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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BN_GPH_test
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0
109
BN_MCE_test
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143
BN_SCE_test
float64
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114
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
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10.7
3
train
H0
H21
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train
H1
H21
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train
H0
H21
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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
H21
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train
H1
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train
H0
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train
H1
H21
200
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train
H0
H21
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train
H1
H21
300
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train
H0
H21
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train
H1
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train
H0
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3
train
H1
H21
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train
H0
H21
20
20
20
5
20
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train
H1
H21
20
20
20
20
20
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train
H0
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train
H1
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train
H0
H21
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30
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train
H1
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train
H0
H21
75
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20
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3
train
H1
H21
75
75
20
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train
H0
H21
100
100
20
20
14
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train
H1
H21
100
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26
20
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train
H0
H21
150
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train
H1
H21
150
150
20
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train
H0
H21
200
200
20
17
19
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train
H1
H21
200
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20
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train
H0
H21
300
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18
18
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train
H1
H21
300
300
20
14.333333
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train
H0
H21
500
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20
19.4
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1.608281
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train
H1
H21
500
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20
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1.645689
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train
H0
H21
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train
H1
H21
1,000
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20
20.3
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train
H0
H21
20
20
30
20
50
0.784414
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3
train
H1
H21
20
20
30
40
40
0.146468
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train
H0
H21
30
30
30
13.333333
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train
H1
H21
30
30
30
36.666667
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0.60754
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3
train
H0
H21
50
50
30
42
28
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train
H1
H21
50
50
30
24
28
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train
H0
H21
75
75
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train
H1
H21
75
75
30
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train
H0
H21
100
100
30
24
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train
H1
H21
100
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30
35
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train
H0
H21
