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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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
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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
4
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
H27
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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
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40
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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
H27
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train
H1
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train
H0
H27
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37
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train
H1
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train
H0
H27
150
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train
H1
H27
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train
H0
H27
200
200
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37.5
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train
H1
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train
H0
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train
H1
H27
300
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train
H0
H27
500
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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
20
20
50
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train
H1
H27
20
20
50
45
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train
H0
H27
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train
H1
H27
30
30
50
26.666667
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train
H0
H27
50
50
50
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46
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train
H1
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50
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50
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train
H0
H27
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train
H1
H27
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train
H0
H27
100
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train
H1
H27
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49
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train
H0
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train
H1
H27
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50
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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
300
300
50
50
47.666667
1.244249
-1.605635
-0.590804
-0.591385
5.669457
9.367645
6.431772
-0.591385
1.605635
0.024782
0.349736
1.359351
2.582804
0.79166
0.811956
1.664595
4
train
H0
H27
500
500
50
52.4
48.4
-0.630906
0.490832
0.779085
0.778297
0.792225
2.892833
0.867206
0.778297
0.779085
0.408445
0.605746
0.452814
0.240862
0.92488
0.949593
-0.507129
4
train
H1
H27
500
500
50
49.8
51.4
2.489504
-3.140083
-1.46025
-1.46021
16.846232
25.587906
18.923541
2.489504
3.140083
0.000012
2.132214
5.827093
9.88639
0.871236
0.950277
3.281506
4
train
H0
H27
1,000
1,000
50
47.1
53.9
1.946703
-1.69113
-2.192325
-2.191319
5.141513
6.282775
5.238264
-2.191319
2.192325
0.072866
4.80188
3.871127
2.859829
4.653212
4.672146
1.752258
4
train
H1
H27
1,000
1,000
50
51.2
49.7
2.167038
-2.798957
-1.22779
-1.230043
12.86241
31.21292
15.110741
-1.230043
2.798957
0.000001
1.513005
3.999045
7.850479
0.894844
0.888014
2.93042
4
train
