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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20
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perc
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logrank_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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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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0.785963
0.428775
0.501163
0.693419
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0.200447
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7,645
train
H1
H24
300
300
10
8.333333
9.333333
0.641358
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1.261881
6.02144
0.538518
0.641358
0.640738
0.110572
0.166019
0.526194
0.410613
0.00291
0.012092
0.645359
7,645
train
H0
H24
500
500
10
10.6
9
-0.081718
0.026015
1.19504
1.196973
5.34092
7.111499
6.351014
1.196973
1.19504
0.041773
1.432745
0.310189
0.000677
4.62678
4.66142
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7,645
train
H1
H24
500
500
10
9.2
11
-0.093885
0.113192
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1.080611
0.853064
1.220478
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0.410724
0.543221
0.168593
0.016518
0.012815
0.762295
0.724487
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7,645
train
H0
H24
1,000
1,000
10
9.6
9.7
0.28347
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0.366904
0.390049
0.369123
0.28347
0.495643
0.786425
0.245376
0.133262
0.072383
0.350975
0.362797
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7,645
train
H1
H24
1,000
1,000
10
9.7
10.9
1.260203
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2.528685
7.366727
1.59782
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1.259883
0.061084
1.171208
2.01647
1.588165
0.401114
0.4418
1.270604
7,645
train
H0
H24
20
20
20
35
20
-1.465312
1.421001
1.507223
1.508676
2.33595
4.378813
2.290917
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1.507223
0.133269
2.276103
2.378892
2.012756
1.331212
1.783932
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7,645
train
H1
H24
20
20
20
40
5
-1.155707
1.072942
1.825402
1.818567
6.062226
6.64693
5.869814
1.818567
1.825402
0.053136
3.307186
1.924779
1.144595
6.373345
6.104821
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7,645
train
H0
H24
30
30
20
13.333333
20
1.436542
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1.980147
6.208118
2.086395
1.436542
1.386029
0.101912
1.917154
1.811413
1.927032
0.855038
0.757066
1.408182
7,645
train
H1
H24
30
30
20
20
16.666667
1.138962
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1.564038
1.569283
1.56449
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1.24071
0.245243
1.564031
1.496171
1.274319
0.965917
0.987385
1.161981
7,645
train
H0
H24
50
50
20
18
24
0.685259
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1.853871
3.361684
1.630604
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1.058656
0.339149
1.11288
0.568696
0.37909
1.476824
1.316345
0.646069
7,645
train
H1
H24
50
50
20
20
32
0.273455
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1.125368
1.104918
1.106771
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0.630735
0.575
0.390637
0.134362
0.040126
0.875928
0.782578
0.213833
7,645
train
H0
H24
75
75
20
14.666667
17.333333
-0.498099
0.554176
-0.030395
