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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1k
n2
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84.2
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99.4
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71.9
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0
71.6
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train
H1
H05
300
300
0
0
0
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7,649
train
H0
H05
500
500
0
0
0
1.24249
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7,649
train
H1
H05
500
500
0
0
0
3.64601
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13.454856
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7,649
train
H0
H05
1,000
1,000
0
0
0
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7,649
train
H1
H05
1,000
1,000
0
0
0
3.666799
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12.84043
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7,649
train
H0
H05
20
20
10
5
5
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7,649
train
H1
H05
20
20
10
10
10
1.354136
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7,649
train
H0
H05
30
30
10
10
10
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1.543843
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7,649
train
H1
H05
30
30
10
16.666667
10
1.368362
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2.106792
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1.368362
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7,649
train
H0
H05
50
50
10
20
14
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7,649
train
H1
H05
50
50
10
10
8
1.660445
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4.227402
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1.656245
7,649
train
H0
H05
75
75
10
13.333333
8
0.280403
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0.275824
0.277173
2.426151
5.535954
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0.301064
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7,649
train
H1
H05
75
75
10
14.666667
12
0.537106
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0.96173
3.146135
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0.537106
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7,649
train
H0
H05
100
100
10
12
8
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1.653866
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7,649
train
H1
H05
100
100
10
12
12
0.023614
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1.384828
2.771816
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0.42608
0.426174
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7,649
train
H0
H05
150
150
10
10
12
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0.232098
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0.055628
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7,649
train
H1
H05
150
150
10
12
6
0.186604
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0.253647
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7,649
train
H0
H05
200
200
10
9
13.5
2.031333
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4.531035
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0.042648
4.373179
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7,649
train
H1
H05
200
200
10
7
7.5
1.134179
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1.072477
3.313997
1.481851
1.134179
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7,649
train
H0
H05
300
300
10
11.333333
9.666667
1.35012
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3.11122
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2.670044
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1.382274
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1.591752
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1.392527
7,649
train
H1
H05
300
300
10
10.333333
9
1.927876
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3.7338
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1.927876
1.920948
0.052889
3.036711
3.581479
3.695815
1.138324
1.261568
1.935826
7,649
train
H0
H05
500
500
10
10.2
10
0.762879
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2.112234
3.103441
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0.762879
0.814886
0.297101
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0.289401
0.663969
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7,649
train
H1
H05
500
500
10
6.8
10.4
3.395113
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12.93154
14.405071
12.50555
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3.45352
0.000712
12.052328
12.842014
11.34859
7.226211
7.435442
3.384724
7,649
train
H0
H05
1,000
1,000
10
10
9.2
0.613912
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1.311876
1.17482
1.641101
0.613912
0.635074
0.440189
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0.139008
0.403316
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0.638326
7,649
train
H1
H05
1,000
1,000
10
8.8
8.3
3.506347
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12.206293
11.875964
12.339512
3.506347
3.505591
0.000422
9.281938
11.647281
12.307919
3.119903
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3.526197
7,649
train
H0
H05
20
20
20
10
15
2.54584
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7.842183
8.115395
7.565531
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2.599299
0.008097
3.983543
6.069776
6.958166
0.751904
0.989273
2.648013
7,649
train
H1
H05
20
20
20
25
15
-0.001002
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0.004806
0.004711
0.003272
0.329864
0.000109
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0.954317
0.000022
0.000387
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0.031
7,649
train
H0
H05
30
30
20
6.666667
10
-0.756147
0.751399
0.678974
0.671917
0.572299
0.580898
0.570962
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0.751399
0.448372
0.451472
0.540854
0.563218
0.237816
0.233508
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7,649
train
H1
H05
30
30
20
30
20
1.129776
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2.709992
2.828474
2.678019
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1.201855
0.220178
0.448873
1.01109
1.461155
0.028361
0.021862
1.226055
7,649
train
H0
H05
50
50
20
14
22
-0.641409
0.71198
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4.704043
5.747294
5.459777
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0.71198
0.065227
0.096042
0.062751
0.507215
2.27665
2.366853
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7,649
train
H1
H05
50
50
20
18
16
-0.297349
0.312895
0.141159
0.140075
0.384132
2.713967
0.188101
0.140075
0.312895
0.437859
0.019621
0.109359
0.097515
0.001553
0.002111
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7,649
train
H0
H05
75
75
20
24
18.666667
0.060246
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0.599532
0.597577
3.204352
3.45473
2.9868
0.597577
0.599532
0.224608
0.357098
0.003247
0.045863
1.857544
1.77501
0.205193
7,649
train
H1
H05
75
75
20
20
14.666667
0.252456
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0.038335
0.913089
0.09309
0.252456
0.264634
0.789404
0.025394
0.033795
0.069898
0.004266
0.014894
0.267084
7,649
train
H0
H05
100
100
20
26
27
-0.673492
0.825452
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3.868477
3.933636
3.719447
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0.825452
0.155716
0.001054
0.285064
0.680973
1.105695
1.000292
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7,649
train
H1
H05
100
100
20
29
21
-0.645067
0.66918
0.55423
0.551363
0.426484
0.498732
0.430601
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0.66918
0.49493
0.304001
0.416419
0.447322
0.104123
0.108759
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7,649
train
H0
H05
150
150
20
20.666667
17.333333
0.250464
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0.267624
0.289521
0.25307
0.250464
0.407096
0.824933
0.165225
0.082021
0.046925
0.206316
0.203959
0.221205
7,649
train
H1
H05
150
150
20
19.333333
19.333333
1.244838
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2.361235
2.689947
2.316029
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1.472011
0.22064
2.213502
1.757143
1.457237
1.95314
1.915711
1.224829
7,649
train
H0
H05
200
200
20
21.5
21.5
-0.23676
0.279914
0.041292
0.041202
0.100926
1.93136
0.248833
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0.279914
0.586775
0.001698
0.015742
0.078312
0.040014
0.057229
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7,649
train
H1
H05
200
200
20
22.5
17.5
1.471596
-1.509739
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3.701723
5.558755
3.154937
1.471596
1.509739
0.123349
0.879958
1.94131
2.284316
0.000644
0.008941
1.540869
7,649
train
H0
H05
300
300
20
22.333333
19
-1.941846
2.004261
1.363758
1.363719
5.149491
5.289958
4.902842
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2.004261
0.042209
1.85973
3.387767
4.020077
0.049277
0.063613
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7,649
train
H1
H05
300
300
20
20.666667
22
1.334648
-1.348721
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2.870949
5.447473
2.352099
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1.348721
0.141814
0.853731
1.650824
1.819015
0.021125
0.048095
1.36746
7,649
train
H0
H05
500
500
20
18.4
17.2
-0.551401
0.556936
0.45946
0.459238
0.279874
0.726057
0.315446
0.459238
0.556936
0.573074
0.2109
0.266019
0.310152
0.057604
0.054614
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7,649
train
H1
H05
500
500
20
21.4
19.4
2.750607
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8.949885
9.492579
8.437227
2.750607
2.781545
0.004727
4.641364
7.123793
7.75483
0.778121
0.8068
2.825049
7,649
train
H0
H05
1,000
1,000
20
18.4
19.4
1.833751
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3.559304
4.469627
3.365813
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1.812242
0.066794
2.750484
3.368738
3.285501
1.027787
1.091055
1.833054
7,649
train
H1
H05
1,000
1,000
20
17.9
21.1
5.532345
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31.100359
31.163693
30.93082
5.532345
5.535444
0
23.953924
29.930057
30.768378
8.50714
8.608428
5.6109