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_MCE_test
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143
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
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0
99.4
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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
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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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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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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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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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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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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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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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train
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train
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train
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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
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train
H1
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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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train
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train
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train
H1
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4.309989
4.623132
4.506004
-0.042399
0.899009
0.105083
0.001798
0.280735
0.808833
1.286216
1.266253
0.956785
9
train
H0
H11
500
500
50
47
50.6
0.729399
-0.687128
-0.847055
-0.846379
0.797222
2.40329
0.844833
0.729399
0.847055
0.479912
0.716357
0.673572
0.472074
0.757206
0.755589
0.706445
9
train
H1
H11
500
500
50
47.8
48.4
-0.471474
0.241843
0.924903
0.927004
3.503056
3.5313
3.416002
0.927004
0.924903
0.181228
0.859337
0.244467
0.05852
2.848836
2.743898
-0.250262
9
train
H0
H11
1,000
1,000
50
51.8
50.6
-1.638912
1.825353
1.291377
1.29178
4.129556
4.247644
4.063155
-1.638912
1.825353
0.0584
1.668695
2.881643
3.333773
0.038249
0.038782
-1.89268
9
train
H1
H11
1,000
1,000
50
49.8
54.2
0.904533
-1.498104
-0.013641
-0.013701
12.621656
33.413088
14.338184
-0.013701
1.498104
0
0.000188
0.561953
2.246438
4.000753
4.079228
1.569501
9
train
H0
H12
20
20
0
0
0
1.650055
-1.650055
-1.240739
-1.225502
2.628763
4.154606
3.008451
1.650055
1.650055
0.094707
1.501856
2.200289
2.753237
0.212644
0.192332
1.671076
9
train
H1
H12
20
20
0
0
0
-0.378701
0.378701
1.067898
1.089391
3.719962
4.749797
3.444083
-0.378701
1.067898
0.178701
1.186773
0.458797
0.14239
3.0747
2.885761
-0.383526
9
train
H0
H12
30
30
0
0
0
1.256676
-1.256676
-1.481262
-1.493902
2.273315
2.425874
2.258155
-1.493902
1.481262
0.205055
2.231743
1.889916
1.580703
1.815691
1.770538
1.267281
9
train
H1
H12
30
30
0
0
0
0.63573
-0.63573
-0.124815
-0.122862
1.211383
1.084846
1.23972
-0.122862
