Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
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2 values
Hi
stringclasses
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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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99.4
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106
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0
71.9
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0
71.6
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train
H1
H13
300
300
40
41
37.333333
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1.792645
0.788661
0.789599
6.909659
7.674394
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0.027949
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2.032947
3.216025
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1
train
H0
H13
500
500
40
39.4
37.2
0.025243
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0.789163
0.789599
6.607025
6.936639
6.760594
0.789599
0.789163
0.034037
0.623467
0.005021
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3.9462
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1
train
H1
H13
500
500
40
41.8
38.2
-1.363476
1.81344
0.23145
0.232974
15.036924
15.089572
14.813909
0.232974
1.81344
0.000607
0.054277
1.592108
3.2913
4.010287
3.953072
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1
train
H0
H13
1,000
1,000
40
39.2
41.8
0.388261
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0.684315
0.672696
0.705731
0.388261
0.49193
0.61118
0.020417
0.12837
0.241974
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1
train
H1
H13
1,000
1,000
40
38.3
37.5
0.407147
-0.098576
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5.840289
7.234921
6.187171
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1.161628
0.045339
1.355901
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0.00972
4.685317
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1
train
H0
H13
20
20
50
50
65
0.913667
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0.823648
0.829834
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0.941257
0.319498
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1
train
H1
H13
20
20
50
60
50
-1.474667
1.614712
1.248298
1.257045
2.893784
2.930214
2.903093
1.257045
1.614712
0.083352
1.580161
2.302098
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0.111573
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1
train
H0
H13
30
30
50
43.333333
46.666667
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0.422242
0.573629
0.581887
0.429687
0.91172
0.445384
0.581887
0.573629
0.657447
0.338592
0.272602
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0.67849
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1
train
H1
H13
30
30
50
50
43.333333
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0.579965
0.581104
0.354481
0.356279
0.354047
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0.579965
0.570983
0.337682
0.325846
0.29025
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1
train
H0
H13
50
50
50
52
44
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0.473804
0.614753
0.611343
0.48439
0.529297
0.479096
0.611343
0.614753
0.616795
0.37374
0.285385
0.22372
0.671064
0.668679
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1
train
H1
H13
50
50
50
54
44
-0.679066
0.57438
0.789032
0.781383
0.687528
1.917308
0.720985
0.781383
0.789032
0.546403
0.610559
0.512543
0.329125
0.908635
1.210929
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1
train
H0
H13
75
75
50
41.333333
53.333333
1.526781
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2.82652
3.42699
2.802526
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1.66156
0.137193
2.742455
2.314275
2.043511
2.036814
1.922715
1.486326
1
train
H1
H13
75
75
50
45.333333
54.666667
0.878402
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0.825186
0.830538
0.825239
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0.910725
0.37801
0.825171
0.787653
0.722811
0.394917
0.399221
0.88157
1
train
H0
H13
100
100
50
47
54
0.393707
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0.191167
0.263209
0.188674
0.393707
0.426773
0.697657
0.18122
0.15492
0.141264
0.09429
0.099078
0.388486
1
train
H1
H13
100
100
50
48
48
-1.283503
1.574056
0.748845
0.748259
4.815114
5.231909
4.967071
0.748259
1.574056
0.083448
0.559892
1.547875
2.48547
0.313539
0.286394
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1
train
H0
H13
150
150
50
40.666667
50
1.208849
-1.241969
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1.488589
2.205915
1.500478
1.208849
1.241969
0.192828
1.47182
1.61122
1.541636
0.826717
0.714144
1.302259
1
train
H1
H13
150
150
50
45.333333
49.333333
-0.10712
0.216872
0.142494
0.142866
0.114125
8.987585
0.032206
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0.216872
0.029456
0.020411
0.001023
0.047074
0.019864
0.008525
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1
train
H0
H13
200
200
50
52
54.5
0.687688
-0.358092
-1.101708
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3.905209
4.353781
3.79708
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1.101708
0.149787
1.222502
0.398214
0.128192
3.14706
3.079385
0.372017
1
train
H1
H13
200
200
50
51
49
-0.402903
0.56655
0.197477
0.197458
0.717168
1.914247
0.804042
0.197458
0.56655
0.558388
