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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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
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MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
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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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train
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train
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train
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train
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train
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7,644
train
H1
H25
300
300
20
17.666667
19.666667
0.363764
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0.181934
1.15821
0.183461
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0.425473
0.729734
0.180251
0.171486
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0.163074
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7,644
train
H0
H25
500
500
20
21
21.8
-0.132041
0.235161
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2.073052
2.290407
2.261221
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0.483823
0.322836
0.23368
0.003412
0.055289
1.310803
1.351359
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7,644
train
H1
H25
500
500
20
22.2
18.6
1.337141
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4.879168
10.077261
3.566708
1.337141
1.405299
0.017921
0.474903
1.708582
1.975957
0.07972
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1.42581
7,644
train
H0
H25
1,000
1,000
20
19.6
20.5
0.153659
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0.540098
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0.418089
0.782547
0.174676
0.047016
0.013557
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7,644
train
H1
H25
1,000
1,000
20
21
19.5
-1.558265
1.627218
1.125708
1.125176
2.059208
7.052369
2.928604
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1.627218
0.070247
1.26602
1.746319
2.648864
0.076904
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7,644
train
H0
H25
20
20
30
30
15
-0.455086
0.482643
0.558466
0.547294
0.355394
1.896804
0.315649
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0.558466
0.594099
0.299531
0.227491
0.230995
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7,644
train
H1
H25
20
20
30
25
15
-0.153833
0.186467
0.115518
0.113712
0.014615
2.553254
0.030032
0.113712
0.186467
0.465744
0.01293
0.007159
0.034688
0.011642
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7,644
train
H0
H25
30
30
30
23.333333
50
0.402204
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10.366841
10.964005
10.074359
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1.328246
0.006492
1.774486
0.295299
0.000719
7.614465
7.164074
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7,644
train
H1
H25
30
30
30
20
36.666667
2.329409
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10.437129
13.916781
10.184784
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2.638088
0.003021
8.026932
6.09064
4.743114
9.540857
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7,644
train
H0
H25
50
50
30
28
36
0.415845
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0.153193
0.153944
2.780822
2.913051
2.658581
0.415845
0.576355
0.264665
0.023699
0.098713
0.331243
1.127358
1.021452
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7,644
train
H1
H25
50
50
30
32
38
1.10457
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2.774795
7.941135
3.162543
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1.497065
0.047244
2.29556
1.585806
0.774115
2.99738
3.600404
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7,644
train
H0
H25
75
75
30
34.666667
18.666667
-1.500465
1.431758
1.704693
1.700724
2.973476
3.099903
2.943874
1.700724
1.704693
0.139477
2.892461
2.387533
2.046299
2.603946
2.64927
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7,644
train
H1
H25
75
75
30
30.666667
36
0.532946
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0.281434
1.052901
0.321477
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0.594314
0.540344
0.194937
0.2756
0.352589
0.02238
0.004131
0.612293
7,644
train
H0
H25
100
100
30
33
28
-0.562476
0.451396
0.865551
0.867612
1.181805
1.399295
1.2648
0.867612
0.865551
0.531315
0.752751
0.433198
0.204915
1.373285
1.374581
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7,644
train
H1
H25
100
100
30
35
27
-0.627629
0.474252
0.988325
0.98411
1.430999
4.247334
1.661367
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0.988325
0.235965
0.968472
0.540541
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1.628125
1.890323
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7,644
train
H0
H25
150
150
30
32.666667
32.666667
0.75321
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2.864459
4.502327
2.543054
0.75321
0.876659
0.212083
0.053273
0.471788
0.768816
0.419343
0.359073
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7,644
train
H1
H25
150
150
30
24.666667
26.666667
-1.15669
1.224718
0.763175
0.761016
1.703915
2.456871
1.95887
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1.224718
0.207409
0.579146
1.069876
1.501448
0.000848
0.001049
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7,644
train
H0
H25
200
200
30
31.5
29
1.253605
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1.967035
2.900244
1.988901
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1.390422
0.228307
1.965908
1.821055
1.372776
1.509138
1.540035
1.204731
7,644
train
H1
H25
200
200
30
25.5
28
0.331925
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0.088503
0.828839
0.110837
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0.35173
0.716562
0.088178
0.0757
0.123626
0.020935
0.013611
0.363058
