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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perc
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MIN3_test
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84.2
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99.4
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WLg_Prentice_test
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71.6
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52
1.355376
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7,647
train
H1
H21
300
300
50
46.333333
50.666667
1.046159
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5.849823
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7,647
train
H0
H21
500
500
50
48
50.8
0.529221
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0.257143
3.015497
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0.223983
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7,647
train
H1
H21
500
500
50
48.8
50.4
0.398324
0.057392
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8.495748
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1.139056
0.016675
1.305424
0.120026
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6.025112
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7,647
train
H0
H21
1,000
1,000
50
49.2
50.8
0.553636
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0.517272
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0.553636
0.64539
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0.1586
0.287546
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0.001596
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0.681263
7,647
train
H1
H21
1,000
1,000
50
49.7
53.5
2.192659
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5.343162
5.412412
5.346843
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2.306915
0.031061
5.329812
4.795833
4.149613
3.883291
3.908429
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7,647
train
H0
H22
20
20
0
0
0
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1.271354
1.710624
1.775463
3.791492
3.7063
3.830598
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0.147298
3.152269
2.34269
1.629356
4.304988
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7,647
train
H1
H22
20
20
0
0
0
0.0541
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1.643521
2.492544
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0.0541
0.701472
0.363233
0.485238
0.132275
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1.418207
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7,647
train
H0
H22
30
30
0
0
0
0.147844
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0.208101
3.944165
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0.267557
0.003441
0.032584
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0.149092
7,647
train
H1
H22
30
30
0
0
0
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2.445176
2.589388
6.707613
6.899084
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2.445176
0.017761
6.70493
6.169715
5.626753
4.78964
4.849546
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7,647
train
H0
H22
50
50
0
0
0
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0.704715
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0.698583
1.40575
0.597086
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0.43775
0.488674
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7,647
train
H1
H22
50
50
0
0
0
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0.802409
0.796099
0.749561
0.772647
0.735518
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0.584135
0.633773
0.412281
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7,647
train
H0
H22
75
75
0
0
0
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0.727567
0.723931
0.69777
1.868966
0.561898
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0.727567
0.468532
0.524077
0.656114
0.528267
0.292879
0.393982
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7,647
train
H1
H22
75
75
0
0
0
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1.348319
1.352315
2.069202
2.028237
2.11683
1.352315
1.348319
0.347005
1.828756
1.290171
0.864945
2.147552
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7,647
train
H0
H22
100
100
0
0
0
-0.227235
0.227235
0.185958
0.184548
0.09199
0.431739
0.052243
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0.227235
0.819798
0.034058
0.062614
0.05155
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7,647
train
H1
H22
100
100
0
0
0
-1.360968
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1.470155
1.474796
2.306416
3.869544
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1.474796
1.470155
0.172447
2.175023
2.232005
1.853345
1.441769
1.682116
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7,647
train
H0
H22
150
150
0
0
0
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1.727304
1.740175
3.625333
3.991597
3.433245
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1.727304
0.179672
3.02821
2.014801
1.493322
3.450719
3.371061
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7,647
train
H1
H22
150
150
0
0
0
0.151747
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0.334095
2.031762
0.152939
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0.31018
0.565841
0.095556
0.022587
0.022996
0.129512
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7,647
train
H0
H22
200
200
0
0
0
-2.356975
2.356975
1.95245
1.959283
6.003684
6.743605
5.610568
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2.356975
0.018279
3.838791
5.350354
5.571376
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1.113028
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7,647
train
H1
H22
200
200
0
0
0
-0.448041
0.448041
0.194134
0.193639
0.099714
1.652208
0.358606
0.193639
0.448041
0.647611
0.037496
0.066943
0.200724
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7,647
train
H0
H22
300
300
0
0
0
1.419631
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2.732958
3.772749
2.028396
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1.419631
0.15537
1.392033
2.23638
2.01702
0.413209
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1.420815
7,647
train
H1
H22
300
300
0
0
0
1.169523
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2.274491
5.234222
