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
real_perc1
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95
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float64
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10.1
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logrank_test
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CoxMantel_test
float64
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7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
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10.1
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
-8.89
10.7
7
train
H0
H21
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train
H1
H21
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train
H0
H21
30
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train
H1
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30
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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
H21
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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
H21
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train
H1
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train
H0
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train
H1
H21
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train
H0
H21
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40
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train
H1
H21
20
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train
H0
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train
H1
H21
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train
H0
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train
H1
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train
H0
H21
75
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36
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train
H1
H21
75
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train
H0
H21
100
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train
H1
H21
100
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train
H0
H21
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train
H1
H21
150
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train
H0
H21
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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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20
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train
H1
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20
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train
H0
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train
H1
H21
30
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train
H0
H21
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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
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train
H0
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train
H1
H21
300
300
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52.333333
50
-0.779849
0.830084
0.599593
0.600176
1.023305
1.432858
0.966077
0.600176
0.830084
0.384023
0.360211
0.612787
0.689001
0.001784
0.014482
-0.870509
7
train
H0
H21
500
500
50
47.6
49.6
0.691624
-0.929432
-0.265212
-0.265132
2.272728
3.858017
2.527623
-0.265132
0.929432
0.27721
0.070295
0.400127
0.863944
0.423497
0.434988
0.985395
7
train
H1
H21
500
500
50
49.2
55
1.905001
-1.735053
-2.070623
-2.071031
4.477886
4.717938
4.45824
-2.071031
2.070623
0.068138
4.289171
3.536444
3.010337
3.664569
3.661237
1.824096
7
train
H0
H21
1,000
1,000
50
48.9
51.6
0.977092
-0.918255
-1.028491
-1.027875
1.062031
1.147909
1.060317
0.977092
