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
int64
0
50
real_perc1
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95
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95
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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
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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
2
train
H0
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train
H1
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train
H0
H01
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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
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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
H01
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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
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train
H0
H01
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train
H1
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train
H0
H01
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train
H1
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train
H0
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train
H1
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train
H0
H01
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train
H1
H01
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train
H0
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train
H1
H01
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train
H0
H01
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20
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train
H1
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50
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train
H0
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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
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train
H1
H01
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train
H0
H01
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train
H1
H01
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train
H0
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0.382566
0.420323
0.726926
2
train
H1
H01
300
300
30
29.666667
28.666667
3.176972
-3.383842
-1.959395
-1.969376
18.002055
17.413237
18.176688
3.176972
3.383842
0.000113
3.878442
8.472327
11.507427
0.0277
0.014614
3.469731
2
train
H0
H01
500
500
30
33.2
27.6
-1.499075
1.530311
1.430563
1.429343
2.138454
3.287445
2.253828
-1.499075
1.530311
0.118085
2.043021
2.119852
2.34211
0.93355
0.955711
-1.562863
2
train
H1
H01
500
500
30
30.8
26
1.008077
-1.340405
0.582209
0.582925
17.01717
18.411741
18.722327
0.582925
1.340405
0.000086
0.339801
0.282025
1.798795
7.217746
7.109453
1.371353
2
train
H0
H01
1,000
1,000
30
30.5
28.4
-0.089174
0.073889
0.183519
0.183488
0.072251
0.12032
0.084112
0.183488
0.183519
0.939564
0.033668
0.023705
0.005459
0.082792
0.075143
-0.075818
2
train
H1
H01
1,000
1,000
30
29.9
30.3
3.648138
-3.808903
-2.625062
-2.633653
15.824602
25.927187
18.394968
3.648138
3.808903
0.00001
6.936129
10.544998
14.538249
0.286504
0.270811
3.901269
2
train
H0
H01
20
20
40
40
45
-0.240237
0.254158
-0.041332
-0.040827
1.060482
1.965032
0.9682
-0.040827
0.254158
0.579696
0.001667
0.021993
0.064193
0.209198
0.173464
-0.28683
2
train
H1
H01
20
20
40
30
30
1.441889
-1.39524
-1.461674
-1.515821
2.299059
6.022924
2.300457
-1.515821
1.461674
