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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143
BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
1
WLg_logrank_test
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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
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7,647
train
H1
H01
300
300
30
31.666667
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7,647
train
H0
H01
500
500
30
31.6
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7,647
train
H1
H01
500
500
30
31.2
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3.540979
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7,647
train
H0
H01
1,000
1,000
30
31.2
30.5
0.701565
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7,647
train
H1
H01
1,000
1,000
30
28.8
29.7
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13.447343
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7,647
train
H0
H01
20
20
40
40
25
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7,647
train
H1
H01
20
20
40
30
25
1.75763
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7,647
train
H0
H01
30
30
40
40
53.333333
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7,647
train
H1
H01
30
30
40
36.666667
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7,647
train
H0
H01
50
50
40
44
42
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7,647
train
H1
H01
50
50
40
42
46
0.754406
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7,647
train
H0
H01
75
75
40
37.333333
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7,647
train
H1
H01
75
75
40
46.666667
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7,647
train
H0
H01
100
100
40
45
43
0.581017
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7,647
train
H1
H01
100
100
40
42
50
2.001429
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7,647
train
H0
H01
150
150
40
37.333333
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1.254688
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7,647
train
H1
H01
150
150
40
36
42.666667
3.576056
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13.405317
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7,647
train
H0
H01
200
200
40
40.5
43.5
1.922817
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7,647
train
H1
H01
200
200
40
41.5
38
0.852254
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7,647
train
H0
H01
300
300
40
43.666667
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7,647
train
H1
H01
300
300
40
38.666667
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2.776813
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7.568576
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7,647
train
H0
H01
500
500
40
40.8
40.2
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1.40303
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3.004106
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1.40303
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7,647
train
H1
H01
500
500
40
42
39.4
1.568394
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6.243789
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1.83644
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1.841482
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1.905372
7,647
train
H0
H01
1,000
1,000
40
38.7
38.9
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0.026569
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0.967794
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7,647
train
H1
H01
1,000
1,000
40
39.3
36.7
3.696053
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33.834783
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36.461285
3.696053
4.186621
0
4.070579
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7,647
train
H0
H01
20
20
50
45
40
0.251737
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7,647
train
H1
H01
20
20
50
60
40
0.363926
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3.549867
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0.552055
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7,647
train
H0
H01
30
30
50
43.333333
33.333333
0.159807
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0.50386
0.508698
6.604108
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0.159807
0.50386
0.041954
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2.750738
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7,647
train
H1
H01
30
30
50
43.333333
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0.930053
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1.087951
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1.009548
0.287271
0.60552
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1.064126
7,647
train
H0
H01
50
50
50
58
52
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1.019548
1.02285
1.162253
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1.02285
1.122693
0.24755
1.046223
1.265397
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7,647
train
H1
H01
50
50
50
32
44
1.021151
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1.265553
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1.031584
0.282185
0.697136
0.975564
1.061535
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7,647
train
H0
H01
75
75
50
48
53.333333
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1.446324
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0.233934
0.487584
0.037018
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7,647
train
H1
H01
75
75
50
60
46.666667
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0.169817
0.644444
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1.916072
3.168734
1.787601
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0.644444
0.366334
0.413032
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1.483426
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7,647
train
H0
H01
100
100
50
52
51
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0.599936
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2.832919
8.431285
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0.599936
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0.357916
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1.551137
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7,647
train
H1
H01
100
100
50
54
53
1.366526
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1.816149
7.656544
1.970509
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1.479789
0.05367
1.574946
1.745382
2.206807
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7,647
train
H0
H01
150
150
50
51.333333
49.333333
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0.564723
0.821999
0.82102
0.78495
1.077114
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0.82102
0.821999
0.556031
0.674075
0.471842
0.318743
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7,647
train
H1
H01
150
150
50
46.666667
48
2.502043
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9.001814
8.988862
9.050287
2.502043
2.731355
0.003826
3.942214
6.205886
7.522605
0.259612
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2.892129
7,647
train
H0
H01
200
200
50
49.5
57
1.628695
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2.677213
2.636332
2.686475
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1.604456
0.095416
2.328208
2.48481
2.573485
0.769332
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1.667495
7,647
train
H1
H01
200
200
50
48
52
2.762777
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10.715854
11.200605
10.525554
2.762777
2.991874
0.001752
5.185672
7.821482
9.008764
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3.129377
7,647
train
H0
H01
300
300
50
54.333333
46
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1.549227
1.452242
1.451471
2.74593
8.580922
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1.451471
1.549227
0.035414
2.106767
2.768266
2.399541
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7,647
train
H1
H01
300
300
50
51.666667
50
2.027976
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8.912026
10.429477
9.385604
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2.395442
0.009161
1.914284
3.912931
5.759731
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2.513033
7,647
train
H0
H01
500
500
50
49.4
52.8
0.108295
0.132739
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3.152723
5.338909
2.890437
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0.514173
0.148597
0.264493
0.002379
0.017618
1.726588
1.609258
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7,647
train
H1
H01
500
500
50
51.4
50.2
2.684839
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16.746122
21.622607
17.663738
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3.087694
0.000078
3.342627
6.580667
9.572485
0.166881
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3.218617
7,647
train
H0
H01
1,000
1,000
50
50.9
49.1
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0.502699
0.50257
1.968641
3.805335
2.167738
0.50257
0.502699
0.283266
0.252577
0.018326
0.016992
1.426486
1.48432
0.134661
7,647
train
H1
H01
1,000
1,000
50
51.3
49.2
3.563931
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23.861091
31.307204
25.537352
3.563931
4.116386
0.000001
6.379283
11.935476
17.017143
0.037693
0.036555
4.320232