0.63573
0.521461
0.015095
0.191991
0.402964
0.212348
0.163914
0.641095
9
train
H0
H12
50
50
0
0
0
-0.916878
0.916878
1.11257
1.109006
1.253965
1.520101
1.244866
1.109006
1.11257
0.356791
1.229894
1.028258
0.839366
1.092992
1.042993
-0.921497
9
train
H1
H12
50
50
0
0
0
-0.985816
0.985816
0.627921
0.621416
1.467822
1.800956
1.212414
-0.985816
0.985816
0.321792
0.386158
0.848175
0.971587
0.00437
0.023978
-0.990783
9
train
H0
H12
75
75
0
0
0
1.554234
-1.554234
-1.555789
-1.555274
2.613714
2.723302
2.584195
-1.555274
1.555789
0.121379
2.418876
2.637631
2.422488
1.334245
1.351068
1.54901
9
train
H1
H12
75
75
0
0
0
-1.170844
1.170844
1.143006
1.14847
1.788053
5.763305
1.435024
-1.170844
1.170844
0.123711
1.318984
1.679274
1.372873
0.617416
0.844008
-1.166908
9
train
H0
H12
100
100
0
0
0
-0.376282
0.376282
-0.151613
-0.151172
1.397214
2.292262
1.120614
-0.376282
0.376282
0.514005
0.022853
0.04353
0.141336
0.41421
0.336795
-0.377226
9
train
H1
H12
100
100
0
0
0
0.711026
-0.711026
-0.613748
-0.609982
0.404962
1.175811
0.505571
0.711026
0.711026
0.475963
0.372078
0.413667
0.505229
0.113118
0.090832
0.71281
9
train
H0
H12
150
150
0
0
0
-0.641598
0.641598
0.358989
0.357762
0.351683
2.556381
0.577689
-0.641598
0.641598
0.465188
0.127993
0.256058
0.411357
0.000693
0.006192
-0.64267
9
train
H1
H12
150
150
0
0
0
-0.704161
0.704161
0.906757
0.903611
0.825491
0.833275
0.844216
-0.704161
0.906757
0.4806
0.816513
0.686813
0.495684
0.761748
0.761935
-0.705337
9
train
H0
H12
200
200
0
0
0
-0.628815
0.628815
0.991359
0.995845
1.37563
1.80956
1.242732
0.995845
0.991359
0.528955
0.991708
0.549848
0.39522
1.243933
1.338249
-0.629602
9
train
H1
H12
200
200
0
0
0
1.267144
-1.267144
0.120008
0.119956
6.398807
5.954053
7.811758
1.267144
1.267144
0.020123
0.01439
0.467342
1.608774
2.132666
2.060884
1.268731
9
train
H0
H12
300
300
0
0
0
1.15398
-1.15398
-1.255698
-1.257396
1.835664
2.530251
1.596245
-1.257396
1.255698
0.248114
1.581045
1.812232
1.332183
1.099847
1.115198
1.154943
9
train
H1
H12
300
300
0
0
0
-1.031046
1.031046
0.486874
0.486551
2.159012
2.437732
1.748053
-1.031046
1.031046
0.302116
0.236732
0.850699
1.063277
0.049123
0.039392
-1.031906
9
train
H0
H12
500
500
0
0
0
0.827086
-0.827086
-0.997332
-0.996721
0.996013
1.060275
0.99936
-0.996721
0.997332
0.407954
0.993453
0.848302
0.683935
0.803544
0.84202
0.8275
9
train
H1
H12
500
500
0
0
0
-0.458105
0.458105
0.528666
0.528
0.294805
1.601342
0.278784
-0.458105
0.528666
0.646712
0.278784
0.234542
0.209823
0.215629
0.188341
-0.458334
9
train
H0
H12
1,000
1,000
0
0
0
-0.177571
0.177571
0.16004
0.159842
0.033105
0.451968
0.031669
-0.177571
0.177571
0.859025
0.02555
0.018271
0.031525
0.011248
0.008394
-0.177615
9
train
H1
H12
1,000
1,000
0
0
0
-0.461312
0.461312
0.567915
0.567791
0.448995
1.264985
0.326276
0.567791
0.567915
0.644492
0.322387
0.428973
0.212823
0.269181
0.26667
-0.461427
9
train
H0
H12
20
20
10
5
0
-0.294685
0.293882
-0.215932
-0.211722
1.119164
1.15133
1.136697
-0.211722
0.293882
0.56646
0.044826
0.009415
0.085432
0.445509
0.389549
-0.301154
9
train
H1
H12
20
20
10
10
10
-0.954027
0.922682
0.848074
0.839661
0.98151
1.123274
0.913895
-0.954027
0.922682
0.338773
0.705031
0.922682
0.853181
0.148251
0.168242
-0.956593
9
train
H0
H12
