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
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n1
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1k
n2
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MIN3_test
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0
1
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84.2
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0
99.4
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0
106
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float64
0
71.9
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float64
0
71.6
WKM_test
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8
train
H0
H03
500
500
40
44
34.4
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2.595668
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6.645034
8.392213
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4.396702
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8
train
H1
H03
500
500
40
41.4
41.2
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2.708624
1.469435
1.471326
12.39704
21.682371
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2.708624
0.000076
2.164799
4.528016
7.354979
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8
train
H0
H03
1,000
1,000
40
39.4
36.9
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1.357714
1.267324
1.267455
2.029135
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1.909754
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1.357714
0.157392
1.606443
1.980069
1.843382
0.586244
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8
train
H1
H03
1,000
1,000
40
39.3
40
-3.006446
3.423578
1.809059
1.812716
17.67175
31.889061
20.538833
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3.423578
0.000001
3.285938
7.093455
11.747247
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8
train
H0
H03
20
20
50
45
60
0.041795
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1.789473
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0.072291
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8
train
H1
H03
20
20
50
45
55
0.347039
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0.30746
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0.241136
8
train
H0
H03
30
30
50
53.333333
43.333333
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0.195322
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0.706462
1.590702
2.201227
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0.706462
0.701999
0.436562
0.499088
0.18295
0.038106
1.658493
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8
train
H1
H03
30
30
50
36.666667
40
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0.283365
0.706538
1.69078
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0.283365
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0.511808
0.080296
0.234902
0.400727
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8
train
H0
H03
50
50
50
54
48
0.251079
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0.126459
8
train
H1
H03
50
50
50
56
54
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1.360385
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5.495723
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0.361454
1.360385
0.023269
0.130649
0.848899
1.851959
1.274059
1.353866
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8
train
H0
H03
75
75
50
46.666667
56
0.182171
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0.001304
0.377218
3.276946
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0.382592
0.350864
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0.028961
0.146685
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0.423372
8
train
H1
H03
75
75
50
53.333333
48
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1.425662
1.02826
1.027189
2.337676
3.273015
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1.425662
0.140058
1.055117
1.584739
2.035799
0.053375
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8
train
H0
H03
100
100
50
45
41
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0.591081
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0.736614
0.738435
0.538311
0.5426
0.426199
0.343401
0.674797
0.648536
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8
train
H1
H03
100
100
50
50
55
-0.80085
1.069392
0.36712
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3.476789
5.025117
3.707431
0.36885
1.069392
0.156654
0.136051
0.596548
1.147303
0.604559
0.598404
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8
train
H0
H03
150
150
50
58
56.666667
0.652419
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1.426658
5.059576
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0.784093
0.167486
0.188672
0.557523
0.614968
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0.018541
0.823128
8
train
H1
H03
150
150
50
47.333333
42.666667
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3.329039
2.572805
2.611856
10.969068
15.632436
11.635008
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3.329039
0.000523
6.821791
9.233482
11.179991
0.61486
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8
train
H0
H03
200
200
50
54
52.5
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0.14619
0.185305
0.185037
0.040908
0.361096
0.037041
0.185037
0.185305
0.871533
0.034239
0.021081
0.022059
0.053786
0.046968
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8
train
H1
H03
200
200
50
56.5
47
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3.356277
2.260734
2.261468
12.158696
20.796992
13.000793
2.261468
3.356277
0.000116
5.114236
8.42476
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0.0122
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8
train
H0
H03
300
300
50
51.333333
48.333333
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1.275119
0.705398
0.70582
2.607756
3.111911
2.705528
0.70582
1.275119
0.179601
0.498181
1.122085
1.627158
0.047188
0.049187
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8
train
H1
H03
300
300
50
46.666667
48.333333
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1.402985
0.825249
0.827074
2.847217
13.656996
3.470254
0.827074
1.402985
