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
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perc
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logrank_test
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Q_test
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MIN3_test
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0
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84.2
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99.4
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106
WLg_PetoPrentice_test
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WLg_Prentice_test
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0
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WKM_test
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0.91317
2.416238
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0.956481
7,644
train
H1
H22
300
300
0
0
0
-0.816735
0.816735
1.063328
1.064389
1.19958
2.24896
1.18223
1.064389
1.063328
0.41369
1.132924
0.88231
0.667186
1.065664
0.997955
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7,644
train
H0
H22
500
500
0
0
0
-0.154381
0.154381
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0.734112
1.029075
0.871923
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0.324277
0.646643
0.104872
0.001695
0.023826
0.498926
0.525623
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7,644
train
H1
H22
500
500
0
0
0
0.45285
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0.21612
0.216042
2.120072
2.400958
1.713642
0.45285
0.45285
0.424509
0.046674
0.074797
0.205125
0.67721
0.637254
0.453076
7,644
train
H0
H22
1,000
1,000
0
0
0
-1.331044
1.331044
1.129429
1.128436
1.756235
1.737061
1.774437
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1.331044
0.183065
1.273369
1.691643
1.771906
0.387336
0.406278
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7,644
train
H1
H22
1,000
1,000
0
0
0
-1.176473
1.176473
1.898854
1.904895
3.942139
11.917025
4.569709
1.904895
1.898854
0.007673
3.628625
2.392868
1.384559
4.476661
4.65492
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7,644
train
H0
H22
20
20
10
15
10
0.920178
-0.980833
-0.608097
-0.604007
0.664581
9.138564
1.17584
0.920178
0.980833
0.027504
0.364825
0.520374
0.971645
0.004112
0.004915
1.00918
7,644
train
H1
H22
20
20
10
5
0
0.089789
-0.082222
-0.340148
-0.336564
0.46707
2.047534
0.338997
0.089789
0.340148
0.5626
0.113275
0.027152
0.006713
0.206325
0.128434
0.083571
7,644
train
H0
H22
30
30
10
10
3.333333
-0.070156
0.02991
1.000291
1.00514
5.085922
5.041143
5.048195
-0.070156
1.000291
0.080131
1.010307
0.184602
0.000894
3.530046
3.338931
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7,644
train
H1
H22
30
30
10
10
6.666667
-1.022082
1.047914
0.606802
0.598403
1.585008
1.623026
1.529017
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1.047914
0.285746
0.358086
0.813082
1.093701
0.000907
0.005726
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7,644
train
H0
H22
50
50
10
10
10
1.163672
-1.20152
-0.456495
-0.454147
2.956866
3.279812
2.922732
1.163672
1.20152
0.216844
0.206249
0.900302
1.435295
0.168429
0.14961
1.234963
7,644
train
H1
H22
50
50
10
8
8
-0.95505
0.964303
0.873274
0.875694
0.837641
0.862561
0.913765
0.875694
0.964303
0.329538
0.76684
0.809611
0.930182
0.32572
0.340147
