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
int64
0
50
real_perc1
float64
0
95
real_perc2
float64
0
95
Peto_test
float64
-7.97
10.1
Gehan_test
float64
-10.22
8.5
logrank_test
float64
-8.93
6.76
CoxMantel_test
float64
-9.17
7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
-8.08
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
2
train
H0
H03
20
20
40
40
30
-1.663378
1.665858
1.506641
1.556162
2.934743
4.154104
2.848636
-1.663378
1.665858
0.080575
2.42164
2.847179
2.809571
0.907871
1.093334
-1.74736
2
train
H1
H03
20
20
40
45
50
0.110144
-0.187019
-0.028331
-0.028043
0.045304
5.304155
0.107616
0.110144
0.187019
0.150833
0.000786
0.00111
0.03483
0.036246
0.106153
0.201711
2
train
H0
H03
30
30
40
26.666667
33.333333
-0.264066
0.44087
-0.378448
-0.381733
4.422729
7.361499
3.97737
-0.381733
0.44087
0.061226
0.14572
0.022937
0.19396
2.030079
1.809469
-0.424778
2
train
H1
H03
30
30
40
26.666667
43.333333
-0.234156
0.364969
-0.154274
-0.152963
1.084103
1.687154
1.282011
-0.234156
0.364969
0.526762
0.023398
0.012829
0.133205
0.446365
0.47958
-0.372671
2
train
H0
H03
50
50
40
50
32
-2.374437
2.507152
1.868569
1.858642
7.553531
7.505329
7.503087
-2.374437
2.507152
0.008939
3.454548
5.386439
6.312166
0.065968
0.129341
-2.614392
2
train
H1
H03
50
50
40
44
46
-0.462357
0.656173
0.162533
0.161464
0.968347
3.360842
1.16198
0.161464
0.656173
0.339264
0.026071
0.168068
0.430772
0.138091
0.148273
-0.680345
2
train
H0
H03
75
75
40
30.666667
33.333333
0.599998
-0.65028
-0.361544
-0.360431
0.723109
0.776426
0.739088
0.599998
0.65028
0.505037
0.12991
0.295639
0.422283
0.027622
0.028603
0.666586
2
train
H1
H03
75
75
40
38.666667
37.333333
-1.825304
1.992761
1.316353
1.320054
4.636423
6.031453
5.049915
-1.825304
1.992761
0.039512
1.742542
2.963992
4.017302
0.000726
0.001775
-2.058814
2
train
H0
H03
100
100
40
40
43
0.368459
-0.312422
-0.548802
-0.546507
0.625517
1.924858
0.526678
-0.546507
0.548802
0.588148
0.29867
0.124344
0.097472
0.429002
0.41074
0.329949
2
train
H1
H03
100
100
40
26
34
1.23938
-1.182263
-1.513007
-1.514792
2.672641
3.877963
2.570085
-1.514792
1.513007
0.223948
2.294595
1.680348
1.397516
2.251273
2.05416
1.216098
2
train
H0
H03
150
150
40
40.666667
40.666667
0.860368
-0.863428
-0.829372
-0.830102
0.785378
1.765232
0.741621
0.860368
0.863428
0.372605
0.689069
0.859686
0.74602
0.277768
0.296451
0.891604
2
train
H1
H03
150
150
40
34.666667
44.666667
-0.582987
0.976824
-0.502699
-0.502675
12.803794
12.52545
12.964148
-0.502675
0.976824
0.001531
0.252682
0.176127
0.956141
5.978231
5.790392
-0.999532
2
train
H0
H03
200
200
40
38.5
39.5
0.135174
-0.04466
-0.24201
-0.241409
0.086728
2.180007
0.147904
0.135174
0.24201
0.535897
0.058278
0.040444
0.001993
0.10225
0.124962
0.047781
2
train
