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
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0
50
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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
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143
BN_SCE_test
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0
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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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train
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7,644
train
H1
H07
300
300
30
28.333333
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7,644
train
H0
H07
500
500
30
29.8
31.4
1.617189
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3.527303
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7,644
train
H1
H07
500
500
30
28.8
30
1.188792
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7,644
train
H0
H07
1,000
1,000
30
29.8
28.2
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7,644
train
H1
H07
1,000
1,000
30
31.3
29.5
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7,644
train
H0
H07
20
20
40
45
30
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7,644
train
H1
H07
20
20
40
35
45
2.048854
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5.662975
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7,644
train
H0
H07
30
30
40
40
33.333333
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7,644
train
H1
H07
30
30
40
36.666667
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7,644
train
H0
H07
50
50
40
36
42
0.307294
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7,644
train
H1
H07
50
50
40
30
42
1.229867
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7,644
train
H0
H07
75
75
40
38.666667
49.333333
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7,644
train
H1
H07
75
75
40
44
38.666667
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0.586948
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7,644
train
H0
H07
100
100
40
42
39
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1.475238
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4.152088
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1.475238
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7,644
train
H1
H07
100
100
40
36
40
1.517742
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8.375877
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7,644
train
H0
H07
150
150
40
41.333333
42
0.809037
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5.385051
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7,644
train
H1
H07
150
150
40
33.333333
41.333333
2.007998
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5.29153
4.351736
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1.851058
7,644
train
H0
H07
200
200
40
42.5
45
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0.522079
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0.064711
0.156287
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7,644
train
H1
H07
200
200
40
44
39
1.461971
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1.564805
7,644
train
H0
H07
300
300
40
42.666667
38.666667
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0.894661
1.465238
1.46714
3.3394
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1.46714
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2.152499
1.25314
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3.423216
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7,644
train
H1
H07
300
300
40
38.333333
41.333333
2.34409
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6.410255
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2.459477
0.011482
3.684456
5.168005
6.069714
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2.527683
7,644
train
H0
H07
500
500
40
39.8
40.2
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0.094765
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0.336159
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0.13974
0.853556
0.019571
0.000607
0.008978
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7,644
train
H1
H07
500
500
40
37.2
40.8
2.967788
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8.863207
8.831005
8.874301
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2.910347
0.002736
8.314471
8.784954
8.487181
4.045077
4.076002
2.995894
7,644
train
H0
H07
1,000
1,000
40
36.3
42.5
2.18922
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4.917277
5.421044
4.813168
2.18922
2.172246
0.025518
4.163057
4.863822
4.718951
1.631735
1.682885
2.233462
7,644
train
H1
H07
1,000
1,000
40
37.3
41.5
3.873824
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14.864221
16.506529
15.103664
3.873824
3.875819
0.000068
13.143273
14.701275
15.050379
5.446255
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3.9842
7,644
train
H0
H07
20
20
50
60
40
-1.566814
1.621026
1.424511
1.414445
2.702482
2.979448
2.724366
1.414445
1.621026
0.088462
2.000655
2.360262
2.613333
0.685968
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7,644
train
H1
H07
20
20
50
45
40
0.384095
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0.925827
0.941802
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0.505313
0.602911
0.009799
0.113485
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0.403899
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0.520219
7,644
train
H0
H07
30
30
50
36.666667
46.666667
0.597609
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1.651449
2.278445
1.77854
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0.969314
0.410956
0.912648
0.398396
0.096045
1.406616
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0.358367
7,644
train
H1
H07
30
30
50
56.666667
66.666667
1.253497
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2.909316
3.169374
2.898453
1.253497
1.362904
0.234752
1.988438
1.406833
1.018492
2.425348
2.389695
1.012293
7,644
train
H0
H07
50
50
50
56
38
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1.194402
1.581082
1.573964
3.239686
3.326948
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1.573964
1.581082
0.194755
2.477364
1.894176
1.425923
3.677117
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7,644
train
H1
H07
50
50
50
48
58
0.884479
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3.033248
5.487492
2.883533
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1.196774
0.139389
1.4288
0.677233
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2.500552
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7,644
train
H0
H07
75
75
50
49.333333
49.333333
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0.308939
0.310396
1.646172
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1.650125
0.310396
0.308939
0.438208
0.096345
0.000577
0.050741
1.053506
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0.226681
7,644
train
H1
H07
75
75
50
41.333333
45.333333
1.395031
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1.972028
2.124385
1.95509
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1.36626
0.158885
1.810104
1.940899
1.868249
0.703767
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1.408833
7,644
train
H0
H07
100
100
50
51
49
0.137351
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0.148901
0.148461
1.356433
1.397306
1.375235
0.148461
0.310647
0.502772
0.022041
0.017545
0.096457
0.687443
0.675059
0.316629
7,644
train
H1
H07
100
100
50
51
54
0.721719
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0.665299
0.73267
0.66912
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0.793713
0.529838
0.626328
0.457771
0.367861
0.44446
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0.628253
7,644
train
H0
H07
150
150
50
39.333333
50.666667
2.735346
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7.822865
10.343391
8.065416
2.735346
2.856812
0.003121
5.924601
7.280299
8.201962
1.649926
1.530903
2.955538
7,644
train
H1
H07
150
150
50
40.666667
41.333333
0.639774
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0.694805
1.968802
0.810672
0.639774
0.687711
0.480123
0.188883
0.297111
0.472773
0.007623
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0.706105
7,644
train
H0
H07
200
200
50
44
48.5
0.042302
0.245988
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3.037865
3.202106
2.937015
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0.497177
0.230269
0.247178
0.000013
0.0605
1.667144
1.635281
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7,644
train
H1
H07
200
200
50
47
50
2.002747
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4.296584
5.031649
4.296262
2.002747
2.050522
0.045241
4.295684
3.967732
3.749883
2.755268
2.747167
2.002408
7,644
train
H0
H07
300
300
50
49
50.333333
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0.597534
0.171097
0.170931
1.152266
2.185365
1.04357
0.170931
0.597534
0.534837
0.029217
0.232413
0.357123
0.15272
0.138791
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7,644
train
H1
H07
300
300
50
44.666667
49
1.256874
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1.87452
2.426496
1.856214
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1.35048
0.219262
1.828369
1.556366
1.40433
1.364191
1.340586
1.228493
7,644
train
H0
H07
500
500
50
49
47.2
-0.657722
0.564352
0.767512
0.766965
0.645912
1.802161
0.680522
0.766965
0.767512
0.558967
0.588236
0.478585
0.318436
0.711388
0.760671
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7,644
train
H1
H07
500
500
50
51.8
50.2
2.32682
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7.000692
11.263229
6.494634
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2.371268
0.010384
3.952431
5.7443
5.63878
0.667455
0.754586
2.467819
7,644
train
H0
H07
1,000
1,000
50
48.8
50.6
1.242098
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1.576055
2.208704
1.542702
1.242098
1.199656
0.22257
1.438742
1.554331
1.395966
0.637492
0.658977
1.219724
7,644
train
H1
H07
1,000
1,000
50
50.6
52.6
2.243969
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9.243603
9.289962
9.226607
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2.652586
0.009919
7.13852
4.799526
3.408888
8.975105
9.003745
1.905486