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
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BN_GPH_test
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0
109
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
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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0.392616
0.275773
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7,645
train
H1
H27
300
300
30
32
32
0.515071
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1.490333
4.859512
2.07723
0.515071
0.596904
0.182378
0.000755
0.077669
0.356484
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0.611223
7,645
train
H0
H27
500
500
30
29.2
31.2
-1.094994
1.149323
0.739975
0.740238
2.12401
3.336749
1.864008
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1.149323
0.241372
0.547952
1.15343
1.321482
0.000056
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7,645
train
H1
H27
500
500
30
29
30.4
1.769658
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4.725227
17.078306
6.3814
1.769658
1.933105
0.000681
1.037487
2.063152
3.741239
0.100533
0.109066
1.974735
7,645
train
H0
H27
1,000
1,000
30
31.4
29.7
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0.390049
0.545042
0.544652
0.40415
0.70886
0.375932
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0.545042
0.690316
0.296646
0.202924
0.152116
0.392036
0.372608
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7,645
train
H1
H27
1,000
1,000
30
31.3
31.9
2.965659
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13.723241
71.189108
19.473045
2.965659
3.365578
0
2.673567
5.693727
11.355099
0.398866
0.455845
3.460279
7,645
train
H0
H27
20
20
40
40
50
0.008201
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0.112112
0.111985
0.154082
4.142168
0.229651
0.111985
0.16694
0.246516
0.012541
0.000178
0.027863
0.238556
0.346805
0.175887
7,645
train
H1
H27
20
20
40
40
35
-0.69266
0.451969
1.190652
1.206056
3.506425
4.282536
3.682197
1.206056
1.190652
0.158643
1.454572
0.663423
0.20686
3.894331
3.898709
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7,645
train
H0
H27
30
30
40
50
43.333333
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0.337193
0.395888
0.391418
0.153803
0.716865
0.153397
0.391418
0.395888
0.721088
0.153208
0.113039
0.113264
0.245455
0.220944
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7,645
train
H1
H27
30
30
40
40
50
2.040022
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5.338685
5.520043
5.388703
2.040022
2.174246
0.021212
2.873352
4.076702
4.804411
0.350199
0.396275
2.304183
7,645
train
H0
H27
50
50
40
42
44
-1.12871
1.394543
0.502331
0.500521
5.833618
5.76208
5.836681
0.500521
1.394543
0.054023
0.250521
1.137289
1.949046
0.896354
0.794708
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7,645
train
H1
H27
50
50
40
54
50
0.633763
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0.47365
2.150043
0.521008
0.633763
0.703688
0.458077
0.288947
0.367937
0.497792
0.004336
0.003572
0.742017
7,645
train
H0
H27
75
75
40
44
40
-0.28608
0.338718
0.078395
0.078218
0.754493
5.434693
0.528752
0.078218
0.338718
0.142597
0.006118
0.113306
0.114525
0.098256
0.060153
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7,645
train
H1
H27
75
75
40
38.666667
34.666667
1.780627
-2.015923
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5.603378
7.658563
6.234834
1.780627
2.015923
0.037348
1.176067
2.736591
4.104981
0.087038
0.074402
2.081942
7,645
train
H0
H27
100
100
40
38
44
0.655844
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0.685873
2.080345
0.635837
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0.768621
0.49414
0.583757
0.428075
0.4333
0.518147
0.399093
0.68374
7,645
train
H1
H27
100
100
40
44
33
-0.089171
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0.27583
0.275112
0.242423
1.549318
0.346466
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0.27583
0.670935
0.075687
0.026798
0.00025
0.30436
0.366127
0.017626
7,645
train
H0
H27
150
150
40
41.333333
38
-0.996206
0.848907
1.248071
1.250115
1.926073
2.081238
1.971209
1.250115
1.248071
0.373213
1.562787
1.086067
0.720996
2.127471
2.09381
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7,645
train
H1
H27
150
150
40
44.666667
38
-0.638272
0.364495
1.261236
1.265204
4.96516
9.282474
5.510824
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1.261236
0.025762
1.600741
0.693366
0.132935
4.694444
4.802641
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7,645
train
H0
H27
200
200
40
37.5
32
0.179359
-0.334439
0.315204
0.315074
1.946314
4.22262
2.296139
0.179359
0.334439
0.238407
0.099272
0.000461
0.111797
1.19348
1.195859
0.341386
7,645
train
H1
H27
200
200
40
42
42.5
2.356001
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15.096775
17.450499
16.498906
2.356001
2.851391
0.000261
1.498971
4.771432
8.164786
0.862022
0.802303
2.958441
7,645
train
H0
H27
300
300
40
37.666667
38.333333
-0.1745
0.319632
-0.121737
-0.121681
0.67036
2.712115
0.866111
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0.319632
