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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perc
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0
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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
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float64
0
71.6
WKM_test
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3
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
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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
H0
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train
H1
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train
H0
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train
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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
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train
H1
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train
H0
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train
H1
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20
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train
H0
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train
H1
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train
H0
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50
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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
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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
H05
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12.943015
13.464661
13.330266
2.747359
2.887571
0.001275
2.347335
5.89647
8.372623
0.087174
0.083941
2.936253
3
train
H0
H05
500
500
20
19.6
21.4
0.052361
-0.043913
-0.182082
-0.18176
0.195289
1.209883
0.112149
-0.18176
0.182082
0.750635
0.033037
0.004841
0.001928
0.076202
0.055134
0.044767
3
train
H1
H05
500
500
20
20.6
17
1.468309
-1.479507
-1.194477
-1.197553
2.471883
2.888242
2.277515
-1.197553
1.479507
0.132888
1.434134
2.093342
2.190268
0.290017
0.307423
1.502809
3
train
H0
H05
1,000
1,000
20
22.3
18.9
-1.466811
1.445477
1.529716
1.530225
2.369234
8.300074
2.367192
1.530225
1.529716
0.040201
2.341587
1.954707
2.089481
1.527263
1.455934
-1.46458
3
train
H1
H05
1,000
1,000
20
18.7
19.5
5.152769
-5.16811
-4.307426
-4.338372
28.710944
29.665279
27.525755
5.152769
5.16811
0
18.821469
25.684412
26.810584
5.271327
5.400192
5.242622
3
train
H0
H05
20
20
30
15
20
0.892329
-0.874466
-1.048773
-1.04631
1.163846
1.218267
1.158613
0.892329
1.048773
0.371209
1.094764
0.907279
0.762898
0.778718
0.715467
0.894211
3
train
H1
H05
20
20
30
40
35
-0.490495
0.426222
0.532779
0.525002
0.282563
0.778396
0.277422
0.525002
0.532779
0.654097
0.275628
0.206019
0.180854
0.422662
0.392932
-0.448077
3
train
H0
H05
30
30
30
33.333333
26.666667
-0.359155
0.366863
0.416913
0.412033
0.185452
5.554588
0.177761
-0.359155
0.416913
0.13541
0.169771
0.243821
0.134657
0.190401
0.375968
-0.372425
3
train
H1
H05
30
30
30
33.333333
33.333333
1.630126
-1.68748
-1.415653
-1.439257
2.670734
8.850877
2.942422
1.630126
1.68748
0.031341
2.07146
2.366225
2.929428
0.551569
0.409078
1.734656
3
train
H0
H05
50
50
30
28
34
0.262436
-0.200924
-0.501766
