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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143
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Q_test
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MAX_Value_test
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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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106
WLg_PetoPrentice_test
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WLg_Prentice_test
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0
71.6
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7,647
train
H0
H09
300
300
50
51.333333
47.333333
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7,647
train
H1
H09
300
300
50
47
49.666667
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7,647
train
H0
H09
500
500
50
51.2
50.4
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1.39849
1.409326
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5.902017
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7,647
train
H1
H09
500
500
50
51
47.2
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7,647
train
H0
H09
1,000
1,000
50
50.9
50.2
0.132926
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7,647
train
H1
H09
1,000
1,000
50
46.8
51.8
2.209661
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5.408214
5.9011
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0.017499
5.405871
4.912667
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3.570706
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7,647
train
H0
H11
20
20
0
0
0
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2.481353
2.735522
8.155698
9.773041
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7.483079
6.310032
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7,647
train
H1
H11
20
20
0
0
0
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1.276483
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0.203794
1.687526
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3.435549
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7,647
train
H0
H11
30
30
0
0
0
0.26612
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5.924635
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3.479756
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7,647
train
H1
H11
30
30
0
0
0
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1.595818
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7,647
train
H0
H11
50
50
0
0
0
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2.854803
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1.594949
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7,647
train
H1
H11
50
50
0
0
0
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0.004352
0.42116
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0.004031
0.003574
0.001184
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7,647
train
H0
H11
75
75
0
0
0
-1.573028
1.573028
1.960755
2.008705
4.684956
12.324908
4.273686
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1.960755
0.006349
4.034897
2.950977
2.480593
4.141281
3.938076
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7,647
train
H1
H11
75
75
0
0
0
-0.810006
0.810006
1.557454
1.576804
3.962382
3.76078
4.050793
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1.557454
0.131942
2.486311
1.350095
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4.142545
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7,647
train
H0
H11
100
100
0
0
0
0.671932
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0.741127
0.83026
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0.671932
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0.500554
0.719795
0.588675
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0.673618
7,647
train
H1
H11
100
100
0
0
0
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0.269205
0.267505
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1.502673
0.074751
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0.071559
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7,647
train
H0
H11
150
150
0
0
0
-1.478871
1.478871
0.958152
0.958613
3.38227
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2.642826
0.958613
1.478871
0.138516
0.91894
2.003506
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7,647
train
H1
H11
150
150
0
0
0
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2.355433
2.390928
6.497625
6.51491
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2.390928
2.355433
0.040416
5.716538
4.059299
2.927237
6.382974
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7,647
train
H0
H11
200
200
0
0
0
-1.139132
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0.891226
0.888925
1.455779
1.723862
1.339492
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1.139132
0.254053
0.790187
1.251035
1.297932
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7,647
train
H1
H11
200
200
0
0
0
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0.692821
1.615902
1.626246
3.654728
8.806917
4.890064
1.626246
1.615902
0.031971
2.644678
1.427748
0.480261
4.655208
5.026939
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7,647
train
H0
H11
300
300
0
0
0
1.660318
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3.922609
4.217486
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1.660318
1.660318
0.096572
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1.86666
2.759374
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1.661703
7,647
train
H1
H11
300
300
0
0
0
-0.799308
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1.976097
1.99711
8.419331
8.692022
7.940814
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1.976097
0.018866
3.988447
1.595124
0.638896
7.585751