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1.169523
1.169523
0.155428
0.169503
0.811153
1.368796
0.188606
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1.170499
7,647
train
H0
H22
500
500
0
0
0
-0.072044
0.072044
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5.458626
5.935829
4.892853
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1.018993
0.086603
1.045191
0.092266
0.00519
3.488984
3.388906
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7,647
train
H1
H22
500
500
0
0
0
-1.102343
1.102343
1.231368
1.230737
1.535002
2.158055
1.519469
1.230737
1.231368
0.270073
1.514715
1.400046
1.215212
1.071793
1.142298
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7,647
train
H0
H22
1,000
1,000
0
0
0
-1.011138
1.011138
1.108011
1.107279
1.344031
2.064449
1.236682
1.107279
1.108011
0.311829
1.226067
1.307862
1.022354
0.82966
0.869076
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7,647
train
H1
H22
1,000
1,000
0
0
0
-0.94694
0.94694
1.939893
1.946717
4.883531
13.302205
6.064836
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1.939893
0.004027
3.789706
2.03362
0.897008
5.812089
6.015273
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7,647
train
H0
H22
20
20
10
5
5
0.122233
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1.567732
2.578981
1.974165
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0.735148
0.372662
0.539207
0.175185
0.011956
1.408928
1.507499
0.124202
7,647
train
H1
H22
20
20
10
20
0
-1.446635
1.482735
0.875947
0.871694
3.463394
4.231569
3.178285
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1.482735
0.123904
0.759851
1.647625
2.187553
0.024553
0.000076
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7,647
train
H0
H22
30
30
10
13.333333
23.333333
1.651228
-1.721028
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2.586946
3.247263
2.765609
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1.721028
0.073917
2.025293
2.603653
2.949824
0.573901
0.56463
1.787125
7,647
train
H1
H22
30
30
10
3.333333
20
-0.364774
0.455206
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6.111209
7.416705
5.558463
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0.637863
0.059738
0.418217
0.000607
0.207471
3.114822
2.794661
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7,647
train
H0
H22
50
50
10
10
4
0.102441
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1.256354
2.512678
1.590112
0.102441
0.660491
0.451556
0.436186
0.134151
0.005134
1.170521
1.260264
0.077151
7,647
train
H1
H22
50
50
10
10
12
1.427449
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5.324094
5.408286
5.187572
1.427449
1.459653
0.074737
0.242861
1.303519
2.141739
0.379717
0.298706
1.496229
7,647
train
H0
H22
75
75
10
2.666667
14.666667
1.181901
-1.187588
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1.423776
1.532967
1.394714
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1.187588
0.228
1.061013
1.378037
1.402735
0.332347
0.335265
1.205527
7,647
train
H1
H22
75
75
10
6.666667
10.666667
0.070354
-0.065631
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0.309034
0.589924
0.384153
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0.34101
0.825244
0.114927
0.041192
0.004299
0.268313
0.286098
0.06688
7,647
train
H0
H22
100
100
10
7
11
-0.359327
0.388658
-0.121052
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0.815798
1.85822
1.105164
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0.388658
0.575462
0.014539
0.021175
0.150936
0.366611
0.385699
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7,647
train
H1
H22
100
100
10
12
7
-0.89441
0.912168
0.710114
0.707612
0.686575
2.836637
0.840956
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0.912168
0.354624
0.500714
0.689254
0.832242
0.10295
0.061728
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7,647
train
H0
H22
150
150
10
13.333333
10.666667
0.897856
-0.836763
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3.793912
3.742424
3.793386
-1.55578
1.538801
0.150064
2.420451
1.312265
0.698075
3.63898
3.53996
0.848006
7,647
train
H1
H22
150
150
10
11.333333
8
-1.108908
1.136506
0.876118
0.872997
1.35852
1.394913
1.28292
-1.108908
1.136506
0.247443
0.762124
1.17467
1.292002
0.148123
0.173107
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7,647
train
H0
H22
200
200
10
7.5
11
-0.140618
0.160442
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0.610438
2.55466
0.883053
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0.315499
0.465494
0.098866
0.003027
0.026024
0.497852
0.578992
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7,647
train
H1
H22
200
200
10
7.5
12
-0.920439
0.958419
0.432119
0.430844
1.083426
1.563216
1.538228
-0.920439
0.958419
0.330664
0.185627
0.487193
0.919211
0.046041
0.056052
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7,647
train
H0
H22
300
300
10
10.333333
12.333333
0.164966
-0.155522
-0.181757
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0.084584
1.401062
0.03294
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0.181757
0.705286
0.032888
0.058335
0.023872
0.019328
0.029734
0.157214
7,647
train
H1
H22
300
300
10
7.333333
9.333333
1.09005
-1.109381
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2.588928
3.568173
2.235263
1.09005
1.109381
0.26161
0.239766
0.882147
1.231496
0.074424
0.049624
1.122593
7,647
train
H0
H22
500
500
10
10.6
10.2
-0.023706
0.039715
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0.012308
1.813099
0.082444
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0.110447
0.612089
0.012156
0.010518
0.00165
0.048816
0.062768
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7,647
train
H1
H22
500
500
10
9.8
11.6
-0.524891
0.531309
0.436753
0.436459
0.293969
0.559749
0.279702
0.436459
0.531309
0.58947
0.190496
0.24803
0.282317
0.056626
0.072003
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7,647
train
H0
H22
1,000
1,000
10
9.6
11.3
-0.307108
0.296342
0.593713
0.594197
0.788267
1.728751
0.59013
-0.307108
0.593713
0.630561
0.35307
0.138805
0.088149
0.593501
0.568424
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7,647
train
H1
H22
1,000
1,000
10
10.2
7.9
-2.73068
2.731068
2.48725
2.489142
7.519805
7.652641
7.485075
2.489142
2.731068
0.005694
6.195827
7.261613
7.463682
2.368046
2.459964
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