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
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20
1k
n2
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1k
perc
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143
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0
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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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106
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0
71.9
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0
71.6
WKM_test
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28.666667
30
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0.016575
3.462044
4.665328
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8
train
H0
H04
500
500
30
30.4
32.6
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0.771789
0.944208
0.946244
1.094681
4.521241
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0.210403
0.895378
0.644703
0.595831
0.933062
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8
train
H1
H04
500
500
30
31.2
30.8
-2.653553
2.686299
2.247394
2.257481
7.601355
7.613017
7.52003
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2.686299
0.005941
5.096219
6.712144
7.229273
1.072239
1.162436
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8
train
H0
H04
1,000
1,000
30
28.6
30.3
0.736002
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0.480475
0.974186
0.54212
0.736002
0.752357
0.441157
0.459055
0.440852
0.566016
0.169777
0.170293
0.770241
8
train
H1
H04
1,000
1,000
30
30
28.8
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3.768958
3.123908
3.135823
14.648954
14.662771
14.592097
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3.768958
0.000121
9.833386
13.203375
14.230887
2.005964
2.039905
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8
train
H0
H04
20
20
40
55
15
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0.280709
0.288252
0.308194
0.111874
1.851009
0.124561
0.308194
0.288252
0.603898
0.094983
0.074601
0.079102
0.09008
0.077089
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8
train
H1
H04
20
20
40
50
40
-0.380141
0.732598
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4.920169
5.32818
5.02574
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0.732598
0.081035
0.01929
0.13061
0.537188
1.726993
1.625595
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8
train
H0
H04
30
30
40
36.666667
33.333333
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0.467821
0.608805
0.601403
0.430573
2.788742
0.391731
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0.608805
0.425357
0.361686
0.218702
0.217798
0.494486
0.380429
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8
train
H1
H04
30
30
40
43.333333
23.333333
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1.942449
1.551404
1.548322
4.057082
5.383492
4.215623
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1.942449
0.045331
2.397301
3.141154
3.77804
0.350424
0.336792
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8
train
H0
H04
50
50
40
46
42
-1.289434
1.401225
1.033775
1.034028
2.205852
2.326141
2.230415
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1.401225
0.148
1.069214
1.652268
1.970933
0.091426
0.095853
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8
train
H1
H04
50
50
40
44
42
-1.260889
1.480012
0.749408
0.752126
4.739816
7.059099
4.31335
0.752126
1.480012
0.070038
0.565694
1.722416
2.196479
0.410793
0.205191
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8
train
H0
H04
75
75
40
41.333333
37.333333
0.306183
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0.180877
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0.331588
0.736929
0.048507
0.095102
0.109837
0.005964
0.004179
0.335923
8
train
H1
H04
75
75
40
34.666667
45.333333
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0.318249
0.133448
0.135092
0.259148
1.123848
0.303189
0.135092
0.318249
0.744294
0.01825
0.049316
0.101234
0.008015
0.016161
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8
train
H0
H04
100
100
40
36
36
0.92019
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1.311259
1.27423
1.304091
0.92019
0.982557
0.314471
0.447967
0.788303
0.965399
0.000742
0.002548
1.005886
8
train
H1
H04
100
100
40
45
35
-1.595666
1.492152
1.710529
1.70833
2.925031
2.955708
2.929243
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1.710529
0.123482
2.91839
2.66886
2.227335
2.359935
2.315094
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8
train
H0
H04
150
150
40
34.666667
40.666667
0.820229
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1.362905
2.912629
1.542203
0.820229
1.003026
0.301977
0.231601
0.641352
1.005271
0.042889
0.055423
1.032204
8
train
H1
H04
150
150
40
40.666667
34.666667
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1.067494
1.336469
1.33657
1.906
2.099818
1.881824
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1.336469
0.270421
1.786419
1.389643
1.139893
1.82101
1.8028
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8
train
H0
H04
200
200
40
41
39
-0.317886
0.550067
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1.67123
2.371132
1.934193
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0.550067
0.380185
0.01822
0.054752
0.302431
0.713644
0.672602
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8
train
H1
H04
200
200
40
34.5
40.5
-0.721371
0.786857
0.490304
0.491174
0.726318
1.56267
0.859841
0.491174
0.786857
0.416577
0.241252
0.439853
0.619548
0.000176
0.00103
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8
train
H0
H04
300
300
40
45.666667
41.333333
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0.764829
0.424365
0.424916
0.528142
2.632451
0.676272
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0.764829
0.427192
0.180553
0.354269
0.585063
0.000035
0.001279
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8
train
H1
H04
300
300
40
45.333333
37.333333