0.438172
0.014806
0.009815
0.102126
0.324318
0.357539
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7,645
train
H1
H27
300
300
40
44.333333
39
1.058362
-1.60627
0.01885
0.018848
9.70756
17.850898
11.600812
0.018848
1.60627
0.000472
0.000355
0.718738
2.588936
3.272505
3.351969
1.670669
7,645
train
H0
H27
500
500
40
43.6
40.4
-1.768502
1.807867
1.50278
1.50344
4.123395
14.543163
3.533734
-1.768502
1.807867
0.002252
2.260333
3.535604
3.269825
0.316231
0.389808
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7,645
train
H1
H27
500
500
40
39.4
40.8
2.900711
-3.341085
-1.701061
-1.702828
18.467962
24.570661
20.12799
2.900711
3.341085
0.000019
2.899623
7.05246
11.196874
0.444128
0.430668
3.461858
7,645
train
H0
H27
1,000
1,000
40
39.2
37.5
-0.502091
0.374275
0.814742
0.814516
1.332254
1.835278
1.435559
0.814516
0.814742
0.487834
0.663436
0.337093
0.140072
1.391069
1.411252
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7,645
train
H1
H27
1,000
1,000
40
42.9
40.6
3.696568
-4.335688
-2.065817
-2.071743
33.318968
46.575365
36.932693
3.696568
4.335688
0
4.292121
11.337288
18.882064
1.338281
1.320636
4.506092
7,645
train
H0
H27
20
20
50
45
60
0.243614
0.131428
-0.577622
-0.571819
2.799725
2.855466
2.779619
-0.571819
0.577622
0.249123
0.326977
0.017386
0.01726
1.721072
1.581233
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7,645
train
H1
H27
20
20
50
55
50
0.525707
-0.615899
-0.26083
-0.261582
2.228149
2.34401
2.245356
0.525707
0.615899
0.325407
0.068425
0.213984
0.380048
0.388446
0.37178
0.626767
7,645
train
H0
H27
30
30
50
50
60
0.904202
-0.881838
-0.78695
-0.783971
1.116178
2.258886
1.147658
-0.783971
0.881838
0.367762
0.614611
0.690801
0.776302
0.028109
0.02702
0.900673
7,645
train
H1
H27
30
30
50
63.333333
53.333333
0.411338
-1.234517
0.34164
0.335016
9.054106
12.467383
9.550098
0.335016
1.234517
0.005942
0.112235
0.38812
1.524332
3.350141
3.063388
1.252732
7,645
train
H0
H27
50
50
50
42
48
0.447729
-0.552626
-0.187778
-0.18716
0.901133
0.956409
0.922303
-0.18716
0.552626
0.573113
0.035029
0.18016
0.304644
0.225
0.213013
0.563473
7,645
train
H1
H27
50
50
50
44
46
1.210808
-1.123028
-1.289165
-1.322696
1.833062
2.414405
1.812312
-1.322696
1.289165
0.239776
1.749524
1.435666
1.26163
1.19623
1.116453
1.175546
7,645
train
H0
H27
75
75
50
56
53.333333
-0.660268
0.684878
0.616451
0.614088
0.448699
0.461939
0.451511
0.614088
0.684878
0.475128
0.377104
0.448785
0.468603
0.227306
0.251982
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7,645
train
H1
H27
75
75
50
41.333333
57.333333
1.968774
-2.278959
-1.463069
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7.383197
7.428375
7.339913
1.968774
2.278959
0.018718
2.151327
4.075834
5.207351
0.011414
0.0234
2.351108
7,645
train
H0
H27
100
100
50
47
50
-0.644815
0.709306
0.463348
0.464955
0.789499
0.834244
0.765861
-0.644815
0.709306
0.46562
0.216183
0.415566
0.503142
0.000242
0.000116
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7,645
train
H1
H27
100
100
50
49
46
0.571349
-0.933594
-0.042317
-0.042139
3.173086
6.25319
3.584668
0.571349
0.933594
0.099921
0.001776
0.289566
0.871619
1.096119
1.189653
0.973163
7,645
train
H0
H27
150
150
50
58
48
-1.634564
1.569786
1.6074
1.60549
2.6505
3.691056
2.677917
1.60549
1.6074
0.098588
2.577598
2.472083
2.464658
1.469338
1.447044
-1.651738
7,645
train
H1
H27
150
150
50
45.333333
52
2.112901
-2.351037
-1.48139
-1.481251
9.215868
15.856269
10.017894
-1.481251
2.351037
0.001214
2.194105
3.828499
5.545489
0.033903
0.043769
2.41723
7,645
train
H0
H27
200
200
50
50.5
46.5
-0.493783
0.420325
0.631911
0.630089
0.599993
0.664244
0.590377
0.630089
0.631911
0.662117
0.397012
0.266282
0.17654
0.684043
0.617262
-0.436993
7,645
train
H1
H27
200
200
50
46.5
53
3.010895
-3.453291
-2.24829
-2.254663
13.518885
19.330638
14.535494
3.010895
3.453291
0.000234
5.083505
8.882181
12.017751
0.075159
0.074613
3.617363
7,645
train
H0
H27
300
300
50
54
51.333333
-0.257373
0.300804
0.217926
0.218036
0.081285
0.135587
0.084578
0.218036
0.300804
0.753195
0.04754
0.074033
0.090439
0.018058
0.015153
-0.314429
7,645
train
H1
H27
300
300
50
51.333333
49.666667
0.904341
-1.609793
0.141209
0.141141
14.006911
18.239621
15.134152
0.141141
1.609793
0.000393
0.019921
0.730061
2.59288
4.766408
4.731844
1.686182
7,645
train
H0
H27
500
500
50
51.4
44.2
-1.572198
1.450978
1.641012
1.641239
2.695125
2.696817
2.695497
-1.572198
1.641012
0.134022
2.693664
2.447395
2.104934
2.054287
2.067108
-1.498429
7,645
train
H1
H27
500
500
50
53.8
48.2
1.55774
-2.135298
-0.637343
-0.643142
13.229295
36.585589
15.075904
-0.643142
2.135298
0
0.413631
1.908975
4.573712
2.115619
2.138494
2.243475
7,645
train
H0
H27
1,000
1,000
50
48.2
52.3
1.943716
-1.782803
-2.046784
-2.047638
4.240066
5.000484
4.219203
-2.047638
2.046784
0.064942
4.192822
3.477279
3.178602
3.17532
3.233508
1.845655
7,645
train
H1
H27
1,000
1,000
50
51.4
46.7
1.884721
-2.934782
-0.153787
-0.154014
38.467132
53.664345
41.658283
-0.154014
2.934782
0
0.02372
3.024266
8.632781
10.467092
10.519185
3.078074