H1
H03
200
200
40
39.5
41
-1.065503
1.366941
0.325276
0.324462
5.34851
8.042758
6.067617
0.324462
1.366941
0.045136
0.105275
0.846781
1.869793
1.180731
1.191926
-1.408775
2
train
H0
H03
300
300
40
42
40.666667
0.344926
-0.47308
0.030908
0.030868
1.58183
1.744391
1.494794
0.344926
0.47308
0.473598
0.000953
0.092718
0.223665
0.488805
0.513509
0.49509
2
train
H1
H03
300
300
40
39
41.333333
-1.941919
2.368956
0.83003
0.831218
13.574322
18.637451
14.986342
0.831218
2.368956
0.000325
0.690924
3.013912
5.637354
2.218677
2.385064
-2.453159
2
train
H0
H03
500
500
40
38.6
39.2
1.553257
-1.653042
-1.139051
-1.139469
3.528145
3.524921
3.479888
-1.139469
1.653042
0.084897
1.29839
2.239486
2.73271
0.027075
0.034748
1.722955
2
train
H1
H03
500
500
40
39
39.8
-2.390302
2.804559
1.240225
1.24142
14.976982
19.522834
16.45828
-2.390302
2.804559
0.000213
1.541124
4.632362
7.88564
1.370409
1.377823
-2.90433
2
train
H0
H03
1,000
1,000
40
42.1
39.5
-1.165756
1.156993
1.176535
1.176063
1.38649
2.604043
1.409763
1.176063
1.176535
0.225766
1.383125
1.288167
1.338748
0.831378
0.811257
-1.211339
2
train
H1
H03
1,000
1,000
40
37.2
41.5
-1.106328
1.651289
-0.048741
-0.048834
9.767084
23.525928
12.903056
-0.048834
1.651289
0.000031
0.002385
0.565133
2.730827
4.225064
4.2578
-1.717197
2
train
H0
H03
20
20
50
50
30
-0.120311
-0.066581
0.62811
0.610781
2.344629
2.559383
2.228515
-0.120311
0.62811
0.328159
0.373054
0.028514
0.004417
1.890685
1.653836
0.057241
2
train
H1
H03
20
20
50
60
30
-2.161166
2.095348
1.989446
1.998579
4.920156
9.306121
5.050045
1.998579
2.095348
0.025486
3.994318
4.179801
4.477703
1.026164
0.946848
-2.148187
2
train
H0
H03
30
30
50
43.333333
33.333333
0.108237
-0.157012
0.025066
0.024663
0.148915
0.392298
0.171816
0.024663
0.157012
0.875383
0.000608
0.002141
0.024502
0.162743
0.235908
0.156825
2
train
H1
H03
30
30
50
56.666667
40
-1.318081
1.126854
1.692574
1.697765
4.935974
6.418528
4.819341
1.697765
1.692574
0.089845
2.882405
1.868689
1.269818
4.912849
4.799803
-1.170782
2
train
H0
H03
50
50
50
52
40
-1.982393
2.021697
1.822391
1.826922
4.088416
4.05042
4.08767
-1.982393
2.021697
0.034069
3.337645
3.980651
4.11965
1.140304
1.36871
-2.119257
2
train
H1
H03
50
50
50
50
62
0.883531
-0.451218
-1.360336
-1.373228
7.027685
6.989174
7.020949
-1.373228
1.360336
0.029883
1.885754
0.735964
0.20342
5.437857
5.344321
0.493432
2
train
H0
H03
75
75
50
57.333333
41.333333
-1.129926
0.9052
1.425883
1.428854
3.021732
3.08773
2.999336
-1.129926
1.425883
0.223204
2.041623
1.284207
0.818073
3.335778
3.338072
-0.938884
2
train
H1
H03
75
75
50
58.666667
40
-2.034483
1.943615
2.151702
2.157425
4.700313
5.211832
4.678406
2.157425
2.151702
0.041833
4.654482
4.02667
3.779433
3.060318
3.297596
-2.035182
2
train
H0
H03
100
