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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1k
perc
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0
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logrank_test
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0
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BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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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
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train
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train
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train
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train
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7,642
train
H1
H29
300
300
20
20.666667
20.666667
1.773009
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14.512466
31.072488
19.527766
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1.975113
0.000001
0.001927
1.054835
3.922938
4.322261
4.494523
2.007729
7,642
train
H0
H29
500
500
20
21.6
21
-1.166254
1.206133
0.786865
0.785913
1.947951
1.960381
1.885568
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1.206133
0.221544
0.61766
1.175913
1.455063
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7,642
train
H1
H29
500
500
20
18.6
17.2
2.033691
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4.437971
19.251428
6.950402
2.033691
2.129507
0.000243
1.335165
2.486787
4.544179
0.037246
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2.159515
7,642
train
H0
H29
1,000
1,000
20
20.5
19.6
0.503293
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0.641974
1.16015
0.827943
0.503293
0.54438
0.581642
0.024479
0.13673
0.29631
0.118877
0.118388
0.550989
7,642
train
H1
H29
1,000
1,000
20
22.1
18.8
2.290816
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11.354269
58.778987
20.410367
2.290816
2.556396
0
0.278931
1.898863
6.555581
2.961586
3.056576
2.594783
7,642
train
H0
H29
20
20
30
20
35
0.077283
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0.160172
0.195147
0.160448
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0.214457
0.922909
0.044282
0.013125
0.000835
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7,642
train
H1
H29
20
20
30
30
35
0.329288
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0.271082
1.997253
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0.424617
0.572977
0.178135
0.098276
0.084524
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0.31512
7,642
train
H0
H29
30
30
30
30
30
1.176369
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1.427698
1.460858
1.435612
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1.179256
0.219476
1.400299
1.413856
1.394917
0.626876
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1.227924
7,642
train
H1
H29
30
30
30
26.666667
36.666667
0.805991
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0.818858
1.040797
0.872882
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0.818967
0.403889
0.354823
0.52922
0.669211
0.000286
0.000383
0.834696
7,642
train
H0
H29
50
50
30
30
24
-1.934131
1.930267
1.663342
1.682389
3.761552
7.180476
4.006976
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1.930267
0.051152
2.830431
3.257187
3.748265
0.753443
0.712537
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7,642
train
H1
H29
50
50
30
24
18
0.124057
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0.431761
0.42949
2.149984
2.119726
2.097564
0.42949
0.431761
0.350364
0.184462
0.000841
0.044486
1.344265
1.213558
0.204839
7,642
train
H0
H29
75
75
30
24
26.666667
1.21174
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2.162715
2.644655
2.198001
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1.4094
0.252403
2.056229
1.667052
1.288864
1.793827
1.907404
1.144533
7,642
train
H1
H29
75
75
30
28
33.333333
1.336157
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3.93772
4.676272
4.09222
1.336157
1.454136
0.129237
0.542901
1.384782
2.117884
0.097937
0.103439
1.48408
7,642
train
H0
H29
100
100
30
23
28
1.015066
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3.333673
3.530852
3.266664
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1.473148
0.195278
2.215241
1.337488
0.806006
3.074099
3.009633
0.909841
7,642
train
H1
H29
100
100
30
22
30
0.927755
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3.361675
4.134815
3.860958
0.927755
1.030501
0.145079
0.053387
0.445005
1.062418
0.658754
0.638436
1.0519
7,642
train
H0
H29
150
150
30
26
30
0.83922
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1.316002
1.785684
1.361601
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0.928487
0.345783
0.242824
0.63681
0.861448
0.019556
0.02599
0.942801
7,642
train
H1
H29
150
150
30
32
23.333333
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0.084141
1.372926
1.381
8.33121
10.196455
9.103244
1.381
1.372926
0.01055
1.907162
0.478509
0.007096
6.66401
6.641085
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7,642
train
H0
H29
200
200
30
36
35.5
-0.202835
0.327329
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0.832564
2.057916
1.018032
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0.327329
0.560473
0.016932
0.014264
0.107082
0.389985
0.422177
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7,642
train
H1
H29
200
200
30
28.5
30.5
0.388274
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0.263742
0.264686
2.175305
12.697166
3.357279
0.264686
0.542117
0.005339
