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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Hi
stringclasses
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1k
n2
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84.2
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99.4
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71.6
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48.666667
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5
train
H0
H08
500
500
50
49.8
50.6
0.956872
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1.173208
1.177723
1.220761
0.956872
1.06212
0.231272
0.512161
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1.105997
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1.197089
5
train
H1
H08
500
500
50
52.2
50.8
0.841798
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1.58193
1.715976
1.577708
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1.094234
0.426104
1.199638
0.705075
0.504042
1.525844
1.627225
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5
train
H0
H08
1,000
1,000
50
50.9
51.1
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0.433638
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1.440216
1.298899
1.496523
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0.433638
0.473188
0.032716
0.035215
0.192695
0.670583
0.626717
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5
train
H1
H08
1,000
1,000
50
50.6
49.1
0.272057
-0.221216
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0.468901
0.553193
0.441606
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0.454909
0.801875
0.207049
0.069316
0.04655
0.412034
0.376034
0.241151
5
train
H0
H09
20
20
0
0
0
-1.352504
1.352504
1.706541
1.764845
3.416828
3.350686
3.449706
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1.706541
0.17077
3.114677
2.488309
1.8457
3.699338
3.741616
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5
train
H1
H09
20
20
0
0
0
0.703302
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1.348799
1.582223
1.303421
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0.476303
1.059972
0.714535
0.492532
1.056322
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0.712262
5
train
H0
H09
30
30
0
0
0
0.620946
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1.081768
1.207881
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0.620946
0.620946
0.531193
0.037238
0.240235
0.384063
0.128966
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5
train
H1
H09
30
30
0
0
0
0.413964
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0.125531
0.765705
0.171776
0.413964
0.413964
0.676344
0.121814
0.115783
0.170881
0.01497
0.00387
0.417457
5
train
H0
H09
50
50
0
0
0
0.358479
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0.255814
5.27791
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0.469483
0.152542
0.221462
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0.128102
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0.360285
5
train
H1
H09
50
50
0
0
0
1.406339
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2.268203
3.034064
2.295413
1.406339
1.500502
0.157531
2.267173
2.09974
1.981148
1.361608
1.292495
1.413424
5
train
H0
H09
75
75
0
0
0
-0.719796
0.719796
1.189905
1.193691
1.840237
1.836789
1.900333
1.193691
1.189905
0.386677
1.424898
0.904208
0.517801
2.034945
1.958116
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5
train
H1
H09
75
75
0
0
0
-0.47172
0.47172
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2.081009
6.26148
1.208748
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0.47172
0.099559
0.003108
0.142674
0.222124
0.356527
0.255267
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5
train
H0
H09
100
100
0
0
0
0.405603
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1.220606
1.331533
1.076002
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0.81884
0.583914
0.668058
0.285755
0.164219
0.975662
0.93977
0.40662
5
train
H1
H09
100
100
0
0
0
0.249226
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3.093896
3.667423
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0.249226
1.0318
0.218877
1.079347
0.286667
0.062048
2.541586
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0.249851
5
train
H0
H09
150
150
0
0
0
1.09684
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2.302912
2.692695
3.145691
1.09684
1.09684
0.207454
0.069267
0.542796
1.203779
0.418669
0.40272
1.098673
5
train
H1
H09
150
150
0
0
0
0.375375
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9.405372
15.224723
7.127345
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1.504398
0.001634
2.371491
0.511269
0.140873
6.104664
5.876831
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5
train
H0
H09
200
200
0
0
0
-0.172989
0.172989
0.212913
0.211973
0.046789
0.174301
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0.212913
0.86249
0.044933
0.05356
0.029907
0.049536
0.040106
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5
train
H1
H09
200
200
0
0
0
1.536142
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6.526921
27.996084
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1.536142
2.059484
0.000004
4.421218
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4.743459
4.535831
1.538066
5
train
H0
H09
300
300
0
0
0
1.36829
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2.503861
3.065202
2.502781
1.36829
1.577194
0.170864
2.502366
2.16593
1.873268
1.874377
1.996777
1.369432
5
train
H1
H09
300
300
0
0
0
1.907599
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8.589335
9.041865
8.141328
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2.655651
0.017066
7.238243
4.792084
3.642254
7.750315
7.681154
1.909191
5
train
H0
H09
500
500
0
0
0
0.615771
