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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1k
perc
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0
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logrank_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
float64
0
10.2
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
float64
-8.89
10.7
3
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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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
H1
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train
H0
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train
H1
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train
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train
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train
H0
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train
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train
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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
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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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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
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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
H07
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51.333333
0.415026
-0.42113
-0.410333
-0.409732
0.168574
0.812223
0.173311
-0.409732
0.42113
0.662286
0.167881
0.146252
0.17732
0.059689
0.054443
0.436759
3
train
H0
H07
500
500
50
51.8
47.6
-1.280362
1.608838
0.890619
0.891262
2.896852
12.22407
3.453862
0.891262
1.608838
0.006654
0.794349
1.566708
2.588912
0.045904
0.060347
-1.669755
3
train
H1
H07
500
500
50
51.4
49.2
1.716675
-1.82779
-1.396484
-1.410801
3.954598
4.708032
4.098035
-1.410801
1.82779
0.058187
1.990359
2.750169
3.344918
0.138151
0.142183
1.89429
3
train
H0
H07
1,000
1,000
50
51.2
51.4
0.326011
-0.384252
-0.212136
-0.212045
0.219895
1.192814
0.282699
-0.212045
0.384252
0.690715
0.044963
0.066629
0.147655
0.013938
0.011991
0.397885
3
train
H1
H07
1,000
1,000
50
49.9
49.7
1.957058
-2.106023
-1.611667
-1.615859
5.335818
5.575873
5.254162
-1.615859
2.106023
0.029618
2.611001
3.906687
4.43891
0.240109
0.249184
2.175161
3
train
H0
H08
20
20
0
0
0
0.541002
-0.541002
-0.921011
-0.911605
1.029463
1.22896
1.163172
-0.911605
0.921011
0.559011
0.831024
0.566155
0.292184
1.003118
1.05345
0.547894
3
train
H1
H08
20
20
0
0
0
-0.297551
0.297551
0.342216
0.33603
0.148813
2.14722
0.112931
0.33603
0.342216
0.542419
0.112916
0.142087
0.087777
0.122329
0.241321
-0.301342
3
train
H0
H08
30
30
0
0
0
0.694868
-0.694868
-0.351338
-0.345411
0.74555
0.663847
0.789533
0.694868
0.694868
0.48347
0.119309
0.31025
0.480923
0.025597
0.010604
0.700732
3
train
H1
H08
30
30
0
0
0
-0.088707
0.088707
0.091708
0.090281
0.061219
1.585875
0.00851
0.090281
0.091708
0.662597
0.008151
0.02339
0.007826
0.010383
0.043868
-0.089455
3
train
H0
H08
50
50
0
0
0
-0.37916
0.37916
0.493797
0.488508
0.310453
0.767645
0.249009
-0.37916
0.493797
0.703151
0.23864
0.143232
