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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20
1k
perc
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0
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logrank_test
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0
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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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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,646
train
H1
H23
300
300
0
0
0
1.393725
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6.347829
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7,646
train
H0
H23
500
500
0
0
0
0.175622
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7,646
train
H1
H23
500
500
0
0
0
0.159417
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7,646
train
H0
H23
1,000
1,000
0
0
0
2.209837
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5.478582
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3.031351
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7,646
train
H1
H23
1,000
1,000
0
0
0
0.032447
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3.5328
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7,646
train
H0
H23
20
20
10
5
0
0.363983
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7,646
train
H1
H23
20
20
10
15
15
0.945682
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7,646
train
H0
H23
30
30
10
13.333333
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7,646
train
H1
H23
30
30
10
20
6.666667
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6.279128
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7,646
train
H0
H23
50
50
10
12
4
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7,646
train
H1
H23
50
50
10
18
12
0.409915
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7,646
train
H0
H23
75
75
10
6.666667
14.666667
0.534366
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7,646
train
H1
H23
75
75
10
12
14.666667
0.773617
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2.539885
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0.817475
0.408339
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7,646
train
H0
H23
100
100
10
9
6
0.944482
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0.620866
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0.962498
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7,646
train
H1
H23
100
100
10
10
7
0.049666
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0.049666
0.388908
0.433583
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7,646
train
H0
H23
150
150
10
10
12.666667
2.140016
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4.397966
6.108898
4.599521
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2.13619
0.02954
3.551641
4.451056
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7,646
train
H1
H23
150
150
10
9.333333
11.333333
0.052872
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1.536998
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1.665672
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0.649316
0.434815
0.419012
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7,646
train
H0
H23
200
200
10
9.5
7.5
0.971593
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2.297456
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1.970975
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0.991258
0.313319
0.144724
0.675326
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1.008282
7,646
train
H1
H23
200
200
10
13
12.5
-0.058578
0.103411
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0.60451
3.051955
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0.361613
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0.130677
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7,646
train
H0
H23
300
300
10
11
11.666667
0.670251
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0.659513
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0.670251
0.779388
0.492088
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7,646
train
H1
H23
300
300
10
11.333333
9.666667
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1.040537
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13.4357
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13.204265
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1.040537
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0.504296
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1.085377
6.297125
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7,646
train
H0
H23
500
500
10
9.2
10.4
-0.494342
0.509031
0.013858
0.013852
1.311674
1.519658
1.078026
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0.509031
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0.151074
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7,646
train
H1
H23
500
500
10
12.6
7.4
0.098521
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0.068903
0.769996
0.018576
0.098521
0.130689
0.856629
0.017099
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0.010656
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0.104029
7,646
train
H0
H23
1,000
1,000
10
10.3
10.4
-1.917911
1.902142
1.610852
1.610759
4.332893
5.085575
3.712782
1.610759
1.902142
0.052871
2.594546
3.799362
3.620998
0.66396
0.71407
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7,646
train
H1
H23
1,000
1,000
10
10.3
10
-0.044205
0.131506
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15.133246