7.453883
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7,647
train
H0
H11
500
500
0
0
0
-1.700157
1.700157
1.284334
1.283758
3.050196
3.052268
3.041053
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1.700157
0.088941
1.648035
2.554113
2.891765
0.264362
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7,647
train
H1
H11
500
500
0
0
0
0.854896
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0.355293
0.356118
2.922086
16.353381
5.713045
0.854896
0.854896
0.00096
0.12682
0.060797
0.731113
2.164404
2.330507
0.855324
7,647
train
H0
H11
1,000
1,000
0
0
0
-1.107474
1.107474
1.435944
1.435654
2.156128
2.202135
2.137259
1.435654
1.435944
0.267969
2.061103
1.578036
1.226474
1.940862
1.920814
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7,647
train
H1
H11
1,000
1,000
0
0
0
-0.040501
0.040501
0.649662
0.649351
0.977428
3.025758
1.521616
0.649351
0.649662
0.387671
0.421657
0.127119
0.00164
1.198683
1.260759
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7,647
train
H0
H11
20
20
10
15
20
-0.956992
0.992556
0.44043
0.436413
2.679058
4.64234
2.233847
-0.956992
0.992556
0.19994
0.190456
0.717543
0.984428
0.233093
0.092295
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7,647
train
H1
H11
20
20
10
0
0
-0.0541
0.0541
0.683658
0.683007
2.198588
2.308061
2.082906
-0.0541
0.683658
0.352941
0.466499
0.089697
0.002909
1.695434
1.561777
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7,647
train
H0
H11
30
30
10
10
16.666667
1.928886
-1.873963
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4.115127
5.344799
3.80969
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1.873963
0.055641
2.783744
3.536575
3.542444
0.866943
1.214773
1.913836
7,647
train
H1
H11
30
30
10
6.666667
13.333333
-1.266595
1.290542
0.704715
0.701353
2.744964
2.939506
2.755714
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1.290542
0.194393
0.491896
1.168643
1.675193
0.051139
0.04303
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7,647
train
H0
H11
50
50
10
6
16
-0.239907
0.285162
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1.095656
1.299984
1.552486
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0.336826
0.460131
0.11164
0.001107
0.081197
0.803202
0.807113
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7,647
train
H1
H11
50
50
10
8
16
1.565837
-1.589023
-1.204401
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2.157135
4.435624
2.699047
1.565837
1.589023
0.108091
1.417656
1.946359
2.531968
0.174235
0.131368
1.606831
7,647
train
H0
H11
75
75
10
8
8
0.297964
-0.301109
0.033531
0.033275
0.422596
1.049417
0.538786
0.297964
0.301109
0.763843
0.001107
0.020388
0.09043
0.199907
0.248615
0.297584
7,647
train
H1
H11
75
75
10
10.666667
10.666667
-0.292318
0.285199
0.393889
0.391931
0.160028
0.236187
0.171591
0.391931
0.393889
0.775578
0.15361
0.124308
0.081184
0.218509
0.225192
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7,647
train
H0
H11
100
100
10
8
14
-0.632841
0.667424
0.088979
0.088464
2.101416
2.755873
1.584759
-0.632841
0.667424
0.430816
0.007826
0.295223
0.44495
0.319325
0.233652
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7,647
train
H1
H11
100
100
10
11
9
-2.240006
2.20694
2.810932
2.912549
8.964421
12.828581
9.477624
-2.240006
2.810932
0.005022
8.482944
7.060101
4.919384
8.87275
9.106319
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7,647
train
H0
H11
150
150
10
8
11.333333
-0.007008
0.035261
-0.466039
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0.813831
1.126601
1.102051
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0.466039
0.576358
0.21517
0.047954
0.001243
0.719841
0.724067
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7,647
train
H1
H11
150
150
10
10
7.333333
1.418721
-1.426307
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2.04243
2.419798
2.13874
1.418721
1.426307
0.151218
1.240723
1.777965
2.037723
0.221886
0.221968
1.435241
7,647
train
H0
H11
200
200
10
11
7.5
-0.363231
0.31238
1.130539
1.130333
2.613988
4.286673
3.277897
1.130333
1.130539
0.194184
1.277652
0.483851
0.097551
2.937605
3.025273
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7,647
train
H1
H11
200
200
10
7
12
1.423142
-1.496483
0.036375
0.037093
13.036579
13.921653
12.239029
1.423142
1.496483
0.0022
0.001376
0.878037
2.24359
2.943602
2.823591
1.512888
7,647
train
H0
H11
300
300
10
14
11.333333
-1.372811
1.345102
1.598239
1.598673
2.627822
2.785333
2.578512
-1.372811
1.598239
0.174459
2.555754
2.045208
1.809217
2.177447
2.211704
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7,647
train
H1
H11
300
300
10
11.666667
9
-0.438171
0.37334
1.544189
1.5483
6.199946
7.13024
6.939746
1.5483
1.544189
0.031121
2.397233
0.813317
0.139441
5.941929
6.087437
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7,647
train
H0
H11
500
500
10
10.6
12.8
0.072623
-0.062293
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0.221404
1.676902
0.047628
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0.156284
0.642081
0.024363
0.000074
0.00388
0.041946
0.043191
0.062546
7,647
train
H1
H11
500
500
10
12
9.6
-0.212466
0.179706
0.748087
0.748095
0.826559
4.623005
1.60219
0.748095
0.748087
0.201577
0.559646
0.348433
0.032317
1.334157
1.369909
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7,647
train
H0
H11
1,000
1,000
10
9.1
9.3
-1.131744
1.125005
0.9991
0.999334
2.047726
6.696637
1.281132
0.999334
1.125005
0.082222
0.998669
1.623206
1.265701
0.333314
0.361922
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7,647
train
H1
H11
1,000
1,000
10
9.7
10.4
-0.607514
0.574377
1.333369
1.335024
3.106339
2.774713
3.458308
1.335024
1.333369
0.177434
1.782289
0.893357
0.330012
3.304295
3.266269
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