0.070059
0.004768
0.29447
1.336552
1.512825
0.562057
7,642
train
H0
H29
300
300
30
31.666667
29.333333
0.598597
-0.732421
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2.711122
3.432813
2.36348
0.598597
0.732421
0.306745
0.003496
0.309811
0.536759
0.574938
0.507368
0.74635
7,642
train
H1
H29
300
300
30
33
27
0.1799
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0.844543
0.843739
6.784179
15.058841
8.282436
0.1799
0.844543
0.001767
0.711896
0.041247
0.182554
4.640203
4.757795
0.432661
7,642
train
H0
H29
500
500
30
32.2
29.8
-0.286354
0.258033
0.389622
0.389368
0.307894
2.008184
0.205236
0.389368
0.389622
0.57071
0.151607
0.049996
0.06657
0.208466
0.205942
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7,642
train
H1
H29
500
500
30
30.6
25.6
1.089825
-1.398961
0.197457
0.197418
8.234739
32.258245
12.168262
0.197418
1.398961
0
0.038974
0.267715
1.962871
3.632995
3.783842
1.428766
7,642
train
H0
H29
1,000
1,000
30
29.9
29.5
-0.18914
0.128637
0.305246
0.305091
0.107164
2.26252
0.166408
-0.18914
0.305246
0.519739
0.093081
0.071486
0.016545
0.172694
0.183431
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7,642
train
H1
H29
1,000
1,000
30
31
32.5
4.406829
-4.772041
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-2.760537
30.714462
42.062739
35.004974
4.406829
4.772041
0
7.620563
15.19873
22.846388
0.067668
0.066657
4.897271
7,642
train
H0
H29
20
20
40
45
45
0.390581
-0.190127
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-0.568013
0.665584
1.015147
0.695155
0.390581
0.565673
0.706397
0.322639
0.141298
0.036126
0.397495
0.439812
0.233943
7,642
train
H1
H29
20
20
40
40
45
1.588034
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2.625513
4.318148
2.662573
1.588034
1.628357
0.087302
2.337858
2.542444
2.700882
0.791438
0.795139
1.709807
7,642
train
H0
H29
30
30
40
40
30
-0.007399
-0.255735
0.765565
0.773673
7.50661
7.53517
7.415657
0.773673
0.765565
0.024531
0.59857
0.022095
0.06531
3.875679
3.590133
0.230613
7,642
train
H1
H29
30
30
40
36.666667
50
0.802733
-0.794529
-0.640956
-0.639801
0.844241
2.979624
0.950667
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0.794529
0.394777
0.409345
0.449583
0.617257
0.004774
0.00025
0.827135
7,642
train
H0
H29
50
50
40
48
32
-2.127993
2.115915
1.971674
1.992992
4.692701
5.090483
4.637893
1.992992
2.115915
0.029234
3.972016
4.448162
4.505519
1.528695
1.533366
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7,642
train
H1
H29
50
50
40
46
34
-0.527376
0.464367
0.769312
0.764269
0.949871
0.892237
0.980625
0.764269
0.769312
0.612435
0.584107
0.378309
0.215394
1.140444
1.081373
-0.48949
7,642
train
H0
H29
75
75
40
34.666667
33.333333
-0.691041
0.7399
0.472737
0.470801
0.688747
2.045791
0.821822
-0.691041
0.7399
0.454435
0.221653
0.36388
0.547709
0.003032
0.00157
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7,642
train
H1
H29
75
75
40
34.666667
34.666667
1.111019
-1.197437
-0.716404
-0.715367
2.099641
3.035364
2.315959
-0.715367
1.197437
0.219997
0.511749
0.967064
1.436255
0.019678
0.015456
1.226537
7,642
train
H0
H29
100
100
40
35
48
2.06675
-2.004134
-1.999267
-1.998098
4.249557
4.559487
4.283922
-1.998098
2.004134
0.038965
3.992397
4.049293
4.028139
1.860061
1.845158
2.064561
7,642
train
H1
H29
100
100
40
40
38
0.909
-1.080179
-0.591303
-0.591506
1.246838
4.865809
1.543698
0.909
1.080179
0.181891
0.34988
0.702201
1.169363
0.013496
0.025011
1.127196
7,642
train
H0
H29
150
150
40
40
36
-1.38182
1.266671
1.549103
1.555078
2.606127
4.068325
2.536253
1.555078
1.549103
0.191623
2.418267
1.828069
1.605173
2.381253
2.368079
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7,642
train
H1
H29
150
150
40
36
48.666667
2.824803
-2.819388
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7.771526
12.842062
8.063363
-2.651128
2.819388
0.003364
7.028481
7.352437
7.977641
2.861999
2.839443
2.932386
7,642
train
H0
H29
200
200
40
40.5
34
-0.889932
0.676003
1.298641
1.299005
2.937353
3.043744
2.876198
1.299005
1.298641
0.237379
1.687414
0.816604
0.456664
2.921888
2.962835
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7,642
train
H1
H29
200
200
40
38
38
2.056525
-2.344689
-1.119918
-1.120135
9.962277
11.146924
10.839399
2.056525
2.344689
0.004428
1.254701
3.407314
5.526875
0.411952
0.372701
2.420378
7,642
train
H0
H29
300
300
40
39.666667
42.333333
-0.359523
0.626582
-0.257134
-0.256702
3.953853
4.106921
4.077385
-0.256702
0.626582
0.130199
0.065896
0.084965
0.392586
1.696225
1.666807
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7,642
train
H1
H29
300
300
40
44.333333
38.666667
0.112102
-0.595857
0.810515
0.80942
7.180813
15.479693
8.620021
0.80942
0.810515
0.001449
0.655161
0.003173
0.355104
4.820959
4.920517
0.616214
7,642
train
H0
H29
500
500
40
41.8
41.2
-0.106047
0.17487
-0.104936
-0.104887
0.41045
1.12651
0.504325
-0.106047
0.17487
0.770679
0.011001
0.000611
0.030577
0.196624
0.189662
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7,642
train
H1
H29
500
500
40
42.4
39
2.096062
-2.776189
-0.510036
-0.51092
24.00826
59.305265
28.596404
2.096062
2.776189
0
0.261039
2.84173
7.748863
4.855439
4.974001
2.864595
7,642
train
H0
H29
1,000
1,000
40
43.3
44.3
0.876567
-1.081539
-0.428069
-0.427943
2.578012
4.482037
2.907707
-0.427943
1.081539
0.213898
0.183135
0.601871
1.169772
0.290265
0.285735
1.114454
7,642
train
H1
H29
1,000
1,000
40
39.7
35.2
2.706937
-3.513578
-0.307384
-0.307584
54.276388
66.921725
58.964507
-0.307584
3.513578
0
0.094608
4.677018
12.382193
12.586277
12.547228
3.618802