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
float64
0
95
real_perc2
float64
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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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8.5
logrank_test
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6.76
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
6
train
H0
H19
20
20
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train
H1
H19
20
20
10
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train
H0
H19
30
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10
10
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train
H1
H19
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10
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train
H0
H19
50
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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
H19
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train
H1
H19
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train
H0
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train
H1
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train
H0
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train
H1
H19
300
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11
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train
H0
H19
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train
H1
H19
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train
H0
H19
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train
H1
H19
1,000
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10
10
9
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train
H0
H19
20
20
20
30
0
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train
H1
H19
20
20
20
10
30
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train
H0
H19
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train
H1
H19
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train
H0
H19
50
50
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20
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train
H1
H19
50
50
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30
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train
H0
H19
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train
H1
H19
75
75
20
10.666667
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train
H0
H19
100
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19
22
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train
H1
H19
100
100
20
22
18
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train
H0
H19
150
150
20
17.333333
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train
H1
H19
150
150
20
14.666667
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train
H0
H19
200
200
20
19
18.5
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train
H1
H19
200
200
20
24
22.5
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train
H0
H19
300
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20
19.333333
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train
H1
H19
300
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20
17.333333
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train
H0
H19
500
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20
21.4
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train
H1
H19
500
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20
19
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train
H0
H19
1,000
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19.3
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train
H1
H19
1,000
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20
20.8
18.3
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train
H0
H19
20
20
30
25
35
0.920734
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train
H1
H19
20
20
30
25
30
0.126996
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train
H0
H19
30
30
30
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train
H1
H19
30
30
30
33.333333
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train
H0
H19
50
50
30
30
24
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train
H1
H19
50
50
30
34
46
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train
H0
H19
75
75
30
34.666667
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train
H1
H19
75
75
30
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train
H0
H19
100
