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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143
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Q_test
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MIN3_test
float64
0
1
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0
84.2
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0
99.4
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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7,649
train
H1
H11
300
300
0
0
0
0.212426
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1.52044
1.536492
12.263959
11.119375
12.945487
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2.360808
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7,649
train
H0
H11
500
500
0
0
0
0.167738
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2.326153
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7,649
train
H1
H11
500
500
0
0
0
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2.14674
2.151495
4.659905
4.654617
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0.089435
4.628931
3.983746
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7,649
train
H0
H11
1,000
1,000
0
0
0
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0.314485
0.62926
0.628578
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1.290711
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0.62926
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0.39511
0.259618
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7,649
train
H1
H11
1,000
1,000
0
0
0
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1.775587
1.779386
5.900714
5.001761
7.211618
1.779386
1.775587
0.027165
3.166214
1.348867
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7,649
train
H0
H11
20
20
10
10
15
-0.229497
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0.765718
1.942083
1.99372
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0.765718
0.763298
0.394576
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0.166645
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7,649
train
H1
H11
20
20
10
15
10
-0.087425
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0.002069
0.002047
0.019345
0.590766
0.048699
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0.898543
0.000004
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0.006678
0.00005
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7,649
train
H0
H11
30
30
10
3.333333
6.666667
1.145651
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1.368038
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1.404331
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0.247884
1.345851
1.325956
1.302004
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1.155503
7,649
train
H1
H11
30
30
10
3.333333
10
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0.596242
0.084243
0.083768
1.773496
3.617299
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0.083768
0.596242
0.305864
0.007017
0.218612
0.354277
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7,649
train
H0
H11
50
50
10
4
10
2.229236
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5.112353
5.268377
5.165123
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2.223926
0.025221
4.755378
5.098337
4.995019
2.367898
2.378693
2.238007
7,649
train
H1
H11
50
50
10
4
6
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0.177832
0.086556
0.085633
0.058442
0.222855
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0.177832
0.860364
0.007333
0.025497
0.031543
0.000258
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7,649
train
H0
H11
75
75
10
8
6.666667
0.119929
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0.456965
0.460154
2.815867
11.629583
1.706845
0.460154
0.456965
0.008766
0.211741
0.000323
0.020321
1.053755
0.888462
0.135245
7,649
train
H1
H11
75
75
10
12
9.333333
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0.110055
0.723591
0.720713
1.368784
1.981394
1.686834
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0.723591
0.430238
0.519428
0.16828
0.012093
1.492257
1.528068
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7,649
train
H0
H11
100
100
10
8
12
-0.119132
0.105296
0.475067
0.477403
0.68439
1.00226
0.784323
0.477403
0.475067
0.675595
0.227914
0.080824
0.011073
0.696171
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7,649
train
H1
H11
100
100
10
8
14
-0.526826
0.52504
0.229739
0.229413
0.983778
3.429342
0.573406
0.229413
0.52504
0.330043
0.052631
0.248982
0.275538
0.027333
0.003986
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7,649
train
H0
H11
150
150
10
4.666667
12.666667
0.906459
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1.119156
1.133373
1.11209
0.906459
1.057866
0.371124
1.107306
0.915704
0.787856
0.817988
0.85482
0.89437
7,649
train
H1
H11
150
150
10
10
9.333333
0.016339
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0.565278
0.565494
1.610122
1.60206
1.735257
0.016339
0.565278
0.419946
0.319784
0.047111
0.001706
1.272493
1.254255
0.039752
7,649
train
H0
H11
200
200
10
15
10.5
-2.365804
2.376361
1.89657
1.894453
6.085582
6.054529
5.926659
1.894453
2.376361
0.016796
3.588954
5.157407
5.661327
0.62226
0.734321
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7,649
train
H1
H11
200
200
10
9
9
0.106398
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0.550619
0.549407
1.379759
1.524233
2.016605
0.106398
0.550619
0.364838
0.301848
0.05391
0.017504
1.30908
1.310686
0.131666
7,649
train
H0
H11
300
300
10
11
8.666667
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1.565287