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0.32986
0.330081
2.000641
8.891192
3.438228
0.615771
0.615771
0.030773
0.108953
0.028859
0.379207
1.431812
1.549047
0.616079
5
train
H1
H09
500
500
0
0
0
-0.882707
0.882707
-0.494949
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10.036332
12.917089
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0.882707
0.004819
0.248237
0.254998
0.779273
3.340243
3.21776
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5
train
H0
H09
1,000
1,000
0
0
0
0.493759
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0.145118
0.145026
0.916211
3.694042
1.566271
0.145026
0.493759
0.296454
0.021032
0.040907
0.243779
0.56795
0.610104
0.493883
5
train
H1
H09
1,000
1,000
0
0
0
3.228486
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39.052662
52.561787
34.625208
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5.053788
0
26.664043
15.060241
10.436188
34.461513
34.280043
3.229294
5
train
H0
H09
20
20
10
5
20
-0.592638
0.537677
0.744817
0.754514
0.596178
1.329624
0.629236
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0.744817
0.580449
0.569291
0.441107
0.289495
0.757187
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5
train
H1
H09
20
20
10
10
10
0.510449
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5.036455
10.938837
4.300688
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1.168555
0.012061
1.467254
0.6
0.269159
3.748283
3.417862
0.559813
5
train
H0
H09
30
30
10
6.666667
10
0.263811
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0.007115
0.00705
0.367097
0.342871
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0.263811
0.264255
0.790085
0.00005
0.023057
0.069575
0.171044
0.158538
0.2662
5
train
H1
H09
30
30
10
10
10
1.50501
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2.234007
2.380521
2.274557
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1.525204
0.121614
1.832292
2.233519
2.33316
0.609994
0.642196
1.548036
5
train
H0
H09
50
50
10
10
10
-0.6137
0.595932
0.425923
0.420834
0.497282
0.644281
0.44786
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0.595932
0.543761
0.177101
0.319877
0.354543
0.016779
0.040204
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5
train
H1
H09
50
50
10
8
10
0.377711
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0.164971
0.997982
0.160318
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0.39804
0.706508
0.157447
0.134017
0.132911
0.092437
0.143837
0.376551
5
train
H0
H09
75
75
10
16
8
-1.372255
1.380536
1.637437
1.635358
2.769492
3.330159
2.704311
-1.372255
1.637437
0.157658
2.674395
2.185526
1.904234
2.377012
2.296503
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5
train
H1
H09
75
75
10
9.333333
5.333333
0.23853
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1.415169
2.492689
1.097983
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0.667391
0.476614
0.451528
0.128342
0.057274
0.897514
0.804153
0.240484
5
train
H0
H09
100
100
10
8
15
0.202817
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0.017956
0.965852
0.054918
0.202817
0.210298
0.809514
0.016153
0.019423
0.043618
0.001863
0.011202
0.214474
5
train
H1
H09
100
100
10
7
10
1.18486
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1.549401
1.771503
1.578233
1.18486
1.245681
0.224537
1.545465
1.452644
1.422381
0.878988
0.871851
1.214553
5
train
H0
H09
150
150
10
8.666667
7.333333
0.394378
-0.39161
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1.153472
2.690896
0.658211
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0.39161
0.441777
0.000362
0.117693
0.153258
0.167684
0.135934
0.398777
5
train
H1
H09
150
150
10
8
14.666667
3.211185
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10.484678
12.237668
10.841903
3.211185
3.214799
0.001068
10.221375
10.274582
10.392954
5.577082
5.521946
3.272054
5
train
H0
H09
200
200
10
11.5
9.5
-0.380155
0.347262
0.2703
0.269212
0.488621
2.754112
0.163959
0.269212
0.347262
0.43111
0.072475
0.194929
0.120532
0.007747
0.023381
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5
train
H1
H09
200
200
10
11
9
0.960299
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2.199397
3.250758
1.941203
0.960299
1.304085
0.339562
1.721182
1.059703
0.887097
1.794557
1.727505
0.95503
5
train
H0
H09
300
300
10
13.333333
8.333333
0.619291
-0.661689
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0.631927
0.957061
1.074795
0.619291
0.661689
0.500014
0.025644
0.167382
0.438075
0.158455
0.151096
0.674468
5
train
H1
H09
300
300
10
8.333333
10.666667
0.561476
-0.501127
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9.120842
14.03946
7.677545
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1.69221
0.002852
2.936263
0.822126
0.250742
6.619843
6.469796
0.49988
5
train
H0
H09
500
500
10
10
7.8
-0.187911
0.194893
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0.837915
1.253899
0.584716
-0.184361
0.194893
0.740108
0.033989
0.012223
0.037967
0.271396
0.243242
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5
train
H1
H09
500
500
10
11.8
10.2
1.616629
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5.759395
12.081274
5.015385
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2.11904
0.00711
4.575759
2.942062
2.564899
4.673809
4.606406
1.622714
5
train
H0
H09
1,000
1,000
10
10
9.7
0.379604
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0.253557
0.253534
0.882946
5.49384
1.70136
0.379604
0.428768
0.139008
0.06428
0.008248
0.183809
0.763531
0.81846
0.436802
5
train
H1
H09
1,000
1,000
10
10.2
9.9
-0.128832
0.20161
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16.678815
21.187103
13.398697
-0.128832
1.535145
0.000096
2.389707
0.093863
0.040645
9.335867
9.169797
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