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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logrank_test
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BN_GPH_test
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0
109
BN_MCE_test
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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float64
0
84.2
WLg_TaroneWare_test
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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
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10.7
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1.659844
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7,648
train
H1
H18
300
300
0
0
0
0.950032
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0.65136
0.653337
8.1999
8.52053
10.026715
0.950032
0.950032
0.006649
0.426849
0.078469
0.903382
4.30697
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7,648
train
H0
H18
500
500
0
0
0
-0.524237
0.524237
0.58924
0.588768
0.400232
0.498111
0.347354
0.588768
0.58924
0.599931
0.346648
0.408454
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7,648
train
H1
H18
500
500
0
0
0
0.248104
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0.481862
0.48135
1.850415
1.752709
2.025958
0.48135
0.481862
0.363136
0.231698
0.001406
0.061542
1.198177
1.173435
0.248228
7,648
train
H0
H18
1,000
1,000
0
0
0
-1.138605
1.138605
0.699645
0.700127
2.828326
6.385286
1.632748
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1.138605
0.094298
0.490177
1.281481
1.296415
0.004281
0.009401
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7,648
train
H1
H18
1,000
1,000
0
0
0
1.380606
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1.669071
2.262871
2.976354
1.380606
1.380606
0.167294
0.464414
1.027114
1.906788
0.036418
0.033553
1.380951
7,648
train
H0
H18
20
20
10
10
30
0.29936
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1.699105
3.606523
1.465953
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0.715558
0.307207
0.496631
0.144426
0.054818
1.118285
0.878126
0.28036
7,648
train
H1
H18
20
20
10
0
15
1.173263
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1.791528
2.659479
2.004736
1.173263
1.18153
0.230695
0.512532
0.986298
1.394945
0.001457
0.001379
1.19857
7,648
train
H0
H18
30
30
10
10
6.666667
-1.471456
1.465625
1.196259
1.200687
2.338872
2.4264
2.266069
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1.465625
0.137914
1.441648
2.019509
2.16868
0.285383
0.331987
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7,648
train
H1
H18
30
30
10
13.333333
6.666667
0.230864
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0.553754
0.552789
4.21761
6.26453
3.706494
0.230864
0.553754
0.099426
0.305576
0.003735
0.059796
2.016724
1.856133
0.2359
7,648
train
H0
H18
50
50
10
8
6
-0.109671
0.128585
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1.574676
4.604067
1.15183
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0.347995
0.203194
0.123039
0.000093
0.016495
0.64855
0.556638
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7,648
train
H1
H18
50
50
10
4
18
0.219064
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0.290227
1.839074
0.387896
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0.441384
0.606469
0.19502
0.12869
0.044384
0.284524
0.342759
0.212057
7,648
train
H0
H18
75
75
10
12
10.666667
-0.802295
0.776915
