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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CoxMantel_test
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7.03
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
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
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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
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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
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train
H0
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train
H1
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train
H0
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train
H1
H24
300
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0
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train
H0
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train
H1
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0
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train
H0
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train
H1
H24
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train
H0
H24
20
20
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5
5
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train
H1
H24
20
20
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0
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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
H24
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8
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train
H0
H24
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train
H1
H24
75
75
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train
H0
H24
100
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11
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train
H1
H24
100
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train
H0
H24
150
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train
H1
H24
150
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8
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train
H0
H24
200
200
10
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train
H1
H24
200
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12
10
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train
H0
H24
300
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10
7.666667
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train
H1
H24
300
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train
H0
H24
500
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10
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train
H1
H24
500
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8.2
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train
H0
H24
1,000
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train
H1
H24
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10
9.1
10
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train
H0
H24
20
20
20
30
25
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train
H1
H24
20
20
20
20
25
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train
H0
H24
30
30
20
23.333333
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0.329226
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train
H1
H24
30
30
20
30
16.666667
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train
H0
H24
50
50
20
20
18
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train
H1
H24
50
50
20
20
28
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train
H0
H24
75
75
20
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0.912973
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train
H1
H24
75
75
20
14.666667
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train
H0
H24
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train
H1
H24
100
100
20
21
23
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train
H0
H24
150
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16
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train
H1
H24
150
150
20
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train
H0
H24
200
200
20
