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
int64
20
1k
perc
int64
0
50
real_perc1
float64
0
95
real_perc2
float64
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95
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float64
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10.1
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float64
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8.5
logrank_test
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6.76
CoxMantel_test
float64
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7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
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10.1
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
H29
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train
H1
H29
20
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0
0
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train
H0
H29
30
30
0
0
0
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train
H1
H29
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0
0
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train
H0
H29
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train
H1
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train
H0
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train
H1
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train
H0
H29
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train
H1
H29
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0
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train
H0
H29
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0
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train
H1
H29
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0
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train
H0
H29
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train
H1
H29
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0
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train
H0
H29
300
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0
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train
H1
H29
300
300
0
0
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train
H0
H29
500
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0
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train
H1
H29
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0
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train
H0
H29
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train
H1
H29
1,000
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0
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train
H0
H29
20
20
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10
10
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train
H1
H29
20
20
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10
10
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train
H0
H29
30
30
10
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train
H1
H29
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train
H0
H29
50
50
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8
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train
H1
H29
50
50
10
16
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train
H0
H29
75
75
10
10.666667
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train
H1
H29
75
75
10
10.666667
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2
train
H0
H29
100
100
10
9
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train
H1
H29
100
100
10
7
10
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train
H0
H29
150
150
10
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8.666667
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train
H1
H29
150
150
10
13.333333
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train
H0
H29
200
200
10
7.5
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1.115233
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train
H1
H29
200
200
10
13.5
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0.607482
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train
H0
H29
300
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10
9.666667
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train
H1
H29
300
300
10
11.666667
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train
H0
H29
500
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10
11
10
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train
H1
H29
500
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10
8.6
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train
H0
H29
1,000
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10
8.5
9.8
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2
train
H1
H29
1,000
1,000
10
10.9
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4.82208
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28.872307
