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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0
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BN_MCE_test
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143
BN_SCE_test
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Q_test
float64
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MAX_Value_test
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0
10.2
MIN3_test
float64
0
1
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0
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
float64
-8.89
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4
train
H0
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train
H1
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train
H0
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train
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train
H0
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train
H1
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train
H0
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train
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train
H0
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train
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
H11
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20
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
H11
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train
H1
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train
H0
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train
H1
H11
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
H11
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train
H1
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train
H0
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train
H1
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42.1
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train
H0
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20
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train
H1
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train
H0
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train
H1
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30
30
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train
H0
H11
50
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46
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
H11
200
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train
H0
H11
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train
H1
H11
300
300
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0.021594
0.021647
0.260205
0.416807
0.288057
0.021647
0.217409
0.818777
0.000469
0.014822
0.047326
0.052663
0.05186
-0.229118
4
train
H0
H11
500
500
50
53.2
50.6
-1.079526
1.071666
1.008841
1.008261
1.217709
1.492544
1.188939
1.008261
1.071666
0.2658
1.016591
1.205516
1.148485
0.402883
0.412352
-1.112787
4
train
H1
H11
500
500
50
53
53.2
-0.981178
0.829168
1.165933
1.169635
1.662257
3.033012
1.762451
1.169635
1.165933
0.386563
1.368047
1.11335
0.688139
1.851134
1.928621
-0.857962
4
train
H0
H11
1,000
1,000
50
49
50.5
0.80343
-0.833614
-0.658856
-0.658458
0.863227
0.838301
0.865035
-0.658458
0.833614
0.388538
0.433567
0.610211
0.694833
0.025647
0.025334
0.862272
4
train
H1
H11
1,000
1,000
50
49.7
54.5
-0.39919
0.191264
0.804854
0.812242
3.251261
4.921057
3.487052
0.812242
0.804854
0.174903
0.659737
0.254799
0.036663
2.620895
2.606667
-0.185537
4
train
H0
H12
20
20
0
0
0
-1.054953
1.054953
0.351852
