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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float64
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10.1
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float64
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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
2
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
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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
H27
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train
H0
H27
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train
H1
H27
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train
H0
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train
H1
H27
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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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train
H0
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train
H1
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train
H0
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train
H1
H27
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train
H0
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train
H1
H27
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train
H0
H27
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train
H1
H27
150
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train
H0
H27
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train
H1
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200
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train
H0
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train
H1
H27
300
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train
H0
H27
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train
H1
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train
H0
H27
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train
H1
H27
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train
H0
H27
20
20
40
40
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train
H1
H27
20
20
40
30
40
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train
H0
H27
30
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train
H1
H27
30
30
40
60
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train
H0
H27
50
50
40
48
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train
H1
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train
H0
H27
75
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train
H1
H27
75
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train
H0
H27
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train
H1
H27
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train
H0
H27
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train
H1
H27
150
150
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train
H0
H27
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200
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39
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train
H1
H27
200
200
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43
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train
H0
H27
300
300
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train
H1
H27
300
300
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37.333333
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1.19709
-1.596473
-0.025992
-0.025939
9.719308
12.976924
11.416881
1.19709
1.596473
0.003318
0.000673
0.906038
2.55184
3.082279
3.122105
1.648159
2
train
H0
H27
500
500
40
38.6
36.4
-0.35709
0.302816
0.476594
0.476123
0.25539
1.728901
0.313027
0.476123
0.476594
0.630528
0.226693
0.207281
0.091671
0.34541
0.359801
-0.312412
2
train
H1
H27
500
500
40
40.6
42
2.211127
-2.589892
-1.273616
-1.27376
10.711466