1.028491
0.336159
1.056528
0.95745
0.843108
0.777121
0.723407
0.961782
7
train
H1
H21
1,000
1,000
50
49.4
49.6
0.172517
-0.081156
-0.293301
-0.293067
0.260475
0.267727
0.26413
0.172517
0.293301
0.876284
0.085888
0.03358
0.006578
0.231532
0.19782
0.085297
7
train
H0
H22
20
20
0
0
0
-0.459852
0.459852
0.449842
0.438761
0.200642
0.648141
0.21499
-0.459852
0.459852
0.641423
0.192511
0.201205
0.209534
0.136656
0.111808
-0.46571
7
train
H1
H22
20
20
0
0
0
-2.028757
2.028757
1.801256
1.834096
4.137032
4.234873
4.19265
-2.028757
2.028757
0.039917
3.363908
4.025883
4.192286
1.021355
1.157569
-2.054602
7
train
H0
H22
30
30
0
0
0
0.857497
-0.857497
-0.78364
-0.772351
0.671291
1.355724
0.736113
0.857497
0.857497
0.387185
0.596526
0.683731
0.734378
0.198852
0.165989
0.864733
7
train
H1
H22
30
30
0
0
0
-0.842712
0.842712
0.836226
0.827711
0.686103
2.78242
0.73999
-0.842712
0.842712
0.395423
0.685106
0.639109
0.707612
0.448684
0.364689
-0.849824
7
train
H0
H22
50
50
0
0
0
-1.482171
1.482171
1.982034
2.032224
4.603221
4.72733
4.67068
-1.482171
1.982034
0.096778
4.129934
3.067657
2.203131
4.723181
4.814923
-1.489638
7
train
H1
H22
50
50
0
0
0
-1.275357
1.275357
1.177082
1.172106
1.49486
2.946718
1.639168
-1.275357
1.275357
0.199919
1.373833
1.504935
1.627263
0.604997
0.542361
-1.281782
7
train
H0
H22
75
75
0
0
0
-0.02819
0.02819
0.148079
0.147064
0.172226
1.540268
0.064362
0.147064
0.148079
0.673008
0.021628
0.000663
0.000792
0.070698
0.040107
-0.028096
7
train
H1
H22
75
75
0
0
0
-0.276266
0.276266
0.397772
0.394078
0.182479
0.27806
0.174246
-0.276266
0.397772
0.783057
0.155297
0.105529
0.07618
0.201331
0.178315
-0.275338
7
train
H0
H22
100
100
0
0
0
1.830098
-1.830098
-1.634356
-1.634911
3.401958
3.623526
3.365498
1.830098
1.830098
0.066552
2.672934
3.345817
3.359695
1.020061
1.031386
1.834691
7
train
H1
H22
100
100
0
0
0
-1.563769
1.563769
1.886494
1.902119
3.648658
3.654852
3.666641
1.902119
1.886494
0.116953
3.618058
3.058225
2.448421
3.144925
3.165029
-1.567693
7
train
H0
H22
150
150
0
0
0
-0.340766
0.340766
0.027619
0.027484
0.605506
0.773219
0.411644
-0.340766
0.340766
0.732851
0.000755
0.079019
0.115972
0.076418
0.058783
-0.341335
7
train
H1
H22
150
150
0
0
0
-0.299501
0.299501
-0.070722
-0.070712
0.983491
3.993517
0.555167
-0.070712
0.299501
0.262165
0.005
0.047968
0.089613
0.174476
0.124211
-0.300002
7
train
H0
H22
200
200
0
0
0
0.9376
-0.9376
-0.036679
-0.036613
3.219842
2.871636
3.385601
0.9376
0.9376
0.184003
0.001341
0.361277
0.878957
0.79225
0.72751
0.938774
7
train
H1
H22
200
200
0
0
0
0.16434
-0.16434
-0.734989
-0.733629
1.304251
1.170766
1.463062
-0.733629
0.734989
0.481172
0.538211
0.171803
0.026986
1.203377
1.156752
0.164545
7
train
H0
H22
300
300
0
0
0
1.523253
-1.523253
-1.462005
-1.462303
2.296525
3.687928
2.399325
-1.462303
1.523253
0.127378
2.138329
2.344234
2.321717
1.013742
0.959779
1.524524
7
train
H1
H22
300
300
0
0
0
-1.844955
1.844955
2.98515
3.03526
11.77413
12.505683
12.200771
3.03526
2.98515
0.002242
9.212801
5.647525
3.408601
12.208945
12.266157
-1.846494
7
train
H0
H22
500
500
0
0
0
-0.088249
0.088249
0.466911
0.466669
0.972477
1.584147
0.62579
0.466669
0.466911
0.66299
0.21778
0.025879
0.007785
0.534282
0.497527
-0.088293
7
train
H1
H22
500
500
0
0
0
-3.238927
3.238927
2.471554
2.475163
10.823204
10.467455
10.979076
-3.238927
3.238927
0.001193
6.126434
9.255675
10.516772
0.930178
0.997989
-3.240547
7
train
H0
H22
1,000
1,000
0
0
0
0.417558
-0.417558
-0.488743
-0.488448
0.26824
0.58145
0.238725
-0.488448
0.488743
0.676194
0.238581
0.25823
0.174327
0.176937
0.174318
0.417663
7
train
H1
H22
1,000
1,000
0
0
0
0.209941
-0.209941
0.441277
0.441097
1.238564
2.265277
1.607214
0.209941
0.441277
0.447711
