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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BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
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84.2
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99.4
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106
WLg_PetoPrentice_test
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WLg_Prentice_test
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7,643
train
H1
H17
300
300
10
15
10.333333
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1.195361
0.744011
0.742275
1.434602
3.186638
1.825744
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1.195361
0.22802
0.550972
1.002881
1.429017
0.004115
0.00079
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7,643
train
H0
H17
500
500
10
9.6
12.6
1.573024
-1.53578
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4.450944
4.842748
4.472815
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2.042369
0.106842
4.179355
3.097112
2.358962
4.086587
4.173433
1.55778
7,643
train
H1
H17
500
500
10
9
9.4
-3.495098
3.629761
0.750812
0.755551
35.478225
37.088536
39.760373
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3.629761
0
0.570858
6.404963
13.250834
8.078777
7.965246
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7,643
train
H0
H17
1,000
1,000
10
9
9.5
-0.053663
0.060837
0.185789
0.185636
0.359883
2.862201
0.09198
0.185636
0.185789
0.413363
0.034461
0.000054
0.003701
0.086607
0.069137
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7,643
train
H1
H17
1,000
1,000
10
10.5
11.1
-3.21038
3.352015
0.728864
0.730417
31.422757
32.568655
33.178779
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3.352015
0
0.533509
5.820644
11.254322
6.118114
6.119572
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7,643
train
H0
H17
20
20
20
20
10
-0.812738
0.80717
0.787145
0.773994
0.636487
1.251499
0.664101
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0.80717
0.395141
0.599067
0.624844
0.646465
0.427547
0.382659
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7,643
train
H1
H17
20
20
20
50
20
-1.845602
2.093015
1.223739
1.225999
6.424419
6.49915
6.313414
1.225999
2.093015
0.028691
1.503073
3.333127
4.430206
0.207874
0.095738
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7,643
train
H0
H17
30
30
20
16.666667
36.666667
0.715297
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0.844043
5.833215
0.953032
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0.900218
0.120013
0.807636
0.643218
0.344956
0.798331
1.041331
0.613424
7,643
train
H1
H17
30
30
20
16.666667
30
0.987387
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3.377752
4.701995
3.537942
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1.466087
0.170508
2.190109
1.460871
0.824092
3.2872
3.819392
0.980527
7,643
train
H0
H17
50
50
20
22
20
1.351451
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3.162546
5.474534
3.761475
1.351451
1.441064
0.14017
0.505109
1.249982
2.084796
0.111234
0.120468
1.469334
7,643
train
H1
H17
50
50
20
22
16
-2.390908
2.547747
1.132553
1.13666
12.828784
13.792984
13.421234
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2.547747
0.001218
1.291996
4.129657
6.578752
1.493644
1.437986
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7,643
train
H0
H17
75
75
20
18.666667
13.333333
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0.600012
0.538382
0.535357
0.321125
0.509441
0.35683
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0.600012
0.545459
0.286607