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train
H1
H24
200
200
20
19
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train
H0
H24
300
300
20
17
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2
train
H1
H24
300
300
20
20.666667
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0.277904
0.335959
0.052023
0.021018
0.077204
0.022216
0.009289
-0.283437
2
train
H0
H24
500
500
20
19.6
16.8
0.268571
-0.384498
0.739956
0.740278
5.922721
5.943138
5.847567
0.740278
0.739956
0.05373
0.548012
0.00098
0.147814
3.305141
3.239328
0.389831
2
train
H1
H24
500
500
20
18.2
17
-0.253318
0.272836
0.257462
0.257674
0.339295
15.158269
0.068619
-0.253318
0.272836
0.001686
0.066396
0.00386
0.07446
0.034749
0.019481
-0.2778
2
train
H0
H24
1,000
1,000
20
19.2
20.1
0.298985
-0.286676
-0.386326
-0.386143
0.152686
0.251534
0.166782
0.298985
0.386326
0.771258
0.149107
0.134386
0.082172
0.150505
0.149791
0.29073
2
train
H1
H24
1,000
1,000
20
18.3
19.2
0.222201
-0.062419
-1.316552
-1.318364
4.86916
16.979469
7.405028
-1.318364
1.316552
0.000714
1.738084
0.605718
0.003899
5.661506
5.793852
0.064372
2
train
H0
H24
20
20
30
45
40
-0.366711
0.299595
0.633088
0.629564
1.045761
1.406782
1.089459
0.629564
0.633088
0.579999
0.396351
0.217663
0.089207
1.315065
1.333607
-0.346267
2
train
H1
H24
20
20
30
15
30
1.191362
-1.198942
-1.141898
-1.131704
1.468499
2.491638
1.408429
-1.131704
1.198942
0.215507
1.280755
1.498209
1.425482
0.497039
0.590325
1.238564
2
train
H0
H24
30
30
30
26.666667
36.666667
-0.010532
0.135791
-0.476641
-0.473898
2.133251
2.124244
2.093296
-0.473898
0.476641
0.351113
0.224579
0.013741
0.018392
1.135583
1.068536
-0.12503
2
train
H1
H24
30
30
30
20
43.333333
0.043352
-0.034902
-0.031877
-0.032113
0.004606
0.021066
0.002414
0.043352
0.034902
0.994384
0.001031
0.002963
0.001222
0.009671
0.00972
0.007039
2
train
H0
H24
50
50
30
34
26
-1.033783
1.023034
0.954926
0.947081
1.102708
1.363444
1.067273
0.947081
1.023034
0.288869
0.896962
1.094159
1.044229
0.42768
0.552439
-1.060606
2
train
H1
H24
50
50
30
40
28
-2.044451
2.039505
1.920714
1.930638
4.090625
6.384113
4.248212
1.930638
2.039505
0.035571
3.727364
3.972888
4.215976
1.549642
1.45934
-2.101793
2
train
H0
H24
75
75
30
28
30.666667
-0.751772
0.699814
0.966572
0.976121
1.126428
1.323232
1.121246
0.976121
0.966572
0.47274
0.952812
0.63677
0.489643
1.196994
1.250441
-0.718028
2
train
H1
H24
75
75
30
29.333333
26.666667
-0.813134
0.934963
0.185002
0.185223
3.063477
2.889441
3.068556
0.185223
0.934963
0.215611
0.034308
0.407183
0.874333
0.63844
0.567555
-0.951997
2
train
H0
H24
100
100
30
32
30
-1.090061
0.916353
1.55938
1.58751
4.297862
4.370844
4.332384
1.58751
1.55938
0.114613
2.520189
1.502608
0.840821
4.500824
4.516854
-0.927212
2
train
H1
H24
100
100
30
26
35
1.322894
-1.115056
-1.925767
-1.961142
6.29686
7.00077
6.500008
-1.961142
1.925767
0.038774
3.846077
2.321292
1.244514
6.051721
6.048358
1.121991
2
train
H0
H24
150
150
30
38
30
-0.999038
1.010689
1.056922
1.055471
1.162245
7.679671
1.114514
-0.999038
1.056922
0.053117
1.114019
0.861832
1.021668
0.766269
0.668228
-1.046222
2
train
H1
H24
150
150
30
25.333333
32
0.516194
-0.324749
-1.350431
-1.357801
6.307966
6.177826
6.493295
-1.357801
1.350431
0.038904
1.843622
0.596997
0.105414
5.124556
5.089335
0.329324
2
train
H0
H24
200
200
30
30
30.5
-0.036771
-0.079864
0.424329
0.424166
1.146191
1.239717
1.187785
-0.036771
0.424329
0.552174
0.179917
0.014421
0.006374
0.828997
0.789719
0.081715
2
train
H1
H24
200
200
30
29
30
-0.163118
0.295803
-0.413391
-0.41312
2.062537
3.772553
2.579308
-0.41312
0.413391
0.275366
0.170668
0.004106
0.087488
1.341703
1.354241
-0.301711
2
train
H0
H24
300
300
30
31.666667
31
-0.640837
0.765571
0.263838
0.263402
0.867916
5.790648
1.362365
-0.640837
0.765571
0.122252
0.069381
0.229635
0.58611
0.148272
0.197508
-0.783201
2
train
H1
H24
300
300
30
31.333333
29
-1.447518
1.653242
0.631729
0.630944
5.15893
7.406293
6.063572
-1.447518
1.653242
0.048229
0.398091
1.455767
2.73528
0.600261
0.581685
-1.695613
2
train
H0
H24
500
500
30
30
31.6
-0.535233
0.650679
0.023265
0.023291
2.265899
2.270113
2.215858
0.023291
0.650679
0.330242
0.000542
0.18193
0.423614
0.57222
0.552418
-0.669433
2
train
H1
H24
500