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1.158957
4.406318
1.644751
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0.554176
0.2208
0.000913
0.059812
0.306783
0.44301
0.565935
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7,645
train
H1
H24
75
75
20
18.666667
17.333333
-0.120193
0.068076
0.521509
0.52008
1.302124
2.45493
1.023711
-0.120193
0.521509
0.483491
0.270483
0.032848
0.004623
0.892013
0.77269
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7,645
train
H0
H24
100
100
20
24
14
-0.345623
0.272504
0.94865
0.943474
2.515345
2.449582
2.497301
0.943474
0.94865
0.286892
0.890144
0.295815
0.074108
2.291608
2.214692
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7,645
train
H1
H24
100
100
20
15
23
0.659642
-0.634746
-0.892923
-0.889205
0.912032
0.889606
0.941552
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0.892923
0.518061
0.790686
0.590472
0.402352
0.833772
0.816722
0.646337
7,645
train
H0
H24
150
150
20
18.666667
17.333333
-0.038901
0.011737
0.226072
0.225402
0.149566
0.634055
0.225305
0.225402
0.226072
0.888594
0.050806
0.018809
0.000138
0.199727
0.2173
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7,645
train
H1
H24
150
150
20
18
24
-0.024293
0.093563
-0.391942
-0.390147
1.019671
1.017323
1.067851
-0.390147
0.391942
0.586299
0.152215
0.009736
0.008751
0.674702
0.665334
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7,645
train
H0
H24
200
200
20
21
17.5
-0.276212
0.283524
0.09812
0.098183
0.193204
0.24707
0.227251
-0.276212
0.283524
0.772031
0.00964
0.04209
0.080606
0.020735
0.017478
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7,645
train
H1
H24
200
200
20
16.5
18.5
-0.64561
0.714427
0.156624
0.156382
0.488119
9.308541
1.476955
0.156382
0.714427
0.025458
0.024455
0.097622
0.510848
0.258139
0.321209
-0.725023
7,645
train
H0
H24
300
300
20
19.333333
18.333333
-1.607509
1.689829
0.886691
0.887251
3.940562
6.004955
4.545943
-1.607509
1.689829
0.084703
0.787214
1.870656
2.861717
0.084849
0.086369
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7,645
train
H1
H24
300
300
20
17.333333
18
-0.394112
0.484254
-0.307022
-0.306887
1.51136
10.94731
2.770967
-0.306887
0.484254
0.012014
0.09418
0.000273
0.234586
1.259127
1.331691
-0.489906
7,645
train
H0
H24
500
500
20
20
18.6
-0.194247
0.169274
0.345121
0.345194
0.17129
0.560911
0.211863
-0.194247
0.345121
0.86386
0.119159
0.067428
0.028643
0.217932
0.237384
-0.171462
7,645
train
H1
H24
500
500
20
19
20.2
-1.802072
1.8486
1.320711
1.322359
3.029882
5.489404
3.882495
-1.802072
1.8486
0.060179
1.748633
2.410837
3.420643
0.12505
0.125944
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7,645
train
H0
H24
1,000
1,000
20
18.7
18.1
-0.220929
0.206548
0.324669
0.324514
0.246569
1.809499
0.138335
0.324514
0.324669
0.61287
0.10531
0.031717
0.042653
0.1481
0.135224
-0.209768
7,645
train
H1
H24
1,000
1,000
20
21.9
21.1
-0.148276
0.256059
-0.361475
-0.361669
0.524454
15.157786
1.564923
-0.361669
0.361475
0.001687
0.130805
0.044525
0.065585
0.897359
0.938901
-0.260837
7,645
train
H0
H24
20
20
30
35
15
-1.65801
1.668966
1.555111
1.543286
2.727885
3.02055
2.767209
-1.65801
1.668966
0.077401
2.381733
2.700226
2.800141
0.980761
0.948711
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7,645
train
H1
H24
20
20
30
30
20
0.693635
-0.661118
-0.756298
-0.771243
0.59772
1.238876
0.606416
-0.771243
0.756298
0.480326
0.594816
0.549729
0.435448
0.346653