100
50
52
46
-0.129565
0.23716
-0.08892
-0.088848
0.720002
2.14198
0.58636
-0.088848
0.23716
0.543467
0.007894
0.031888
0.056172
0.182026
0.123321
-0.247993
2
train
H1
H03
100
100
50
52
48
-1.195892
1.286315
0.932626
0.931747
2.220234
2.185923
2.20504
-1.195892
1.286315
0.178805
0.868153
1.385505
1.654783
0.030963
0.042021
-1.344445
2
train
H0
H03
150
150
50
49.333333
45.333333
-0.970881
0.980688
0.920056
0.919947
0.976137
1.241965
0.945021
0.919947
0.980688
0.301117
0.846303
1.049712
0.966674
0.345217
0.329291
-1.034041
2
train
H1
H03
150
150
50
50.666667
56.666667
0.001372
0.358075
-0.264854
-0.264721
0.582633
10.169858
0.938308
-0.264721
0.358075
0.017176
0.070077
0.000003
0.128223
0.526275
0.655914
-0.374583
2
train
H0
H03
200
200
50
50.5
47
-0.177861
-0.052883
0.545841
0.54461
2.10576
3.412327
1.917515
0.54461
0.545841
0.332312
0.296601
0.012389
0.002795
1.383137
1.264729
0.053163
2
train
H1
H03
200
200
50
45.5
56.5
-0.386883
0.743101
-0.166554
-0.167934
4.411894
5.29368
4.716743
-0.167934
0.743101
0.094574
0.028202
0.124032
0.553796
1.804444
1.785462
-0.788417
2
train
H0
H03
300
300
50
43
51.666667
0.346429
0.064341
-1.105311
-1.104527
8.685085
11.011405
8.159542
-1.104527
1.105311
0.011664
1.21998
0.098741
0.004141
5.792693
5.58697
-0.064148
2
train
H1
H03
300
300
50
42.666667
51.666667
-0.461098
0.957903
-0.438768
-0.438919
9.265539
10.303414
9.796623
-0.438919
0.957903
0.007459
0.19265
0.144077
0.919331
4.439995
4.386233
-1.000608
2
train
H0
H03
500
500
50
50.8
50.2
0.425867
-0.617966
-0.024731
-0.024712
2.289581
3.29087
2.106531
-0.024712
0.617966
0.348797
0.000611
0.201537
0.381575
0.637743
0.606431
0.656522
2
train
H1
H03
500
500
50
49.2
51.8
-1.570217
2.071752
0.784831
0.786205
9.768533
21.531109
10.972543
-1.570217
2.071752
0.000082
0.618118
2.124221
4.300464
1.43235
1.468896
-2.16567
2
train
H0
H03
1,000
1,000
50
49
48.7
-0.343812
0.133983
0.70281
0.703847
2.203529
3.166698
2.045051
0.703847
0.70281
0.359685
0.495401
0.097228
0.017949
1.655111
1.650584
-0.141394
2
train
H1
H03
1,000
1,000
50
50
47.4
-4.295048
5.071227
2.847032
2.851406
37.859515
53.968206
41.156806
-4.295048
5.071227
0
8.130515
17.330785
25.804284
1.271097
1.302673
-5.278048
2
train
H0
H04
20
20
0
0
0
0.757402
-0.757402
-0.103091
-0.101919
2.145066
2.253297
2.093352
-0.101919
0.757402
0.351103
0.010388
0.276362
0.572367
0.408159
0.329541
0.767051
2
train
H1
H04
20
20
0
0
0
-0.622152
0.622152
0.924049
0.915583
0.997781
1.03986
1.022829
0.915583
0.924049
0.528644
0.838292
0.581506
0.384238
1.230638
1.276639
-0.630078
2
train
H0
H04
30
30
0
0
0
-0.694868
0.694868
0.067332
0.066147
1.643558
1.559426
1.776049
-0.694868
0.694868
0.411468
0.004375
0.19903
0.481185
0.359463
0.303134
-0.700732
2
train
H1
H04
30
30
0