0.345596
2.62685
2.667846
2.666444
-1.054953
1.054953
0.263626
0.119436
0.639925
1.11347
0.334178
0.256547
-1.068393
4
train
H1
H12
20
20
0
0
0
1.163154
-1.163154
-1.817826
-1.946793
7.441167
9.38062
7.023823
-1.946793
1.817826
0.024636
3.790003
2.270566
1.356815
6.582042
6.345212
1.177972
4
train
H0
H12
30
30
0
0
0
-1.685424
1.685424
2.081802
2.180766
5.407576
6.499213
5.26847
-1.685424
2.081802
0.071774
4.755742
3.686882
2.86429
5.245519
5.140301
-1.699648
4
train
H1
H12
30
30
0
0
0
0.206982
-0.206982
-0.09301
-0.091237
0.012288
1.143419
0.077959
0.206982
0.206982
0.766604
0.008324
0.009407
0.042718
0.009795
0.033633
0.208729
4
train
H0
H12
50
50
0
0
0
0.034469
-0.034469
-0.656934
-0.652401
1.460768
1.653546
1.685797
-0.652401
0.656934
0.430461
0.425627
0.094007
0.001184
1.186233
1.177298
0.034643
4
train
H1
H12
50
50
0
0
0
-1.28225
1.28225
1.831572
1.873198
3.930431
5.017106
4.221125
1.873198
1.831572
0.12117
3.508871
2.543571
1.647585
4.190794
4.484327
-1.28871
4
train
H0
H12
75
75
0
0
0
0.155987
-0.155987
-0.581251
-0.578072
0.885093
0.952415
0.854845
-0.578072
0.581251
0.652188
0.334168
0.102599
0.024271
0.70238
0.636439
0.155463
4
train
H1
H12
75
75
0
0
0
-0.70852
0.70852
0.319605
0.316743
0.978062
1.032663
0.875229
-0.70852
0.70852
0.480102
0.100326
0.365707
0.501427
0.027536
0.013985
-0.706139
4
train
H0
H12
100
100
0
0
0
0.258999
-0.258999
-0.227673
-0.226174
0.077247
0.171547
0.066957
0.258999
0.258999
0.795134
0.051155
0.074527
0.066951
0.011653
0.007083
0.259649
4
train
H1
H12
100
100
0
0
0
-0.957808
0.957808
0.634703
0.630004
0.860297
2.054807
1.086641
-0.957808
0.957808
0.336949
0.396905
0.69605
0.917764
0.014809
0.00742
-0.960212
4
train
H0
H12
150
150
0
0
0
1.465559
-1.465559
-0.835416
-0.831453
2.716599
2.625663
2.945971
1.465559
1.465559
0.142102
0.691315
1.562147
2.150211
0.000107
0.000557
1.468008
4
train
H1
H12
150
150
0
0
0
1.5614
-1.5614
-1.369654
-1.374639
2.122232
6.933582
2.441001
1.5614
1.5614
0.074045
1.889631
2.183914
2.44067
0.690296
0.612481
1.564009
4
train
H0
H12
200
200
0
0
0
-1.424564
1.424564
1.118334
1.120712
3.033319
6.211664
2.092291
-1.424564
1.424564
0.101754
1.255995
2.191935
2.031448
0.216385
0.2946
-1.426348
4
train
H1
H12
200
200
0
0
0
-0.827752
0.827752
0.824578
0.823298
0.704931
1.872663
0.728834
-0.827752
0.827752
0.407224
0.67782
0.734202
0.685074
0.365117
0.322972
-0.828789
4
train
H0
H12
300
300
0
0
0
1.766296
-1.766296
-1.115414
-1.119036
5.522203
8.850787
3.855196
1.766296
1.766296
0.031342
1.252241
2.924213
3.123397
0.045198
0.073524
1.767769
4
train
H1
H12
300
300
0
0
0
-0.826155
0.826155
0.564112
0.562615
0.736722
1.106574
0.779123
-0.826155
0.826155
0.408325
0.316535
0.582736
0.682842
0.017288
0.013863
-0.826845
4
train
H0
H12
500
500
0
0
0
0.293652
-0.293652
-0.522542
-0.521759
0.320425
1.033042
0.374373
0.293652
0.522542
0.768912
0.272232
0.163531
0.086198
0.366609
0.400151
0.293799
4
train
H1
H12
500
500
0
0
0
0.303287
-0.303287
0.539269
0.538789
1.823491
1.441195
2.6961
0.538789
0.539269
0.259746
0.290294
0.01446
0.092025
1.527826
1.487973
0.303438
4
train
H0
H12
1,000
1,000
0
0
0
-2.12775
2.12775
1.07249
1.073272
4.453944
8.01728
6.946539
-2.12775
2.12775
0.031015
1.151913
2.742676
4.531034
0.109352
0.106226
-2.128282
4
train
H1
H12
1,000
1,000
0
0
0
-1.743801
1.743801
2.588669
2.599648
8.040695
9.469074
7.861402
2.599648
2.588669
0.01963
6.758172
4.540029
3.042541
7.730662
7.633028
-1.744237
4
train
H0
H12
20
20
10
10
10
-1.227662
1.264519
0.677049
0.662568
2.226067
2.120164
2.458697