-0.495348
0.664684
0.931713
0.582006
-0.495348
0.501766
0.747513
0.245369
0.070471
0.040261
0.437014
0.362716
0.208328
3
train
H1
H05
50
50
30
34
28
0.107594
-0.079222
-0.206754
-0.208084
0.073322
2.161587
0.121978
-0.208084
0.206754
0.539554
0.043299
0.032853
0.006263
0.053627
0.06763
0.079619
3
train
H0
H05
75
75
30
22.666667
36
0.619334
-0.644676
-0.425694
-0.426331
0.601781
0.681649
0.579939
-0.426331
0.644676
0.51032
0.181758
0.324127
0.414863
0.00091
0
0.65834
3
train
H1
H05
75
75
30
33.333333
32
1.479497
-1.456344
-1.495417
-1.53742
2.381092
2.77447
2.370107
-1.53742
1.495417
0.141014
2.363659
2.395625
2.128091
1.377179
1.463373
1.472026
3
train
H0
H05
100
100
30
21
31
0.653275
-0.490315
-1.262821
-1.265418
3.778927
3.951257
3.611881
-1.265418
1.262821
0.16432
1.601284
0.597087
0.240116
3.197906
3.223346
0.510859
3
train
H1
H05
100
100
30
32
34
1.710285
-1.655936
-1.759349
-1.792898
3.224626
5.398405
3.214973
-1.792898
1.759349
0.091893
3.214483
2.80567
2.746945
2.111078
2.048723
1.685493
3
train
H0
H05
150
150
30
31.333333
26.666667
-0.426405
0.521872
0.03193
0.031909
1.058126
1.595941
1.273049
0.031909
0.521872
0.529128
0.001018
0.08999
0.272261
0.269823
0.256383
-0.533684
3
train
H1
H05
150
150
30
29.333333
30
0.934624
-0.907312
-0.879556
-0.878286
0.970368
2.378976
0.87257
-0.878286
0.907312
0.353048
0.771385
0.936294
0.823138
0.281854
0.342953
0.928694
3
train
H0
H05
200
200
30
32.5
33
-0.891143
0.98832
0.51106
0.510391
1.849644
1.934599
1.782152
-0.891143
0.98832
0.312513
0.260499
0.692138
0.976833
0.046672
0.036603
-1.009963
3
train
H1
H05
200
200
30
28
32.5
2.242302
-2.214842
-2.116543
-2.127564
5.192969
6.065458
5.044938
-2.127564
2.214842
0.02331
4.526529
5.147903
4.91518
1.995665
2.128525
2.268322
3
train
H0
H05
300
300
30
33.666667
31
-1.392182
1.33228
1.401473
1.400575
2.022692
2.080182
2.011594
1.400575
1.401473
0.173153
1.96161
1.966859
1.775821
1.203041
1.250547
-1.362141
3
train
H1
H05
300
300
30
29.333333
29
2.070951
-2.121472
-1.515662
-1.519799
5.621644
5.343326
5.615224
-1.519799
2.121472
0.030531
2.309789
3.777132
4.506298
0.120031
0.154455
2.163136
3
train
H0
H05
500
500
30
31.4
26.2
-2.68206
2.57187
2.981354
2.993478
9.029743
9.068314
9.053437
-2.68206
2.981354
0.00873
8.96091
7.93184
6.62385
7.358775
7.434201
-2.622465
3
train
H1
H05
500
500
30
28.2
34.6
5.414466
-5.344691
-5.286512
-5.391523
30.161763
30.682916
30.277703
5.414466
5.344691
0
29.068518
30.000027
28.80873
16.329256
16.36746
5.479966
3
train
H0
H05
1,000
1,000
30
28.1
26.9
0.383787
-0.398216
-0.262355
-0.262191
0.239919
0.327818
0.211436
0.383787
0.398216
0.68514
0.068744
0.135933
0.158556
0.000001
0.000078
0.405459
3
train
H1
H05
1,000
1,000
30
29.2
30.4
3.984924
-3.853118
-4.06388
-4.104761
17.133674
17.921121
17.037588
3.984924
4.06388
0.000083
16.849063
16.683773
14.881549
10.633905
10.77629
3.934257
3
train
H0
H05
20
20
40
45
35
-0.278867
0.264615
0.286382
0.284798
0.082171
1.37725
0.08127
0.284798
0.286382
0.710876
0.08111
0.066594
0.069647
0.155914
0.141855
-0.284309
3
train
H1
H05
20
20
40
30
30
0.062893
-0.161503
0.140404
0.141219
0.57887
4.445031
0.43067
0.141219
0.161503
0.217246
0.019943
0.008351
0.02596
0.313096
0.220845
0.147413
3
train
H0
H05
30
30
40
23.333333
33.333333
1.920233