0.1105
2.297714
2.093753
1.992783
1.277517
1.199122
1.427086
2
train
H0
H01
30
30
40
43.333333
46.666667
0.49937
-0.207301
-0.849456
-0.846983
1.803783
5.838933
2.016345
-0.846983
0.849456
0.119715
0.71738
0.30898
0.042946
1.471829
1.57167
0.252515
2
train
H1
H01
30
30
40
50
40
0.417427
-0.735386
0.144011
0.142617
4.431714
4.720916
4.286524
0.417427
0.735386
0.117272
0.02034
0.21206
0.540311
1.208968
0.94413
0.772919
2
train
H0
H01
50
50
40
30
44
0.419838
-0.420527
-0.541322
-0.537843
0.480391
5.314515
0.367956
-0.537843
0.541322
0.150163
0.289275
0.152401
0.176355
0.29809
0.233439
0.443061
2
train
H1
H01
50
50
40
46
52
1.030578
-1.20837
-0.733805
-0.73696
2.537532
2.573367
2.528424
-0.73696
1.20837
0.211737
0.54311
1.045063
1.464587
0.01828
0.019186
1.248805
2
train
H0
H01
75
75
40
37.333333
38.666667
0.53813
-0.251822
-1.159888
-1.171446
5.035972
5.11535
4.942304
-1.171446
1.159888
0.084487
1.372287
0.36664
0.063361
3.842956
3.731163
0.241525
2
train
H1
H01
75
75
40
40
42.666667
0.982487
-1.150001
-0.561532
-0.560275
2.262994
8.480039
2.717164
-0.560275
1.150001
0.037066
0.313909
0.703428
1.326684
0.137392
0.15329
1.176293
2
train
H0
H01
100
100
40
43
37
-1.034729
0.969794
1.128394
1.127289
1.292378
1.297683
1.29152
-1.034729
1.128394
0.316946
1.27078
1.088193
0.939608
1.220435
1.267247
-1.000753
2
train
H1
H01
100
100
40
45
42
-0.307471
0.149374
0.69432
0.694288
2.281667
2.260228
2.246628
0.694288
0.69432
0.3252
0.482035
0.136206
0.022322
1.801033
1.759243
-0.152943
2
train
H0
H01
150
150
40
44
40
-0.968198
0.975731
0.905846
0.905369
1.003753
2.164598
0.942617
0.905369
0.975731
0.313984
0.819693
1.048238
0.952065
0.367099
0.388793
-1.006898
2
train
H1
H01
150
150
40
44.666667
43.333333
1.308601
-1.518636
-0.891947
-0.891325
2.851848
4.707416
3.174229
1.308601
1.518636
0.115556
0.79446
1.682284
2.309994
0.014787
0.025334
1.573702
2
train
H0
H01
200
200
40
37
38
0.122898
-0.22708
0.064309
0.064317
0.327611
0.770905
0.381891
0.122898
0.22708
0.812773
0.004137
0.007053
0.051546
0.178786
0.176973
0.23685
2
train
H1
H01
200
200
40
38.5
38.5
1.979485
-2.274828
-1.148524
-1.150292
8.356871
12.315433
9.220253
1.979485
2.274828
0.006377
1.323171
3.228543
5.190669
0.23118
0.236039
2.356567
2
train
H0
H01
300
300
40
45
41.333333
0.166217
-0.065416
-0.302041
-0.30279
0.279711
0.354059
0.269214
-0.30279
0.302041
0.874059
0.091682
0.015084
0.004279
0.21394
0.22781
0.068482
2
train
H1
H01
300
300
40
38.333333
39
2.471572
-2.635355
-1.901863
-1.911972
7.586195
10.87726
8.189996
2.471572
2.635355
0.0064
3.655635
5.462199
6.964745
0.255927
0.243735
2.726562
2
train
H0
H01
500
500
40
41.2
42.2
-0.88347
0.937593
0.621248
0.620991
1.361142
1.302998
1.35895
-0.88347
0.937593
0.335058
0.385629
0.706712
0.87954
0.000051
0.000314
-0.963977
2
train
H1
H01
500
500
40
44
35
0.129998
-0.49139
0.819276
0.819749
8.694667
10.611753
9.551091
0.819749
0.819276
0.008433
0.671989
0.011609
0.24174
5.235628
5.156464
0.511303
2
train
H0
H01
1,000
1,000
40
39
40.3
0.021222
0.037705
-0.192085
-0.192007
0.219177
1.250372
0.31334
0.021222
0.192085
0.74095
0.036867
0.011833
0.001422
0.181726
0.183108
-0.038379
2
train
H1
H01
1,000
1,000
40
38.4
42.1
4.554824
-4.842395
-3.576265
-3.585718
24.861244
36.527553
26.879952
4.554824
4.842395
0
12.857374
18.654527
23.509172
1.24243
1.172569
5.001444
2
train
H0
H01
20
20
50
55
40
-1.091192
0.930777
1.365385
1.395215
3.49521
4.054102
3.555166
1.395215
1.365385
0.169046
1.946624
1.315798
0.867679
4.326054
4.34293