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7,644
train
H0
H22
75
75
10
9.333333
17.333333
0.249722
-0.243784
-0.408173
-0.404548
0.274766
0.343313
0.231502
-0.404548
0.408173
0.804596
0.163659
0.071634
0.059302
0.209478
0.191572
0.247404
7,644
train
H1
H22
75
75
10
10.666667
10.666667
-0.154421
0.19911
-0.449224
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1.549939
1.518493
1.70988
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0.449224
0.425309
0.200405
0.005176
0.039576
0.962329
0.899157
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7,644
train
H0
H22
100
100
10
8
10
-0.918121
0.908034
0.977163
0.977861
0.956958
1.556197
0.967808
-0.918121
0.977163
0.352923
0.956213
0.901435
0.828731
0.65257
0.607772
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7,644
train
H1
H22
100
100
10
10
9
-0.470297
0.45234
0.871027
0.868701
1.553558
2.601386
1.197932
-0.470297
0.871027
0.457247
0.754641
0.300348
0.204427
1.244534
1.162356
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7,644
train
H0
H22
150
150
10
12.666667
8
1.758119
-1.812435
-0.765865
-0.766285
6.56379
6.501685
6.261144
-0.766285
1.812435
0.043693
0.587192
2.244093
3.294308
0.241112
0.174816
1.834228
7,644
train
H1
H22
150
150
10
8
10
-0.358636
0.32872
0.941691
0.94986
2.897824
5.492409
2.127983
0.94986
0.941691
0.139093
0.902234
0.218233
0.108487
1.8726
1.757984
-0.331221
7,644
train
H0
H22
200
200
10
13.5
10.5
-1.356587
1.31805
1.660402
1.660163
2.85809
2.88361
2.831888
-1.356587
1.660402
0.179129
2.756141
2.147976
1.741367
2.538885
2.588824
-1.343443
7,644
train
H1
H22
200
200
10
8
9.5
-0.412173
0.392332
0.646852
0.648238
0.425325
5.079385
0.554878
0.648238
0.646852
0.166076
0.420212
0.328401
0.153867
0.567613
0.680958
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7,644
train
H0
H22
300
300
10
8.333333
10
0.275009
-0.253761
-0.81918
-0.817889
2.002115
2.806094
1.602323
0.275009
0.81918
0.422498
0.668942
0.174028
0.063857
1.380526
1.301701
0.256971
7,644
train
H1
H22
300
300
10
10.666667
11
-0.321128
0.372091
0.084055
0.08395
0.046686
0.968867
0.293387
0.08395
0.372091
0.704717
0.007048
0.01835
0.138754
0.044423
0.049964
-0.378961
7,644
train
H0
H22
500
500
10
10.2
8.4
1.745919
-1.73668
-1.625388
-1.627047
3.107875
3.453192
3.082097
1.745919
1.73668
0.077974
2.647283
3.133191
3.016366
1.140378
1.115823
1.762563
7,644
train
H1
H22
500
500
10
9
10.6
-1.208374
1.190095
1.35452
1.356258
1.841272
1.972747
1.839592
1.356258
1.35452
0.227515
1.839435
1.605533
1.416907
1.363193
1.343745
-1.206786
7,644
train
H0
H22
1,000
1,000
10
9.8
9.1
0.330589
-0.375814
0.532089
0.532636
2.907165
5.090948
3.307637
0.330589
0.532089
0.165257
0.283701
0.000989
0.140829
1.790157
1.835784
0.380837
7,644
train
H1
H22
1,000
1,000
10
9.2
10
-1.012102
1.020712
1.182475
1.184078
1.465039
1.58815
1.408636
1.184078
1.182475
0.300608
1.402041
1.057572
1.041978
1.133277
1.144967
-1.03513
7,644
train
H0
H22
20
20
20
25
25
0.079175
0.090554
-0.744898
-0.771219
5.582656
5.7362
5.470091
-0.771219
0.744898
0.064891
0.594779
0.085795
0.008173
3.294424
3.159547
-0.169076
7,644
train
H1
H22
20
20
20
20
5
-1.332609
1.354962
0.751583
0.757206
3.520687
3.462045
3.49162
0.757206
1.354962
0.164216
0.573362
1.25172
1.84264
0.087846
0.067667
-1.391031
7,644
train
H0
H22
30
30
20
20
26.666667