500
30
25.4
35.8
2.918245
-2.63001
-3.815058
-3.834107
17.644288
23.236097
18.524776
-3.834107
3.815058
0.000036
14.700376
10.80817
6.930234
18.209384
18.358695
2.701681
2
train
H0
H24
1,000
1,000
30
30.3
29.2
0.202195
-0.308274
0.23689
0.236718
1.461615
1.51074
1.391006
0.236718
0.308274
0.498823
0.056035
0.016318
0.09502
0.678318
0.677839
0.316246
2
train
H1
H24
1,000
1,000
30
32
30.4
0.155807
-0.031116
-0.560235
-0.560574
0.913907
4.982531
1.398557
0.155807
0.560235
0.173081
0.314243
0.134877
0.000969
1.049181
1.089172
0.031898
2
train
H0
H24
20
20
40
45
50
-0.956419
1.155269
0.382649
0.383728
6.807762
7.428623
6.937752
0.383728
1.155269
0.031152
0.147247
0.686025
1.339955
1.651623
1.610889
-1.168859
2
train
H1
H24
20
20
40
35
40
0.488114
-0.398471
-0.703606
-0.7004
1.087042
1.476964
1.052272
-0.7004
0.703606
0.590884
0.490561
0.283391
0.157861
0.722625
0.697276
0.424954
2
train
H0
H24
30
30
40
46.666667
56.666667
0.496926
-0.355089
-0.721784
-0.708874
1.142874
1.38408
1.104705
-0.708874
0.721784
0.575594
0.502503
0.229804
0.125424
0.92749
0.738449
0.398865
2
train
H1
H24
30
30
40
50
20
-2.372609
2.346827
2.458312
2.497758
6.241204
6.344061
6.239917
-2.372609
2.458312
0.014048
6.238795
6.009969
5.517806
5.033331
5.127079
-2.456024
2
train
H0
H24
50
50
40
52
38
-0.956506
0.807403
1.195232
1.19832
2.092616
2.1403
2.110672
1.19832
1.195232
0.348075
1.435971
0.992888
0.65037
2.515982
2.522126
-0.834647
2
train
H1
H24
50
50
40
34
50
2.13674
-1.988012
-2.235282
-2.258995
5.103128
6.001874
5.107512
-2.258995
2.235282
0.036393
5.103058
4.809674
3.963728
3.46412
3.706799
2.092507
2
train
H0
H24
75
75
40
44
34.666667
-1.241678
1.247898
1.15394
1.149397
1.487539
2.240739
1.548336
1.149397
1.247898
0.194304
1.321113
1.428934
1.55618
0.609206
0.609053
-1.297952
2
train
H1
H24
75
75
40
42.666667
40
-0.792275
0.842554
0.612893
0.610974
0.902134
1.621165
0.956645
0.610974
0.842554
0.390976
0.373289
0.521812
0.709157
0.033885
0.025576
-0.857848
2
train
H0
H24
100
100
40
32
26
-0.663992
0.623763
0.761387
0.758763
0.586022
0.60378
0.589319
-0.663992
0.761387
0.512394
0.575722
0.489672
0.391832
0.605744
0.613604
-0.655115
2
train
H1
H24
100
100
40
37
46
0.102407
0.300815
-1.028821
-1.027033
11.53285
14.052994
10.917714
-1.027033
1.028821
0.002834
1.054798
0.029438
0.090366
7.180657
6.905863
-0.29387
2
train
H0
H24
150
150
40
41.333333
34.666667
-1.932736
1.83414
2.034528
2.044798
4.182111
4.265097
4.181318
-1.932736
2.034528
0.055523
4.181198
3.763861
3.370395
3.182526
3.074295
-1.914758
2
train
H1
H24
150
150
40
45.333333
45.333333
-0.258303
0.438219
-0.160021
-0.160581
1.889597
8.95888
2.349879
-0.160581
0.438219
0.029843
0.025786
0.009228
0.192234
0.897406
0.961377
-0.457589
2
train
H0
H24
200
200
40
39
43
1.18972
-1.33734
-0.784345
-0.782909
2.767037
2.855437
2.733777
1.18972
1.33734
0.166263
0.612947
1.363686
1.787034
0.015323
0.016197
1.384311
2
train
H1
H24
200
200
40
34
40
-0.750471
1.135235
-0.386139
-0.385707
11.77621
11.4733
11.988911
-0.385707
1.135235
0.002493
0.14877
0.29632
1.289939
5.084894
4.947689
-1.167852
2
train
H0
H24
300
300
40
40.666667
41.666667
0.218722
-0.295752
-0.088372
-0.088182
0.128775
0.392878
0.177207
-0.088182
0.295752
0.756125
0.007776
0.035078
0.087438
0.035108
0.028468
0.310574
2
train
H1
H24
300
300
40
41
39.666667
0.158756
0.087745
-0.64593
-0.648725
2.03136
13.061554
2.776213
-0.648725
0.64593
0.004505
0.420845
0.126417
0.007703
2.006226
2.217324
-0.094259
2
train
H0
H24
500
500
40
39
37.4
0.450599
-0.538805
-0.110118
-0.110132
1.356993
2.273584
1.14061
0.450599
0.538805
0.5176
0.012129
0.19377
0.290359
0.24672
0.224544
0.558848
2
train
H1
H24
500
500
40
43.2
36.6
-1.018109
0.908185
1.258736
1.257878
2.134265
6.004317
1.903586
1.257878
1.258736
0.1114
1.582257
0.901714
0.824705
1.851571
1.79606
-0.943182
2
train
H0
H24
1,000
1,000
40
38.9
39.6
0.066907
-0.03264
-0.137966
-0.1379
0.046347
0.137425
0.059135
-0.1379
0.137966
0.970865
0.019016
0.008924
0.001062
0.043322
0.044949
0.033948
2
train
H1
H24
1,000
1,000
40
41.1
43.2
-0.483482
0.970819
-0.483943
-0.484316
7.406839
30.065392
10.083405
-0.483482
0.970819
0.000001
0.234562
0.017816
0.943373
4.739724
4.785004
-1.00521