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3
train
H1
H21
150
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30
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3
train
H0
H21
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200
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27
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3
train
H1
H21
200
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train
H0
H21
300
300
30
27
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3
train
H1
H21
300
300
30
28.666667
31.333333
2.22837
-2.127449
-2.406112
-2.431313
5.912562
8.250162
5.939543
-2.431313
2.406112
0.029473
5.911283
5.546856
4.532141
4.623689
4.79041
2.177098
3
train
H0
H21
500
500
30
29.2
31.2
-0.025251
0.080645
-0.20893
-0.208654
0.384758
0.370883
0.428628
-0.025251
0.20893
0.807095
0.043536
0.002916
0.006502
0.233322
0.227356
-0.08231
3
train
H1
H21
500
500
30
26.2
34
1.97691
-1.751713
-2.748214
-2.754299
10.315546
10.071008
10.462423
-2.754299
2.748214
0.005347
7.586162
4.887027
3.069495
10.312201
10.206234
1.797331
3
train
H0
H21
1,000
1,000
30
30.4
28
-1.239416
1.256686
1.114817
1.114994
1.496642
1.853656
1.549199
-1.239416
1.256686
0.196943
1.243212
1.468375
1.579428
0.43645
0.438893
-1.290311
3
train
H1
H21
1,000
1,000
30
28.7
31.4
2.303801
-2.291148
-2.161694
-2.164103
5.409212
5.689231
5.310415
-2.164103
2.291148
0.019015
4.683341
5.397612
5.251518
2.034586
2.054546
2.34524
3
train
H0
H21
20
20
40
10
35
0.328013
-0.307475
-0.657773
-0.650969
1.382334
5.595009
1.132346
-0.650969
0.657773
0.133065
0.423761
0.17752
0.093871
0.86459
0.759339
0.341519
3
train
H1
H21
20
20
40
45
35
-0.651355
0.627871
0.614673
0.609802
0.401104
3.426503
0.427552
0.609802
0.627871
0.33042
0.371859
0.358838
0.392402
0.290783
0.268067
-0.645265
3
train
H0
H21
30
30
40
33.333333
53.333333
0.278862
-0.241618
-0.327663
-0.332029
0.137773
0.340504
0.130428
-0.332029
0.327663
0.797937
0.110243
0.070991
0.058151
0.048554
0.037681
0.256019
3
train
H1
H21
30
30
40
43.333333
33.333333
-0.877813
0.776982
1.024169
1.016527
1.098433
1.225722
1.113445
-0.877813
1.024169
0.402995
1.033327
0.849279
0.615702
1.352962
1.417711
-0.836284
3
train
H0
H21
50
50
40
36
34
0.307248
-0.466597
0.273784
0.272566
3.10907
3.078454
3.093111
0.272566
0.466597
0.21298
0.074292
0.030077
0.21748
1.424683
1.361967
0.475586
3
train
H1
H21
50
50
40
38
38
-0.339818
0.254199
0.508133
0.504017
0.482151
1.089586
0.419717
-0.339818
0.508133
0.779589
0.254033
0.09524
0.064591
0.564823
0.478153
-0.271087
3
train
H0
H21
75
75
40
44
38.666667
-1.167474
1.247529
1.008483
1.005269
1.373371
3.528708
1.494222
1.005269
1.247529
0.193648
1.010567
1.24845
1.560169
0.274712
0.237609
-1.299863
3
train
H1
H21
75
75
40
34.666667
33.333333
-0.289184
0.327716
0.133438
0.133103
0.188302
1.654726
0.266515
0.133103
0.327716
0.647046
0.017716
0.045637
0.107173
0.00902
0.02083
-0.339211
3
train
H0
H21
100
100
40
38
47
0.949108
-0.89734
-1.054694
-1.051034
1.177561
2.257001
1.141458
0.949108
1.054694
0.351239
1.104672
0.8549
0.799211
0.926674
0.878338
0.932189
3
train
H1
H21
100
100
40
41
34
-0.914102
0.975879
0.628775
0.62793
1.099526
8.630708
1.452019
0.62793
0.975879
0.034626
0.394297
0.551002
0.953446
0.000784
0.006156
-1.012454
3
train
H0
H21
150
150
40
35.333333
47.333333
2.077589
-2.027877
-2.118988
-2.125571
4.535614
4.739817
4.544517
-2.125571
2.118988
0.033965
4.518054
4.396442
4.11034
2.781676
2.807929
2.120491
3
train
H1
H21
150
150
40
37.333333
41.333333
0.286184
-0.059798
-0.830173
-0.829864
3.371002
3.454811
3.413113
-0.829864
0.830173
0.18149
0.688675
0.140915
0.003574
2.431155
2.431431
0.064132
3
train
H0
H21
200
200
40
38
36
-0.136265
0.21822
-0.057999
-0.058014
0.250752
0.727453
0.326016
-0.058014
0.21822
0.819621
0.003366
0.005383
0.047577
0.090043
0.094149
-0.228032
3
train
H1
H21
200
200
40
45.5
41
-0.109658
0.001526
0.281594
0.281443
0.613121
6.250356
0.407684
0.281443
0.281594
0.100045
0.07921
0.000013
0.000002
0.295651
0.246563
-0.001254
3
train
H0
H21
300
300
40
41
39.666667
-0.745912
0.729036
0.682274
0.681193
0.604315
1.205429
0.560261
0.681193
0.729036
0.44443
0.464024
0.56095
0.531293
0.174041
0.242895
-0.764735
3
train
H1
H21
300
300
40
35
36
0.797382
-0.626839
-1.249053
-1.251137
2.693857
3.085828
2.881942
-1.251137
1.249053
0.236698
1.565344
0.880496
0.393208
2.688374
2.647853
0.649573
3
train