0.655469
-0.614751
-0.663468
-0.657141
0.439812
0.784823
0.448897
0.655469
0.663468
0.519621
0.431834
0.410276
0.37863
0.185573
0.156432
0.64393
7,644
train
H1
H22
30
30
20
13.333333
16.666667
-1.307216
1.26939
1.553491
1.606515
2.740217
3.151872
2.789672
1.606515
1.553491
0.190352
2.58089
2.10874
1.62385
2.916364
3.015913
-1.309539
7,644
train
H0
H22
50
50
20
20
22
-0.410086
0.441917
0.28014
0.277156
0.122186
1.321942
0.21795
0.277156
0.441917
0.632107
0.076816
0.112692
0.20536
0.010644
0.005624
-0.478764
7,644
train
H1
H22
50
50
20
10
24
0.927899
-0.852875
-1.117698
-1.109294
1.233797
2.881613
1.260051
0.927899
1.117698
0.379617
1.230532
1.168516
0.727273
1.053781
1.210754
0.878603
7,644
train
H0
H22
75
75
20
12
22.666667
1.324257
-1.262523
-1.894705
-1.898682
4.463981
4.440919
4.574647
-1.898682
1.894705
0.101538
3.604994
2.46427
1.582069
4.327207
4.326488
1.295342
7,644
train
H1
H22
75
75
20
22.666667
21.333333
0.486308
-0.597271
0.237497
0.236174
2.664678
3.034464
2.775095
0.236174
0.597271
0.249687
0.055778
0.095704
0.351257
1.024377
0.971818
0.608864
7,644
train
H0
H22
100
100
20
24
20
-0.437264
0.473183
0.020127
0.020137
1.049084
1.561063
1.047491
-0.437264
0.473183
0.592298
0.000406
0.10646
0.227411
0.271586
0.306649
-0.493161
7,644
train
H1
H22
100
100
20
22
17
-1.268163
1.281101
1.097717
1.093334
1.458759
3.128926
1.628131
-1.268163
1.281101
0.185251
1.19538
1.416829
1.643992
0.366529
0.307194
-1.32476
7,644
train
H0
H22
150
150
20
14
15.333333
0.214066
-0.223525
0.059051
0.059052
0.926148
8.009569
0.373144
0.059052
0.223525
0.045814
0.003487
0.049997
0.048617
0.143446
0.083603
0.225646
7,644
train
H1
H22
150
150
20
18.666667
28
-0.292167
0.283622
0.119843
0.119671
0.317808
0.61273
0.204275
-0.292167
0.283622
0.767166
0.014321
0.075472
0.080515
0.013075
0.008118
-0.296084
7,644
train
H0
H22
200
200
20
19.5
20
-0.822368
0.849736
0.4267
0.425752
1.388252
1.486733
1.241533
-0.822368
0.849736
0.379027
0.181265
0.553185
0.725345
0.028475
0.01447
-0.87969
7,644
train
H1
H22
200
200
20
24.5
23.5
-1.68239
1.722883
1.398011
1.398858
2.998921
3.083253
2.956813
-1.68239
1.722883
0.073233
1.956805
2.771116
2.97704
0.375296
0.385515
-1.791378
7,644
train
H0
H22
300
300
20
21.666667
17.333333
1.189688
-1.343931
0.171851
0.172052
11.592925
12.357924
10.64657
1.189688
1.343931
0.004877
0.029602
0.723338
1.806889
3.102552
2.913066
1.372885
7,644
train
H1
H22
300
300
20
19
20.333333
-0.23791
0.223142
0.56758
0.569292
1.125467
2.661023
0.7628
0.569292
0.56758
0.446892
0.324093
0.066677
0.050006
0.704806
0.669651
-0.228684
7,644
train
H0
H22
500
500
20
18.6
22.6
2.451205
-2.451395
-2.097428
-2.099874
6.528798
7.530749
6.099094
2.451205
2.451395
0.011469
4.409471
5.938364
6.004512
1.310337
1.413766
2.528083
7,644
train
H1
H22
500
500
20
20
21
-0.727105
0.755374
0.516731
0.51596
0.617593
0.561027
0.638444
0.51596
0.755374
0.436024
0.266215
0.440089
0.570655
0.0174
0.02351
-0.778924
7,644
train
H0
H22
1,000
1,000
20
20.4
19.5
-1.771625
1.867891
0.530394
0.532057
12.294923
17.549722
9.716546
-1.771625
1.867891
0.000545
0.283085
2.431074
3.494398
1.505471
1.441469
-1.93065
7,644
train
H1
H22
1,000
1,000
20
19.4
21.8
-0.404349
0.344672
1.169343
1.173616
4.206904
5.018831
3.794735
-0.404349
1.169343
0.149963
1.377375
0.321575
0.118969
3.154317
3.225705
-0.354208