0.31319
0.359538
0.151556
0.147798
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7,643
train
H1
H17
75
75
20
12
21.333333
0.660223
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0.454305
1.095324
0.461779
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0.67012
0.515459
0.444492
0.46477
0.409873
0.207921
0.171778
0.650361
7,643
train
H0
H17
100
100
20
30
23
0.5097
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0.325008
1.653337
0.409984
0.5097
0.535662
0.58433
0.115747
0.180594
0.286809
0.003637
0.009405
0.547071
7,643
train
H1
H17
100
100
20
25
22
-3.334181
3.407482
2.620666
2.675597
12.831349
12.810938
12.771921
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3.407482
0.00052
7.15882
10.420915
11.792714
0.539198
0.621783
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7,643
train
H0
H17
150
150
20
20
20
1.780308
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-1.772767
3.268669
3.486304
3.308972
1.780308
1.764025
0.072021
3.142703
3.250859
3.122098
1.584847
1.575247
1.798983
7,643
train
H1
H17
150
150
20
20.666667
15.333333
-3.349572
3.468939
1.919045
1.925341
17.447839
21.838756
19.526787
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3.468939
0.000058
3.706937
8.220927
12.160286
0.508311
0.53236
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7,643
train
H0
H17
200
200
20
16
15
1.148567
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-0.943864
-0.943005
1.317646
1.757403
1.368686
1.148567
1.160781
0.238254
0.889259
1.230786
1.348624
0.184184
0.167159
1.179361
7,643
train
H1
H17
200
200
20
23
17
-1.068002
1.110139
0.660107
0.659826
1.636375
2.304631
1.792111
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1.110139
0.259723
0.435371
0.863441
1.231686
0.000534
0.002798
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7,643
train
H0
H17
300
300
20
21
17.333333
-0.231739
0.154793
0.520455
0.519376
0.501388
1.028644
0.584547
0.519376
0.520455
0.746564
0.269751
0.090634
0.02395
0.575717
0.602104
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7,643
train
H1
H17
300
300
20
18.666667
20.333333
-1.789748
1.98595
0.045668
0.045963
19.562813
19.404081
19.250948
-1.789748
1.98595
0.000066
0.002113
1.669654
3.952572
5.821921
5.759521
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7,643
train
H0
H17
500
500
20
23.4
18.2
-0.89872
0.87346
1.245652
1.247057
2.311074
6.912042
1.902985
-0.89872
1.245652
0.074755
1.555151
0.888948
0.76271
1.941199
1.819408
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7,643
train
H1
H17
500
500
20
19
20.6
-1.89223
2.131333
0.068842
0.068931
20.447265
20.124508
20.351223
-1.89223
2.131333
0.000038
0.004751
2.017872
4.547313
5.924584
5.711108
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7,643
train
H0
H17
1,000
1,000
20
18.7
21.9
-0.473596
0.583151
-0.264015
-0.263884
2.394062
4.116699
3.049125
-0.263884
0.583151
0.217716
0.069635
0.045076
0.340085
1.256241
1.27828
-0.593494
7,643
train
H1
H17
1,000
1,000
20
19.7
19.9
-3.239345
3.449518
1.417593
1.41742
24.16914
24.168779
24.628306
-3.239345
3.449518
0.000004
2.009078
7.667611
11.915255
2.028734
1.936399
-3.498901
7,643
train
H0
H17
20
20
30
30
50
0.250047
-0.064875
-0.491878
-0.480832
0.522764
4.590781
0.707358
-0.480832
0.491878
0.204334
0.231199
0.106892
0.004194
0.443298
0.669527
0.076439
7,643
train
H1
H17
20
20
30
25
35
-0.66895
0.796364
0.37097
0.373332
1.270078
1.639466
1.199874
0.373332
0.796364
0.41183
0.139377
0.407676
0.634603
0.02672
0.010704
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7,643