0.143302
0.280577
0.236683
-0.38107
3
train
H1
H08
50
50
0
0
0
0.096513
-0.096513
-1.494201
-1.550135
11.150515
10.94436
11.634947
-1.550135
1.494201
0.002975
2.402918
0.547038
0.00935
8.463703
8.337177
0.097
3
train
H0
H08
75
75
0
0
0
1.163326
-1.163326
-1.144954
-1.141385
1.325192
2.537046
1.417738
1.163326
1.163326
0.246287
1.302759
1.290994
1.352759
0.612038
0.5516
1.159416
3
train
H1
H08
75
75
0
0
0
-0.565689
0.565689
-0.614167
-0.625096
7.854923
10.491299
6.508283
-0.565689
0.614167
0.01482
0.390745
0.026378
0.319684
3.397407
3.154962
-0.563787
3
train
H0
H08
100
100
0
0
0
1.285223
-1.285223
-0.98674
-0.984422
1.317598
4.679323
1.73404
1.285223
1.285223
0.196842
0.969087
1.296196
1.653572
0.167859
0.127034
1.288448
3
train
H1
H08
100
100
0
0
0
-1.805664
1.805664
0.468781
0.468905
5.859409
12.990461
8.433155
-1.805664
1.805664
0.004657
0.219872
1.513927
3.282086
1.3837
1.58204
-1.810196
3
train
H0
H08
150
150
0
0
0
0.939768
-0.939768
-0.80436
-0.802117
0.97161
1.041694
0.883615
-0.802117
0.939768
0.346531
0.643392
0.891684
0.882589
0.189515
0.18492
0.941339
3
train
H1
H08
150
150
0
0
0
2.86057
-2.86057
-3.26555
-3.355648
11.332226
11.352182
11.308878
2.86057
3.26555
0.003502
11.26037
9.745071
8.23809
9.017996
9.069487
2.865349
3
train
H0
H08
200
200
0
0
0
0.918571
-0.918571
-1.556537
-1.563041
2.942532
3.985991
3.281733
-1.563041
1.556537
0.193812
2.443098
1.525647
0.843616
3.247777
3.318613
0.919722
3
train
H1
H08
200
200
0
0
0
0.425553
-0.425553
-1.754857
-1.773577
7.699237
8.142556
8.721588
-1.773577
1.754857
0.012768
3.145574
1.050148
0.181182
7.3774
7.353108
0.426086
3
train
H0
H08
300
300
0
0
0
1.08898
-1.08898
-1.416336
-1.416385
2.006445
3.105367
2.088028
-1.416385
1.416336
0.275762
2.006146
1.755528
1.18616
1.851802
1.974136
1.089889
3
train
H1
H08
300
300
0
0
0
1.541152
-1.541152
-2.902295
-2.977278
16.270215
17.63279
14.588683
-2.977278
2.902295
0.000524
8.864184
4.175877
2.377021
14.330824
14.233534
1.542438
3
train
H0
H08
500
500
0
0
0
0.193578
-0.193578
0.243012
0.242771
1.017029
1.199043
0.720992
0.242771
0.243012
0.69733
0.058938
0.009104
0.03746
0.388061
0.369984
0.193675
3
train
H1
H08
500
500
0
0
0
-0.431171
0.431171
-1.143992
-1.153644
12.07823
13.72364
10.205604
-0.431171
1.143992
0.003307
1.330894
0.006704
0.185935
6.348663
6.209329
-0.431387
3
train
H0
H08
1,000
1,000
0
0
0
-1.051175
1.051175
0.577492
0.57719
1.055297
3.452722
1.555144
-1.051175
1.051175
0.293058
0.333148
0.719976
1.10496
0.002578
0.00561
-1.051438
3
train
H1
H08
1,000
1,000
0
0
0
1.107551
-1.107551
-1.603053
-1.606315
3.248633
3.891071
2.920104
1.107551
1.603053
0.232224
2.580247
1.513552
1.226603
2.806809
2.880365
1.107828
3
train
H0
H08
20
20
10
5
10
1.042035
-0.97837
-1.439402
-1.465068
2.478495
2.4926
2.560041
-1.465068
1.439402
0.278032
2.146425
1.534211
0.960073
2.275947
2.30115
1.013245
3
train
H1
H08
20
20
10
15
5
-0.340588
0.330257
0.297688
0.292764
0.088505
4.094635
0.118105
0.292764
0.330257
0.251425
0.085711
0.053229
0.108844
0.056694
0.008926
-0.336245
3
train
H0
H08
30
30
10
10
13.333333
-0.148218
0.192207
-0.233603
-0.234246
1.339147
5.927769
0.899806
-0.234246
0.233603
0.115178
