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
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logrank_test
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BN_GPH_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
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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float64
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
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7,646
train
H1
H12
300
300
0
0
0
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0.712641
0.704152
0.702621
0.545994
0.572505
0.536415
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0.712641
0.4757
0.493677
0.555532
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0.286767
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7,646
train
H0
H12
500
500
0
0
0
-1.09008
1.09008
0.476186
0.47611
1.878149
3.6823
2.087962
0.47611
1.09008
0.275438
0.226681
0.791394
1.188237
0.080472
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7,646
train
H1
H12
500
500
0
0
0
-1.038182
1.038182
1.147748
1.146585
1.394133
1.937325
1.322357
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1.147748
0.298944
1.314657
1.378623
1.077956
0.898726
0.959973
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7,646
train
H0
H12
1,000
1,000
0
0
0
-0.622001
0.622001
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2.49855
3.521289
3.90989
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0.622001
0.141572
0.157209
0.021624
0.386917
1.74413
1.739726
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7,646
train
H1
H12
1,000
1,000
0
0
0
-0.419107
0.419107
1.093368
1.094608
1.533584
8.962778
2.344354
1.094608
1.093368
0.02979
1.198166
0.649374
0.175656
2.197901
2.314926
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7,646
train
H0
H12
20
20
10
20
5
0.473395
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0.247154
0.403247
0.227018
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0.487967
0.615897
0.161671
0.224113
0.238007
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0.501674
7,646
train
H1
H12
20
20
10
5
5
-0.84762
0.832625
0.794648
0.791838
0.691382
1.355954
0.720292
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0.832625
0.396234
0.627008
0.676281
0.690846
0.258925
0.222392
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7,646
train
H0
H12
30
30
10
3.333333
6.666667
-0.254308
0.307844
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3.92181
4.42506
4.413977
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0.709612
0.110032
0.507292
0.019188
0.094787
2.810708
2.77935
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7,646
train
H1
H12
30
30
10
20
6.666667
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0.908272
1.763109
1.784439
5.195536
5.974054
5.563588
1.784439
1.763109
0.061927
3.184221
1.767864
0.826082
5.782935
5.851574
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7,646
train
H0
H12
50
50
10
6
16
0.669576
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3.347659
4.112247
3.082121
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1.288072
0.214154
1.648906
0.738948
0.37806
2.834341
2.603688
0.628639
7,646
train
H1
H12
50
50
10
14
2
-0.23644
0.240717
0.452207
0.448206
0.295869
0.34665
0.327655
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0.452207
0.802755
0.200889
0.133397
0.057799
0.373858
0.330898
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7,646
train
H0
H12
75
75
10
4
5.333333
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0.172265
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0.064114
5.959822
0.409711
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0.172265
0.113581
0.021833
0.005373
0.02964
0.186216
0.286426
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7,646
train
H1
H12
75
75
10
8
6.666667
-0.554085
0.533068
0.879468
0.877172
0.908892
1.298028
1.027622
0.877172
0.879468
0.591484
0.76943
0.541508
0.283718
1.078139
1.126549
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7,646
train
H0
H12
100
100
10
8
8
-1.264624
1.229741
1.309331
1.316939
1.795988
2.289273
1.773114
1.316939
1.309331
0.214846
1.734329
1.68572
1.513672
1.045726
1.199122
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7,646
train
H1
H12
100
100
10
8
11
-0.02394
0.050152
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0.091375
0.86581
0.150857
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0.156262
0.83367
0.024122
0.002392
0.002511
0.085962
0.106982
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7,646
train
H0
H12
150
150
10
10
14.666667
0.430603
-0.401762
-0.781148
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1.037504
1.138588
0.979682
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0.781148
0.612724
0.606049
0.297621
0.161235
0.912163
0.876979
0.406921
7,646
train
H1
H12
150
150
10
11.333333
7.333333
-1.722601
1.680985
2.189199
2.209018
5.336958
6.43492
5.210275
-1.722601
2.189199
0.073893
4.879761
3.683068
2.830681
4.832247
4.693499
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7,646
train
H0
H12
200
200
10
14.5
12.5
-0.987228
0.975835
0.896832
0.893696
0.895972
1.132003
0.974292
0.893696
0.975835
0.32372
0.798692
0.864387
0.951629
0.321562
0.307155
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7,646
train
H1
H12
200
200
10
9.5
12
-0.326634
0.339188