21.944417
12.600151
2.211127
2.589892
0.000067
1.622464
3.792107
6.724711
0.388628
0.395774
2.682487
2
train
H0
H27
1,000
1,000
40
38.2
42.4
1.284632
-1.230358
-1.283758
-1.282771
1.676672
1.777025
1.68689
-1.282771
1.283758
0.205543
1.6455
1.589749
1.513594
0.915085
0.870066
1.265916
2
train
H1
H27
1,000
1,000
40
40.1
39.5
2.561829
-3.102579
-1.391002
-1.391697
12.914915
45.400854
16.920762
2.561829
3.102579
0
1.936821
4.931795
9.646116
0.703228
0.761396
3.220332
2
train
H0
H27
20
20
50
55
60
0.003772
0.058359
-0.020979
-0.020715
0.004762
0.011241
0.00495
0.003772
0.058359
0.952454
0.000429
0.001147
0.003386
0.020186
0.025015
-0.059626
2
train
H1
H27
20
20
50
50
55
1.238306
-1.400501
-0.974131
-0.988458
3.126015
3.367693
3.090575
1.238306
1.400501
0.140313
0.97705
1.550335
1.979128
0.002138
0.006823
1.474626
2
train
H0
H27
30
30
50
46.666667
56.666667
0.373053
-0.165553
-0.615851
-0.612829
1.431661
2.069164
1.373574
-0.612829
0.615851
0.50319
0.375559
0.101043
0.027328
0.898483
0.735297
0.199581
2
train
H1
H27
30
30
50
43.333333
53.333333
1.997392
-2.153677
-1.616617
-1.635257
5.964096
5.995298
5.933416
1.997392
2.153677
0.024775
2.674065
4.012295
4.710883
0.165892
0.255319
2.24489
2
train
H0
H27
50
50
50
44
46
0.523109
-0.705604
-0.171648
-0.171099
1.621344
7.546917
1.913593
0.523109
0.705604
0.056365
0.029275
0.181012
0.49807
0.4029
0.44195
0.719971
2
train
H1
H27
50
50
50
50
50
0.643147
-0.890129
-0.167118
-0.166005
3.669401
4.241141
3.847005
-0.166005
0.890129
0.146094
0.027558
0.331055
0.790791
0.966674
0.929335
0.925512
2
train
H0
H27
75
75
50
52
50.666667
0.005773
-0.00473
0.083076
0.082706
0.140456
0.362915
0.122494
0.082706
0.083076
0.940591
0.00684
0.000051
0.000022
0.124866
0.10935
0.002968
2
train
H1
H27
75
75
50
48
56
1.587739
-1.822527
-1.220175
-1.217992
3.876305
5.829407
4.106821
1.587739
1.822527
0.054561
1.483506
2.435338
3.320885
0.011745
0.016075
1.922358
2
train
H0
H27
100
100
50
48
44
-0.736849
0.712756
0.635208
0.632329
0.639983
0.744352
0.619251
-0.736849
0.712756
0.464034
0.399839
0.510949
0.507559
0.126487
0.150774
-0.73222
2
train
H1
H27
100
100
50
49
44
0.426257
-0.717555
0.083882
0.083995
3.274525
8.910042
3.690184
0.083995
0.717555
0.030511
0.007055
0.09572
0.514632
1.284754
1.321442
0.763327
2
train
H0
H27
150
150
50
42
52
1.519378
-1.417816
-1.584366
-1.580901
2.500618
4.653931
2.501093
-1.580901
1.584366
0.142827
2.499248
2.434401
2.008919
1.667772
1.828303
1.465346
2
train
H1
H27
150
150
50
60.666667
49.333333
-0.113895
-0.42673
0.711373
0.711317
6.132039
9.739724
6.525658
0.711317
0.711373
0.020913
0.505972
0.006153
0.182358
3.921397
3.903355
0.450586
2
train
H0
H27
200
200
50
44.5
44.5
1.262975
-1.358563
-1.017782
-1.021205
2.179669
2.163473
2.170041
1.262975
1.358563
0.161866
1.042861
1.570637
1.847566
0.07528
0.083992
1.398824
2
train
H1
H27
200
200
50
47
54
3.005593
-3.381796
-2.276114
-2.281852
14.98718
15.140586
15.088324
3.005593
3.381796
0.000367
5.206851
9.073879
11.501615
0.135373
0.156926
3.56274
2
train
H0
H27
300
300
50
50.666667
51.666667
-0.499929
0.542354
0.396504
0.396173
0.430627
1.41724
0.378422
0.396173
0.542354
0.572275
0.156953
0.291942
0.294144
0.010806
0.019215
-0.564704
2
train
H1
H27
300
300
50
53.333333
55
2.275008
-2.934191
-1.462404
-1.463409
13.194706
18.039805
14.008083
-1.463409
2.934191
0.000432
2.141565
5.411313
8.638098
0.359979
0.32713
3.088987
2
train
H0
H27
500
500
50
49.6
45.6
-0.341892
0.397098
0.244677
0.244877
0.179367
1.211246
0.224089
0.244877
0.397098
0.682039
0.059965
0.088624
0.157676
0.000486
0.000226
-0.409682
2
train
H1
H27
500
500
50
50.2
49
1.241743
-1.889141
-0.260896
-0.261029
12.348254
25.783913
13.937339
1.241743
1.889141
0.000011
0.068136
1.273918
3.576342
3.105986
3.13911
1.979181
2
train
H0
H27
1,000
1,000
50
48
53.3
1.765536
-1.336909