0.369926
0.705779
7,645
train
H0
H24
30
30
30
26.666667
23.333333
-0.429873
0.412176
0.545407
0.537519
0.37387
1.508434
0.321768
-0.429873
0.545407
0.663989
0.288926
0.180237
0.169262
0.443373
0.386282
-0.434412
7,645
train
H1
H24
30
30
30
16.666667
33.333333
2.035004
-1.913294
-2.378467
-2.50045
7.637756
10.883999
7.397389
2.035004
2.378467
0.01237
6.252249
4.719488
3.692004
6.846986
6.598718
2.007266
7,645
train
H0
H24
50
50
30
32
30
-0.539073
0.622991
0.22589
0.225169
1.208113
2.781539
0.974969
-0.539073
0.622991
0.426548
0.050701
0.297391
0.387211
0.09411
0.051147
-0.642634
7,645
train
H1
H24
50
50
30
34
32
0.155416
-0.198004
-0.083789
-0.083505
0.048496
0.316925
0.063556
0.155416
0.198004
0.838159
0.006973
0.019064
0.039093
0.026549
0.028536
0.20425
7,645
train
H0
H24
75
75
30
33.333333
25.333333
-0.872169
0.841819
0.848296
0.843892
0.741762
1.108434
0.76459
0.843892
0.848296
0.395849
0.712153
0.693983
0.707727
0.437292
0.423209
-0.849057
7,645
train
H1
H24
75
75
30
24
32
0.454102
-0.318182
-1.136162
-1.144451
3.758836
11.468143
4.61387
-1.144451
1.136162
0.009446
1.309769
0.635528
0.101576
3.775531
4.3576
0.303675
7,645
train
H0
H24
100
100
30
25
30
1.304422
-1.370932
-0.876726
-0.872639
2.470255
2.554075
2.525839
1.304422
1.370932
0.158164
0.761499
1.447305
1.882412
0.002578
0.005797
1.411272
7,645
train
H1
H24
100
100
30
26
28
0.851175
-0.847255
-0.934072
-0.931443
0.869705
1.084642
0.868385
0.851175
0.934072
0.385328
0.867587
0.872502
0.717625
0.554004
0.596904
0.86812
7,645
train
H0
H24
150
150
30
30.666667
28
0.479881
-0.548899
-0.151214
-0.150899
1.055784
1.392278
0.915243
0.479881
0.548899
0.573246
0.022771
0.199421
0.301099
0.155197
0.145581
0.563278
7,645
train
H1
H24
150
150
30
36.666667
36
-0.145279
0.169658
-0.012684
-0.012664
0.128553
2.777391
0.254208
-0.145279
0.169658
0.427235
0.00016
0.000047
0.028785
0.061511
0.081208
-0.176074
7,645
train
H0
H24
200
200
30
30
30
-0.106731
0.070769
0.207263
0.207277
0.061732
1.555985
0.105632
0.207277
0.207263
0.669411
0.042964
0.032116
0.005005
0.112577
0.140473
-0.072356
7,645
train
H1
H24
200
200
30
30
25.5
1.417446
-1.442852
-1.079074
-1.084631
2.956679
6.091072
2.435738
1.417446
1.442852
0.107262
1.176424
2.092722
2.089773
0.136251
0.179431
1.476106
7,645
train
H0
H24
300
300
30
30.666667
29.666667
0.248331
-0.278178
-0.123258
-0.123084
0.134219
0.146878
0.152669
0.248331
0.278178
0.775942
0.01515
0.044376
0.076923
0.01721
0.015652
0.284611
7,645
train
H1
H24
300
300
30
29
27.666667
1.705407
-1.560344
-2.143794
-2.172593
5.388956
6.376145
5.56709
-2.172593
2.143794
0.061819
4.72016
3.548144
2.440766
5.348756
5.317345
1.588441
7,645
train
H0
H24
500
500
30
26
29.8
1.930537
-1.914198
-1.806268
-1.807216
3.889296
4.856468
3.728712
1.930537
1.914198
0.049268
3.266029
3.897364
3.664716
1.382885
1.44125
1.966264
7,645
train
H1
H24
500
500
30
31
29.4
0.387985
-0.285845
-0.753096
-0.754023
0.803839
3.990746
1.295746
0.387985
0.753096
0.262465
0.568551
0.463968
0.081818
1.317031
1.302141
0.29147
7,645
train
H0
H24
1,000
1,000
30
30.8
31.4
-1.011842
1.002642
1.031142
1.032816
1.066976
3.790065
1.082879
-1.011842
1.031142
0.285044
1.066708
0.946728
1.005351
0.681911
0.663434
-1.030602
7,645
train
H1
H24
1,000
1,000
30
32.4
31.7
0.000839
0.011065
-0.008139
-0.008141
0.081693
4.98253
0.000453
0.000839
0.011065
0.173081
0.000066
0.026582
0.000122
0.001168
0.000801
-0.012075