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5.640034
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train
H0
H29
20
20
20
35
25
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train
H1
H29
20
20
20
15
15
0.599935
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2
train
H0
H29
30
30
20
23.333333
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train
H1
H29
30
30
20
40
16.666667
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5.180485
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train
H0
H29
50
50
20
16
26
0.345413
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2
train
H1
H29
50
50
20
20
28
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train
H0
H29
75
75
20
24
21.333333
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3.963797
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2
train
H1
H29
75
75
20
21.333333
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train
H0
H29
100
100
20
15
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train
H1
H29
100
100
20
27
13
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2
train
H0
H29
150
150
20
24
18
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2
train
H1
H29
150
150
20
18.666667
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2
train
H0
H29
200
200
20
20
21.5
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2
train
H1
H29
200
200
20
20.5
24
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2
train
H0
H29
300
300
20
18.333333
18
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2
train
H1
H29
300
300
20
14.333333
16
1.566635
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2.010598
19.110978
3.698181
1.566635
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1.378939
2.667126
0.000022
0.000806
1.651791
2
train
H0
H29
500
500
20
19.8
20.6
-0.768034
0.777416
0.652569
0.652213
0.672027
1.217305
0.607017
-0.768034
0.777416
0.431836
0.425382
0.590212
0.604316
0.116859
0.154303
-0.786054
2
train
H1
H29
500
500
20
18.4
19.6
3.454665
-3.63899
-1.624349
-1.627979
22.299614
28.901006
26.57381
3.454665
3.63899
0.000002
2.650314
7.653242
13.303763
0.921443
0.899808
3.685167
2
train
H0
H29
1,000
1,000
20
20.1
21.5
0.712837
-0.688424
-0.831309
-0.830936
0.710491
0.847403
0.704918
-0.830936
0.831309
0.485152
0.690455
0.57468
0.473862
0.577514
0.54288
0.69804
2
train
H1
H29
1,000
1,000
20
18.9
18.5
3.457617
-3.773337
-0.503476
-0.504234
45.509764
50.998203
54.200769
3.457617
3.773337
0
0.254252
5.602468
14.288327
9.780698
9.661966
3.819738
2
train
H0
H29
20
20
30
30
25
-0.834721
0.773598
0.689692
0.675902
0.819267
1.195247
0.750535
-0.834721
0.773598
0.417111
0.456844
0.61999
0.5978
0.142476
0.255678
-0.811443
2
train
H1
H29
20
20
30
15
30
2.37027
-2.277008
-2.485482
-2.725084
8.167108
16.166929
7.958247
-2.725084
2.485482
0.001048
7.42608
6.130006
5.2964
6.878102
6.60065
2.397363
2
train
H0
H29
30
30
30
23.333333
43.333333
2.125782
-2.090353
-2.051842
-2.053989
4.505696
5.179216
4.561944
2.125782
2.090353
0.029677
4.218871
4.385596
4.402967
1.908702
1.877756
2.17437
2
train
H1
H29
30
30
30
26.666667
26.666667
-0.751751
0.811579
0.37119
0.366477
1.411085
1.674638
1.48078
-0.751751
0.811579
0.41265
0.134305
0.404712
0.658086
0.057454
0.07542
-0.81924
2
train
H0
H29
50
50
30
16
36
2.187644
-2.159064
-2.262424
-2.264596
5.183127
5.193125
5.179582
-2.264596
2.262424
0.027541
5.128397
5.061653
4.682743
3.182352
3.148163
2.20376
2
train
H1
H29
50
50
30
36
30
0.683944
-0.818904
-0.097408
-0.0968
2.80507
3.172391
3.011483
0.683944
0.818904
0.221853
0.00937
0.255996
0.670612
0.760234
0.749557
0.841474
2
train
H0
H29
75
75
30
32
40
0.278836
-0.17911
-0.572435
-0.570267
1.180358
1.199281
1.157919
-0.570267
0.572435
0.560481
0.325204
0.113837
0.032014
0.781915
0.766046
0.18842
2
train
H1
H29
75
75
30
29.333333
36
2.271837
-2.468802
-1.410488
-1.410824
8.904939
19.046048
10.341366
2.271837
2.468802
0.000267
1.990425
3.954396
6.162029
0.012395
0.02678
2.495075
2
train
H0
H29
100
100
30
28
28
-0.252297
0.367923
-0.341017
-0.342368
2.410531
4.368306
2.871065
-0.342368
0.367923
0.224342
0.117216
0.00076
0.135451
1.29558
1.285658
-0.382304
2
train
H1
H29
100
100
30
35
39
2.00019
-2.250527
-1.172928
-1.17258
8.212464
9.581247
8.792233
2.00019
2.250527
0.012325
1.374943
3.389335
5.074057
0.151007
0.141491
2.32242
2
train
H0
H29
150
150
30
31.333333
30
-0.996355
0.984316
0.930292
0.928211
1.008807
1.213461
0.991703
0.928211
0.984316
0.312054
0.861576
0.974311
0.968613
0.380653
0.482629
-1.010921
2
train
H1
H29
150
150
30
34
32.666667
0.358913
-0.481958
0.008037
0.008021
0.720463
8.522275
1.183731
0.358913
0.481958
0.036365
0.000064
0.027187
0.232504
0.365961
0.43218
0.493828
2
train
H0
H29
200
200
30
26
29.5
-0.795022
0.783505
0.742167
0.742717
0.560936
2.132236
0.633478
0.742717
0.783505
0.422661
0.551629
0.483172
0.614328
0.245277
0.208813
-0.801814
2
train
H1
H29
200
200
30
29.5
34
3.482974
