
H17
100
100
0
0
0
-0.459357
0.459357
-0.71444
-0.72242
6.844315
7.62891
6.049889
-0.459357
0.71444
0.048561
0.521891
0.001912
0.210842
3.315824
3.130381
-0.46051
2
train
H0
H17
150
150
0
0
0
-0.633612
0.633612
1.379883
1.383478
2.86802
3.134892
3.303471
1.383478
1.379883
0.191717
1.914012
0.998523
0.401502
3.282764
3.318252
-0.63467
2
train
H1
H17
150
150
0
0
0
-1.26323
1.26323
0.282518
0.282581
4.884626
4.964555
4.422508
-1.26323
1.26323
0.109563
0.079852
0.916297
1.596235
0.681068
0.59921
-1.26534
2
train
H0
H17
200
200
0
0
0
1.025825
-1.025825
-0.597931
-0.595592
1.609881
1.706423
1.405455
1.025825
1.025825
0.304369
0.35473
0.855501
1.052084
0.000085
0.000817
1.027109
2
train
H1
H17
200
200
0
0
0
-0.615841
0.615841
-0.49963
-0.499451
4.005234
4.565015
4.820251
-0.615841
0.615841
0.089804
0.249452
0.025724
0.379272
2.275253
2.261201
-0.616612
2
train
H0
H17
300
300
0
0
0
-0.805431
0.805431
1.181546
1.182879
1.799121
3.397175
1.608136
-0.805431
1.181546
0.334345
1.399204
0.888155
0.64867
1.63878
1.55522
-0.806103
2
train
H1
H17
300
300
0
0
0
-1.237349
1.237349
-0.72937
-0.734328
13.00345
13.488664
15.473281
-1.237349
1.237349
0.000437
0.539237
0.180075
1.533825
7.054274
6.968306
-1.238381
2
train
H0
H17
500
500
0
0
0
0.556208
-0.556208
0.112687
0.112612
1.539378
1.334866
1.745551
0.556208
0.556208
0.41779
0.012681
0.088255
0.309339
0.567673
0.541153
0.556486
2
train
H1
H17
500
500
0
0
0
-1.321542
1.321542
0.042849
0.043005
7.10564
8.340792
6.849775
-1.321542
1.321542
0.032553
0.001849
0.815452
1.746927
1.705809
1.76082
-1.322203
2
train
H0
H17
1,000
1,000
0
0
0
-0.305812
0.305812
-1.15556
-1.162958
11.75072
20.804367
8.67818
-1.162958
1.15556
0.000116
1.352471
0.0155
0.093508
5.579754
5.456306
-0.305888
2
train
H1
H17
1,000
1,000
0
0
0
-3.505258
3.505258
0.838702
0.841146
28.754139
26.287448
32.230838
-3.505258
3.505258
0
0.707526
6.249166
12.316439
4.911969
4.81837
-3.506135