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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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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84.2
WLg_TaroneWare_test
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0
99.4
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0
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WLg_PetoPrentice_test
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WLg_Prentice_test
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0
71.6
WKM_test
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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
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
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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20
20
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25
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train
H1
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train
H0
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train
H1
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train
H0
H25
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train
H1
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train
H0
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train
H1
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train
H0
H25
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100
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train
H1
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train
H0
H25
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train
H1
H25
150
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train
H0
H25
200
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30
36
32
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train
H1
H25
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train
H0
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train
H1
H25
300
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train
H0
H25
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train
H1
H25
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train
H0
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train
H1
H25
1,000
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29.8
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train
H0
H25
20
20
40
40
40
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train
H1
H25
20
20
40
35
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train
H0
H25
30
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53.333333
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train
H1
H25
30
30
40
26.666667
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train
H0
H25
50
50
40
32
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train
H1
H25
50
50
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train
H0
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train
H1
H25
75
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train
H0
H25
100
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train
H1
H25
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40
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train
H0
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train
H1
H25
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train
H0
H25
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40
41.5
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train
H1
H25
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200
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train
H0
H25
300
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43
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train
H1
H25
300
300
40
41
42
-1.402015
1.715366
0.65583
0.655609
6.751004
6.944999
6.928638
0.655609
1.715366
0.031294
0.429823
1.803858
2.945457
0.822007
0.800158
-1.770958
3
train
H0
H25
500
500
40
38
35