-2.312434
-2.311471
9.089695
10.365402
8.785196
-2.311471
2.312434
0.012369
5.342897
2.775742
1.787243
8.608957
8.413752
1.384672
2
train
H1
H27
1,000
1,000
50
48.8
49.9
4.552679
-5.42509
-3.075311
-3.089105
40.990285
61.306428
44.227522
4.552679
5.42509
0
9.542571
19.577284
29.546455
0.175898
0.182519
5.714032
2
train
H0
H28
20
20
0
0
0
-0.216401
0.216401
0.664581
0.656976
1.027913
1.149531
1.090536
0.656976
0.664581
0.579686
0.431618
0.166378
0.04641
1.120892
1.129098
-0.219158
2
train
H1
H28
20
20
0
0
0
-0.513952
0.513952
0.374094
0.366331
0.418268
1.316649
0.296535
-0.513952
0.513952
0.602716
0.134198
0.258044
0.262021
0.032781
0.093487
-0.520499
2
train
H0
H28
30
30
0
0
0
0.813143
-0.813143
-0.309567
-0.306977
1.74728
2.080935
1.412498
0.813143
0.813143
0.412213
0.094235
0.476946
0.661202
0.088835
0.045392
0.820005
2
train
H1
H28
30
30
0
0
0
-0.206982
0.206982
0.828482
0.824154
1.571185
1.979009
1.926886
-0.206982
0.828482
0.381577
0.67923
0.268137
0.042804
1.762821
1.832522
-0.208729
2
train
H0
H28
50
50
0
0
0
2.405943
-2.405943
-2.793341
-2.966745
9.60222
12.481467
9.290407
-2.966745
2.793341
0.005903
8.801577
7.055712
5.861383
8.103582
7.944963
2.418064
2
train
H1
H28
50
50
0
0
0
0.882409
-0.882409
-1.247891
-1.259796
2.205834
5.493499
1.865017
0.882409
1.247891
0.139028
1.587086
0.971024
0.776714
1.707192
1.543194
0.886854
2
train
H0
H28
75
75
0
0
0
0.280025
-0.280025
-0.048684
-0.048182
0.231267
0.227635
0.236504
-0.048182
0.280025
0.78018
0.002321
0.040271
0.078239
0.054686
0.040651
0.279084
2
train
H1
H28
75
75
0
0
0
-1.753447
1.753447
1.117326
1.117293
4.14596
4.537495
3.842901
-1.753447
1.753447
0.080542
1.248343
2.515098
3.090611
0.006996
0.033809
-1.747553
2
train
H0
H28
100
100
0
0
0
0.29565
-0.29565
-0.151335
-0.150837
0.402156
2.906694
0.135834
-0.150837
0.29565
0.406236
0.022752
0.102513
0.087254
0.003699
0.000203
0.296392
2
train
H1
H28
100
100
0
0
0
2.096428
-2.096428
-1.620938
-1.618362
4.154445
4.625485
4.59986
2.096428
2.096428
0.035581
2.619095
3.711918
4.412957
0.512242
0.509324
2.101688
2
train
H0
H28
150
150
0
0
0
-0.187687
0.187687
-0.151499
-0.150732
0.394787
0.343618
0.438501
-0.187687
0.187687
0.803121
0.02272
0.002677
0.035187
0.184675
0.168399
-0.188001
2
train
H1
H28
150
150
0
0
0
1.777041
-1.777041
-1.825636
-1.832747
3.386178
3.56676
3.490314
1.777041
1.825636
0.075074
3.358963
3.174192
3.162369
1.946033
1.934167
1.78001
2
train
H0
H28
200
200
0
0
0
-0.928951
0.928951
1.025055
1.023634
1.063547
1.426932
1.053783
-0.928951
1.025055
0.352312
1.047827
0.997126
0.862599
0.7477
0.831803
-0.930114
2
train
H1
H28
200
200
0
0
0
0.16088
-0.16088
0.351499
0.350472
0.691528
1.843604
1.010118
0.350472
0.351499
0.60347
0.122831
0.005874
0.025867
0.621541
0.686811
0.161081
2
train
H0
H28
300
300
0
0
0
1.421986
-1.421986
-1.247102
-1.248724
2.176821
3.763145
2.022899
1.421986
1.421986
0.154686
1.559311
1.98834
2.022453
0.541118
0.627587
1.423172
2
train
H1
H28
300
300
0
0
0
0.294854
-0.294854
-0.703942
-0.706415
1.90035
4.320586
0.932978
0.294854
0.703942
0.228863
0.499022
0.080622
0.086955
0.913938
0.845788
0.2951
2
train
H0
H28
500
500
0
0
0
-0.127008
0.127008
0.874794
0.874451
1.657749
4.079021
2.386459
0.874451
0.874794
0.253057
0.764665
0.242434
0.016128
1.968911
2.071005
-0.127072
2
train
H1
H28
500
500
0
0
0
-1.000737
1.000737
1.427032
1.427798
2.054047
4.977465
2.267762
1.427798
1.427032
0.173455
2.038608
1.90342
1.002109
2.125189
2.254881
-1.001237
2
train
H0
H28
1,000
1,000
0
0
0
0.312084
-0.312084
0.080478
0.080553
1.650178
6.29307
0.599518
0.080553
0.312084
0.09819
0.006489
0.102845
0.097382
0.20824
0.181976
0.312162
2
train
H1
H28
1,000
1,000
0
0
0
0.918907
-0.918907
-0.999269
-1.002245
1.692213
14.40286
1.013669
0.918907
0.999269
0.002405
1.004495
0.480007
0.844737
0.697988
0.648572
0.919137