15.731532
13.823788
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1.638512
0.000996
2.720816
0.230331
0.017382
9.864317
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7,646
train
H0
H23
20
20
20
35
25
0.615045
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0.670793
1.984922
0.562407
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0.658455
0.498262
0.196345
0.378306
0.39445
0.003739
0.004162
0.677227
7,646
train
H1
H23
20
20
20
10
5
-1.260701
1.299678
1.047232
1.04097
1.560939
2.651456
1.653537
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1.299678
0.179687
1.083619
1.541875
1.713707
0.185585
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7,646
train
H0
H23
30
30
20
30
20
0.564864
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0.03561
0.0354
2.810795
5.535323
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0.564864
0.641565
0.136541
0.001253
0.168266
0.388053
0.715916
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0.620127
7,646
train
H1
H23
30
30
20
16.666667
3.333333
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1.733641
1.77292
1.782148
3.300482
3.292281
3.305609
1.782148
1.77292
0.069224
3.176052
3.260546
3.039281
1.732377
1.875217
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7,646
train
H0
H23
50
50
20
22
24
-0.217476
0.282197
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1.879251
2.046453
1.773421
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0.313644
0.412009
0.097352
0.005277
0.083795
0.819695
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7,646
train
H1
H23
50
50
20
16
32
1.255502
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7.464291
9.34688
7.078016
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1.957439
0.025017
4.043951
2.166429
1.186433
6.739017
6.509932
1.153947
7,646
train
H0
H23
75
75
20
25.333333
21.333333
0.74044
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1.971542
4.861876
1.487002
0.74044
0.770358
0.182195
0.087877
0.465308
0.583479
0.130537
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0.789474
7,646
train
H1
H23
75
75
20
25.333333
17.333333
0.285112
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0.104828
0.104495
0.75486
1.045278
0.811845
0.104495
0.335525
0.666362
0.010919
0.032704
0.112625
0.325735
0.316512
0.342167
7,646
train
H0
H23
100
100
20
24
12
-2.756799
2.737989
2.36518
2.367603
7.975893
8.161648
7.694439
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2.737989
0.004399
5.605542
7.473566
7.550165
1.220853
1.36389
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7,646
train
H1
H23
100
100
20
16
17
-1.530222
1.62067
0.460461
0.463322
7.257809
7.803731
6.860854
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1.62067
0.032373
0.214667
1.650319
2.639573
1.323627
1.235135
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7,646
train
H0
H23
150
150
20
20
27.333333
1.061823
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1.216088
5.739535
1.229822
1.061823
1.098585
0.124993
1.203452
1.056712
1.170097
0.692391
0.591886
1.152968
7,646
train
H1
H23
150
150
20
18
20
-0.119874
0.174436
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2.334554
2.394964
2.233119
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0.528249
0.327404
0.277007
0.004124
0.031177
1.377176
1.301362
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7,646
train
H0
H23
200
200
20
17
15.5
-0.262056
0.287683
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0.408875
0.409503
0.433026
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0.287683
0.766005
0.001118
0.027177
0.083231
0.125783
0.105149
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7,646
train
H1
H23
200
200
20
23.5
15
-0.874797
0.901999
0.578522
0.577869
0.810309
1.944647
1.007589
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0.901999
0.350089
0.333932
0.592168
0.816579
0.006886
0.001602
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7,646
train
H0
H23
300
300
20
20
16
0.904136
-0.930091
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1.626927
1.973631
1.286465
0.904136
0.930091
0.33679
0.252176
0.744201
0.861535
0.010744
0.005127
0.960527
7,646
train
H1
H23
300
300
20
20.333333
22.333333
0.176442
-0.021477
-1.360013
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9.362652
10.748724
8.659926
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1.360013
0.013165
1.87485
0.266783
0.000364
6.376981
6.184277
0.021224
7,646
train
H0
H23
500
500
20
21.2
19.4
2.414193
-2.448095
-1.888976
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6.158145
6.561277
6.277232
2.414193
2.448095
0.011103
3.590505
5.325309
5.995628
0.624167
0.600628
2.539428
7,646
train
H1
H23
500
500
20
19.6
19
1.309905
-1.193653
-2.054509
-2.066569
5.861581
5.873971
6.019661
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2.054509
0.0493
4.270705
2.471519
1.422683
5.963225
5.906397
1.227666
7,646
train
H0
H23
1,000
1,000
20
19.8
22
0.977404
-0.88132
-1.383819
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2.069427
6.8543
2.329434
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1.383819
0.07669
1.91767
1.351444
0.775275
2.292862
2.404783
0.910945
7,646
train
H1
H23
1,000
1,000
20
18.9
18.8
-0.093724
0.2616
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10.891303
12.667771
11.617251
-1.367875
1.36225
0.003002
1.871081
0.127667
0.068979
7.991472
8.095559
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