1.015578
1.019189
1.143154
1.172744
1.132124
1.019189
1.015578
0.436926
1.038745
0.781803
0.602332
1.21605
1.193097
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7,648
train
H1
H18
75
75
10
9.333333
13.333333
1.645443
-1.63829
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2.856311
3.311155
2.902058
1.645443
1.662142
0.099923
2.815221
2.772803
2.686659
1.569795
1.560469
1.645229
7,648
train
H0
H18
100
100
10
11
10
1.600139
-1.600601
-1.442371
-1.445573
2.786055
3.023952
2.569172
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1.600601
0.106735
2.089681
2.718865
2.569821
0.812764
0.857439
1.613045
7,648
train
H1
H18
100
100
10
4
6
1.570923
-1.559134
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3.144681
6.673632
2.479009
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1.559134
0.083061
1.879355
2.672533
2.436827
0.683932
0.842288
1.564284
7,648
train
H0
H18
150
150
10
10.666667
11.333333
0.027332
-0.008852
-0.27227
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0.599751
2.231864
0.313387
-0.271404
0.27227
0.5257
0.07366
0.000575
0.000078
0.219494
0.164095
0.009361
7,648
train
H1
H18
150
150
10
10.666667
12.666667
2.802036
-2.851725
-1.928956
-1.941617
8.738934
11.974304
9.776069
2.802036
2.851725
0.004013
3.769878
6.297203
8.199004
0.276098
0.276711
2.877148
7,648
train
H0
H18
200
200
10
8
7.5
-0.3192
0.305193
0.666053
0.664713
0.691487
1.458717
0.791984
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0.666053
0.673012
0.441843
0.225674
0.093093
0.80738
0.888287
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7,648
train
H1
H18
200
200
10
9.5
9.5
0.516875
-0.562818
0.554547
0.555023
4.468016
4.528381
5.411833
0.516875
0.562818
0.066809
0.308051
0.004403
0.316983
2.640848
2.576482
0.566712
7,648
train
H0
H18
300
300
10
9.666667
8.333333
1.209066
-1.229597
-1.04651
-1.046907
1.180542
4.884149
1.46693
1.209066
1.229597
0.18048
1.096013
1.236248
1.512869
0.349433
0.313254
1.239234
7,648
train
H1
H18
300
300
10
11.666667
13
2.651344
-2.673233
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7.970471
7.65551
7.948972
2.651344
2.673233
0.006972
3.865714
6.133482
7.170858
0.488787
0.533842
2.69818
7,648
train
H0
H18
500
500
10
9.2
9.4
-0.210459
0.21159
0.161464
0.161227
0.044404
0.087666
0.047598
0.161227
0.21159
0.831422
0.025994
0.038017
0.044754
0.006955
0.004141
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7,648
train
H1
H18
500
500
10
10.4
8.8
2.452174
-2.514111
-1.071566
-1.073802
12.542229
12.574265
12.127806
2.452174
2.514111
0.002325
1.15305
4.2963
6.334887
0.44272
0.398848
2.531117
7,648
train
H0
H18
1,000
1,000
10
10.7
11.1
-0.659084
0.728191
-0.337852
-0.338193
5.242365
5.515595
4.763728
-0.659084
0.728191
0.092378
0.114374
0.153136
0.530311
1.992236
1.952022
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7,648
train
H1
H18
1,000
1,000
10
10.3
10.5
3.147534
-3.252966
-1.059215
-1.061073
22.366259
22.670372
25.019147
3.147534
3.252966
0.000004
1.125876
5.895899
10.601706
2.160575
2.106445
3.280496
7,648
train
H0
H18
20
20
20
10
5
0.324481
-0.355439
-0.091093
-0.089036
0.449994
1.096208
0.322007
0.324481
0.355439
0.720742
0.007927
0.087277
0.125464
0.084918
0.038412
0.357467
7,648
train
H1
H18
20
20
20
15
10
-0.025281
0.041272
-0.077608
-0.076166
0.036581
0.064283
0.056191
-0.076166
0.077608
0.972296
0.005801
0.000535
0.001693
0.008984
0.003771