0.194567
0.002194
0.044093
0.918298
0.947987
0.209993
7
train
H0
H22
20
20
10
10
10
-0.230724
0.237606
0.060754
0.060133
0.270509
1.054685
0.17272
-0.230724
0.237606
0.788023
0.003616
0.042007
0.056084
0.002933
0.000048
-0.245476
7
train
H1
H22
20
20
10
10
5
-0.043055
0.04229
0.599282
0.592174
1.719675
1.797689
1.635776
-0.043055
0.599282
0.441363
0.35067
0.065882
0.001776
1.420519
1.304862
-0.05753
7
train
H0
H22
30
30
10
16.666667
16.666667
0.369551
-0.33486
-0.758124
-0.757631
1.320738
1.395946
1.274118
-0.757631
0.758124
0.528845
0.574004
0.245794
0.106445
1.003607
0.894361
0.345095
7
train
H1
H22
30
30
10
10
16.666667
0.384496
-0.330857
-1.097357
-1.100157
3.524419
3.511271
3.450535
-1.100157
1.097357
0.178125
1.210345
0.43214
0.10924
2.668426
2.518033
0.360738
7
train
H0
H22
50
50
10
10
10
1.385276
-1.438755
-0.360961
-0.360778
6.251332
6.420655
6.263321
1.385276
1.438755
0.043645
0.130161
1.104212
2.07903
0.708081
0.628339
1.44639
7
train
H1
H22
50
50
10
10
12
-1.56373
1.588796
1.42629
1.430114
2.331887
2.654258
2.465027
1.430114
1.588796
0.098257
2.045227
2.363175
2.549776
0.77771
0.779007
-1.653361
7
train
H0
H22
75
75
10
17.333333
6.666667
1.747643
-1.77494
-1.293562
-1.304394
3.465572
3.806441
3.448377
-1.304394
1.77494
0.071233
1.701445
2.772455
3.163111
0.231961
0.248938
1.80399
7
train
H1
H22
75
75
10
13.333333
9.333333
-2.264399
2.272042
2.008485
2.018549
5.271401
5.591075
5.157647
-2.264399
2.272042
0.020665
4.074539
4.994414
5.191779
1.289042
1.584302
-2.314057
7
train
H0
H22
100
100
10
8
9
-0.603904
0.557379
0.830108
0.831828
0.727235
0.69882
0.782509
0.831828
0.830108
0.572635
0.691938
0.535969
0.310602
0.772137
0.735586
-0.564176
7
train
H1
H22
100
100
10
9
8
-0.231391
0.236756
-0.053689
-0.053425
0.512703
0.89232
0.365555
-0.053425
0.236756
0.808833
0.002854
0.026966
0.056533
0.09963
0.077772
-0.241931
7
train
H0
H22
150
150
10
15.333333
7.333333
0.176659
-0.19291
-0.172006
-0.172119
0.105091
3.233501
0.032262
0.176659
0.19291
0.357006
0.029625
0.00719
0.036912
0.010019
0.001508
0.197862
7
train
H1
H22
150
150
10
6.666667
8.666667
-0.460557
0.457797
0.490905
0.488713
0.261175
2.085191
0.242554
-0.460557
0.490905
0.554915
0.238841
0.178388
0.210022
0.175372
0.131439
-0.464329
7
train
H0
H22
200
200
10
6.5
11
-0.588998
0.652715
-0.46506
-0.46401
4.801021
4.551999
4.900408
-0.588998
0.652715
0.086276
0.215305
0.057714
0.427773
2.334135
2.208132
-0.659693
7
train
H1
H22
200
200
10
8
4.5
1.715726
-1.713176
-1.209596
-1.208659
3.601368
3.747259
3.344176
1.715726
1.713176
0.08291
1.460856
2.631237
2.941849
0.145821
0.183815
1.734046
7
train
H0
H22
300
300
10
11
10.666667
0.29402
-0.275225
-0.239705
-0.239842
0.313202
6.534601
0.088551
-0.239842
0.275225
0.088308
0.057524
0.130119
0.075568
0.01126
0.028048
0.278002
7
train
H1
H22
300
300
10
13
9.333333
-1.793298
1.747065
2.478794
2.495182
7.192374
7.888241
7.158978
2.495182
2.478794
0.02789
6.225935
4.215054
3.056439
7.010006
7.210175
-1.785255
7
train
H0
H22
500
500
10
10
8.6
-0.334766
0.33045
0.590917
0.591163
1.136439
5.287035
0.516133
0.591163
0.590917
0.151946
0.349473
0.08087
0.109613
0.521777
0.464283
-0.336352
7
train
H1
H22
500
500
10
8.2
10.2
-0.843215
0.829738
1.124067
1.125916
1.464964
1.971846
1.383512
1.125916
1.124067
0.401643
1.267688
0.792068
0.688935
1.266193
1.323151
-0.838691
7
train
H0
H22
1,000
1,000
10
10.5
9.3
-1.107873
1.120485
0.77118
0.770235
1.28754
1.342526
1.438484
-1.107873
1.120485
0.256698
0.593263
0.988769
1.256103
0.039139
0.038004
-1.134231
7
train
H1
H22
1,000
1,000
10
9.8
10.5
-1.801968
1.825627
1.400289
1.399884
3.186315
2.828122
3.427382
1.399884
1.825627
0.063571
1.959675
2.727289
3.335255
0.329225
0.3439
-1.855175