0.003411
0.684052
1.127652
1.971039
0.050783
0.071081
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8
train
H0
H03
500
500
50
47.6
50.8
0.710223
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0.519511
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0.505466
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0.693939
0.480839
0.480858
0.516657
0.444108
0.230114
0.204302
0.704954
8
train
H1
H03
500
500
50
49.6
50.4
-2.417796
3.114447
1.273332
1.274693
19.673039
30.699003
21.877703
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3.114447
0.000001
1.624842
5.328028
9.740896
2.718346
2.738076
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8
train
H0
H03
1,000
1,000
50
50
50.9
0.39237
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0.096923
0.096969
2.572967
6.729486
3.065031
0.096969
0.772365
0.081038
0.009403
0.128498
0.596236
1.110625
1.093341
0.819283
8
train
H1
H03
1,000
1,000
50
49.6
49.7
-4.510541
5.463026
2.893452
2.907582
46.890782
63.992079
50.389671
2.907582
5.463026
0
8.454034
19.286908
29.981292
2.424499
2.402345
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8
train
H0
H04
20
20
0
0
0
1.054953
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1.600696
1.708056
1.619668
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1.265038
0.285343
1.597085
1.440641
1.114082
1.167855
1.240975
1.068393
8
train
H1
H04
20
20
0
0
0
-1.325454
1.325454
1.342743
1.359153
1.848603
7.039615
1.89971
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1.342743
0.070646
1.847296
1.669559
1.761232
1.216571
1.054268
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8
train
H0
H04
30
30
0
0
0
1.641071
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4.70913
4.776969
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1.641071
1.641071
0.094749
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1.840528
2.717318
0.081211
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1.65492
8
train
H1
H04
30
30
0
0
0
0.325257
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0.591782
0.845623
0.452687
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0.325257
0.74291
0.00002
0.055425
0.105172
0.16287
0.114282
0.328002
8
train
H0
H04
50
50
0
0
0
-0.075832
0.075832
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0.282338
1.567609
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0.114485
0.666756
0.012878
0.001983
0.005728
0.053774
0.022453
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8
train
H1
H04
50
50
0
0
0
-0.082726
0.082726
0.502221
0.498028
0.860077
0.868617
0.795174
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0.502221
0.67194
0.248032
0.055267
0.006817
0.750594
0.706632
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8
train
H0
H04
75
75
0
0
0
2.095491
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7.576153
7.389766
7.462874
2.095491
2.095491
0.023958
0.982441
3.040645
4.425343
0.097923
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2.088447
8
train
H1
H04
75
75
0
0
0
-0.077054
0.077054
0.303788
0.30317
0.092192
5.113118
0.245724
0.30317
0.303788
0.163699
0.091912
0.071163
0.005924
0.230724
0.346505
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8
train
H0
H04
100
100
0
0
0
0.904054
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0.38206
0.388117
9.167373
12.631212
7.474951
0.904054
0.904054
0.005506
0.150635
0.23649
0.817496
2.634121
2.427874
0.906323
8
train
H1
H04
100
100
0
0
0
0.740347
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2.081485
4.875881
2.579046
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1.323198
0.181115
1.777419
1.202238
0.549616
2.593861
2.887685
0.742205
8
train
H0
H04
150
150
0
0
0
0.817306
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0.628007
0.572263
0.720114
0.817306
0.817306
0.412974
0.357591
0.522659
0.667534
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0.818671
8
train
H1
H04
150
150
0
0
0
0.101165
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0.026055
0.244447
0.01841
0.101165
0.133407
0.919285
0.017592
0.010902
0.010221
0.010013
0.005109
0.101334
8
train
H0
H04
200
200
0
0
0
1.556036
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3.799144
4.247179
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1.556036
1.556036
0.119237
0.848518
2.016291
2.423333
0.003546
0.012965
1.557985
8
train
H1
H04
200
200
0
0
0
-3.828246
3.828246
2.936372
2.959662
13.936673
14.880877
15.445748
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3.828246
0.000127
8.759598
12.547893
14.814368
1.151199
1.167871
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8
train
H0
H04
300
300
0
0
0
-0.209129
0.209129
0.658179
0.657028
0.692471
2.276494
0.96424
0.657028
0.658179
0.517039
0.431685
0.187528
0.043708
0.903621
0.982631
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8
train
H1
H04
300
300
0
0
0
-1.227929
1.227929
1.375983
1.376527
1.904888
2.886884
1.898707
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1.375983
0.219089
1.894826
1.658566
1.508041
1.38108
1.324926
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8
train
H0
H04
500
500
0
0
0
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0.077738
0.237038
0.236625
0.12652
0.170508
0.121665
0.236625
0.237038
0.938006
0.055992
0.015361
0.006041
0.121012
0.11528
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8
train
H1
H04
500
500
0
0
0
-2.205781
2.205781
1.150446
1.150169
5.382946
10.505907
7.242487
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2.205781
0.014721
1.322889
3.156348
4.871458
0.06922
0.088104
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8
train
H0
H04
1,000
1,000
0
0
0
1.577382
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4.186445
3.80295
5.716165
1.577382
1.577382
0.057379
0.222101
1.221196
2.489183
0.549933
0.531061
1.577776
8
train
H1
H04
1,000
1,000
0
0
0
-1.225028
1.225028
0.247467
0.247537
3.965773
3.447634
4.191917
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0.122952
0.061274
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1.501027
0.659949
0.627379
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