-1.227662
1.264519
0.200965
0.438997
1.041168
1.6081
0.036824
0.015014
-1.278808
4
train
H1
H12
20
20
10
5
15
-0.950007
0.87779
1.348232
1.391102
2.494557
2.576106
2.567736
1.391102
1.348232
0.276964
1.935165
1.270686
0.775855
2.879911
2.956676
-0.913799
4
train
H0
H12
30
30
10
16.666667
10
1.009633
-1.092525
-0.68284
-0.679873
0.970716
5.367826
1.373059
1.009633
1.092525
0.146761
0.462227
0.768575
1.19466
0.016904
0.00179
1.108072
4
train
H1
H12
30
30
10
16.666667
10
-2.403407
2.442561
2.018838
2.084997
5.508816
13.479539
6.073305
-2.403407
2.442561
0.003706
4.347213
5.288394
6.133118
0.723149
0.62042
-2.51055
4
train
H0
H12
50
50
10
6
10
-0.000914
0.007145
-0.178395
-0.176515
0.307733
1.265018
0.149915
-0.000914
0.178395
0.737456
0.031157
0.000004
0.000051
0.104986
0.057453
-0.007934
4
train
H1
H12
50
50
10
8
14
0.945943
-0.935429
-0.752932
-0.74483
1.016044
1.314304
0.938319
0.945943
0.935429
0.339434
0.554772
0.811057
0.873326
0.088298
0.141202
0.955285
4
train
H0
H12
75
75
10
9.333333
16
0.812632
-0.818469
-0.856038
-0.858431
0.751661
2.300069
0.743118
0.812632
0.856038
0.411261
0.736904
0.614617
0.669166
0.47793
0.453411
0.821677
4
train
H1
H12
75
75
10
8
13.333333
-0.288985
0.282244
0.334257
0.332606
0.120646
0.295815
0.110883
-0.288985
0.334257
0.776432
0.110627
0.129299
0.079704
0.10604
0.12188
-0.283972
4
train
H0
H12
100
100
10
11
13
-0.56725
0.578252
0.208486
0.207075
1.179867
2.155893
0.770807
-0.56725
0.578252
0.540688
0.04288
0.286578
0.334051
0.073323
0.036707
-0.585592
4
train
H1
H12
100
100
10
11
15
0.349543
-0.430161
0.48105
0.482976
3.259139
3.931059
3.53064
0.482976
0.48105
0.171132
0.233266
0.003604
0.184949
1.80203
1.824209
0.435902
4
train
H0
H12
150
150
10
14
8.666667
-1.398291
1.441238
0.761537
0.757644
2.995756
2.764726
3.125895
-1.398291
1.441238
0.143997
0.574025
1.444638
2.076741
0.039183
0.024011
-1.461068
4
train
H1
H12
150
150
10
9.333333
12
0.34748
-0.346889
-0.35529
-0.353677
0.133253
0.84364
0.129935
-0.353677
0.35529
0.725315
0.125088
0.091238
0.120215
0.059337
0.045769
0.351364
4
train
H0
H12
200
200
10
12.5
11.5
1.729132
-1.723126
-1.654036
-1.659906
3.024046
3.210477
3.052999
-1.659906
1.723126
0.081419
2.755287
3.0489
2.973654
1.305823
1.276644
1.742513
4
train
H1
H12
200
200
10
9.5
10.5
1.149302
-1.161107
-1.023796
-1.021452
1.151656
2.79708
1.321584
1.149302
1.161107
0.241539
1.043363
1.176712
1.3484
0.354848
0.310468
1.171148
4
train
H0
H12
300
300
10
9.333333
8.333333
0.677049
-0.676398
-0.684807
-0.685325
0.501626
3.914455
0.491247
0.677049
0.684807
0.270851
0.469671
0.354074
0.457383
0.256541
0.221188
0.682032
4
train
H1
H12
300
300
10
8
11.333333
-0.455296
0.418037
0.534727
0.5361
0.464804
8.236638
0.289803
0.5361
0.534727
0.041366
0.287403
0.380537
0.17476
0.22642
0.299323
-0.420333
4
train
H0
H12
500
500
10
9.6
9.4
-0.689111
0.709338
0.311649
0.311323
0.652655
2.280439
0.910907
-0.689111
0.709338
0.474845
0.096922
0.28863
0.503061
0.036963
0.050917
-0.714618
4
train
H1
H12
500
500
10
10.6
8.4
1.378565
-1.402624
-0.776106
-0.776379
2.315031
3.835297
2.876697
1.378565
1.402624
0.15708
0.602765
1.298144
1.967791
0.009192
0.011766
1.414962
4
train
H0
H12
1,000
1,000
10
10.9
10.3
0.168853
-0.156872
-0.506808
-0.506642
1.023804
3.155028
0.646216
0.168853
0.506808
0.368335
0.256686
0.049497
0.024604
0.559575
0.517456
0.158383
4
train
H1
H12
1,000
1,000
10
9.9
9.8
0.780374
-0.78613
-0.667461
-0.667215
0.453373
1.814485
0.612575
-0.667215
0.78613
0.428215
0.445176
0.42475
0.617961
0.130763
0.124584
0.79225