H0
H28
20
20
0
0
0
0.216401
-0.216401
0.13869
0.135394
0.599664
0.692738
0.526482
0.216401
0.216401
0.768557
0.018331
0.010741
0.046571
0.292019
0.235663
0.219158
4
train
H1
H28
20
20
0
0
0
1.244304
-1.244304
-1.348014
-1.362421
1.884779
5.015763
1.857128
1.244304
1.348014
0.170647
1.85619
1.600149
1.548198
1.161482
1.022119
1.260156
4
train
H0
H28
30
30
0
0
0
-0.739221
0.739221
0.261178
0.259273
1.691858
3.122944
1.253535
-0.739221
0.739221
0.373055
0.067223
0.388537
0.545524
0.109524
0.0436
-0.74546
4
train
H1
H28
30
30
0
0
0
0.310473
-0.310473
-0.312662
-0.306845
0.095789
0.73467
0.101217
-0.306845
0.312662
0.75421
0.094154
0.076633
0.095859
0.025479
0.008621
0.313093
4
train
H0
H28
50
50
0
0
0
-1.433915
1.433915
1.12966
1.125619
2.287101
2.641214
2.134829
1.125619
1.433915
0.149546
1.267019
1.879447
2.059038
0.243418
0.365143
-1.441138
4
train
H1
H28
50
50
0
0
0
1.268463
-1.268463
-1.037945
-1.043681
1.172022
11.920608
1.644931
1.268463
1.268463
0.00766
1.08927
1.168664
1.61367
0.287133
0.196778
1.274853
4
train
H0
H28
75
75
0
0
0
1.426437
-1.426437
-1.393358
-1.396651
2.292731
2.43288
2.13161
-1.396651
1.426437
0.15513
1.950635
2.293715
2.038445
1.002942
1.043495
1.421642
4
train
H1
H28
75
75
0
0
0
0.479238
-0.479238
-0.836179
-0.84182
1.649083
5.911873
1.027589
-0.84182
0.836179
0.115977
0.708661
0.257737
0.229545
1.036191
0.895544
0.477627
4
train
H0
H28
100
100
0
0
0
2.401851
-2.401851
-3.023327
-3.144643
10.91292
11.833079
10.720867
-3.144643
3.023327
0.004699
9.888781
7.577281
5.811522
9.849217
9.737009
2.407879
4
train
H1
H28
100
100
0
0
0
-0.298093
0.298093
1.052746
1.061232
1.39321
9.342775
2.81857
1.061232
1.052746
0.025064
1.126213
0.697977
0.089235
2.217642
2.627432
-0.298841
4
train
H0
H28
150
150
0
0
0
2.326792
-2.326792
-2.194025
-2.207586
5.95843
6.68655
5.567196
-2.207586
2.326792
0.01977
4.873435
5.879924
5.441429
2.348845
2.584333
2.33068
4
train
H1
H28
150
150
0
0
0
-1.541433
1.541433
1.425374
1.429522
3.104869
6.081424
2.410917
1.429522
1.541433
0.107715
2.043533
2.823139
2.381376
0.781211
0.959103
-1.544009
4
train
H0
H28
200
200
0
0
0
-2.203015
2.203015
1.283514
1.280822
6.05165
5.998976
6.495723
-2.203015
2.203015
0.0274
1.640504
3.624014
4.869031
0.005306
0.001173
-2.205774
4
train
H1
H28
200
200
0
0
0
1.791301
-1.791301
-0.975728
-0.977779
2.126156
11.355569
4.658791
1.791301
1.791301
0.009951
0.956051
1.637783
3.221325
0.002673
0.012096
1.793544
4
train
H0
H28
300
300
0
0
0
1.046589
-1.046589
-1.166525
-1.166669
1.372003
2.173067
1.365241
1.046589
1.166525
0.294886
1.361116
1.245379
1.095128
0.932477
1.019869
1.047462
4
train
H1
H28
300
300
0
0
0
0.971698
-0.971698
-0.828428
-0.828641
0.686663
6.130177
0.945557
0.971698
0.971698
0.105446
0.686647
0.634147
0.944322
0.207917
0.167916
0.972509
4
train
H0
H28
500
500
0
0
0
1.299425
-1.299425
-0.258923
-0.258889
4.158637
3.713946
4.756396
1.299425
1.299425
0.092718
0.067023
0.828501
1.689485
0.68112
0.634117
1.300075
4
train
H1
H28
500
500
0
0
0
0.361535
-0.361535
-0.677114
-0.680293
2.067967
6.893087
0.68533
-0.680293
0.677114
0.075385
0.462799
0.05076
0.130836
0.776447
0.717072
0.361716
4
train
H0
H28
1,000
1,000
0
0
0
-1.700589
1.700589
1.940771
1.943372
3.776741
4.28961
3.777447
1.943372
1.940771
0.08894
3.776693
3.386803
2.892528
2.796425
2.736978
-1.701014
4
train
H1
H28
1,000
1,000
0
0
0
2.64025
-2.64025
-2.389951
-2.395077
5.963295
8.001794
7.019317
2.64025
2.64025
0.008268
5.736393
5.792474
6.978241
2.342002
2.299893
2.64091
4
train
H0
H28
20
20
10
10
5
-0.153725
0.149684
0.381228
0.37632
0.270104
1.506578