H0
H21
500
500
40
38.2
35.4
-0.967429
0.900747
1.104374
1.104094
1.285565
1.42283
1.271085
1.104094
1.104374
0.349981
1.219024
0.985001
0.811194
1.166109
1.180334
-0.934627
3
train
H1
H21
500
500
40
40.2
38.4
0.367984
-0.418388
-0.190812
-0.190836
0.592905
2.718838
0.404194
-0.190836
0.418388
0.437035
0.036419
0.189293
0.175077
0.0241
0.022281
0.43109
3
train
H0
H21
1,000
1,000
40
40
40.9
-0.039298
-0.108341
0.308515
0.308495
0.483155
5.161562
0.753948
-0.039298
0.308515
0.160342
0.095169
0.027229
0.011728
0.50181
0.51621
0.113212
3
train
H1
H21
1,000
1,000
40
39.5
40.2
1.606526
-1.302388
-2.176695
-2.186046
6.844485
8.371481
7.117912
-2.186046
2.176695
0.028469
4.778795
2.989642
1.69734
7.074584
7.080163
1.349354
3
train
H0
H21
20
20
50
65
65
-0.300758
0.726625
-0.012288
-0.012241
2.87783
7.45448
3.00947
-0.300758
0.726625
0.05874
0.00015
0.13122
0.557646
0.810013
0.888995
-0.820739
3
train
H1
H21
20
20
50
30
45
1.088238
-1.102155
-0.978037
-0.970006
1.296985
2.388537
1.239395
1.088238
1.102155
0.251829
0.940911
1.165596
1.209762
0.192387
0.228228
1.145919
3
train
H0
H21
30
30
50
50
50
-0.773557
0.681503
0.838239
0.844034
0.717671
2.606436
0.735658
-0.773557
0.838239
0.456362
0.712393
0.671819
0.464911
0.794995
1.038513
-0.743885
3
train
H1
H21
30
30
50
63.333333
46.666667
-0.418819
0.299845
0.643999
0.64676
1.654893
5.108281
1.748764
0.64676
0.643999
0.164038
0.418299
0.26443
0.095535
1.710091
1.825477
-0.336657
3
train
H0
H21
50
50
50
60
40
-0.691686
0.58125
0.855179
0.852818
0.925983
0.994906
0.945756
0.852818
0.855179
0.528392
0.727299
0.549411
0.342633
1.193218
1.203691
-0.630462
3
train
H1
H21
50
50
50
46
50
0.556102
-0.767426
-0.172625
-0.172276
1.98449
4.725812
2.222196
-0.172276
0.767426
0.193011
0.029679
0.219788
0.574194
0.303853
0.484121
0.802619
3
train
H0
H21
75
75
50
49.333333
48
-0.958146
1.201912
0.550886
0.549631
3.524254
4.604431
3.372702
0.549631
1.201912
0.185194
0.302094
0.98512
1.449358
0.277347
0.228703
-1.24281
3
train
H1
H21
75
75
50
40
52
1.326305
-1.203888
-1.493244
-1.487896
2.381123
2.44578
2.368484
-1.487896
1.493244
0.205962
2.213834
1.749869
1.447281
1.87132
1.909871
1.264748
3
train
H0
H21
100
100
50
60
47
-1.114891
0.884877
1.354474
1.348697
2.4311
2.552538
2.461277
1.348697
1.354474
0.292106
1.818984
1.193594
0.781975
2.863947
2.891132
-0.945903
3
train
H1
H21
100
100
50
53
49
-0.139009
0.115227
0.185765
0.185475
0.079984
1.1449
0.063584
0.185475
0.185765
0.766248
0.034401
0.012342
0.013981
0.112037
0.094293
-0.12437
3
train
H0
H21
150
150
50
47.333333
48
-0.166569
0.071864
0.316805
0.316822
0.336211
1.07388
0.377541
0.316822
0.316805
0.783383
0.100376
0.041696
0.00516
0.388537
0.404889
-0.075143
3
train
H1
H21
150
150
50
51.333333
42
-1.528616
1.588726
1.279441
1.278441
2.93631
4.407262
2.772705
-1.528616
1.588726
0.093668
1.634411
2.409313
2.527709
0.221342
0.251295
-1.676359
3
train
H0
H21
200
200
50
55
51
-0.854986
0.690107
1.016832
1.014916
1.25127
1.278757
1.26019
1.014916
1.016832
0.458938
1.030054
0.707567
0.476378
1.425378
1.436832
-0.740596
3
train
H1
H21
200
200
50
52.5
46
-1.360707
1.359969
1.276954
1.274882
1.853457
1.895241
1.864127
-1.360707
1.359969
0.149947
1.625325
1.835452
1.854418
0.711524
0.730834
-1.439718
3
train
H0
H21
300
300
50
50.666667
51.666667
-0.451376
0.512579
0.339955
0.339705
0.357826
0.370955
0.352602
0.339705
0.512579
0.587462
0.115399
0.211245
0.262812
0.004332
0.006358
-0.542518
3
train
H1
H21
300
300
50
45.333333
46.666667
0.629448
-0.730153
-0.488099
-0.48756
0.476914
2.191005
0.5689
-0.48756
0.730153
0.442881
0.237715
0.349899
0.532829
0.002608
0.002208
0.767338
3
train
H0
H21
500
500
50
48.2
51
0.714832
-0.777135
-0.639517
-0.639742
0.511262
1.457483
0.545728
-0.639742
0.777135
0.413006
0.40927
0.506046
0.603841
0.091741
0.087962
0.818616
3
train
H1
H21
500
500
50
49.6
50.4
1.022974
-0.836595
-1.291743
-1.293599
2.458463
2.945628
2.380358
-1.293599
1.291743
0.304167
1.673399
0.992719
0.699521
2.316562
2.231103
0.885155
3
train
H0
H21
1,000
1,000
50
51
48.3
-1.353669
1.535164
0.977582
0.97718
3.183313
3.401122
3.319016
0.97718
1.535164
0.105506
0.95488
1.717013
2.356666
0.001359
0.000834
-1.618727
3
train
H1
H21
1,000
1,000
50
48.7
53
1.355564
-0.714398
-2.214154
-2.216885
14.034545
15.72114
14.393305
-2.216885
2.214154
0.000749
4.914578
1.807526
0.510069
12.71096
12.768887
0.753319