0.798001
-0.949009
-0.332983
-0.332962
2.050535
2.21324
2.192041
0.798001
0.949009
0.324412
0.110864
0.503077
0.900739
0.252154
0.253909
0.985432
3
train
H1
H25
500
500
40
40.6
47.4
2.344779
-2.063672
-2.626688
-2.633139
7.029112
13.259792
7.245931
2.344779
2.626688
0.004107
6.933422
6.186982
4.260587
6.346045
6.637197
2.164643
3
train
H0
H25
1,000
1,000
40
40.2
39.3
-0.493697
0.553325
0.398115
0.397949
0.210233
2.803122
0.28812
0.397949
0.553325
0.422986
0.158364
0.18572
0.306338
0.025918
0.023112
-0.582183
3
train
H1
H25
1,000
1,000
40
36.9
42.4
2.146051
-1.828598
-2.646802
-2.648985
7.842783
12.086417
8.250545
-2.648985
2.646802
0.007093
7.017121
5.220547
3.343785
7.915737
8.075024
1.906576
3
train
H0
H25
20
20
50
55
35
-0.814149
0.622605
1.28631
1.27263
3.778785
4.123818
3.879394
-0.814149
1.28631
0.143748
1.619586
0.887103
0.40744
3.04831
3.364184
-0.733869
3
train
H1
H25
20
20
50
50
45
0.233672
-0.358658
-0.101362
-0.101252
0.391075
1.086196
0.35541
-0.101252
0.358658
0.724467
0.010252
0.068532
0.116636
0.10498
0.083371
0.352495
3
train
H0
H25
30
30
50
56.666667
60
0.850211
-0.820625
-0.837628
-0.846538
0.733315
3.267951
0.726595
-0.846538
0.837628
0.352128
0.716626
0.777864
0.67086
0.254495
0.294948
0.882154
3
train
H1
H25
30
30
50
63.333333
53.333333
-0.43088
0.732952
0.145787
0.145244
1.712805
9.954844
1.936825
0.145244
0.732952
0.018954
0.021096
0.15174
0.533864
0.359879
0.4668
-0.809611
3
train
H0
H25
50
50
50
50
50
0.126457
-0.335367
0.140043
0.13975
0.981623
2.084203
1.087312
0.126457
0.335367
0.555115
0.01953
0.014441
0.112437
0.598577
0.684568
0.34851
3
train
H1
H25
50
50
50
52
52
0.367494
-0.380123
-0.445935
-0.440176
0.236792
0.234353
0.24221
-0.440176
0.445935
0.691088
0.193755
0.184968
0.133798
0.109492
0.103674
0.397379
3
train
H0
H25
75
75
50
58.666667
61.333333
0.442307
-0.312783
-0.557221
-0.555509
0.507259
0.69444
0.492348
-0.555509
0.557221
0.736998
0.30859
0.161419
0.092433
0.354566
0.293044
0.335831
3
train
H1
H25
75
75
50
48
50.666667
-0.785304
0.932668
0.437848
0.439216
1.943044
1.886627
1.941676
0.439216
0.932668
0.326671
0.192911
0.565349
0.872118
0.113155
0.097722
-0.980841
3
train
H0
H25
100
100
50
44
48
0.770645
-0.773546
-0.6981
-0.697177
0.599041
0.993509
0.618526
-0.697177
0.773546
0.413196
0.486056
0.538714
0.59778
0.118445
0.099898
0.818282
3
train
H1
H25
100
100
50
50
42
-0.086538
0.134568
0.019475
0.01957
0.105519
1.633762
0.063891
0.01957
0.134568
0.651759
0.000383
0.025695
0.018919
0.003535
0.00041
-0.150404
3
train
H0
H25
150
150
50
47.333333
49.333333
-0.142977
0.393497
-0.168702
-0.168535
0.927316
2.257571
1.094785
-0.168535
0.393497
0.520698
0.028404
0.018159
0.154699
0.447809
0.450664
-0.416633
3
train
H1
H25
150
150
50
49.333333
54.666667
0.798306
-0.689141
-0.86489
-0.862698
0.748022
1.87958
0.760868
-0.862698
0.86489
0.458205
0.744248
0.680292
0.474319
0.510771
0.582645
0.741806
3
train
H0
H25
200
200
50
42.5
51.5
1.319685
-1.194393
-1.43067
-1.430231
2.05825
4.666279
2.087749
1.319685
1.43067
0.19793
2.04556
1.923768
1.424762
1.624001
1.668546
1.263542
3
train
H1
H25
200
200
50
51
50.5
0.204609
-0.056992
-0.376996
-0.377648
0.450993
1.014212
0.506732
-0.377648
0.376996
0.776184
0.142618
0.048174
0.003248
0.332318
0.343301
0.058506
3
train
H0
H25
300
300
50
53
54.666667
1.099191
-1.245547
-0.688196
-0.687785
3.592101
7.337107
3.196451
-0.687785
1.245547
0.061895
0.473048
1.331146
1.551033
0.10106
0.080618
1.330458
3
train
H1
H25
300
300
50
48.666667
46.333333
-0.490047
0.631394
0.27266
0.272415
0.565715
1.578093
0.679108
-0.490047
0.631394
0.506416
0.07421
0.224945
0.398966
0.030946
0.034334
-0.664429
3
train
H0
H25
500
500
50
46.4
50
2.18574
-2.35293
-1.858022
-1.860149
5.162342
7.401974
5.445277
-1.860149
2.35293
0.012098
3.460155
4.562667
5.53714
0.609332
0.623906
2.509268
3
train
H1
H25
500
500
50
50
52.6
0.340346
0.106964
-0.866237
-0.865927
3.623902
7.984864
4.123547
-0.865927
0.866237
0.046326
