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
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real_perc1
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logrank_test
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CoxMantel_test
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7.03
BN_GPH_test
float64
0
109
BN_MCE_test
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143
BN_SCE_test
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Q_test
float64
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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
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10.7
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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7,644
train
H1
H14
300
300
20
23.666667
18
-1.29894
1.228656
1.654982
1.653713
2.872209
4.662329
3.046651
1.653713
1.654982
0.19826
2.734766
2.226228
1.509932
2.965613
3.15777
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7,644
train
H0
H14
500
500
20
20.8
21.4
0.44365
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0.559786
6.257855
0.801578
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0.711489
0.099717
0.506899
0.403036
0.145511
0.770782
0.849325
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7,644
train
H1
H14
500
500
20
18.4
23.2
-1.255468
1.340289
0.657932
0.659065
4.031662
5.9206
3.146222
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1.340289
0.115538
0.434367
1.499659
1.797544
0.113058
0.082748
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7,644
train
H0
H14
1,000
1,000
20
19.9
21.2
1.259702
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1.529515
2.694552
1.623333
1.259702
1.244472
0.20742
1.515509
1.390988
1.54881
0.76661
0.764581
1.26069
7,644
train
H1
H14
1,000
1,000
20
19.6
19.1
0.215819
-0.319426
0.632554
0.633021
4.815463
5.500187
4.320935
0.215819
0.632554
0.115271
0.400715
0.000033
0.102018
2.477742
2.400243
0.32291
7,644
train
H0
H14
20
20
30
30
45
0.150673
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0.618363
1.280582
0.660431
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0.352377
0.718769
0.124664
0.046124
0.005481
0.322412
0.34084
0.083624
7,644
train
H1
H14
20
20
30
35
35
-0.666305
0.758852
0.340561
0.336527
1.585436
1.54231
1.574078
0.336527
0.758852
0.446667
0.11325
0.36522
0.573382
0.064152
0.034641
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7,644
train
H0
H14
30
30
30
30
26.666667
0.951629
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1.143741
1.843378
1.065862
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1.001751
0.308232
0.617831
0.916929
1.002228
0.066329
0.096891
1.01894
7,644
train
H1
H14
30
30
30
33.333333
16.666667
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0.015438
0.717798
0.711664
2.699571
5.775781
3.15243
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0.717798
0.123043
0.506466
0.134436
0.000238
2.304568
2.357869
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7,644
train
H0
H14
50
50
30
36
20
-0.989113
0.888931
1.319958
1.3167
2.234046
2.637754
2.282466
1.3167
1.319958
0.319425
1.733698
1.183356
0.788178
2.583835
2.672934
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7,644
train
H1
H14
50
50
30
24
34
0.02056
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0.179051
0.181302
0.427048
0.566836
0.391696
0.02056
0.179051
0.822137
0.03287
0.000426
0.006139
0.318736
0.300532
0.087713
7,644
train
H0
H14
75