30
30
10
16.666667
3.333333
-2.528958
2.523048
2.450586
2.527331
6.92858
7.146726
6.782721
-2.528958
2.523048
0.010551
6.387404
6.99225
6.511856
2.490272
2.893988
-2.557228
9
train
H1
H12
30
30
10
6.666667
10
0.610489
-0.624255
-0.325082
-0.319023
0.691189
0.869888
0.615973
0.610489
0.624255
0.52575
0.101776
0.284891
0.387685
0.011373
0.000938
0.634507
9
train
H0
H12
50
50
10
12
0
-0.281036
0.211705
0.768534
0.761939
0.801506
4.969153
1.282043
0.761939
0.768534
0.17407
0.580552
0.284725
0.044761
1.035324
1.318638
-0.217365
9
train
H1
H12
50
50
10
14
10
-0.699554
0.657233
1.121566
1.115653
1.568201
1.705337
1.741605
1.115653
1.121566
0.418615
1.244681
0.820135
0.431328
1.788956
1.840678
-0.664349
9
train
H0
H12
75
75
10
10.666667
8
-0.541318
0.553935
0.286179
0.283791
0.378181
0.587259
0.486166
-0.541318
0.553935
0.578944
0.080537
0.186248
0.306321
0.002677
0.002994
-0.554929
9
train
H1
H12
75
75
10
5.333333
12
-0.102448
0.090978
0.069684
0.06943
0.005741
0.195006
0.013229
0.06943
0.090978
0.928605
0.004821
0.003729
0.008259
0.003699
0.001187
-0.0896
9
train
H0
H12
100
100
10
14
11
-0.776247
0.785065
0.759169
0.75506
0.570124
3.138365
0.619694
-0.776247
0.785065
0.37078
0.570115
0.534764
0.615268
0.309097
0.23921
-0.79744
9
train
H1
H12
100
100
10
7
11
0.714779
-0.751254
0.202429
0.203788
3.778994
3.774878
4.299334
0.714779
0.751254
0.116523
0.041529
0.120827
0.56478
1.450223
1.395995
0.766281
9
train
H0
H12
150
150
10
13.333333
9.333333
0.040014
-0.059968
0.471276
0.471875
1.681734
2.212144
1.326381
0.040014
0.471276
0.515205
0.222666
0.006984
0.003594
0.916437
0.836518
0.0612
9
train
H1
H12
150
150
10
10
8
-0.67511
0.647026
1.030441
1.027474
1.247302
1.248832
1.31701
1.027474
1.030441
0.511725
1.055704
0.707378
0.418411
1.350334
1.355893
-0.656154
9
train
H0
H12
200
200
10
11
9
-1.941651
1.902505
2.192745
2.205442
4.879824
5.029327
4.86686
-1.941651
2.192745
0.054689
4.863976
4.607148
3.630831
3.555216
3.537802
-1.921336
9
train
H1
H12
200
200
10
8.5
10.5
1.233475
-1.224004
-1.41888
-1.420491
2.018986
2.363896
2.024212
1.233475
1.41888
0.215915
2.017796
1.800552
1.498668
1.565082
1.627127
1.237464
9
train
H0
H12
300
300
10
13.666667
9.666667
-0.628496
0.578375
1.19025
1.190825
2.190782
2.036398
2.38778
1.190825
1.19025
0.30304
1.418063
0.77439
0.334455
2.316095
2.318024
-0.58413
9
train
H1
H12
300
300
10
11.666667
7
-1.05089
1.023341
1.397949
1.395477
1.979206
2.060998
2.120027
1.395477
1.397949
0.301339
1.947355
1.675355
1.047503
1.971813
1.950188
-1.033566
9
train
H0
H12
500
500
10
8.6
11.2
0.844658
-0.827165
-1.09378
-1.09253
1.327151
1.765503
1.274139
-1.09253
1.09378
0.404142
1.193623
0.857346
0.684002
1.153556
1.08239
0.834247
9
train
H1
H12
500
500
10
7.4
8
-1.449714
1.391743
2.163028
2.175111
5.144302
8.719208
5.802877
2.175111
2.163028
0.033267
4.73111
3.394124
1.938449
5.707038
5.798296
-1.402034
9
train
H0
H12
1,000
1,000
10
10.3
9.3
-1.084048
1.079514
1.028468
1.027687
1.275298
1.351657
1.194193
1.027687
1.079514
0.276757
1.056141
1.281683
1.165346
0.479489
0.46676
-1.087633
9
train
H1
H12
1,000
1,000
10
10.5
10.4
0.286332
-0.303067
0.066209
0.066144
0.41045
0.491268
0.572482
0.286332
0.303067
0.751082
0.004375
0.017145
0.091838
0.201142
0.19877
0.305951