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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1k
perc
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0
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logrank_test
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0
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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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float64
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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
float64
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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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7,642
train
H1
H28
300
300
30
35
33.666667
0.412153
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1.844956
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7,642
train
H0
H28
500
500
30
30.2
28.4
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0.854422
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0.968719
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3.194181
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0.968868
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7,642
train
H1
H28
500
500
30
30.2
31.2
0.998953
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1.636092
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0.016373
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7,642
train
H0
H28
1,000
1,000
30
29.8
30.6
0.770866
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0.827869
1.023014
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7,642
train
H1
H28
1,000
1,000
30
29.4
29.3
0.979003
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0.457589
0.457901
10.836051
25.304356
15.027525
0.979003
1.364965
0.000013
0.209674
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1.865021
5.550226
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1.397052
7,642
train
H0
H28
20
20
40
35
35
0.490537
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1.111569
1.545881
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0.490537
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0.041523
0.218556
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7,642
train
H1
H28
20
20
40
35
55
0.837784
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1.030961
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0.837784
0.931688
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7,642
train
H0
H28
30
30
40
40
33.333333
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1.997437
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0.893552
0.44431
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0.893655
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7,642
train
H1
H28
30
30
40
33.333333
46.666667
1.101708
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5.60497
5.496532
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0.062502
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1.055045
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7,642
train
H0
H28
50
50
40
48
40
-2.420587
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1.956298
1.977695
7.460202
7.72792
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2.530152
0.008463
3.911279
5.963319
6.505048
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7,642
train
H1
H28
50
50
40
46
40
0.682258
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0.73538
4.413214
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0.220163
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0.787673
7,642
train
H0
H28
75
75
40
45.333333
50.666667
0.685954
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0.693134
2.088786
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0.695501
0.471635
0.322946
0.495966
0.483499
0.01123
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0.719822
7,642
train
H1
H28
75
75
40
41.333333
49.333333
1.175332
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1.503288
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1.175332
1.220583
0.200793
1.027833
1.351224
1.489725
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1.279296
7,642
train
H0
H28
100
100
40
45
46
0.204395
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1.161598
1.210834
1.140113
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0.489541
0.565494
0.238992
0.035159
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0.817453
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0.014146
7,642
train
H1
H28
100
100
40
40
44
1.232574
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9.504715
9.55289
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1.232574
1.595084
0.007904
0.134729
1.23759
2.547364
1.558379
1.469589
1.657064
7,642
train
H0
H28
150
150
40
38.666667
37.333333
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0.514179
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2.380987
4.607432
2.07312
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0.514179
0.202905
0.002382
0.117424
0.264111
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7,642
train
H1
H28
150
150
40
46.666667
43.333333
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0.510761
1.229699
1.235072
3.319687
4.4962
3.500759
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1.229699
0.173708
1.525404
0.710777
0.260833
3.495436
3.547036
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7,642
train
H0
H28
200
200
40
37
40.5
-0.123522
0.219772
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0.393025
1.062774
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0.219772
0.784529
0.010431
0.00317
0.048274
0.173754
0.179014
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7,642
train
H1
H28
200
200
40
31
42.5
2.816027
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8.765091
11.858446
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2.816027
2.971823
0.002015
5.120166
7.197413
8.842306
0.742238
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3.088085
7,642
train
H0
H28
300
300
40
38.333333
40.333333
1.232101
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1.834912