75
30
37.333333
26.666667
-0.922237
0.863132
0.906414
0.901145
0.890951
1.727512
0.854715
0.901145
0.906414
0.377599
0.812063
0.853769
0.743704
0.457716
0.64492
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7,644
train
H1
H14
75
75
30
37.333333
41.333333
0.102741
-0.014654
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0.34356
1.094305
0.401799
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0.277642
0.778449
0.076381
0.02182
0.000214
0.204387
0.228577
0.019188
7,644
train
H0
H14
100
100
30
27
28
0.741832
-0.737936
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0.587566
0.628268
0.571786
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0.743868
0.446664
0.553156
0.634474
0.544505
0.28024
0.254303
0.760989
7,644
train
H1
H14
100
100
30
28
17
-0.867986
0.796221
1.102196
1.094594
1.243109
3.290365
1.320532
1.094594
1.102196
0.348986
1.198137
0.972232
0.632759
1.32829
1.592662
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7,644
train
H0
H14
150
150
30
30
32
-0.316964
0.390741
0.048073
0.048
0.481989
2.826834
0.656746
0.048
0.390741
0.419102
0.002304
0.040736
0.15258
0.124399
0.168754
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7,644
train
H1
H14
150
150
30
28.666667
30
0.038053
-0.204417
0.69136
0.699728
5.828457
9.975849
5.166797
0.699728
0.69136
0.018773
0.489619
0.008087
0.041769
2.987099
2.847395
0.209856
7,644
train
H0
H14
200
200
30
30
33
0.196628
-0.243502
-0.123498
-0.123736
0.059333
0.466547
0.070959
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0.243502
0.802731
0.015311
0.038891
0.059263
0.002368
0.007206
0.249814
7,644
train
H1
H14
200
200
30
21
27
0.977222
-0.946478
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-1.156529
1.433092
1.787759
1.400974
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1.159984
0.336058
1.337559
1.056396
0.895357
1.164483
1.082985
0.961984
7,644
train
H0
H14
300
300
30
31.666667
27.333333
-1.528219
1.406737
1.853045
1.85578
4.072773
6.765525
3.820705
1.85578
1.853045
0.079759
3.44392
2.325061
1.980991
3.69699
3.607414
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7,644
train
H1
H14
300
300
30
25
25.333333
-0.484959
0.412586
0.665115
0.666799
0.466979
3.338105
0.57133
0.666799
0.665115
0.342374
0.444621
0.360269
0.170245
0.599411
0.665233
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7,644
train
H0
H14
500
500
30
28.8
31.6
0.443323
-0.294194
-0.902092
-0.902676
2.085245
2.401859
2.159375
-0.902676
0.902092
0.339702
0.814824
0.298573
0.086534
1.843686
1.850031
0.300057
7,644
train
H1
H14
500
500
30
29.6
28.8
0.755532
-0.866852
-0.295982
-0.295841
1.650575
3.10087
1.946316
0.755532
0.866852
0.376333
0.087522
0.385833
0.751397
0.232584
0.235968
0.881799
7,644
train
H0
H14
1,000
1,000
30
30.3
30.1
-0.565694
0.456496
0.96241
0.963201
1.609379
4.23345
1.899512
-0.565694
0.96241
0.237334
0.927756
0.552156
0.208401
1.820655
1.908161
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7,644
train
H1
H14
1,000
1,000
30
31.9
31.1
-0.296494
0.155888
0.722009
0.722035
1.271773
6.231984
1.761288
0.722035
0.722009
0.100853
0.521335
0.242106
0.024299
1.474948
1.528775
-0.158213
7,644
train
H0
H14
20
20
40
35
60
1.459646
-1.399306
-1.702672
-1.693249
3.399949
10.09026
3.244491
-1.693249
1.702672
0.017814
2.867091
2.145383
1.974421
3.024687
2.638836
1.550516
7,644
train
H1
H14
20
20
40
30
25
0.035991
-0.175248
0.59311
0.58694
3.377713
3.861243
3.160535
0.58694
0.59311
0.20592
0.344499
0.012216
0.030496
