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
int64
20
1k
perc
int64
0
50
real_perc1
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95
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95
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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
float64
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143
BN_SCE_test
float64
0
114
Q_test
float64
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MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
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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10.7
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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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H1
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train
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train
H1
H27
300
300
40
40.666667
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7,647
train
H0
H27
500
500
40
35.6
39
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7,647
train
H1
H27
500
500
40
39.4
41
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7,647
train
H0
H27
1,000
1,000
40
38.7
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7,647
train
H1
H27
1,000
1,000
40
40.2
42.1
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7.770468
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7,647
train
H0
H27
20
20
50
45
75
1.389844
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7,647
train
H1
H27
20
20
50
55
40
0.308011
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7,647
train
H0
H27
30
30
50
40
43.333333
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7,647
train
H1
H27
30
30
50
60
56.666667
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7,647
train
H0
H27
50
50
50
48
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7,647
train
H1
H27
50
50
50
48
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7,647
train
H0
H27
75
75
50
45.333333
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7,647
train
H1
H27
75
75
50
46.666667
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7,647
train
H0
H27
100
100
50
54
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7,647
train
H1
H27
100
100
50
55
44
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7,647
train
H0
H27
150
150
50
51.333333
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7,647
train
H1
H27
150
150
50
49.333333
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3.312229
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24.09075
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7,647
train
H0
H27
200
200
50
54.5
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7,647
train
H1
H27
200
200
50
49
51
1.839215
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7,647
train
H0
H27
300
300
50
49.333333
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7,647
train
H1
H27
300
300
50
56.666667
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1.73022
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0
2.996426
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7,647
train
H0
H27
500
500
50
51.4
49.4
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7,647
train
H1
H27
500
500
50
51.2
49
2.573234
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25.870063
31.295053
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1.583671
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7,647
train
H0
H27
1,000
1,000
50
51.6
49.7
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0.283159
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7,647
train
H1
H27
1,000
1,000
50
51.6
50.6
3.638167
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26.203007
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0
6.339317
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7,647
train
H0
H28
20
20
0
0
0
1.352504
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2.490703
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0.17077
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1.436879
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7,647
train
H1
H28
20
20
0
0
0
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7,647
train
H0
H28
30
30
0
0
0
0.798359
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7,647
train
H1
H28
30
30
0
0
0
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1.66192
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0.285579
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7,647
train
H0
H28
50
50
0
0
0
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1.216904
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1.216904
0.356791
1.496187
1.007253
0.839505
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7,647
train
H1
H28
50
50
0
0
0
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5.407684
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0.587999
0.012148
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3.299555
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7,647
train
H0
H28
75
75
0
0
0
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1.281168
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7,647
train
H1
H28
75
75
0
0
0
0.858869
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4.504552
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0.211885
0.525814
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7,647
train
H0
H28
100
100
0
0
0
0.427593
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1.366025
8.729534
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0.069968
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7,647
train
H1
H28
100
100
0
0
0
0.068415
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1.757412
5.679948
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7,647
train
H0
H28
150
150
0
0
0
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0.136417
0.13616
0.339914
3.876099
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0.210316
0.275158
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7,647
train
H1
H28
150
150
0
0
0
0.284859
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0.747679
2.516525
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0.499969
0.472312
0.249886
0.058583
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7,647
train
H0
H28
200
200
0
0
0
0.683306
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1.517919
1.622813
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0.683306
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0.455141
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0.228428
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7,647
train
H1
H28
200
200
0
0
0
0.055356
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0.395755
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1.234626
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0.155761
0.032558
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7,647
train
H0
H28
300
300
0
0
0
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0.477135
0.865998
0.865107
1.121511
1.467158
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0.865107
0.865998
0.589267
0.74841
0.403667
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1.101075
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7,647
train
H1
H28
300
300
0
0
0
0.44652
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4.289955
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0.44652
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0.231809
0.128567
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7,647
train
H0
H28
500
500
0
0
0
0.820078
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0.767748
0.796559
0.780836
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0.875981
0.411938
0.766119
0.695334
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7,647
train
H1
H28
500
500
0
0
0
1.616507
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3.365188
10.988615
3.088981
1.616507
1.738223
0.011788
3.053384
2.191077
2.615026
2.031312
1.939764
1.617316
7,647
train
H0
H28
1,000
1,000
0
0
0
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0.44141
0.071745
0.071704
0.452563
0.376797
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0.071704
0.44141
0.658836
0.005142
0.088297
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0.09915
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7,647
train
H1
H28
1,000
1,000
0
0
0
0.717407
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0.127742
3.72305
1.855666
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0.292964
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0.026304
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0.363057
0.717586