train
H0
H17
30
30
30
33.333333
33.333333
-0.472105
0.618365
-0.044732
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2.593087
2.955507
2.451228
-0.044483
0.618365
0.293577
0.001979
0.142254
0.380659
0.679507
0.568767
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7,643
train
H1
H17
30
30
30
23.333333
46.666667
2.351032
-2.256134
-2.37125
-2.434585
5.964315
7.367935
5.943241
-2.434585
2.37125
0.019729
5.927204
5.783055
5.143369
3.754967
3.965098
2.331465
7,643
train
H0
H17
50
50
30
32
28
-0.279007
0.18389
0.598687
0.59322
1.059742
1.457738
0.934744
0.59322
0.598687
0.626647
0.351911
0.090925
0.033703
0.982346
0.917772
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7,643
train
H1
H17
50
50
30
24
32
0.564616
-0.642943
-0.300418
-0.298194
0.694551
0.694757
0.680459
0.564616
0.642943
0.511001
0.08892
0.27753
0.412256
0.056666
0.040905
0.65728
7,643
train
H0
H17
75
75
30
30.666667
26.666667
0.242127
-0.296814
-0.056549
-0.05611
0.1779
0.933023
0.251072
0.242127
0.296814
0.759731
0.003148
0.036525
0.087928
0.092013
0.116973
0.305834
7,643
train
H1
H17
75
75
30
26.666667
45.333333
1.208361
-1.0683
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3.837287
3.999618
3.759413
-1.620946
1.62775
0.152635
2.627467
1.638819
1.140199
3.492751
3.446248
1.092715
7,643
train
H0
H17
100
100
30
36
27
-1.119562
0.990405
1.358116
1.358059
1.926939
3.364363
2.01097
1.358059
1.358116
0.30295
1.844324
1.462906
0.980293
1.935884
2.016663
-1.030128
7,643
train
H1
H17
100
100
30
33
36
-1.373698
1.556304
0.670914
0.673077
5.781972
5.689099
5.782097
0.673077
1.556304
0.055518
0.453033
1.537905
2.423598
0.539003
0.495847
-1.598363
7,643
train
H0
H17
150
150
30
32
34.666667
-0.435604
0.512701
0.2395
0.239029
0.292467
2.217006
0.426855
0.239029
0.512701
0.528606
0.057135
0.14073
0.262634
0.005635
0.017303
-0.527398
7,643
train
H1
H17
150
150
30
28
28.666667
-0.447039
0.538095
0.025459
0.025338
1.207463
1.330407
1.254286
0.025338
0.538095
0.534116
0.000642
0.125804
0.289243
0.298561
0.302553
-0.552896
7,643
train
H0
H17
200
200
30
26.5
31
0.673656
-0.637653
-0.790411
-0.78798
0.661525
0.787394
0.647461
0.673656
0.790411
0.513499
0.620913
0.479134
0.406381
0.495033
0.460503
0.6534
7,643
train
H1
H17
200
200
30
29
28
-2.298963
2.335819
1.867786
1.877403
5.833655
5.659616
5.858319
-2.298963
2.335819
0.016847
3.524641
4.872176
5.473115
0.523419
0.622306
-2.390027
7,643
train
H0
H17
300
300
30
31.333333
31.333333
-0.298917
0.463064
-0.352516
-0.352053
3.159748
3.357142
3.072356
-0.298917
0.463064
0.215202
0.123942
0.039774
0.214314
1.485813
1.485698
-0.473912
7,643
train
H1
H17
300
300
30
25.333333
34
-0.651057
0.894623
-0.279539
-0.279435
5.850999
7.373666
6.259645
-0.279435
0.894623
0.043726
0.078084
0.222511
0.800855
2.580546
2.649668
-0.917028
7,643
train
H0
H17
500
500
30
30
28.6
-1.927191
2.072433
1.428651
1.428711
4.081439
8.169018
4.684989
-1.927191
2.072433
0.033649
2.041215
3.272838
4.302809
0.094168
0.078477
-2.124252
7,643
train
H1
H17
500
500
30
28.8
31.4
-1.601031
1.737987
0.897677
0.89826
5.585585
5.768248
5.292278
-1.601031
1.737987
0.070925
0.80687
2.217762
3.023759
0.159335
0.132903
-1.781396
7,643
train
H0
H17
1,000
1,000
30
34.9
29.9
-3.088026
2.909911
3.441751
3.449281
12.031353
12.039981
12.048283
-3.088026
3.441751
0.00242
11.897539
10.239036
8.475141
9.78043
9.848524
-2.991765
7,643
train
H1
H17
1,000
1,000
30
31.1
30.2
-2.650802
2.909321
1.450329
1.450831
14.750682
14.531819
15.021993
-2.650802
2.909321
0.000547
2.104912
5.855527
8.46979
0.62412
0.608608
-2.978858