100
30
37
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train
H1
H19
100
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30
35
33
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train
H0
H19
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train
H1
H19
150
150
30
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train
H0
H19
200
200
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26
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train
H1
H19
200
200
30
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train
H0
H19
300
300
30
36.666667
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6
train
H1
H19
300
300
30
29.333333
31
-2.760051
2.818274
2.060189
2.070922
9.543591
9.573295
9.175809
-2.760051
2.818274
0.002917
4.288719
7.011832
7.993517
0.211918
0.28712
-2.976359
6
train
H0
H19
500
500
30
31.4
31
0.659224
-0.67752
-0.506317
-0.505712
0.496214
0.510111
0.505126
0.659224
0.67752
0.475345
0.255745
0.386199
0.454248
0.021231
0.020143
0.71381
6
train
H1
H19
500
500
30
29.8
32.8
-2.469399
2.685885
1.133146
1.135038
14.866305
14.854893
14.667897
-2.469399
2.685885
0.000653
1.288311
4.83971
7.252403
1.262546
1.198157
-2.863139
6
train
H0
H19
1,000
1,000
30
30.3
30.4
-0.214157
0.208023
0.171966
0.171886
0.06941
0.412127
0.049974
0.171886
0.208023
0.824926
0.029545
0.048408
0.044097
0.006603
0.010692
-0.221214
6
train
H1
H19
1,000
1,000
30
28.7
28.4
-3.116719
3.226629
2.348673
2.351135
10.496532
11.62063
11.436143
-3.116719
3.226629
0.000733
5.527836
8.43108
10.438409
0.413108
0.40722
-3.377069
6
train
H0
H19
20
20
40
30
30
-0.211335
0
0.832834
0.865385
5.815347
10.171492
5.326075
0.865385
0.832834
0.017163
0.748891
0.11424
0.000265
2.997396
2.683173
-0.057048
6
train
H1
H19
20
20
40
40
40
-0.419953
0.358316
0.556564
0.550841
0.447934
1.153258
0.47817
0.550841
0.556564
0.680065
0.303425
0.228023
0.139541
0.592382
0.718973
-0.412375
6
train
H0
H19
30
30
40
40
36.666667
-0.891266
0.917475
0.49556
0.489028
2.090255
4.363425
1.773328
-0.891266
0.917475
0.224801
0.239148
0.745993
0.89303
0.131265
0.033
-1.008301
6
train
H1
H19
30
30
40
30
46.666667
-0.669089
0.829657
0.2122
0.211126
1.681557
2.856801
1.90736
0.211126
0.829657
0.366862
0.044574
0.314439
0.701908
0.265662
0.341719
-0.902367
6
train
H0
H19
50
50
40
24
28
1.322694
-1.398043
-1.04139
-1.038461
1.932375
1.884637
1.991367
1.322694
1.398043
0.144684
1.078401
1.581955
1.92739
0.123744
0.136435
1.458568
6
train
H1
H19
50
50
40
36
42
-0.43538
0.485787
0.314954
0.315073
0.252109
0.631904
0.278782
-0.43538
0.485787
0.583464
0.099271
0.17383
0.248367
0.01667
0.009547
-0.548332
6
train
H0
H19
75
75
40
30.666667
40
-0.682271
0.741493
0.397308
0.396631
0.827457
1.189178
0.925716
-0.682271
0.741493
0.42427
0.157316
0.367896
0.559029
0.010127
0.009069
-0.799034
6
train
H1
H19
75
75
40
53.333333
40
-1.296753
1.171243
1.442148
1.439454
2.139644
2.133465
2.139975
-1.296753
1.442148
0.193828
2.072027
1.764017
1.405146
2.114998
2.152568
-1.299339
6
train
H0
H19
100
100
40
34
41
1.285518
-1.189378
-1.414214
-1.420575
2.018306
4.227711
2.041789
-1.420575
1.414214
0.203279
2.018033
1.894336
1.407435
1.511769
1.583231
1.272264
6
train
H1
H19
100
100
40
38
35
-2.56692
2.795186
1.676624
1.685564
10.20863
12.484106
10.997369
-2.56692
2.795186
0.002639
2.841127
5.685379
7.937366
0.122965
0.121037
-3.006931
6
train
H0
H19
150
150
40
43.333333
40
-0.804136
0.680555
1.096028
1.094449
1.690463
1.777999
1.648623
1.094449
1.096028
0.438537
1.197818
0.709909
0.474692
1.754431
1.781012
-0.75098
6
train
H1
H19
150
150
40
39.333333
37.333333
-2.451253
2.633052
2.067009
2.088138
5.679534
10.486061
6.409486
-2.451253
2.633052
0.004564
4.360321
5.5513
7.009857
0.811585
0.769096
-2.83628
6
train
H0
H19
200
200
40
38.5
41
1.000247
-0.798217
-1.463462
-1.470178
3.483081
3.534908
3.442686
-1.470178
1.463462
0.178826
2.161423
1.154551
0.631219
3.278224
3.15847
0.847134
6
train
H1
H19
200
200
40
41
40.5
-1.396701
1.330356
1.597325
1.609582
2.815364
5.087834
2.709497
-1.396701
1.597325
0.148454
2.590755
2.024628
1.790626
2.498834
2.398303
-1.445012
6
train
H0
H19
300
300
40
35.666667
39.333333
-0.186285
0.101159
0.400084
0.400271
0.379372
0.334027
0.433002
0.400271
0.400084
0.805332
0.160217
0.067105
0.011034
0.427421
0.388861
-0.110977
6
train
H1
H19
300
300
40
41.666667
40.666667
-1.529443
1.665414
1.124916
1.124783
2.667847
6.228003
3.172007
-1.529443
1.665414
0.069102