0
0
0.975772
-0.975772
-1.38361
-1.402302
2.496233
2.91605
2.380081
-1.402302
1.38361
0.304209
1.966452
1.330466
0.949692
2.075179
1.967346
0.984007
2
train
H0
H04
50
50
0
0
0
-1.068542
1.068542
1.259741
1.256716
1.579712
1.588002
1.584598
1.256716
1.259741
0.282856
1.579336
1.41739
1.141181
1.347709
1.391332
-1.073925
2
train
H1
H04
50
50
0
0
0
-1.130586
1.130586
1.475034
1.482012
2.283805
2.359397
2.334923
-1.130586
1.475034
0.255839
2.196359
1.763751
1.280533
2.247299
2.342886
-1.136282
2
train
H0
H04
75
75
0
0
0
1.479059
-1.479059
-0.807461
-0.805826
3.733589
4.376769
3.206475
1.479059
1.479059
0.140458
0.649355
1.714975
2.191805
0.007254
0.000003
1.474088
2
train
H1
H04
75
75
0
0
0
-0.881422
0.881422
0.544158
0.539004
0.652467
1.877223
0.992989
-0.881422
0.881422
0.379695
0.290525
0.495361
0.77629
0.004594
0.000519
-0.878459
2
train
H0
H04
100
100
0
0
0
-0.090405
0.090405
0.416085
0.413768
0.239362
2.247892
0.474089
0.413768
0.416085
0.522577
0.171204
0.088318
0.008163
0.436455
0.539781
-0.090632
2
train
H1
H04
100
100
0
0
0
0.320084
-0.320084
-0.638089
-0.635773
0.632914
0.824413
0.637045
-0.635773
0.638089
0.727223
0.404208
0.21412
0.102277
0.57312
0.515603
0.320887
2
train
H0
H04
150
150
0
0
0
0.374044
-0.374044
-0.606177
-0.603633
0.568959
0.77774
0.458825
0.374044
0.606177
0.707907
0.364373
0.178482
0.139738
0.418445
0.387097
0.374669
2
train
H1
H04
150
150
0
0
0
-0.88253
0.88253
0.803306
0.799667
0.711015
1.128677
0.782788
-0.88253
0.88253
0.376694
0.639467
0.724396
0.778427
0.279535
0.257007
-0.884005
2
train
H0
H04
200
200
0
0
0
0.423823
-0.423823
-0.864032
-0.865891
1.750264
3.123612
1.217157
0.423823
0.864032
0.372956
0.749767
0.257743
0.179505
1.156348
1.0768
0.424354
2
train
H1
H04
200
200
0
0
0
-1.9591
1.9591
1.331746
1.329671
3.133172
5.146446
4.425951
-1.9591
1.9591
0.049814
1.768025
2.698912
3.849968
0.086441
0.071335
-1.961554
2
train
H0
H04
300
300
0
0
0
-0.454998
0.454998
0.64754
0.646312
0.446958
0.973567
0.463983
-0.454998
0.64754
0.648838
0.417719
0.294109
0.206902
0.473379
0.525335
-0.455377
2
train
H1
H04
300
300
0
0
0
-1.252892
1.252892
0.916541
0.914961
1.518818
2.970835
1.691987
-1.252892
1.252892
0.209865
0.837154
1.340252
1.570382
0.107607
0.089049
-1.253938
2
train
H0
H04
500
500
0
0
0
0.469492
-0.469492
-0.128023
-0.127774
0.645489
0.784411
0.535138
-0.127774
0.469492
0.63855
0.016326
0.13604
0.220339
0.070104
0.05931
0.469727
2
train
H1
H04
500
500
0
0
0
-0.548106
0.548106
0.123078
0.123064
0.233236
6.52105
0.808355
-0.548106
0.548106
0.088836
0.015145
0.091359
0.300377
0.110385
0.141644
-0.54838
2
train
H0
H04
1,000
1,000
0
0
0
0.449696
-0.449696
-0.051333
-0.051331
1.182676
2.245896
0.666097
-0.051331
0.449696
0.522965
0.002635
0.143422
0.202194
0.13687