0.349146
0.37632
0.381228
0.680753
0.141617
0.078387
0.022214
0.380622
0.53074
-0.16373
4
train
H1
H28
20
20
10
10
20
0.295511
-0.363219
-0.619944
-0.618136
1.229844
7.479178
0.805347
-0.618136
0.619944
0.058096
0.382093
0.143563
0.131634
0.80515
0.58498
0.409347
4
train
H0
H28
30
30
10
10
16.666667
0.700835
-0.636791
-1.401808
-1.409519
4.440034
4.809987
4.232992
-1.409519
1.401808
0.120453
1.986745
0.900485
0.404475
3.563356
3.346993
0.673993
4
train
H1
H28
30
30
10
10
26.666667
0.523133
-0.467065
-0.820302
-0.814596
0.904643
2.600169
1.020491
-0.814596
0.820302
0.45746
0.663566
0.425395
0.216858
0.923122
1.158049
0.486677
4
train
H0
H28
50
50
10
12
6
0.670995
-0.714094
0.110273
0.109702
3.475579
3.784581
3.149245
0.670995
0.714094
0.207086
0.012035
0.195672
0.509888
0.972922
0.813567
0.719765
4
train
H1
H28
50
50
10
10
12
-0.368118
0.336565
0.353636
0.350531
0.1807
1.14729
0.137056
-0.368118
0.353636
0.734014
0.122872
0.147229
0.115341
0.069588
0.131639
-0.339791
4
train
H0
H28
75
75
10
9.333333
6.666667
1.779853
-1.799439
-1.285706
-1.295269
3.299511
5.165608
3.695155
1.779853
1.799439
0.071987
1.677722
2.544793
3.254247
0.165151
0.155178
1.799199
4
train
H1
H28
75
75
10
13.333333
17.333333
0.157811
-0.207082
0.249807
0.249249
0.897086
0.850298
0.922343
0.249249
0.249807
0.630544
0.062125
0.001033
0.0428
0.534317
0.495028
0.210578
4
train
H0
H28
100
100
10
14
8
1.348586
-1.352904
-0.870239
-0.870774
2.826812
3.528031
2.384775
1.348586
1.352904
0.17008
0.758248
1.608117
1.837157
0.011902
0.034304
1.371948
4
train
H1
H28
100
100
10
14
12
0.048694
-0.122512
0.608743
0.608183
1.332353
6.287004
2.272192
0.608183
0.608743
0.098452
0.369887
0.089794
0.015013
1.469501
1.665913
0.123629
4
train
H0
H28
150
150
10
13.333333
9.333333
-0.463966
0.437547
0.823049
0.819794
0.829596
1.043254
1.045436
0.819794
0.823049
0.592907
0.672062
0.46806
0.191403
1.061769
1.076133
-0.444118
4
train
H1
H28
150
150
10
10.666667
7.333333
-0.700465
0.66824
1.356684
1.357844
2.940473
2.742331
3.165931
1.357844
1.356684
0.205365
1.843741
1.004217
0.446768
3.183694
3.137533
-0.674394
4
train
H0
H28
200
200
10
6
10
1.504504
-1.412565
-3.006882
-3.088053
19.2076
19.492164
18.613295
-3.088053
3.006882
0.000091
9.536071
4.390597
1.99769
17.506532
17.324759
1.431694
4
train
H1
H28
200
200
10
9.5
7.5
-0.627888
0.601087
1.035617
1.035625
1.137765
4.879853
1.479582
1.035625
1.035617
0.180809
1.07252
0.829776
0.361502
1.456728
1.649168
-0.606035
4
train
H0
H28
300
300
10
10.666667
9.666667
0.800415
-0.825707
-0.17823
-0.1779
1.561125
3.22589
2.114247
0.800415
0.825707
0.347454
0.031648
0.281929
0.681828
0.340188
0.351934
0.829553
4
train
H1
H28
300
300
10
7.666667
7.666667
-0.066422
0.069937
-0.19839
-0.198564
1.231927
7.070607
0.320034
-0.066422
0.19839
0.069681
0.039427
0.029776
0.004897
0.237736
0.187189
-0.06922
4
train
H0
H28
500
500
10
10.2
11
1.474395
-1.472576
-1.520311
-1.523621
2.322852
6.833343
2.384319
-1.523621
1.520311
0.077404
2.321421
2.122818
2.169462
1.385073
1.306472
1.486079
4
train
H1
H28
500
500
10
8.2
8.8
1.083383
-1.12731
-0.091962
-0.091939
3.754301
5.116305
4.769303
1.083383
1.12731
0.092121
0.008453
0.467984
1.271247
1.046951
1.068514
1.135331
4
train
H0
H28
1,000
1,000
10
8.9
11.8
0.705427
-0.717195
-0.425878
-0.426159
0.844358
1.731447
0.698188
0.705427
0.717195
0.469743
0.181612
0.420535
0.514274
0.000106
0.000108
0.722897
4
train
H1
H28
1,000
1,000
10
9.7
10.5
0.566535
-0.589617
-0.444184
-0.444798
0.500901
18.577331
0.33953
-0.444798
0.589617
0.000334
0.197846
0.05087
0.347785
0.051082
0.038305
0.59487