0.03899
0.15763
0.320861
0.069456
0.085116
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1
train
H0
H13
300
300
50
56
53.333333
-0.663666
0.678923
0.621297
0.620261
0.427603
2.046427
0.455463
0.620261
0.678923
0.480378
0.384723
0.386684
0.461144
0.173151
0.139889
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1
train
H1
H13
300
300
50
51
50.666667
-0.020965
0.269791
-0.28011
-0.279901
0.986745
8.592055
1.350815
-0.279901
0.28011
0.035236
0.078345
0.003816
0.072795
0.705652
0.79605
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1
train
H0
H13
500
500
50
47.6
47.8
0.59986
-0.74696
-0.335659
-0.33543
1.107531
1.507724
1.18739
0.59986
0.74696
0.440132
0.112513
0.339021
0.557863
0.105656
0.104692
0.77197
1
train
H1
H13
500
500
50
46.8
45.4
-0.466786
0.791568
-0.171021
-0.171296
5.190476
5.615785
5.379422
-0.171296
0.791568
0.067901
0.029342
0.177822
0.626705
1.989028
1.960984
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1
train
H0
H13
1,000
1,000
50
49.1
49.3
0.01618
-0.322726
0.585265
0.585837
5.410531
5.787936
5.215644
0.585837
0.585265
0.073695
0.343205
0.000025
0.10412
2.906135
2.767387
0.335134
1
train
H1
H13
1,000
1,000
50
50.6
47.3
-1.982437
2.50435
1.143325
1.144548
10.901479
17.232184
12.030717
-1.982437
2.50435
0.000633
1.309991
3.87793
6.274681
0.931525
0.961667
-2.600363
1
train
H0
H14
20
20
0
0
0
1.054953
-1.054953
-1.429377
-1.457495
2.525269
2.54652
2.511627
-1.457495
1.429377
0.284844
2.124291
1.537057
1.111233
2.19616
2.164837
1.068393
1
train
H1
H14
20
20
0
0
0
1.000853
-1.000853
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0.940939
1.935705
1.068614
1.000853
1.000853
0.310772
0.58143
0.829774
1.003298
0.069163
0.051663
1.013604
1
train
H0
H14
30
30
0
0
0
0.221766
-0.221766
0.257812
0.253917
0.958819
0.927448
0.949215
0.253917
0.257812
0.622129
0.064474
0.00155
0.048881
0.596457
0.542934
0.223638
1
train
H1
H14
30
30
0
0
0
-0.960988
0.960988
1.207217
1.214715
1.607177
2.822908
1.549978
-0.960988
1.207217
0.332497
1.475533
1.151513
0.922288
1.552311
1.445477
-0.969097
1
train
H0
H14
50
50
0
0
0
-0.14477
0.14477
-0.29791
-0.29845
1.48875
4.839768
0.85844
-0.29845
0.29791
0.183913
0.089072
0.003782
0.020888
0.474332
0.350699
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1
train
H1
H14
50
50
0
0
0
-0.654913
0.654913
1.051558
1.05372
1.643511
2.011518
1.461184
1.05372
1.051558
0.481624
1.110326
0.613793
0.427816
1.590448
1.500707
-0.658212
1
train
H0
H14
75
75
0
0
0
0.377752
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0.019532
0.019352
0.678142
0.665016
0.647921
0.019352
0.377752
0.706558
0.000375
0.059549
0.14235
0.212409
0.182149
0.376482
1
train
H1
H14
75
75
0
0
0
0.302578
-0.302578
-0.537996
-0.535966
0.339911
1.822702
0.406268
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0.537996
0.610007
0.287259
0.172861
0.091334
0.3583
0.44934
0.301561
1
train
H0
H14
100
100
0
0
0
0.852743
-0.852743
-1.510594
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3.138465
3.102771
3.313853
-1.518896
1.510594
0.190724
2.307045
1.358443
0.726979
3.171037
3.145397
0.854883
1
train
H1
H14
100
100
0
0
0
0.623064
-0.623064
0.335682
0.336963
4.461721
5.251426
3.839825
0.623064
0.623064
0.14662
0.113544
0.088415
0.387764
1.597421
1.455084
0.624628
1
train
H0
H14
150
150
0
0
0
1.220634
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1.978874
1.989997
1.977952
1.220634
1.407924
0.221453
1.977902
1.819709
1.490878
1.439383
1.438773
1.222673
1
train
H1
H14
150
150
0
0
0
1.572049
-1.572049
-0.426903
-0.426538
4.854209
8.236244
6.180073
1.572049
1.572049
0.041373
0.181935
1.245218
2.476198
0.656082
0.72319
1.574675
1
train
H0
H14
200
200
0
0
0
-0.727419
0.727419
0.677561
0.674772
0.556206
0.611671
0.536428
-0.727419
0.727419
0.466412
0.455317
0.552617
0.528792
0.21538
0.206306
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1
train
H1
H14
200
200
0
0
0
-0.804399
0.804399
1.909159
1.927756
5.749742
7.307691
7.055746
1.927756
1.909159
0.029367
3.716242
1.869264
0.647637
6.62396
6.695337
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1
train
H0
H14
300
300
0
0
0
-0.654707
0.654707
1.128659
1.129889
1.969183
2.204446
1.724431
-0.654707
1.128659
0.422226
1.276649
0.635763
0.428487
1.764362
1.712612
-0.655253
1
train
H1
H14
300
300
0
0
0
-0.87938
0.87938
1.143505
1.142342
1.349437
1.471904
1.357058
-0.87938
1.143505
0.378798
1.304946
1.057347
0.773286
1.257612
1.230339
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1
train
H0
H14
500
500
0
0
0
-0.077957
0.077957
0.539886
0.540111
1.550336
2.598738
0.918259
-0.077957
0.539886
0.457711
0.29172
0.023232
0.006075
0.768438
0.72397
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1
train
H1
H14
500
500
0
0
0
-0.095475
0.095475
1.101526
1.104254
4.514641
4.666035
4.315922
-0.095475
1.101526
0.115561
1.219377
0.224354
0.009115
3.409803
3.31287
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1
train
H0
H14
1,000
1,000
0
0
0
0.130409
-0.130409
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1.797294
2.209686
1.34846
-0.686506
0.686276
0.509549
0.471291
0.078259
0.017004
1.109445
1.076436
0.130442
1
train
H1
H14
1,000
1,000
0
0
0
-0.399902
0.399902
1.447484
1.448492
3.76204
5.644989
5.065838
1.448492
1.447484
0.079427
2.098129
0.862182
0.159945
4.477341
4.581435
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