0.054871
0.008797
0.03673
0.439868
0.309453
-0.208035
3
train
H1
H08
30
30
10
3.333333
6.666667
-1.168858
1.187719
0.274581
0.273215
3.958684
4.622315
4.303282
-1.168858
1.187719
0.116293
0.074646
0.670848
1.418528
0.75858
0.733708
-1.192193
3
train
H0
H08
50
50
10
10
8
0.481829
-0.482845
-0.545442
-0.539448
0.299169
0.54914
0.291027
-0.539448
0.545442
0.621749
0.291004
0.225234
0.228848
0.179101
0.147885
0.493373
3
train
H1
H08
50
50
10
10
10
1.290887
-1.28719
-1.735925
-1.78762
4.106318
6.037985
3.808311
-1.78762
1.735925
0.109777
3.195584
2.181193
1.638822
3.529684
3.374069
1.326735
3
train
H0
H08
75
75
10
10.666667
12
1.11701
-1.051556
-1.794577
-1.830678
4.589148
6.329654
4.999095
-1.830678
1.794577
0.082122
3.351383
2.103998
1.103365
4.748352
4.851907
1.065837
3
train
H1
H08
75
75
10
9.333333
4
-0.377634
0.382735
-0.291808
-0.291718
2.581868
3.758959
1.982024
-0.377634
0.382735
0.288696
0.0851
0.039191
0.147644
0.927735
0.792319
-0.386495
3
train
H0
H08
100
100
10
8
15
-0.01927
0
-0.207268
-0.206966
0.602063
3.432273
0.24738
-0.01927
0.207268
0.329653
0.042835
0.000478
0
0.149852
0.089179
0.001763
3
train
H1
H08
100
100
10
12
9
-0.19197
0.213608
-0.350391
-0.34974
1.243796
1.449113
1.40554
-0.34974
0.350391
0.495212
0.122318
0.000409
0.047209
0.768475
0.73937
-0.223318
3
train
H0
H08
150
150
10
8.666667
12.666667
0.094242
-0.102127
-0.133027
-0.132408
0.018867
0.142459
0.020431
-0.132408
0.133027
0.917672
0.017532
0.02327
0.010277
0.011466
0.017678
0.103367
3
train
H1
H08
150
150
10
8.666667
10
-0.210882
0.297539
-0.998515
-1.006457
4.516171
17.453412
7.116788
-1.006457
0.998515
0.00057
1.012957
0.135287
0.089454
4.820055
5.376085
-0.303474
3
train
H0
H08
200
200
10
9.5
10
0.22209
-0.248032
0.427807
0.427235
2.253904
2.785935
1.937948
0.427235
0.427807
0.379472
0.18253
0.000608
0.060798
1.11922
1.03084
0.249252
3
train
H1
H08
200
200
10
14.5
10.5
-0.63182
0.766999
-0.870691
-0.885809
8.809282
19.28287
11.949243
-0.885809
0.870691
0.000239
0.784657
0.000004
0.593097
6.704199
7.194977
-0.805192
3
train
H0
H08
300
300
10
12.666667
12.666667
0.858441
-0.869333
-0.535604
-0.533989
1.069383
1.134979
0.987767
0.858441
0.869333
0.375386
0.285144
0.608211
0.752206
0.000156
0.001913
0.88643
3
train
H1
H08
300
300
10
8.666667
7.666667
3.584033
-3.561275
-4.019077
-4.128247
17.169358
18.398078
17.096457
-4.128247
4.019077
0.000194
17.042423
14.916538
12.773869
13.508747
13.441836
3.614902
3
train
H0
H08
500
500
10
10.2
9.8
1.24893
-1.251552
-1.298374
-1.300335
1.697601
4.70845
1.735515
1.24893
1.298374
0.194434
1.69087
1.512908
1.564811
0.994318
0.938381
1.275753
3
train
H1
H08
500
500
10
9.2
9.2
-0.593027
0.629065
-0.456071
-0.457285
5.305678
5.572978
4.854376
-0.593027
0.629065
0.088285
0.20911
0.075246
0.396415
2.288799
2.201114
-0.639763
3
train
H0
H08
1,000
1,000
10
10.3
9.6
0.017048
-0.044991
0.504726
0.504773
1.363031
2.155828
1.241194
0.017048
0.504726
0.537623
0.254796
0.0248
0.00198
0.9025
0.84983
0.04521
3
train
H1
H08
1,000
1,000
10
8.2
9.8
1.034782
-0.956772
-2.889555
-2.913551
22.836656
25.696493
20.035063
-2.913551
2.889555
0.000011
8.488781
2.536679
0.91465
18.222497
18.054612
0.971259