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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143
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float64
0
1
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84.2
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99.4
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106
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float64
0
71.9
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0
71.6
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train
H1
H09
300
300
10
10.333333
10
0.327999
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7,649
train
H0
H09
500
500
10
7
8.4
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7,649
train
H1
H09
500
500
10
10.6
7
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7,649
train
H0
H09
1,000
1,000
10
11
10.1
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7,649
train
H1
H09
1,000
1,000
10
9.2
9.9
3.09543
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19.18363
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7,649
train
H0
H09
20
20
20
10
25
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7,649
train
H1
H09
20
20
20
15
15
0.151324
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7,649
train
H0
H09
30
30
20
23.333333
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7,649
train
H1
H09
30
30
20
43.333333
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7,649
train
H0
H09
50
50
20
16
26
2.51686
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6.66078
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6.557933
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7,649
train
H1
H09
50
50
20
24
18
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7,649
train
H0
H09
75
75
20
18.666667
17.333333
1.10273
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2.124871
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1.826917
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0.25504
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7,649
train
H1
H09
75
75
20
28
26.666667
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7,649
train
H0
H09
100
100
20
18
26
1.122265
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1.108123
5.042326
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0.168724
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7,649
train
H1
H09
100
100
20
19
22
1.395728
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4.376169
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7,649
train
H0
H09
150
150
20
17.333333
16
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0.587843
1.224132
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7,649
train
H1
H09
150
150
20
17.333333
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1.563097
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2.175384
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1.627476
0.095306
1.305925
1.857534
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1.668048
7,649
train
H0
H09
200
200
20
16.5
20
1.230052
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1.316087
0.174632
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1.099537
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1.357469
7,649
train
H1
H09
200
200
20
21.5
16.5
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1.644168
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0.494527
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0.245526
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7,649
train
H0
H09
300
300
20
22
19.666667
0.193218
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0.036134
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0.184536
0.848145
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7,649
train
H1
H09
300
300
20
19.333333
20
1.512912
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11.0578
15.510983
9.618409
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2.464681
0.001428
6.267058
3.121472
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9.449079
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1.496767
7,649
train
H0
H09
500
500
20
19.6
15.8
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0.136413
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0.999525
4.180919
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0.14583
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7,649
train
H1
H09
500
500
20
20.8
18.2
-0.456302
0.46858
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4.853735
12.851147
3.138678
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0.46858
0.00497
0.102669
0.116982
0.219488
1.451507
1.355468
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7,649
train
H0
H09
1,000
1,000
20
19.3
19.6
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0.948023
0.341107
0.340823
1.689385
2.34096
1.863486
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0.948023
0.328297
0.11616
0.576159
0.898858
0.166024
0.177642
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7,649
train
H1
H09
1,000
1,000
20
19.9
19.7
3.006374
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15.598772
29.232594
14.143419
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3.625453
0.000002
13.49878
9.528566
8.91124
12.645789
12.510502
3.070375
7,649
train
H0
H09
20
20
30
30
45
0.114004
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1.59551
2.139588
1.510959
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0.462277
0.469785
0.209449
0.033049
0.000261
0.817866
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0.050416
7,649
train
H1
H09
20
20
30
40
30
0.344919
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0.193539
0.447496
0.21743
0.344919
0.441059
0.654636
0.04155
0.10213
0.166143
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0.44733
7,649
train
H0
H09
30
30
30
20
20
0.418656
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5.262128
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4.666913
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1.078118
0.021102
1.233745
0.338624
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3.630893
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0.306132
7,649
train
H1
H09
30
30
30
30
23.333333
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0.530894
0.156568
0.154037
1.372101
2.762309
1.040455
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0.530894
0.429742
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0.221497
0.289412
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7,649
train
H0
H09
50
50
30
24
28
0.159705
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0.599094
0.600706
4.003678
5.449931
3.507558
0.159705
0.599094
0.141664
0.360848
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0.057717
2.159737
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7,649
train
H1
H09
50
50
30
34
30
0.777209
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0.660901
0.85901
0.663182
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0.808934
0.421706
0.660901
0.593563
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0.299067
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0.803465
7,649
train
H0
H09
75
75
30
21.333333
37.333333
1.214059
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1.951345
4.890661
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1.403364
0.179981
1.951344
1.822944
1.201212
1.637304
1.836863
1.142418
7,649
train
H1
H09
75
75
30
32
36
1.912456
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3.703259
6.655868
3.803361
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1.88664
0.047086
3.688136
3.385104
3.548157
1.951054
1.820814
1.985526
7,649
train
H0
H09
100
100
30
25
26
-1.816806
1.871598
1.311686
1.3113
3.915516
4.251768
4.052303
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1.871598
0.051934
1.719509
2.94826
3.521278
0.062046
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7,649
train
H1
H09
100
100
30
28
38
0.824839
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10.968174
14.157394
10.003585
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1.838532
0.002699
3.438061
1.008982
0.320186
8.739368
8.349754
0.608197
7,649
train
H0
H09
150
150
30
34
32.666667
0.419352
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0.045243
0.04529
1.756087
2.57571
1.410182
0.419352
0.463282
0.461764
0.002051
0.122038
0.213611
0.499344
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0.492201
7,649
train
H1
H09
150
150
30
30
32
3.213134
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12.626769
13.453048
12.605808
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3.40317
0.001596
12.577927
11.108389
9.214341
9.276089
9.218124
3.156595
7,649
train
H0
H09
200
200
30
25
30
0.650353
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2.355682
11.721167
1.274416
0.650353
0.558993
0.008402
0.052821
0.400922
0.312451
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7,649
train
H1
H09
200
200
30
31
27
-0.408273
0.363082
0.227335
0.226643
0.608175
4.129109
0.297894
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0.363082
0.247856
0.051367
0.179698
0.132081
0.001816
0.000043
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7,649
train
H0
H09
300
300
30
33.333333
26.333333
0.047927
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0.725839
0.725255
4.246153
5.193992
3.688707
0.725255
0.725839
0.158128
0.525995
0.00786
0.029529
2.497731
2.38839
0.180903
7,649
train
H1
H09
300
300
30
32.333333
28.333333
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1.366608
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14.434565
17.903211
12.589299
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1.366608
0.000461
0.053496
0.805424
1.869104
5.001771
4.805439
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7,649
train
H0
H09
500
500
30
28.2
28.2
0.441347
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0.869059
1.349232
1.000866
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0.772322
0.606268
0.596516
0.301173
0.112702
0.930193
0.955268
0.352509
7,649
train
H1
H09
500
500
30
30.2
30.8
1.460964
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10.310874
15.711942
9.164784
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2.322704
0.001299
5.526968
2.607839
1.658499
9.032249
8.929063
1.343493
7,649
train
H0
H09
1,000
1,000
30
29.8
31.1
0.210335
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0.024251
0.024245
0.227486
0.568707
0.317117
0.024245
0.29426
0.75593
0.000588
0.022203
0.086433
0.114742
0.131289
0.310829
7,649
train
H1
H09
1,000
1,000
30
29.9
29.9
1.636046
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7.249399
17.395747
6.088955
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2.216171
0.000586
4.952017
2.837182
2.510994
5.961364
5.814965
1.661443