1.420792
1.420477
2.592735
2.745866
2.477694
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1.565287
0.115435
2.017756
2.494808
2.450623
0.767213
0.783643
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7,649
train
H1
H11
300
300
10
9.666667
9
-0.296819
0.299525
0.3424
0.341565
0.130974
0.630739
0.117002
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0.3424
0.763016
0.116666
0.142291
0.089694
0.105413
0.127643
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7,649
train
H0
H11
500
500
10
11.4
8.2
-0.713555
0.658345
1.507141
1.507344
4.076225
4.853993
4.233933
1.507344
1.507141
0.120396
2.272087
1.004255
0.433309
4.12586
4.24707
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7,649
train
H1
H11
500
500
10
9.8
9.6
-0.307775
0.218481
1.884478
1.900943
12.847523
13.291983
13.700535
1.900943
1.884478
0.001059
3.613586
0.82954
0.047753
10.574086
10.601962
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7,649
train
H0
H11
1,000
1,000
10
9.4
9.8
0.171568
-0.17034
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0.065641
0.513593
0.049417
0.171568
0.17034
0.864252
0.007993
0.020536
0.02901
0.001641
0.00005
0.170964
7,649
train
H1
H11
1,000
1,000
10
10.9
10.6
-0.017833
-0.037716
0.800651
0.800473
1.771711
7.628558
3.01509
0.800473
0.800651
0.054346
0.640757
0.181734
0.001423
2.193535
2.329903
0.037608
7,649
train
H0
H11
20
20
20
20
15
0.25584
-0.304003
0.090507
0.089338
0.653291
0.735584
0.687973
0.089338
0.304003
0.708939
0.007981
0.020242
0.092009
0.384861
0.370813
0.317265
7,649
train
H1
H11
20
20
20
35
30
-0.747155
0.603666
0.891732
0.884645
0.818523
2.849137
0.865999
-0.747155
0.891732
0.415475
0.782596
0.608748
0.363007
1.053587
1.297815
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7,649
train
H0
H11
30
30
20
20
30
1.55914
-1.556172
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2.646494
2.712641
2.653211
1.55914
1.556172
0.111886
1.702711
2.167119
2.429749
0.326938
0.303556
1.589773
7,649
train
H1
H11
30
30
20
26.666667
3.333333
-1.192478
1.103651
2.164097
2.241303
11.482379
11.367473
11.388547
2.241303
2.164097
0.003365
5.02344
2.599403
1.218754
11.021509
10.771105
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7,649
train
H0
H11
50
50
20
34
26
0.078289
-0.056072
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-0.155729
0.029364
1.569372
0.06479
0.078289
0.155604
0.666354
0.024252
0.028302
0.003147
0.037335
0.049299
0.054551
7,649
train
H1
H11
50
50
20
22
18
-0.870932
0.880527
0.632009
0.627866
0.951901
0.971982
0.937069
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0.880527
0.369668
0.394216
0.648206
0.775186
0.042038
0.045921
-0.897095
7,649
train
H0
H11
75
75
20
14.666667
25.333333
0.35615
-0.376104
-0.340384
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0.125153
0.155466
0.127871
0.35615
0.376104
0.703905
0.114821
0.127519
0.141182
0.027229
0.033301
0.380055
7,649
train
H1
H11
75
75
20
20
25.333333
0.669791
-0.810653
0.068373
0.068661
3.227442
4.799947
3.743661
0.669791
0.810653
0.153842
0.004714
0.17839
0.657345
1.150532
1.129063
0.826613
7,649
train
H0
H11
100
100
20
15
22
1.360404
-1.253257
-1.985188
-2.021577
6.469564
8.877128
6.044607
-2.021577
1.985188
0.03097
4.086773
2.38884
1.570379
5.761169
5.636504
1.245145
7,649
train
H1
H11
100
100
20
17
21
-0.833306
0.823594
0.883655
0.887064
0.854237
2.821431
0.789437
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0.883655
0.403013
0.786883
0.922716
0.680164
0.566759
0.651876
-0.836253
7,649
train
H0
H11
150
150
20
22.666667
21.333333
0.148777
-0.15895
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-0.140492
0.024505
1.794046
0.022244
0.148777
0.15895
0.616231
0.019738
0.010855
0.025238
0.003882
0.000807
0.162491
7,649
train
H1
H11
150
150
20
24
18
-0.613434
0.563011
0.86554
0.862313
1.068754
1.656529
0.950273
-0.613434
0.86554
0.565685
0.743583
0.413175
0.316645
1.006334
1.013102
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7,649
train
H0
H11
200
200
20
11
17
0.263848
-0.231229
-0.597661
-0.59601
0.617671
1.011974
0.768985
-0.59601
0.597661
0.680796
0.355228
0.178977
0.053437
0.667858
0.67666
0.234711
7,649
train
H1
H11
200
200
20
21.5
16.5
-1.169244
1.021448
2.227006
2.249978
9.860683
10.098378
10.354053
2.249978
2.227006
0.005645
5.062402
2.514657
1.044807
9.929125
9.930254
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7,649
train
H0
H11
300
300
20
22.333333
24
0.010306
0.017602
-0.148974
-0.148754
0.183964
0.442468
0.135118
-0.148754
0.148974
0.931336
0.022128
0.000383
0.00031
0.072811
0.066009
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7,649
train
H1
H11
300
300
20
21
18.666667
-0.075029
-0.055522
1.060445
1.061582
5.666317
6.078256
6.297012
1.061582
1.060445
0.042916
1.126956
0.189425
0.003083
4.411552
4.331848
0.053603
7,649
train
H0
H11
500
500
20
18.4
17.8
0.499551
-0.548108
-0.087344
-0.087219
0.706943
1.177066
1.031727
0.499551
0.548108
0.579229
0.007607
0.098954
0.300415
0.220537
0.221187
0.554512
7,649
train
H1
H11
500
500
20
21.2
22.2
1.010763
-1.099755
-0.251041
-0.251364
3.775057
3.881388
3.959691
1.010763
1.099755
0.138091
0.063184
0.637747
1.20963
0.665294
0.666859
1.113806
7,649
train
H0
H11
1,000
1,000
20
19.9
21.5
-0.597448
0.552035
0.907208
0.908144
1.562486
4.674167
1.179648
-0.597448
0.907208
0.197271
0.824726
0.355867
0.304748
1.200604
1.180725
-0.560022
7,649
train
H1
H11
1,000
1,000
20
18.9
19.8
0.312419
-0.420344
0.761271
0.762183
6.290742
5.318421
6.703359
0.312419
0.761271
0.035025
0.580923
0.006005
0.176773
3.749714
3.667848
0.42693