7,644
train
H0
H25
300
300
30
32.666667
32
-0.70575
0.782825
0.362717
0.363202
1.098924
1.726794
1.23841
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0.782825
0.417242
0.131916
0.358829
0.614083
0.053492
0.05625
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7,644
train
H1
H25
300
300
30
28
32.666667
0.078839
0.176125
-0.943944
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5.035707
6.824885
5.690215
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0.943944
0.058128
0.89119
0.10061
0.031011
3.855571
3.929342
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7,644
train
H0
H25
500
500
30
33.4
31.6
0.023798
-0.24774
0.815582
0.818352
5.870515
5.871373
5.705859
0.818352
0.815582
0.057675
0.669699
0.021769
0.061319
3.59538
3.5559
0.260276
7,644
train
H1
H25
500
500
30
25.8
28.4
0.975107
-0.714323
-1.991694
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9.094277
10.067803
9.416805
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1.991694
0.009019
4.002674
1.553234
0.51039
8.571136
8.621783
0.737481
7,644
train
H0
H25
1,000
1,000
30
27.9
28.9
1.357622
-1.281707
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2.352318
2.639988
2.366409
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1.529684
0.185688
2.34188
2.049059
1.642821
1.863505
1.880145
1.323444
7,644
train
H1
H25
1,000
1,000
30
30.2
29.2
1.475511
-1.382435
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2.577453
4.219326
2.525459
1.475511
1.58717
0.152609
2.525423
2.555495
1.912416
1.803012
1.838785
1.430378
7,644
train
H0
H25
20
20
40
45
30
-1.926388
1.988336
1.729361
1.733588
3.848267
4.865086
3.964095
-1.926388
1.988336
0.03545
3.005327
3.709322
4.060206
0.795926
0.812354
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7,644
train
H1
H25
20
20
40
40
45
1.066799
-1.042716
-1.053264
-1.060513
1.153696
1.297629
1.15844
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1.053264
0.260708
1.124687
1.069984
1.063161
0.380249
0.32792
1.124719
7,644
train
H0
H25
30
30
40
36.666667
43.333333
0.537118
-0.3877
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1.673448
1.765139
1.698032
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0.875936
0.427836
0.752764
0.329798
0.143267
1.283184
1.297596
0.415442
7,644
train
H1
H25
30
30
40
46.666667
50
0.070663
0.062201
-0.22947
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0.301566
1.101836
0.347278
-0.226649
0.22947
0.776631
0.05137
0.008205
0.003846
0.120577
0.125228
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7,644
train
H0
H25
50
50
40
48
34
-1.012417
0.940841
1.188785
1.182005
1.567171
1.746789
1.547349
1.182005
1.188785
0.313575
1.397135
1.097395
0.8831
1.744984
1.719665
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7,644
train
H1
H25
50
50
40
40
52
0.881337
-0.829289
-0.986707
-0.986438
1.037279
1.274404
1.05417
-0.986438
0.986707
0.392371
0.97306
0.894678
0.686945
0.885153
0.919846
0.855325
7,644
train
H0
H25
75
75
40
41.333333
34.666667
-0.977546
0.967483
0.874354
0.868053
1.038658
1.382444
0.97896
-0.977546
0.967483
0.315822
0.753517
0.979051
0.93465
0.279612
0.297613
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7,644
train
H1
H25
75
75
40
32
44
1.401458
-0.994568
-2.254223
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13.623116
15.000823
13.207951
-2.295622
2.254223
0.001355
5.269879
2.236063
0.986064
12.048636
11.756285
1.045977
7,644
train
H0
H25
100
100
40
43
46
-0.387678
0.445009
0.212138
0.211659
0.467572
0.543891
0.439863
0.211659
0.445009
0.641577
0.0448
0.147726
0.197904
0.013526
0.009163
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7,644
train
H1
H25
100
100
40
31
39
-0.312759
0.48066
-0.445543
-0.447182
5.017366
6.846945
4.336683
-0.447182
0.48066
0.07694
0.199972
0.048176
0.232489
2.291349
2.065316
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7,644
train
H0
H25
150
150
40
38.666667
46
0.343043
-0.238424
-0.565377
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0.74399
0.751867
0.731228
-0.564924
0.565377
0.69377
0.319139
0.138152
0.056786
0.585891
0.543263
0.247796
7,644
train
H1
H25
150
150
40
38.666667
38
0.556801
-0.478112
-0.761708
-0.7624
0.816771
0.775727
0.832428
-0.7624
0.761708
0.619777
0.581254
0.378039
0.227747
0.728821
0.661837
0.496167
7,644
train
H0
H25
200
200
40
38
44
0.340615
-0.324849
-0.301911
-0.301145
0.165062
1.156543
0.119139
-0.301145
0.324849
0.731509
0.090688
0.150123
0.10547
0.013225
0.025794
0.343119
7,644
train
H1
H25
200
200
40
46.5
39.5
-2.665928
2.886913
2.147286
2.150638
8.354309
12.622905
8.884748
-2.665928
2.886913
0.002642
4.625242
6.762374
8.362177
0.317431
0.294075
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7,644
train
H0
H25
300
300
40
41
40
0.173759
-0.046682
-0.395323
-0.395652
0.500519
0.900811
0.549966
-0.395652
0.395323
0.759585
0.156541
0.035497
0.002151
0.412071
0.420226
0.045259
7,644
train
H1
H25
300
300
40
38.333333
36
-0.037332
0.102036
0.021446
0.021435
0.028736
4.650064
0.003182
0.021435
0.102036
0.199289
0.000459
0.001682
0.010408
0.000014
0.000362
-0.105923
7,644
train
H0
H25
500
500
40
40
38.2
0.217753
-0.339006
0.05736
0.057332
0.545641
1.990757
0.723814
0.057332
0.339006
0.574327
0.003287
0.014905
0.114864
0.279388
0.284838
0.35402
7,644
train
H1
H25
500
500
40
41.6
41
-0.48645
0.523302
0.45825
0.457904
0.212045
1.806683
0.237018
-0.48645
0.523302
0.585155
0.209676
0.203721
0.274052
0.097108
0.07718
-0.54587
7,644
train
H0
H25
1,000
1,000
40
40.2
39.2
-1.6724
1.725974
1.416504
1.416653
2.897391
3.232419
3.024838
-1.6724
1.725974
0.070196
2.006905
2.650952
2.979955
0.40183
0.40632
-1.810645
7,644
train
H1
H25
1,000
1,000
40
40.9
39.8
0.049312
0.303549
-0.923634
-0.926361
7.418603
7.011954
7.439195
-0.926361
0.923634
0.024244
0.858146
0.033716
0.092161
4.749206
4.668935
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