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2.625893
2.015932
2.0145
7.630843
8.367779
7.837256
2.0145
2.625893
0.006961
4.05821
5.777432
6.903595
0.352701
0.31541
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8
train
H0
H04
500
500
40
38.4
42
-0.026297
0.118598
-0.156786
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0.381223
0.406809
0.369997
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0.156786
0.831106
0.02458
0.000418
0.014066
0.1778
0.181727
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8
train
H1
H04
500
500
40
38.4
40.8
-1.302718
1.344769
0.966476
0.967401
2.500068
2.566554
2.403442
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1.344769
0.165812
0.935864
1.58078
1.810567
0.019094
0.018214
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8
train
H0
H04
1,000
1,000
40
40
40.6
0.677055
-0.669097
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0.477457
1.745682
0.481419
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0.690856
0.489323
0.476903
0.416501
0.447648
0.269281
0.258356
0.691386
8
train
H1
H04
1,000
1,000
40
41.9
38.5
-3.641874
3.494121
3.657248
3.67728
13.714141
13.867481
13.741649
-3.641874
3.657248
0.000326
13.522391
13.182857
12.228217
7.918525
7.892205
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8
train
H0
H04
20
20
50
60
50
-0.588812
0.555003
0.536349
0.525265
0.385405
1.17205
0.400308
0.525265
0.555003
0.554335
0.275903
0.230153
0.305985
0.168791
0.079655
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8
train
H1
H04
20
20
50
30
45
1.516558
-1.481806
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2.281775
3.366157
2.336873
-1.467979
1.483174
0.113411
2.154961
2.181113
2.229124
0.782596
0.73317
1.583047
8
train
H0
H04
30
30
50
46.666667
53.333333
-0.379406
0.611394
-0.040875
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3.0353
4.458045
2.867769
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0.611394
0.216063
0.001638
0.164222
0.373009
1.035085
0.881584
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8
train
H1
H04
30
30
50
53.333333
40
-1.302165
1.387784
1.118302
1.104373
1.920542
3.894669
2.027962
1.104373
1.387784
0.146225
1.219641
1.533728
1.928015
0.215363
0.127171
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8
train
H0
H04
50
50
50
40
44
0.679555
-0.592774
-0.703382
-0.698399
0.526992
3.601126
0.489213
0.679555
0.703382
0.307881
0.487761
0.569938
0.350879
0.238368
0.352477
0.616689
8
train
H1
H04
50
50
50
60
48
-1.401628
1.285597
1.484092
1.502562
2.338778
2.875929
2.352941
-1.401628
1.484092
0.181527
2.257692
2.011506
1.649973
2.479129
2.576094
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8
train
H0
H04
75
75
50
53.333333
38.666667
-2.694472
2.925891
2.164335
2.162669
9.82484
9.843751
9.875673
2.162669
2.925891
0.002496
4.677138
7.27929
8.618518
0.11463
0.193794
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8
train
H1
H04
75
75
50
50.666667
52
-1.160424
1.160964
1.152044
1.172787
1.37777
3.10079
1.387546
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1.160964
0.230351
1.375428
1.314832
1.350577
1.031221
0.948604
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8
train
H0
H04
100
100
50
49
52
1.149829
-1.432818
-0.721396
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3.734654
4.17769
3.812187
1.149829
1.432818
0.135351
0.518614
1.309832
2.054078
0.126263
0.129287
1.493331
8
train
H1
H04
100
100
50
51
46
-1.083563
1.131269
0.929408
0.9258
1.34369
1.459959
1.371914
0.9258
1.131269
0.239232
0.857107
1.133527
1.280382
0.198734
0.209432
-1.176909
8
train
H0
H04
150
150
50
50.666667
56
1.07972
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2.208455
2.333816
2.178486
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1.288803
0.332342
1.659502
1.18274
0.876
1.967743
1.891728
0.969407
8
train
H1
H04
150
150
50
51.333333
43.333333
-2.608365
2.465486
2.687703
2.730315
7.462579
7.551597
7.458753
-2.608365
2.687703
0.009893
7.454619
6.717619
6.108106
5.522756
5.623849
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8
train
H0
H04
200
200
50
50
43
-0.129745
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0.642998
0.64155
3.301963
6.208978
3.640183
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0.642998
0.101874
0.411586
0.035725
0.034647
2.10937
2.412367
0.189052
8
train
H1
H04
200
200
50
45
53.5
-0.014062
0.38714
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5.930748
6.242989
5.780059
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0.588469
0.055575
0.345766
0.002148
0.149871
3.186036
2.959785
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8
train
H0
H04
300
300
50
47.666667
50.333333
0.27433
-0.235704
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0.090553
1.820304
0.094982
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0.301301
0.610527
0.090511
0.103059
0.055532
0.060825
0.083323
0.244683
8
train
H1
H04
300
300
50
50.666667
52
-1.198289
1.26612
1.054682
1.059417
1.559084
3.074037
1.643517
1.059417
1.26612
0.186041
1.122364
1.36704
1.606676
0.268853
0.260598
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8
train
H0
H04
500
500
50
49.8
48.2
0.361144
-0.573233
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1.42755
1.726251
1.466284
0.361144
0.573233
0.480397
0.001847
0.148793
0.328518
0.387339
0.412873
0.5967
8
train
H1
H04
500
500
50
48.4
51
-1.94762
2.093237
1.575689
1.590916
5.239377
5.287308
5.306505
-1.94762
2.093237
0.02962
2.531013
3.693481
4.391699
0.150464
0.168861
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8
train
H0
H04
1,000
1,000
50
50.7
48.7
0.010925
-0.098758
0.2149
0.214921
0.974198
4.500279
0.75283
0.214921
0.2149
0.212265
0.046191
0.007134
0.009752
0.413964
0.414942
0.102173
8
train
H1
H04
1,000
1,000
50
54.4
52
-2.172161
2.09051
2.197857
2.200699
4.85345
6.016609
4.867246
2.200699
2.197857
0.028986
4.843075
4.57643
4.37296
3.107581
3.010445
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