-0.034222
7,648
train
H0
H18
30
30
20
10
10
0.265848
-0.267596
-0.171818
-0.169826
0.11241
0.154793
0.097339
-0.169826
0.267596
0.787738
0.028841
0.06269
0.071291
0.003967
0.0043
0.26925
7,648
train
H1
H18
30
30
20
30
20
-1.30887
1.234716
1.556436
1.576301
2.656765
4.434412
2.762138
1.576301
1.556436
0.204545
2.484726
2.076045
1.528661
2.988083
3.290997
-1.26871
7,648
train
H0
H18
50
50
20
8
22
2.056654
-2.048445
-2.028363
-2.035454
4.294766
5.037562
4.374939
2.056654
2.048445
0.038318
4.143075
4.242462
4.207525
2.139547
2.119866
2.071438
7,648
train
H1
H18
50
50
20
14
14
2.512416
-2.592009
-1.306503
-1.313892
11.823677
12.195164
11.977641
2.512416
2.592009
0.002507
1.726311
4.667324
6.840371
0.065237
0.035433
2.608724
7,648
train
H0
H18
75
75
20
22.666667
18.666667
-0.224629
0.20529
0.198685
0.197016
0.071803
0.639431
0.050632
0.197016
0.20529
0.835973
0.038815
0.053428
0.04204
0.0318
0.061393
-0.207047
7,648
train
H1
H18
75
75
20
20
18.666667
1.575776
-1.618326
-0.873792
-0.873575
4.920832
5.649194
4.50861
-0.873575
1.618326
0.101385
0.763134
1.975809
2.622752
0.051244
0.022952
1.638177
7,648
train
H0
H18
100
100
20
19
19
-1.673911
1.76074
1.014839
1.012395
4.258789
5.372384
4.412216
-1.673911
1.76074
0.073348
1.024943
2.379927
3.109823
0.038449
0.044381
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7,648
train
H1
H18
100
100
20
15
23
0.564917
-0.538848
-0.637591
-0.635288
0.441253
0.764531
0.405008
0.564917
0.637591
0.58306
0.403591
0.259664
0.290228
0.284335
0.288009
0.548921
7,648
train
H0
H18
150
150
20
17.333333
24
-0.120217
0.291468
-0.794471
-0.794365
4.480287
5.523487
5.101556
-0.794365
0.794471
0.078021
0.631015
0.027218
0.084982
3.167068
3.149348
-0.291584
7,648
train
H1
H18
150
150
20
20.666667
24
0.031781
-0.086389
-0.017656
-0.017602
0.027345
2.906353
0.001991
-0.017602
0.086389
0.40629
0.00031
0.000037
0.007456
0.001368
0.011621
0.088144
7,648
train
H0
H18
200
200
20
23.5
21
-0.999563
1.052423
0.694215
0.692729
1.588328
2.269387
1.354206
-0.999563
1.052423
0.287356
0.479873
0.991587
1.107429
0.008101
0.018203
-1.063939
7,648
train
H1
H18
200
200
20
23.5
21.5
0.055027
-0.097852
0.024745
0.024764
0.001084
4.217545
0.041169
0.024764
0.097852
0.238911
0.000613
0.00151
0.009569
0.020393
0.037882
0.100243
7,648
train
H0
H18
300
300
20
18
24
2.081875
-2.083243
-1.945101
-1.943169
4.593299
5.13396
4.346864
2.081875
2.083243
0.03459
3.775904
4.616485
4.345172
1.663664
1.718426
2.11313
7,648
train
H1
H18
300
300
20
22
17
0.408457
-0.489563
0.357771
0.357511
3.773554
4.10826
3.386418
0.408457
0.489563
0.183928
0.127814
0.045964
0.239617
1.537916
1.550719
0.494363
7,648
train
H0
H18
500
500
20
18.6
22.6
-0.836867
0.948738
0.126382
0.126216
3.085332
3.965308
3.212695
-0.836867
0.948738
0.200619
0.01593
0.45335
0.900284
0.712471
0.752054
-0.961324
7,648
train
H1
H18
500
500
20
17.6
20
2.156892
-2.215591
-1.544127
-1.544078
5.442386
5.094744
5.654334
2.156892
2.215591
0.024259
2.384178
3.950415
4.912726
0.159061
0.182557
2.252995
7,648
train
H0
H18
1,000
1,000
20
20.3
20.4
-0.59721
0.640352
0.27184
0.271879
1.175387
2.900977
0.822277
-0.59721
0.640352
0.407146
0.073918
0.345977
0.410026
0.046592
0.033514
-0.648748
7,648
train
H1
H18
1,000
1,000
20
19.9
17.7
1.94174
-2.102314
-0.659939
-0.660024
9.721152
10.466356
10.754335
1.94174
2.102314
0.004621
0.435632
2.473165
4.424817
1.12877
1.090411
2.133618