-3.599499
-2.813677
-2.842395
13.525424
15.827724
14.125956
3.482974
3.599499
0.000226
8.079207
11.055278
13.076852
1.482779
1.48085
3.688403
2
train
H0
H29
300
300
30
29
30.333333
0.368532
-0.36986
-0.404853
-0.405543
0.202509
3.768097
0.165602
0.368532
0.404853
0.287619
0.164465
0.101557
0.136727
0.119495
0.108415
0.372139
2
train
H1
H29
300
300
30
33.333333
30.666667
1.378323
-1.642788
-0.345805
-0.345973
7.881042
13.881859
9.447188
1.378323
1.642788
0.00307
0.119697
1.086471
2.703417
1.635005
1.655525
1.687534
2
train
H0
H29
500
500
30
29.2
30.2
-0.799866
0.811571
0.797488
0.797588
0.665452
0.716553
0.659663
-0.799866
0.811571
0.407956
0.636146
0.712022
0.658836
0.376119
0.366478
-0.827496
2
train
H1
H29
500
500
30
32.2
28.6
1.63709
-2.091982
0.151358
0.151776
21.779173
31.991528
25.312715
0.151776
2.091982
0.000001
0.023036
1.224173
4.389764
7.056358
7.136569
2.144728
2
train
H0
H29
1,000
1,000
30
27.7
33.2
2.082965
-1.980522
-2.3718
-2.370961
5.82236
6.087555
5.773899
2.082965
2.3718
0.042974
5.621456
4.629317
3.922758
4.84563
4.841887
2.023967
2
train
H1
H29
1,000
1,000
30
30.3
29.8
2.842131
-3.273509
-1.031572
-1.03241
23.700948
42.263577
28.751876
2.842131
3.273509
0
1.065871
5.033973
10.739933
3.114415
3.127849
3.355805
2
train
H0
H29
20
20
40
20
45
0.460338
-0.469439
-0.434069
-0.436431
0.213369
0.288401
0.210419
-0.436431
0.469439
0.633043
0.190472
0.229643
0.21885
0.017091
0.035235
0.477448
2
train
H1
H29
20
20
40
50
35
-0.541791
0.556174
0.695622
0.677425
0.601992
1.120981
0.56465
0.677425
0.695622
0.54063
0.458905
0.35119
0.306933
0.893602
0.810904
-0.611861
2
train
H0
H29
30
30
40
53.333333
40
-0.945754
0.835814
0.993465
0.980623
0.969689
4.574049
0.962179
-0.945754
0.993465
0.20578
0.96162
0.984752
0.696125
0.872579
1.178553
-0.872656
2
train
H1
H29
30
30
40
53.333333
40
0.673025
-1.002545
-0.192171
-0.190322
3.324687
8.791676
3.895135
0.673025
1.002545
0.032193
0.036223
0.448366
1.01023
0.385187
0.573493
1.027538
2
train
H0
H29
50
50
40
38
44
0.184132
-0.090078
-0.519419
-0.517751
1.540352
1.864071
1.616081
-0.517751
0.519419
0.445731
0.268066
0.078417
0.008098
0.925583
0.889157
0.10344
2
train
H1
H29
50
50
40
58
44
-0.782895
0.489865
1.113509
1.110488
2.70564
5.788889
2.886947
1.110488
1.113509
0.122345
1.233184
0.654872
0.239592
3.133435
3.263229
-0.523002
2
train
H0
H29
75
75
40
42.666667
37.333333
-0.076668
-0.016936
0.256934
0.256326
0.35754
1.273389
0.423018
0.256326
0.256934
0.735462
0.065703
0.015578
0.000287
0.365821
0.436755
0.015138
2
train
H1
H29
75
75
40
42.666667
37.333333
0.408049
-0.530745
-0.112091
-0.111846
0.789029
1.856423
0.937738
-0.111846
0.530745
0.584442
0.01251
0.107758
0.281938
0.224015
0.250573
0.546907
2
train
H0
H29
100
100
40
39
33
-0.728633
0.658316
0.849084
0.848951
0.78909
0.808887
0.785828
-0.728633
0.849084
0.499189
0.720718
0.555574
0.432778
0.88301
0.870747
-0.675767
2
train
H1
H29
100
100
40
39
51
3.593382
-3.873982
-2.912332
-2.963251
16.259817
17.238107
16.648301
3.593382
3.873982
0.000064
8.780858
12.776775
15.169586
1.268105
1.37062
3.999287
2
train
H0
H29
150
150
40
42
46
-0.766447
1.154655
0.016419
0.016398
7.443298
7.529249
7.346966
0.016398
1.154655
0.025388
0.000269
0.583108
1.33387
2.4174
2.340494
-1.183649
2
train
H1
H29
150
150
40
40
40.666667
1.369854
-1.520027
-1.158138
-1.157939
1.766094
5.640115
2.052029
1.369854
1.520027
0.110422
1.340824
1.67734
2.319544
0.256272
0.199977
1.5963
2
train
H0
H29
200
200
40
43
38
-1.623095
1.503549
1.745762
1.752181
3.195908
8.786789
3.104646
1.752181
1.745762
0.032264
3.070137
2.360401
2.262533
2.601038
2.470255
-1.544559
2
train
H1
H29
200
200
40
42
41
2.085959
-2.323876
-1.364295
-1.368645
7.873241
19.151053
9.163486
2.085959
2.323876
0.000254
1.873188
3.377057
5.443402
0.037476
0.033634
2.410496
2
train
H0
H29
300
300
40
41.333333
38
-0.996932
0.951164
1.11461
1.113814
1.310215
1.718721
1.288111
1.113814
1.11461
0.329112
1.240581
1.011492
0.905051
1.166739
1.103976
-0.975905
2
train
H1
H29
300
300
40
38.333333
37
2.393525
-2.812423
-1.130951
-1.132428
16.391207
30.479684
19.013678
2.393525
2.812423
0.000001
1.282394
4.163988
7.952321
1.289969
1.334116
2.892534
2
train
H0
H29
500
500
40
41.8
39.8
-0.282947
0.328408
0.234367
0.234292
0.086657
0.348908
0.096662
-0.282947
0.328408
0.736161
0.054893
0.077603
0.107847
0.012602
0.010902
-0.336941
2
train
H1
H29
500
500
40
39.6
35
1.262477
-1.82443
0.312368
0.31239
21.106803
24.927866
22.902022
0.31239
1.82443
0.000011
0.097587
0.868483
3.332611
7.273042
7.14086
1.890927
2
train
H0
H29
1,000
1,000
40
42
35.6
-2.169022
1.945225
2.60515
2.605244
7.878423
8.13027
7.809075
2.605244
2.60515
0.02015
6.787296
4.965366
3.784093
7.631547
7.559944
-1.998573
2
train
H1
H29
1,000
1,000
40
40.7
41.1
4.712159
-5.567613
-2.623545
-2.629051
50.858741
80.513428
58.361873
4.712159
5.567613
0
6.911907
18.31241
31.132242
1.811764
1.859961
5.758674