1.265137
1.963289
2.805589
0.037368
0.032329
-1.817753
6
train
H0
H19
500
500
40
38
34.8
-0.388502
0.245493
0.864008
0.86348
2.134443
2.390896
2.013952
0.86348
0.864008
0.365322
0.745597
0.23088
0.061748
1.838035
1.806393
-0.266879
6
train
H1
H19
500
500
40
39.8
42.2
-1.743982
1.898947
1.213347
1.215609
4.484295
4.280001
4.553
-1.743982
1.898947
0.041559
1.477706
2.782929
3.625542
0.001037
0.003504
-2.037904
6
train
H0
H19
1,000
1,000
40
40.3
40
1.12832
-1.175671
-0.723077
-0.723149
2.528134
4.426973
2.096135
1.12832
1.175671
0.205191
0.522944
1.227031
1.375281
0.005877
0.00339
1.266901
6
train
H1
H19
1,000
1,000
40
38.5
38.4
-3.083733
3.264155
2.462744
2.468562
9.739174
17.660742
10.90896
-3.083733
3.264155
0.000458
6.0938
8.563489
10.695054
0.696384
0.663478
-3.504142
6
train
H0
H19
20
20
50
35
35
0.69616
-0.825204
-0.076027
-0.074348
3.486665
4.571564
3.162999
-0.074348
0.825204
0.205667
0.005528
0.324732
0.647373
0.767599
0.559707
0.813897
6
train
H1
H19
20
20
50
45
55
0.861273
-1.036517
-0.491862
-0.490921
3.1625
3.474262
3.077976
0.861273
1.036517
0.214598
0.241003
0.715472
1.030562
0.30561
0.194409
1.098759
6
train
H0
H19
30
30
50
33.333333
60
2.515788
-2.461843
-2.343612
-2.343338
6.520396
7.532697
6.390304
-2.343338
2.461843
0.007113
5.491233
6.213999
5.990904
2.155406
2.493258
2.691495
6
train
H1
H19
30
30
50
60
63.333333
-0.275819
0.475696
0.140019
0.139656
0.457546
2.894765
0.508627
0.139656
0.475696
0.408137
0.019504
0.097708
0.236778
0.013721
0.013862
-0.525965
6
train
H0
H19
50
50
50
44
62
-0.223073
0.573039
-0.427451
-0.425191
4.837229
4.839299
4.935115
-0.425191
0.573039
0.084792
0.180787
0.036606
0.356505
2.494958
2.258809
-0.650247
6
train
H1
H19
50
50
50
62
54
-0.483819
0.193109
0.883075
0.877114
2.136374
3.967356
2.338643
-0.483819
0.883075
0.265011
0.769329
0.24425
0.052427
2.092717
2.291017
-0.282946
6
train
H0
H19
75
75
50
52
54.666667
0.378878
-0.736919
0.073115
0.073171
2.218789
4.048569
2.482756
0.378878
0.736919
0.256267
0.005354
0.141539
0.512955
0.907884
0.949161
0.797796
6
train
H1
H19
75
75
50
48
53.333333
0.518995
-0.52876
-0.45405
-0.450382
0.318127
0.707611
0.28666
0.518995
0.52876
0.575539
0.202844
0.270788
0.262227
0.017568
0.045112
0.559913
6
train
H0
H19
100
100
50
50
58
0.705842
-0.854731
-0.535122
-0.532079
0.586875
4.248764
0.738864
-0.532079
0.854731
0.235825
0.283108
0.41729
0.699786
0.003507
0.000701
0.940087
6
train
H1
H19
100
100
50
59
50
-1.048575
1.361537
0.607835
0.612896
3.310456
7.145026
3.663727
0.612896
1.361537
0.067416
0.375641
1.073206
1.879317
0.344657
0.398604
-1.502986
6
train
H0
H19
150
150
50
50
50.666667
-0.227051
0.250146
0.065422
0.065225
0.390657
1.235717
0.304691
-0.227051
0.250146
0.744451
0.004254
0.055342
0.070502
0.04233
0.026155
-0.293594
6
train
H1
H19
150
150
50
57.333333
52
-2.23183
2.338712
1.915895
1.919935
5.986734
5.963036
5.955925
1.919935
2.338712
0.009761
3.686151
4.982227
5.536539
0.48118
0.526666
-2.584199
6
train
H0
H19
200
200
50
48
51.5
0.045773
0.070053
-0.162041
-0.161451
0.08992
1.066961
0.140283
-0.161451
0.162041
0.785055
0.026066
0.001976
0.006205
0.08322
0.1138
-0.086721
6
train
H1
H19
200
200
50
45
52.5
0.001637
-0.114217
0.276344
0.279109
1.342946
6.473742
1.007938
0.279109
0.276344
0.090704
0.077902
0.004284
0.011485
0.599365
0.518875
0.114973
6
train
H0
H19
300
300
50
55
51.333333
-0.881013
0.982358
0.634909
0.633632
1.2993
1.313067
1.296925
0.633632
0.982358
0.268718
0.401489
0.784306
0.988888
0.000211
0.000254
-1.106021
6
train
H1
H19
300
300
50
48.666667
48.333333
-1.175727
1.129647
1.308266
1.318509
1.938137
6.734641
1.810837
1.318509
1.308266
0.080854
1.738467
1.277142
1.296228
1.657462
1.56084
-1.257456
6
train
H0
H19
500
500
50
46.8
49.8
0.859333
-0.630759
-1.257487
-1.256633
2.73921
2.734374
2.753871
-1.256633
1.257487
0.252351
1.579127
0.771567
0.390574
2.644324
2.671583
0.680434
6
train
H1
H19
500
500
50
47.8
49.4
-4.360384
4.794181
3.098504
3.137844
29.518045
28.935874
29.61815
-4.360384
4.794181
0
9.846065
18.477617
23.310988
0.047071
0.021147
-5.337356
6
train
H0
H19
1,000
1,000
50
48.4
49.7
1.662525
-1.73858
-1.271382
-1.271993
4.106788
5.938761
3.726326
1.662525
1.73858
0.055977
1.617967
2.809499
3.008206
0.074787
0.088926
1.911213
6
train
H1
H19
1,000
1,000
50
49.8
51.2
-4.396481
4.625831
3.683767
3.72645
21.222703
21.335299
21.940367
-4.396481
4.625831
0
13.88643
18.879478
21.573493
1.779388
1.87012
-5.119174