-0.977912
2
train
H1
H01
20
20
50
65
35
-1.401737
1.316572
1.589871
1.563907
2.675543
2.659664
2.672743
1.563907
1.589871
0.157474
2.445804
2.071222
1.734796
3.14575
3.307045
-1.413618
2
train
H0
H01
30
30
50
50
53.333333
0.3261
-0.519655
0.019271
0.019196
1.944738
1.972476
1.911902
0.019196
0.519655
0.384446
0.000369
0.103136
0.269231
0.827034
0.763561
0.522118
2
train
H1
H01
30
30
50
46.666667
43.333333
1.347811
-1.527052
-1.090829
-1.114695
2.189901
5.311286
2.355362
1.347811
1.527052
0.099097
1.242545
1.827449
2.376069
0.067069
0.060951
1.649246
2
train
H0
H01
50
50
50
64
52
-0.949446
0.732283
1.178692
1.176901
2.510542
4.103187
2.579913
-0.949446
1.178692
0.250535
1.385097
0.955601
0.53576
3.110048
3.30803
-0.775513
2
train
H1
H01
50
50
50
50
38
1.256375
-1.427581
-0.743547
-0.758922
4.706154
4.828158
4.811457
-0.758922
1.427581
0.0902
0.575962
1.349203
2.064192
0.226995
0.201872
1.505259
2
train
H0
H01
75
75
50
53.333333
50.666667
-0.956584
1.179531
0.703348
0.701143
2.220354
4.356782
2.083661
0.701143
1.179531
0.225426
0.491602
1.13828
1.391078
0.013086
0.0017
-1.204393
2
train
H1
H01
75
75
50
44
48
2.058538
-2.230864
-1.620728
-1.634337
5.990645
7.771377
6.273334
-1.634337
2.230864
0.021316
2.671056
3.977845
5.013434
0.131987
0.11519
2.302333
2
train
H0
H01
100
100
50
61
53
-1.052587
0.800361
1.270222
1.274432
2.537274
3.261766
2.478636
1.274432
1.270222
0.289582
1.624177
0.958883
0.640075
2.709261
2.680663
-0.83628
2
train
H1
H01
100
100
50
47
52
2.369354
-2.675706
-1.770255
-1.780641
9.498805
12.668433
9.95646
2.369354
2.675706
0.005287
3.170684
5.385398
7.239644
0.027314
0.032299
2.789032
2
train
H0
H01
150
150
50
49.333333
51.333333
0.779247
-0.821992
-0.712305
-0.711439
0.64297
0.659588
0.638527
-0.711439
0.821992
0.393684
0.506146
0.668193
0.675683
0.106808
0.142892
0.852955
2
train
H1
H01
150
150
50
53.333333
56
2.462617
-2.738288
-2.003761
-2.034824
9.106504
10.456566
9.319984
2.462617
2.738288
0.004066
4.14051
6.135093
7.549816
0.252181
0.265685
2.872978
2
train
H0
H01
200
200
50
53.5
49.5
-0.000695
-0.035729
0.101174
0.101042
0.143533
0.334075
0.163043
0.101042
0.101174
0.921713
0.01021
0.00165
0.001276
0.142818
0.134466
0.036305
2
train
H1
H01
200
200
50
54
51
0.884751
-0.846525
-0.853962
-0.861447
0.746578
10.339788
0.787712
-0.861447
0.853962
0.015888
0.74209
0.542265
0.717944
0.36659
0.348404
0.883993
2
train
H0
H01
300
300
50
53
48
-0.649744
0.621844
0.643257
0.642415
0.420534
0.519614
0.424975
0.642415
0.643257
0.516597
0.412697
0.382677
0.386551
0.284976
0.306226
-0.6486
2
train
H1
H01
300
300
50
46
55.666667
4.332988
-4.434141
-3.887003
-3.922232
20.303196
22.692812
20.676238
4.332988
4.434141
0.000004
15.383906
18.18207
19.83392
4.562703
4.637788
4.611377
2
train
H0
H01
500
500
50
49
52
0.860903
-1.078114
-0.44347
-0.443315
3.295889
3.213858
3.299666
-0.443315
1.078114
0.192082
0.196528
0.717527
1.162413
0.355564
0.350574
1.115486
2
train
H1
H01
500
500
50
50.6
48.6
3.804096
-4.300515
-2.755043
-2.799734
27.059706
27.759877
27.671713
-2.799734
4.300515
0.000001
7.838509
14.170518
18.626755
0.010525
0.017149
4.49072
2
train
H0
H01
1,000
1,000
50
51.5
53
0.229362
-0.005623
-0.486447
-0.486244
1.033855
2.977542
1.18546
-0.486244
0.486447
0.395101
0.236433
0.059022
0.000032
0.840158
0.865149
0.00636
2
train
H1
H01
1,000
1,000
50
51.3
50.2
3.279156
-3.643021
-2.520674
-2.53646
15.907508
29.688126
17.464194
-2.53646
3.643021
0.000002
6.433632
9.546508
13.316122
0.140183
0.136374
3.810161