-1.999539
-1.560843
-1.609637
4.61737
7.585224
4.314294
1.920233
1.999539
0.040349
2.59093
3.734139
4.065537
0.526949
0.650615
2.050162
3
train
H1
H05
30
30
40
43.333333
43.333333
1.766655
-1.872043
-1.436399
-1.50414
4.38988
6.647317
4.224062
1.766655
1.872043
0.047406
2.262438
3.18741
3.568429
0.2933
0.345081
1.982656
3
train
H0
H05
50
50
40
28
40
0.602892
-0.596522
-0.657864
-0.654525
0.431533
0.442295
0.43274
-0.654525
0.657864
0.538307
0.428403
0.398931
0.354754
0.256456
0.241411
0.615376
3
train
H1
H05
50
50
40
48
48
1.07197
-1.079952
-0.997648
-1.009742
1.169069
1.212927
1.17871
-1.009742
1.079952
0.263024
1.019579
1.134214
1.170848
0.240647
0.25443
1.119272
3
train
H0
H05
75
75
40
36
38.666667
-0.792848
0.809165
0.672031
0.671493
0.56669
3.291021
0.688039
0.671493
0.809165
0.348894
0.450903
0.479459
0.65547
0.114682
0.077459
-0.827764
3
train
H1
H05
75
75
40
36
48
1.449471
-1.378647
-1.629321
-1.626485
2.80356
3.559703
2.75027
-1.626485
1.629321
0.154046
2.645454
2.148577
1.906188
2.09187
2.024323
1.425386
3
train
H0
H05
100
100
40
45
43
0.51033
-0.649455
-0.237548
-0.237259
1.384549
5.684971
1.143072
-0.237259
0.649455
0.127985
0.056292
0.325292
0.421538
0.123075
0.102292
0.664382
3
train
H1
H05
100
100
40
35
37
1.79743
-1.982413
-1.100486
-1.100756
6.835365
6.903037
6.816773
1.79743
1.982413
0.033095
1.211663
2.833475
3.944099
0.056835
0.051978
2.037553
3
train
H0
H05
150
150
40
43.333333
37.333333
-0.35468
0.312545
0.609385
0.6073
1.132578
4.319103
0.871095
0.6073
0.609385
0.229005
0.368813
0.113084
0.097633
0.840479
0.671557
-0.32533
3
train
H1
H05
150
150
40
29.333333
43.333333
3.817437
-3.812185
-3.549916
-3.604041
14.504498
16.665148
14.764433
3.817437
3.812185
0.000091
12.989112
14.124015
14.640646
5.705264
5.689795
3.914272
3
train
H0
H05
200
200
40
36
36.5
-0.451986
0.576828
0.245448
0.245162
0.381668
3.561285
0.537467
0.245162
0.576828
0.3129
0.060104
0.161204
0.332671
0.020103
0.047569
-0.590559
3
train
H1
H05
200
200
40
44.5
35.5
-0.267889
0.235811
0.360525
0.360353
0.134605
2.850394
0.186759
-0.267889
0.360525
0.415271
0.129854
0.148705
0.055624
0.222875
0.271112
-0.240711
3
train
H0
H05
300
300
40
36.333333
36
0.696707
-0.751259
-0.570628
-0.569579
0.401585
4.693088
0.564198
-0.569579
0.751259
0.1957
0.324421
0.352588
0.564338
0.037392
0.019732
0.771362
3
train
H1
H05
300
300
40
37.666667
38.333333
1.986515
-2.054216
-1.811082
-1.822547
3.875314
5.662866
4.018183
1.986515
2.054216
0.03459
3.321678
3.889878
4.232509
1.15642
1.124877
2.113131
3
train
H0
H05
500
500
40
43.4
41.8
-0.302182
0.123926
0.658365
0.658408
1.796795
2.713158
1.608518
0.658408
0.658365
0.437996
0.433501
0.07291
0.015354
1.372304
1.290529
-0.128719
3
train
H1
H05
500
500
40
40.6
36.2
1.532054
-1.543315
-1.364965
-1.376705
2.303648
3.671588
2.436709
1.532054
1.543315
0.112446
1.895317
2.124222
2.385661
0.538502
0.511411
1.587294
3
train
H0
H05
1,000
1,000
40
42.2
40.2
-0.331495
0.24438
0.463415
0.4633
0.255973
6.163996
0.3618
-0.331495
0.463415
0.103898
0.214647
0.201392
0.059719
0.36918
0.380753
-0.251094
3
train
H1
H05
1,000
1,000
40
40
40.7
3.448154
-3.506549
-3.120258
-3.141477
11.638226
18.462795
12.207617
3.448154
3.506549
0.000293
9.868879
11.103791
12.324306
3.383644
3.318829
3.621429