7.896948
2.284477
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1.353902
0.04819
0.816518
1.182653
1.834071
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1.393651
7,642
train
H1
H28
300
300
40
43.666667
34.666667
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0.032552
1.380493
1.377755
7.908122
9.996208
8.661076
1.377755
1.380493
0.01316
1.898208
0.382281
0.00106
6.652453
6.765289
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7,642
train
H0
H28
500
500
40
38.6
41.4
0.776978
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1.545478
1.575677
1.553339
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1.043159
0.459935
1.088752
0.654624
0.410899
1.472359
1.483202
0.664502
7,642
train
H1
H28
500
500
40
42.8
41
-0.041032
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0.949876
0.951805
8.681863
8.972076
9.11203
0.951805
0.949876
0.010504
0.905932
0.03389
0.127794
5.574913
5.525746
0.371271
7,642
train
H0
H28
1,000
1,000
40
37
40.6
1.217443
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4.555387
5.440993
4.401102
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1.698745
0.110742
2.892481
1.605769
0.974436
4.374591
4.244608
1.018726
7,642
train
H1
H28
1,000
1,000
40
41.9
39.6
1.16286
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0.646348
0.646485
30.06832
39.057184
33.004416
0.646485
1.93518
0
0.417943
0.683681
3.747075
12.388912
12.479053
2.010266
7,642
train
H0
H28
20
20
50
40
55
0.702445
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0.502276
0.539081
0.502741
0.702445
0.729604
0.449376
0.501169
0.536511
0.529533
0.169133
0.177679
0.756456
7,642
train
H1
H28
20
20
50
55
40
-0.958617
0.878993
1.094647
1.097591
1.338277
5.956229
1.396378
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1.094647
0.113759
1.204705
1.107372
0.807086
1.874183
2.070413
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7,642
train
H0
H28
30
30
50
53.333333
46.666667
0.159884
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0.299498
0.37967
0.287397
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0.237336
0.804404
0.000984
0.021071
0.056174
0.15987
0.214113
0.247651
7,642
train
H1
H28
30
30
50
56.666667
43.333333
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1.48861
1.439467
1.456994
2.258991
2.392403
2.269332
1.456994
1.48861
0.111914
2.12283
2.21685
2.219231
1.285099
1.312128
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7,642
train
H0
H28
50
50
50
58
54
-0.724384
0.756009
0.756031
0.751274
0.565911
1.056255
0.568277
0.751274
0.756031
0.427182
0.564412
0.620591
0.571224
0.615973
0.566593
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7,642
train
H1
H28
50
50
50
50
58
0.887898
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12.473419
12.823713
12.650717
0.887898
1.395081
0.00179
0.022053
0.779194
1.948182
2.542993
2.344343
1.464878
7,642
train
H0
H28
75
75
50
49.333333
53.333333
0.557491
-0.657099
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1.081183
2.227375
0.999698
0.557491
0.657099
0.489002
0.11574
0.318201
0.431362
0.070494
0.063115
0.691897
7,642
train
H1
H28
75
75
50
62.666667
37.333333
-2.414515
2.161123
2.749154
2.748528
8.608245
8.881451
8.645482
2.748528
2.749154
0.013263
7.554406
6.230644
4.675503
9.081727
9.755355
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7,642
train
H0
H28
100
100
50
55
56
1.015989
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7.554551
7.824169
7.644102
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1.421263
0.021883
0.216451
1.141742
2.025119
0.949985
0.904111
1.475807
7,642
train
H1
H28
100
100
50
56
49
-1.311629
1.271351
1.288766
1.288617
1.773557
5.681155
1.722394
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1.288766
0.128196
1.660535
1.916296
1.620388
0.902726
1.044383
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7,642
train
H0
H28
150
150
50
51.333333
50
-0.012849
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0.247423
0.24701
0.872609
1.216903
0.811137
0.24701
0.247423
0.666598
0.061014
0.000038
0.013203
0.577733
0.496003
0.117785
7,642
train
H1
H28
150
150
50
52.666667
48.666667
0.249961
-0.66191
0.299829
0.299083
3.543102
6.974733
4.038146
0.249961
0.66191
0.072707
0.08945
0.044758
0.438647
1.980298
2.004874
0.685277
7,642
train
H0
H28
200
200
50
50
54.5
0.2123
-0.151925
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0.329017
0.588947
0.306581
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0.332746
0.85788
0.110247
0.044503
0.023074
0.210656
0.176891
0.159768
7,642
train
H1
H28
200
200
50
50.5
40.5
-1.649256
1.323541
2.082098
2.084914
5.497952
10.542676
5.834557
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2.082098
0.014474
4.346866
3.104205
1.753659
6.100847
6.333989
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7,642
train
H0
H28
300
300
50
46
48
1.264298
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1.672103
3.700503
1.606829
1.264298
1.239335
0.202739
1.539691
1.833628
1.51588
0.782436
0.80134
1.273786
7,642
train
H1
H28
300
300
50
51.666667
46.333333
-0.372438
-0.109073
1.054672
1.053889
5.520219
8.252138
6.183274
-0.372438
1.054672
0.041078
1.110682
0.215163
0.011907
4.631589
4.631935
0.110562
7,642
train
H0
H28
500
500
50
44.6
50
2.277654
-2.248242
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5.217922
5.260332
5.197162
2.277654
2.248242
0.018471
4.663699
5.205557
5.057926
1.905448
1.932187
2.356029
7,642
train
H1
H28
500
500
50
50.4
51.6
0.899503
-1.509826
-0.025945
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9.838353
27.206502
11.492774
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1.509826
0.000005
0.000675
0.621156
2.282278
3.112579
3.338709
1.578944
7,642
train
H0
H28
1,000
1,000
50
50.2
49.9
-0.097108
0.105532
0.083445
0.083395
0.006989
0.511038
0.011051
0.083395
0.105532
0.912757
0.006955
0.002077
0.011135
0.00289
0.002556
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7,642
train
H1
H28
1,000
1,000
50
51.8
49.9
0.843324
-1.45823
-0.005413
-0.005415
8.30141
25.295464
10.093124
0.843324
1.45823
0.000013
0.000029
0.478556
2.129471
2.901241
2.981027
1.532353