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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20
1k
perc
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0
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logrank_test
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0
109
BN_MCE_test
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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0
84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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7,647
train
H1
H29
300
300
20
15.333333
20.666667
2.686332
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8.29422
7.734302
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0.005722
3.81456
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2.763314
7,647
train
H0
H29
500
500
20
19
23.4
0.49225
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3.741793
4.670372
3.229934
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1.145917
0.197588
1.311017
0.350445
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2.882785
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7,647
train
H1
H29
500
500
20
18.6
19.6
2.668693
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9.047609
30.646145
13.8865
2.668693
2.837726
0.000001
1.872691
4.156178
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2.881327
7,647
train
H0
H29
1,000
1,000
20
21.3
20
-0.258379
0.268868
0.144818
0.144802
0.225134
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0.144802
0.268868
0.78512
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0.082974
0.072277
0.000873
0.000947
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7,647
train
H1
H29
1,000
1,000
20
17.6
19.9
3.820959
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17.690889
34.485065
23.178973
3.820959
3.977976
0
5.18771
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7,647
train
H0
H29
20
20
30
30
25
-0.223969
0.232284
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0.126584
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0.093873
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7,647
train
H1
H29
20
20
30
25
55
1.602998
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3.492417
3.496808
3.494361
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1.822494
0.125351
3.27197
2.575028
2.061876
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1.532696
7,647
train
H0
H29
30
30
30
36.666667
20
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0.551911
0.545412
0.87729
0.975938
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0.868294
0.374332
0.297475
0.556747
0.751304
0.014881
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7,647
train
H1
H29
30
30
30
26.666667
33.333333
0.581141
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0.457311
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0.581141
0.598466
0.54178
0.154446
0.23138
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0.610123
7,647
train
H0
H29
50
50
30
34
40
-0.914387
0.928205
0.810718
0.819318
0.820603
1.827381
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0.819318
0.928205
0.329901
0.671282
0.778998
0.864741
0.258634
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7,647
train
H1
H29
50
50
30
40
36
0.888376
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5.293627
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0.888376
1.113447
0.016047
0.029383
0.437574
1.240546
1.046235
1.156851
1.138901
7,647
train
H0
H29
75
75
30
36
38.666667
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0.12359
0.320064
0.320185
0.364864
0.325066
0.370739
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0.320064
0.830797
0.102519
0.04235
0.015267
0.34119
0.321226
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7,647
train
H1
H29
75
75
30
28
33.333333
1.52674
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4.638099
19.467832
6.326011
1.52674
1.771476
0.000219
0.53253
1.499128
3.150029
0.281214
0.376576
1.800372
7,647
train
H0
H29
100
100
30
36
25
-0.440178
0.255411
0.953999
0.952958
2.960594
4.085706
2.692202
0.952958
0.953999
0.252357
0.90813
0.238266
0.065139
2.391826
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7,647
train
H1
H29
100
100
30
32
37
0.716318
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0.537066
1.435518
0.619133
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0.746368
0.441593
0.328008
0.420946
0.556328
0.029987
0.016821
0.769507
7,647
train
H0
H29
150
150
30
34.666667
28
0.185041
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0.35037
0.349322
2.258833
2.300674
2.307645
0.185041
0.372971
0.315429
0.122026
0.010091
0.139094
1.208011
1.131926
0.376046
7,647
train
H1
H29
150
150
30
26.666667
28
0.973345
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5.69856
6.113321
6.164122
0.973345
1.154591
0.045865
0.00692
0.49399
1.335222
1.488302
1.460649
1.189375
7,647
train
H0
H29
200
200
30
28
31
0.116724
0.018152
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1.240849
1.449275
1.283746
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0.517188
0.526306
0.267272
0.034213
0.000329
0.905786
0.930314
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7,647
train
H1
H29
200
200
30
33.5
31.5
1.317445
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12.293519
12.437049
12.39596
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1.651514
0.002034
0.013809
1.207735
2.734793
2.761775
2.700868
1.698269
7,647
train
H0
H29
300
300
30
32.666667
36.333333
1.111645
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1.25004
4.062671
1.279463
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1.119194
0.254776
1.249956
1.084672
1.190591
0.683673
0.660278
1.117836
7,647
train
H1
H29
300
300
30
31.333333
