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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CoxMantel_test
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BN_GPH_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
0
84.2
WLg_TaroneWare_test
float64
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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7,644
train
H1
H09
300
300
10
12.333333
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7,644
train
H0
H09
500
500
10
11
11
0.436088
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7,644
train
H1
H09
500
500
10
10.8
10.6
2.404804
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7,644
train
H0
H09
1,000
1,000
10
10.2
8.7
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7,644
train
H1
H09
1,000
1,000
10
9
9.5
1.419514
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7,644
train
H0
H09
20
20
20
25
15
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7,644
train
H1
H09
20
20
20
20
25
0.066483
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7,644
train
H0
H09
30
30
20
26.666667
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7,644
train
H1
H09
30
30
20
30
20
0.054455
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7,644
train
H0
H09
50
50
20
26
14
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7,644
train
H1
H09
50
50
20
12
20
0.129984
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7,644
train
H0
H09
75
75
20
16
17.333333
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7,644
train
H1
H09
75
75
20
20
21.333333
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7,644
train
H0
H09
100
100
20
18
21
0.144336
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7,644
train
H1
H09
100
100
20
20
25
-0.567439
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13.799184
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7,644
train
H0
H09
150
150
20
19.333333
21.333333
0.191712
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7,644
train
H1
H09
150
150
20
25.333333
21.333333
0.571825
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4.784918
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7,644
train
H0
H09
200
200
20
13.5
25
0.044085
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7,644
train
H1
H09
200
200
20
18.5
21
1.271458
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3.241127
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7,644
train
H0
H09
300
300
20
20
22
0.414708
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7,644
train
H1
H09
300
300
20
22.666667
19.333333
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5.803092
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7,644
train
H0
H09
500
500
20
21.4
18.2
1.027288
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1.22491
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1.028434
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7,644
train
H1
H09
500
500
20
20.4
21.8
0.935348
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7.04161
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5.813745
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1.779651
0.019787
3.199039
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5.67681
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7,644
train
H0
H09
1,000
1,000
20
19.7
21
-1.065574
1.106662
1.06201
1.061838
1.140334
1.158249
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1.061838
1.106662
0.252055
1.127499
1.072337
1.22496
0.605346
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7,644
train
H1
H09
1,000
1,000
20
17.7
18.8
1.012323
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11.537053
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9.709878
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2.161522
0.00223
4.728752
1.572549
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7,644
train
H0
H09
20
20
30
40
25
-0.399951
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1.206976
1.85768
1.049477
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0.59171
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0.091773
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7,644
train
H1
H09
20
20
30
20
50
0.969253
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0.861598
3.052309
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0.986957
0.284685
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7,644
train
H0
H09
30
30
30
30
33.333333
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0.35469
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2.350408
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0.455597
0.122348
0.291262
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7,644
train
H1
H09
30
30
30
20
20
0.881515
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4.599569
4.729491
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1.501467
0.10568
2.383593
1.194006
0.578808
3.863902
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7,644
train
H0
H09
50
50
30
34
26
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0.045807
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9.052051
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8.461811
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1.309579
0.014539
0.002159
0.791414
1.712164
3.074107
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7,644
train
H1
H09
50
50
30
30
30
0.411703
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0.980452
1.062057
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0.711924
0.623502
0.500979
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7,644
train
H0
H09
75
75
30
36
33.333333
0.793977
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0.964002
0.929439
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0.924127
0.446662
0.876911
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7,644
train
H1
H09
75
75
30
32
36
1.000691
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3.392105
7.785304
2.848237
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1.431766
0.050664
2.076823
1.104992
0.962298
2.694702
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1.053935
7,644
train
H0
H09
100
100
30
28
33
0.083953
0.076179
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2.234936
2.635063
2.36363
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0.69843
0.306722
0.484
0.047661
0.00602
1.6302
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7,644
train
H1
H09
100
100
30
34
36
-0.745761
0.75068
0.459389
0.458613
1.123308
2.167704
0.922411
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0.75068
0.421821
0.210326
0.506519
0.564006
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0
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7,644
train
H0
H09
150
150
30
30
21.333333
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1.654301
1.263901
1.256057
2.638795
2.475379
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1.654301
0.085542
1.577679
2.307642
2.738369
0.234062
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7,644
train
H1
H09
150
150
30
24
30.666667
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0.248941
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3.984957
4.671687
3.629525
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0.625084
0.162877
0.393383
0.002164
0.061924
2.194384
2.056069
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7,644
train
H0
H09
200
200
30
29.5
32
0.379672
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0.28863
2.092556
0.568335
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0.49018
0.55342
0.009815
0.073531
0.239692
0.121751
0.159834
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7,644
train
H1
H09
200
200
30
29.5
28.5
1.434141
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1.960631
2.250319
2.161642
1.434141
1.506068
0.115332
1.423373
1.881793
2.264459
0.275174
0.287369
1.574674
7,644
train
H0
H09
300
300
30
31.666667
30.333333
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1.368028
1.123907
1.121573
2.01285
2.385493
1.901239
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1.368028
0.148528
1.257926
1.758321
1.873905
0.275829
0.349005
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7,644
train
H1
H09
300
300
30
25.333333
28.666667
0.95546
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4.269928
4.42905
4.328333
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1.637501
0.114846
2.687084
1.271893
0.654981
4.192439
4.149435
0.85097
7,644
train
H0
H09
500
500
30
30.8
28.6
-0.218801
0.139494
0.529907
0.528865
0.583456
1.233449
0.692241
0.528865
0.529907
0.707427
0.279699
0.087002
0.019524
0.664536
0.703415
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7,644
train
H1
H09
500
500
30
26
36.2
3.691253
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19.416966
39.842316
18.481135
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4.211056
0
18.07104
14.076038
13.296265
15.5309
15.273817
3.828657
7,644
train
H0
H09
1,000
1,000
30
30.9
30.1
0.497546
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1.931497
2.33008
1.548408
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0.538422
0.461071
0.000041
0.1871
0.289479
0.434267
0.447034
0.566616
7,644
train
H1
H09
1,000
1,000
30
29.2
30.6
2.88504
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9.853923
26.836464
9.614618
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3.084939
0.000006
9.597994
8.11683
9.108486
6.547612
6.446644
3.181042