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0.745053
0.885965
0.621456
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0.339188
0.731708
0.001478
0.056204
0.114953
0.1802
0.147127
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7,646
train
H0
H12
300
300
10
9.666667
9.666667
-0.163077
0.182294
-0.102867
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0.422091
1.480014
0.323194
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0.182294
0.686891
0.010547
0.008727
0.033215
0.132507
0.097969
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7,646
train
H1
H12
300
300
10
8.666667
11.666667
0.968849
-1.011474
-0.180502
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2.616689
2.073531
3.194584
0.968849
1.011474
0.202444
0.032487
0.418068
1.023299
0.557277
0.514304
1.02
7,646
train
H0
H12
500
500
10
10.4
9.6
-0.645793
0.617579
0.769769
0.769206
0.661923
3.627993
0.598835
0.769206
0.769769
0.304537
0.591679
0.628253
0.381308
0.487068
0.553556
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7,646
train
H1
H12
500
500
10
10.2
8.6
-1.065645
1.009586
1.826214
1.831681
4.394731
7.470861
4.936467
1.831681
1.826214
0.058312
3.355056
2.019682
1.019659
4.918718
5.15589
-1.017314
7,646
train
H0
H12
1,000
1,000
10
9
9.4
-0.36521
0.385634
-0.092019
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1.447239
1.970674
0.955369
-0.36521
0.385634
0.578516
0.008464
0.093852
0.148686
0.333467
0.324529
-0.388741
7,646
train
H1
H12
1,000
1,000
10
11.2
10.7
-0.0881
0.064642
0.588064
0.588297
1.425898
1.466555
1.259095
0.588297
0.588064
0.532833
0.346093
0.058983
0.004178
1.000526
1.001903
-0.065354
7,646
train
H0
H12
20
20
20
30
20
0.331244
-0.541518
0.598132
0.610146
7.085714
6.976064
7.112719
0.610146
0.598132
0.028543
0.372278
0.002314
0.293906
3.31052
3.109184
0.542803
7,646
train
H1
H12
20
20
20
25
10
-0.286512
0.23794
0.615285
0.602268
1.005171
2.674449
0.787819
-0.286512
0.615285
0.444587
0.362727
0.110726
0.056149
0.891101
0.725328
-0.27657
7,646
train
H0
H12
30
30
20
10
20
-0.365053
0.378015
0.688727
0.693125
1.06556
1.44133
0.937048
-0.365053
0.688727
0.625925
0.480422
0.231408
0.142798
1.046805
0.962847
-0.397796
7,646
train
H1
H12
30
30
20
30
16.666667
-0.601664
0.549264
0.767589
0.759515
0.61662
0.660081
0.642304
-0.601664
0.767589
0.564737
0.576863
0.48067
0.300871
0.583555
0.627682
-0.57582
7,646
train
H0
H12
50
50
20
30
14
0.880364
-0.976117
-0.046235
-0.04673
5.299954
5.355529
5.08939
-0.04673
0.976117
0.078497
0.002184
0.413665
0.958147
1.18552
1.042983
0.991457
7,646
train
H1
H12
50
50
20
26
20
0.354958
-0.439287
0.024163
0.023901
0.602351
1.479641
0.854889
0.354958
0.439287
0.652173
0.000571
0.031168
0.193086
0.262392
0.33931
0.447088
7,646
train
H0
H12
75
75
20
16
24
1.209067
-1.283095
-0.830634
-0.82584
1.915267
2.185041
1.966019
1.209067
1.283095
0.196237
0.682011
1.308537
1.646015
0.010991
0.011627
1.292346
7,646
train
H1
H12
75
75
20
20
17.333333
-1.291354
1.187869
1.937348
1.98354
5.817854
6.202735
5.945372
1.98354
1.937348
0.051166
3.934433
2.418917
1.414443
6.206404
6.291562
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7,646
train
H0
H12
100
100
20
23
21
-0.616029
0.655094
0.483173
0.480427
0.327701
1.545471
0.41705
-0.616029
0.655094
0.49779
0.23081
0.318109
0.428617
0.046335
0.027423
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7,646
train
H1
H12
100
100
20
16
20
-0.369005
0.419613
0.089549
0.089124
0.379045
0.617996
0.475333
-0.369005
0.419613
0.668341
0.007943
0.075995
0.175852
0.063446
0.063842
-0.428426
7,646
train
H0
H12
150
150
20
19.333333
15.333333
1.156472
-1.067359
-1.768998
-1.812206
5.494496
7.770896
4.941184
-1.812206
1.768998
0.050992
3.284091
1.756977
1.140226
4.813663
4.668425
1.08436
7,646
train
H1
H12
150
150
20
24
22
0.139204
-0.238803
0.55778
0.555907
3.288172
3.760571
2.9625
0.555907
0.55778
0.227353
0.309033
0.000439
0.05697
1.82026
1.695171
0.240817
7,646
train
H0
H12
200
200
20
21.5
23
-1.384948
1.562598
0.385246
0.384811
5.90767
9.24104
6.95592
-1.384948
1.562598
0.026252
0.148079
1.212353
2.446997
1.243872
1.367189
-1.589398
7,646
train
H1
H12
200
200
20
18
16
-1.181116
1.129525
1.486996
1.490279
2.360133
2.399252
2.372862
-1.181116
1.486996
0.248273
2.220931
1.757079
1.276247
2.218937
2.177208
-1.154554
7,646
train
H0
H12
300
300
20
17.666667
17
0.627687
-0.647676
-0.440142
-0.4397
0.337829
0.693263
0.485054
-0.4397
0.647676
0.510071
0.193336
0.261038
0.419718
0.010524
0.007835
0.658727
7,646
train
H1
H12
300
300
20
24.666667
22.666667
0.1354
-0.183335
0.117418
0.117362
0.235594
1.783497
0.395064
0.117362
0.183335
0.618533
0.013774
0.000135
0.033599
0.189432
0.205344
0.186854
7,646
train
H0
H12
500
500
20
20
19.4
0.575224
-0.494811
-1.098853
-1.105331
2.567881
2.808916
2.336474
-1.105331
1.098853
0.310915
1.221756
0.481668
0.244767
2.20609
2.197456
0.500579
7,646
train
H1
H12
500
500
20
21.2
21.4
-0.119807
0.063899
0.534922
0.53447
1.085437
1.024676
1.096533
0.53447
0.534922
0.577951
0.285658
0.065897
0.004082
0.889207
0.845436
-0.064974
7,646
train
H0
H12
1,000
1,000
20
23.6
20.5
-1.650721
1.572403
2.059522
2.061694
4.754968
6.201797
4.584263
-1.650721
2.059522
0.101051
4.250584
3.113603
2.472687
4.279971
4.212354
-1.60819
7,646
train
H1
H12
1,000
1,000
20
20.1
18.2
-0.406036
0.213313
1.579608
1.581077
6.664764
9.721348
8.47179
1.581077
1.579608
0.014467
2.499803
0.764181
0.045514
6.870101
6.957506
-0.217941