34.666667
3.570627
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14.018559
15.693514
14.798641
3.570627
3.691719
0.000144
8.361139
11.453497
13.703641
1.399154
1.42509
3.80204
7,647
train
H0
H29
500
500
30
28.8
33.4
0.168988
0.101281
-1.140317
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8.182156
8.50294
8.453519
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1.140317
0.0146
1.303924
0.172284
0.010256
5.781681
5.70519
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7,647
train
H1
H29
500
500
30
35.6
32.6
1.555402
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16.507796
26.881824
19.09378
1.555402
1.966446
0.000006
0.011769
1.242057
3.877665
4.481116
4.389852
2.02176
7,647
train
H0
H29
1,000
1,000
30
28.9
31.1
0.257661
-0.272663
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0.102418
0.627339
0.070407
0.257661
0.272663
0.781545
0.048189
0.092629
0.074339
0.010163
0.012256
0.277306
7,647
train
H1
H29
1,000
1,000
30
30.4
28
2.797052
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26.878718
50.757899
32.966817
2.797052
3.274674
0
0.620046
4.598523
10.756621
4.741787
4.828518
3.356798
7,647
train
H0
H29
20
20
40
35
50
-0.139822
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0.315541
0.31914
0.388629
2.673017
0.474875
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0.315541
0.444832
0.101851
0.005315
0.027196
0.561229
0.63149
0.161696
7,647
train
H1
H29
20
20
40
35
35
0.634991
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1.990405
2.836446
2.139527
-0.211644
0.780447
0.34309
0.044793
0.273576
0.607426
0.462236
0.448914
0.796882
7,647
train
H0
H29
30
30
40
50
50
0.027563
0.123137
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0.468495
0.665698
0.451431
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0.170556
0.797945
0.030749
0.000302
0.015217
0.147582
0.133853
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7,647
train
H1
H29
30
30
40
43.333333
33.333333
-0.526645
0.479805
0.688907
0.686682
0.611816
3.899325
0.693344
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0.688907
0.272542
0.471532
0.39477
0.229781
0.884167
0.988614
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7,647
train
H0
H29
50
50
40
32
50
1.624538
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2.607571
3.596231
2.642463
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1.59379
0.109521
2.514691
2.434882
2.445581
1.171102
1.115606
1.600352
7,647
train
H1
H29
50
50
40
30
32
-0.084494
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0.612553
0.614765
2.136749
6.215713
2.627925
0.614765
0.612553
0.101574
0.377936
0.070058
0.006614
1.92715
2.078892
0.077542
7,647
train
H0
H29
75
75
40
50.666667
42.666667
-0.702516
0.648066
0.753005
0.752165
0.588593
1.609584
0.578279
0.752165
0.753005
0.500645
0.565752
0.453217
0.41923
0.647061
0.61566
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7,647
train
H1
H29
75
75
40
48
46.666667
1.180218
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6.369473
6.979242
6.162825
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1.477732
0.045894
0.332194
1.364406
2.183626
0.481684
0.432877
1.53883
7,647
train
H0
H29
100
100
40
35
38
0.011736
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0.248326
0.248317
0.721089
0.730159
0.713
0.248317
0.248326
0.700122
0.061661
0.001289
0.011416
0.503355
0.501167
0.106525
7,647
train
H1
H29
100
100
40
49
50
0.458716
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1.272237
8.07948
1.673885
0.458716
0.802649
0.044397
0.009896
0.170259
0.644587
0.42964
0.477606
0.835282
7,647
train
H0
H29
150
150
40
44.666667
33.333333
-0.859668
0.658815
1.368355
1.364822
4.181048
6.431744
3.814608
1.364822
1.368355
0.092394
1.86274
0.766969
0.433566
3.753564
3.54514
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7,647
train
H1
H29
150
150
40
36
46
3.85958
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17.057007
19.184618
17.692855
3.85958
4.057187
0.000025
10.441078
14.191766
16.637425
2.068657
2.108278
4.213189
7,647
train
H0
H29
200
200
40
37
38.5
0.256818
-0.43937
0.306171
0.307014
3.668831
4.658921
3.355947
0.307014
0.43937
0.186752
0.094257
0.040439
0.192955
1.550626
1.422472
0.449215
7,647
train
H1
H29
200
200
40
43
37
0.402895
-0.741044
0.464266
0.464803
7.976943
9.325481
8.414663
0.464803
0.741044
0.014886
0.216042
0.052897
0.549598
3.502009
3.530939
0.766324
7,647
train
H0
H29
300
300
40
36.666667
39.666667
1.510193
-1.496144
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2.18987
3.241127
2.284324
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1.496144
0.122792
2.049115
2.054293
2.240891
0.855499
0.84183
1.543161
7,647
train
H1
H29
300
300
40
40.333333
40
3.234759
-3.881249
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30.577686
43.631681
33.605164
3.234759
3.881249
0
2.622562
8.650834
15.161054
1.62851
1.651856
4.014732
7,647
train
H0
H29
500
500
40
41.6
38.8
-0.835292
0.707022
0.972471
0.972499
0.969989
4.704192
1.042044
-0.835292
0.972471
0.194784
0.945755
0.834655
0.499913
0.984721
1.034617
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7,647
train
H1
H29
500
500
40
39.2
39.6
2.698398
-3.186051
-1.368102
-1.369521
19.468381
42.935943
22.837729
2.698398
3.186051
0
1.875587
5.347541
10.189458
1.246026
1.259271
3.284908
7,647
train
H0
H29
1,000
1,000
40
40.5
40
0.043813
-0.112584
0.060707
0.060691
0.109607
0.169616
0.113906
0.060691
0.112584
0.907748
0.003683
0.00317
0.012674
0.055315
0.05561
0.115879
7,647
train
H1
H29
1,000
1,000
40
40.8
41
3.806817
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-2.357823
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27.091153
56.839109
31.59975
3.806817
4.395256
0
5.58237
11.787818
19.386836
0.350357
0.370159
4.556008