0.124349
0.449808
2
train
H1
H04
1,000
1,000
0
0
0
-3.451437
3.451437
2.714842
2.717817
11.228146
10.454908
12.241819
-3.451437
3.451437
0.000556
7.386531
10.221025
11.930563
1.444775
1.505901
-3.4523
2
train
H0
H04
20
20
10
0
20
2.189827
-2.178349
-2.328856
-2.406003
5.790083
5.797648
5.789263
-2.406003
2.328856
0.02584
5.78885
5.484488
4.838469
4.007356
4.089032
2.228603
2
train
H1
H04
20
20
10
0
0
-2.136957
2.136957
1.734587
1.761951
4.67039
5.391705
4.80921
-2.136957
2.136957
0.03045
3.104472
4.248344
4.700433
0.402748
0.431446
-2.164181
2
train
H0
H04
30
30
10
6.666667
13.333333
0.05173
-0.092196
-0.090115
-0.088577
0.031038
0.78376
0.011733
0.05173
0.092196
0.853347
0.007846
0.005963
0.00845
0.000603
0.002835
0.096215
2
train
H1
H04
30
30
10
13.333333
13.333333
-0.139118
0.126205
0.145096
0.143388
0.030509
1.027667
0.020994
-0.139118
0.145096
0.794558
0.02056
0.008381
0.015842
0.045362
0.025489
-0.127653
2
train
H0
H04
50
50
10
10
14
0.098723
-0.070707
-0.150965
-0.149888
0.027128
0.139136
0.03005
-0.149888
0.150965
0.942582
0.022467
0.011085
0.004983
0.017337
0.002694
0.072025
2
train
H1
H04
50
50
10
14
4
-0.43839
0.408792
0.907756
0.899933
1.583298
1.652725
1.493466
-0.43839
0.907756
0.473912
0.80988
0.349222
0.166675
1.553764
1.459568
-0.419982
2
train
H0
H04
75
75
10
5.333333
6.666667
-0.864611
0.854039
0.908872
0.907607
0.843577
0.92319
0.839882
-0.864611
0.908872
0.39265
0.82375
0.824454
0.729241
0.574559
0.553488
-0.854822
2
train
H1
H04
75
75
10
9.333333
2.666667
-1.967361
1.943004
2.363084
2.40942
6.096137
6.199664
6.018999
2.40942
2.363084
0.049316
5.805305
4.606618
3.78606
5.488171
5.513058
-1.940368
2
train
H0
H04
100
100
10
11
7
-1.274216
1.333048
0.348442
0.347029
3.754519
4.192656
4.607708
-1.274216
1.333048
0.099873
0.120429
0.873949
1.780839
0.699066
0.67263
-1.344515
2
train
H1
H04
100
100
10
16
12
-1.81378
1.840656
1.452745
1.452201
3.221113
4.861461
3.486197
-1.81378
1.840656
0.062513
2.108889
2.91775
3.398349
0.371293
0.322691
-1.86264
2
train
H0
H04
150
150
10
8
5.333333
1.053953
-1.028966
-1.674132
-1.705695
4.502506
5.380437
4.193278
-1.705695
1.674132
0.122869
2.909395
1.665612
1.058745
4.025876
3.956485
1.019054
2
train
H1
H04
150
150
10
11.333333
11.333333
-0.802888
0.855176
-0.003873
-0.003865
2.250703
5.611443
3.363671
-0.003865
0.855176
0.132123
0.000015
0.187734
0.73217
0.912612
1.025526
-0.860363
2
train
H0
H04
200
200
10
12
8
-1.493771
1.501032
1.125779
1.126987
2.996287
4.61669
2.454971
-1.493771
1.501032
0.130156
1.270099
2.182788
2.254367
0.148037
0.19426
-1.513486
2
train
H1
H04
200
200
10
8
11.5
0.509802
-0.462061
-1.431158
-1.43724
5.671166
6.044856
5.130446
0.509802
1.431158
0.076902
2.06566
0.627951
0.213354
4.48691
4.313366
0.470105
2
train