0.74983
0.121643
0.011469
2.999149
3.10327
-0.111044
3
train
H0
H25
1,000
1,000
50
47.8
50.7
1.377418
-1.236952
-1.559035
-1.558732
2.643288
2.924975
2.606393
-1.558732
1.559035
0.187617
2.429647
1.828314
1.529796
2.307354
2.248391
1.317661
3
train
H1
H25
1,000
1,000
50
48.7
51.5
1.492489
-1.179836
-1.804847
-1.806352
3.770287
14.619706
4.116197
-1.806352
1.804847
0.002172
3.262909
2.603081
1.39222
4.089088
4.083074
1.250045
3
train
H0
H26
20
20
0
0
0
-1.054953
1.054953
1.153074
1.14331
1.315027
1.331756
1.314428
-1.054953
1.153074
0.285343
1.307157
1.262538
1.111842
1.042682
1.099301
-1.068393
3
train
H1
H26
20
20
0
0
0
-0.297551
0.297551
1.13808
1.167843
4.99435
4.884752
4.937767
1.167843
1.13808
0.084679
1.363857
0.472125
0.088289
3.934694
3.777268
-0.301342
3
train
H0
H26
30
30
0
0
0
0.251335
-0.251335
-0.776453
-0.776301
1.802938
2.745158
1.561834
-0.776301
0.776453
0.432608
0.602643
0.196344
0.062751
1.16248
1.020409
0.253456
3
train
H1
H26
30
30
0
0
0
0.487886
-0.487886
-0.485754
-0.476737
0.240545
0.510659
0.247558
-0.476737
0.487886
0.622717
0.227278
0.245226
0.236803
0.074327
0.056604
0.492003
3
train
H0
H26
50
50
0
0
0
-0.006894
0.006894
-0.571025
-0.568684
1.612455
1.758862
1.473361
-0.006894
0.571025
0.4787
0.323402
0.042991
0.000047
0.991942
0.889623
-0.006929
3
train
H1
H26
50
50
0
0
0
0.537718
-0.537718
-0.667199
-0.666319
0.656331
5.201727
0.45608
0.537718
0.667199
0.157608
0.44398
0.24562
0.288403
0.352872
0.255817
0.540427
3
train
H0
H26
75
75
0
0
0
0.513066
-0.513066
-1.196055
-1.202704
2.859727
2.847347
2.792782
0.513066
1.196055
0.247488
1.446498
0.623715
0.262886
2.492615
2.424842
0.511342
3
train
H1
H26
75
75
0
0
0
-0.125917
0.125917
-0.169791
-0.170439
1.100397
7.932602
0.370788
-0.170439
0.169791
0.047425
0.029049
0.021654
0.015834
0.187107
0.112109
-0.125494
3
train
H0
H26
100
100
0
0
0
-0.349405
0.349405
0.685745
0.683459
0.576905
2.015806
0.725133
-0.349405
0.685745
0.569133
0.467116
0.284096
0.121918
0.762879
0.89225
-0.350281
3
train
H1
H26
100
100
0
0
0
-0.904054
0.904054
0.000959
0.000969
5.482291
11.150772
3.693311
-0.904054
0.904054
0.010938
0.000001
0.487797
0.818368
1.08929
0.923748
-0.906323
3
train
H0
H26
150
150
0
0
0
-0.954411
0.954411
1.30327
1.305378
1.953501
2.137455
1.850391
1.305378
1.30327
0.33907
1.704013
1.154951
0.9104
1.801388
1.745533
-0.956005
3
train
H1
H26
150
150
0
0
0
1.213978
-1.213978
-1.225075
-1.227903
1.521594
5.687674
1.590918
1.213978
1.225075
0.127835
1.507747
1.294281
1.473809
0.800168
0.71404
1.216007
3
train
H0
H26
200
200
0
0
0
-0.146176
0.146176
0.900139
0.901094
2.67728
2.683963
2.529832
0.901094
0.900139
0.282263
0.811971
0.181919
0.021349
2.129817
2.053586
-0.146359
3
train
H1
H26
200
200
0
0
0
-0.632275
0.632275
0.650006
0.651337
0.929704
8.305229
0.441499
0.651337
0.650006
0.040107
0.42424
0.692626
0.39988
0.230513
0.314266
-0.633067
3
train
H0
H26
300
300
0
0
0
0.105036
-0.105036
-0.476179
-0.475254
0.784594
0.989339
0.612432
0.105036
0.476179
0.736228
0.225866
0.043736
0.011025
0.49205
0.462246
0.105123
3
train
H1
H26
300
300
0
0
0
-0.288259
0.288259
-0.190452
-0.190973
2.129513
4.512387
0.897698
-0.190973
0.288259
0.211188
0.036471
0.083425
0.083108
0.433721
0.380745
-0.2885
3
train
H0
H26
500
500
0
0
0
-1.409352
1.409352
1.218641
1.217691
2.283395
2.593301
1.987174
-1.409352
1.409352
0.158523
1.482771
2.126513
1.987082
0.465186
0.460462
-1.410058
3
train
H1
H26
500
500
0
0
0
-0.743217
0.743217
-0.153687
-0.154866
6.852076
18.624095
3.297228
-0.743217
0.743217
0.000327
0.023983
0.448179
0.5528
1.236302
1.142018
-0.743589
3
train
H0
H26
1,000
1,000
0
0
0
-2.161824
2.161824
1.665384
1.665472
4.094235
6.973734
4.852685
-2.161824
2.161824
0.03059
2.773796
3.943405
4.67622
0.486868
0.461583
-2.162364
3
train
H1
H26
1,000
1,000
0
0
0
1.731333
-1.731333
-2.856058
-2.887401
14.888428
26.947641
11.069474
1.731333
2.856058
0.000006
8.337082
3.792972
2.998738
11.157621
11.01719
1.731766