2.155273
1.940423
0.117699
7,644
train
H0
H14
30
30
40
53.333333
23.333333
-2.101661
1.931988
2.227308
2.225904
5.012513
10.446784
4.971217
2.225904
2.227308
0.015126
4.954649
4.063855
3.749756
4.031699
3.738493
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7,644
train
H1
H14
30
30
40
36.666667
26.666667
-0.340749
0.187322
0.743029
0.735632
1.817018
1.921135
1.769429
-0.340749
0.743029
0.412832
0.541155
0.164102
0.034954
1.722677
1.641639
-0.21078
7,644
train
H0
H14
50
50
40
32
32
0.857761
-1.035249
-0.078665
-0.079158
6.160804
6.386593
6.286986
0.857761
1.035249
0.043132
0.006266
0.415611
1.075887
1.360099
1.304641
1.056383
7,644
train
H1
H14
50
50
40
46
34
-1.174995
1.076908
1.222357
1.217134
1.481515
1.529509
1.481898
-1.174995
1.222357
0.264116
1.481415
1.332507
1.157868
1.225798
1.218679
-1.116716
7,644
train
H0
H14
75
75
40
45.333333
41.333333
0.90567
-1.067023
-0.486499
-0.486964
3.156225
3.289649
3.202266
-0.486964
1.067023
0.201668
0.237134
0.690108
1.142962
0.252176
0.235093
1.082831
7,644
train
H1
H14
75
75
40
33.333333
37.333333
0.373815
-0.418044
-0.145887
-0.145419
0.742412
2.669803
0.581027
-0.145419
0.418044
0.445383
0.021147
0.138737
0.174515
0.108278
0.077245
0.430274
7,644
train
H0
H14
100
100
40
37
41
0.458315
-0.490481
-0.392478
-0.391534
0.215305
0.570484
0.232975
0.458315
0.490481
0.610736
0.153299
0.193858
0.240293
0.014661
0.013553
0.509023
7,644
train
H1
H14
100
100
40
40
42
0.997765
-1.200642
-0.597185
-0.596495
2.937015
4.132768
2.710624
-0.596495
1.200642
0.218338
0.355806
1.046191
1.43988
0.0738
0.057309
1.230958
7,644
train
H0
H14
150
150
40
37.333333
32.666667
0.334367
-0.555666
0.192354
0.191941
3.263886
4.422743
2.908955
0.334367
0.555666
0.219286
0.036841
0.111926
0.30853
1.086099
1.026432
0.55927
7,644
train
H1
H14
150
150
40
45.333333
50.666667
-0.759012
0.800531
0.741156
0.747966
0.579371
0.720384
0.58378
0.747966
0.800531
0.406775
0.559453
0.648534
0.643594
0.343968
0.321775
-0.829582
7,644
train
H0
H14
200
200
40
38
40.5
0.128644
-0.23349
0.13406
0.134533
0.958386
3.200081
0.80001
0.134533
0.23349
0.361793
0.018099
0.022271
0.054483
0.392406
0.338049
0.237022
7,644
train
H1
H14
200
200
40
42.5
40.5
0.139559
-0.310707
0.195496
0.194876
1.23118
1.352764
1.278576
0.194876
0.310707
0.527668
0.037977
0.016187
0.09647
0.670354
0.620415
0.317869
7,644
train
H0
H14
300
300
40
45
38.333333
-1.524703
1.423273
1.694562
1.693331
2.984569
3.171212
3.00392
-1.524703
1.694562
0.14463
2.86737
2.472893
2.026361
2.843458
2.863364
-1.458763
7,644
train
H1
H14
300
300
40
36.666667
39.333333
1.108858
-1.142903
-0.949112
-0.948064
1.299518
1.406039
1.346349
1.108858
1.142903
0.241171
0.898825
1.138426
1.306346
0.165257
0.176393
1.172064
7,644
train
H0
H14
500
500
40
38.6
44.8
2.194411
-2.264045
-1.915492
-1.914774
5.476997
6.813013
5.277181
-1.914774
2.264045
0.02028
3.666359
4.974745
5.126814
0.912325
0.968126
2.321126
7,644
train
H1
H14
500
500
40
38.8
38.8
0.094447
-0.11455
-0.026712
-0.026675
0.001779
5.262523
0.05343
-0.026675
0.11455
0.153553
0.000712
0.001693
0.013118
0.013982
0.027372
0.11751
7,644
train
H0
H14
1,000
1,000
40
40
40
-0.429931
0.49492
0.298473
0.298426
0.409794
1.045985
0.328864
0.298426
0.49492
0.612957
0.089058
0.23543
0.244918
0.000008
0.000608
-0.505856
7,644
train
H1
H14
1,000
1,000
40
41.2
39.6
-0.713587
0.323066
1.461085
1.464255
7.475764
7.666397
7.327831
1.464255
1.461085
0.025632
2.144042
0.56116
0.104373
6.046779
5.993417
-0.328614