H0
H04
300
300
10
10.333333
11
-1.029235
1.024255
1.140712
1.142586
1.336451
2.362791
1.305664
-1.029235
1.140712
0.301817
1.305502
1.08032
1.049722
0.980954
0.957868
-1.032545
2
train
H1
H04
300
300
10
9.666667
11.333333
-0.952925
1.013992
-0.256151
-0.256806
6.895347
8.403619
7.398728
-0.952925
1.013992
0.024739
0.065949
0.283297
1.029213
2.731866
2.748448
-1.01961
2
train
H0
H04
500
500
10
7.6
10.4
0.340584
-0.287962
-1.466484
-1.46886
7.806686
9.549162
6.668615
-1.46886
1.466484
0.022814
2.157549
0.452468
0.082903
5.458611
5.287251
0.291829
2
train
H1
H04
500
500
10
9.8
9.4
-1.55248
1.57062
1.119465
1.118556
2.477788
3.849893
2.757259
-1.55248
1.57062
0.113895
1.251167
2.011846
2.467959
0.107312
0.088063
-1.580926
2
train
H0
H04
1,000
1,000
10
10.7
10.8
0.152021
-0.18406
0.335654
0.335602
0.873061
2.515157
1.106889
0.335602
0.335654
0.472558
0.112629
0.00097
0.033873
0.64677
0.675726
0.185395
2
train
H1
H04
1,000
1,000
10
11.2
10
-3.909667
3.93202
3.06498
3.070398
16.178189
15.852151
16.219058
-3.909667
3.93202
0.000076
9.427342
13.829563
15.490815
1.480404
1.552466
-3.957988
2
train
H0
H04
20
20
20
10
30
2.400257
-2.373942
-2.38777
-2.497924
6.303042
6.325338
6.301085
-2.497924
2.38777
0.01411
6.239627
6.204568
5.756244
3.901144
3.933293
2.454446
2
train
H1
H04
20
20
20
30
30
-1.027103
1.161384
0.388847
0.383038
4.492978
5.015997
4.224274
0.383038
1.161384
0.120979
0.146718
0.859075
1.350472
0.971712
0.65293
-1.141174
2
train
H0
H04
30
30
20
13.333333
13.333333
-0.905859
0.935562
0.611713
0.607091
0.990987
1.254837
1.093513
-0.905859
0.935562
0.339195
0.368559
0.655182
0.878475
0.014785
0.018798
-0.955757
2
train
H1
H04
30
30
20
23.333333
20
-1.128014
1.189246
0.682988
0.683671
2.103539
2.143395
2.273791
0.683671
1.189246
0.221096
0.467406
0.960384
1.420623
0.029392
0.015505
-1.223619
2
train
H0
H04
50
50
20
18
26
1.785005
-1.767934
-1.913743
-1.951668
3.809016
5.274417
3.82182
-1.951668
1.913743
0.074147
3.809006
3.744053
3.140059
2.814503
3.015096
1.785702
2
train
H1
H04
50
50
20
8
26
0.125559
-0.078515
-0.631721
-0.625974
1.640398
1.605135
1.607928
0.125559
0.631721
0.447551
0.391843
0.091438
0.006146
1.072358
1.001315
0.087219
2
train
H0
H04
75
75
20
20
24
-0.183319
0.157865
0.336121
0.337418
0.45128
5.332046
0.244766
-0.183319
0.336121
0.149036
0.113851
0.020326
0.024869
0.277521
0.199776
-0.161171
2
train
H1
H04
75
75
20
18.666667
24
1.039264
-1.049105
-0.853993
-0.856329
1.524492
6.621191
1.156945
-0.856329
1.049105
0.085004
0.7333
1.216825
1.101112
0.163882
0.237411
1.062816
2
train
H0
H04
100
100
20
19
16
-0.2743
0.170081
1.14351
1.156595
5.948835
6.649945
5.489309
1.156595
1.14351
0.064271
1.337711
0.289623
0.028895
4.225232
4.137691
-0.167645
2
train
H1
H04
100
100
20
23
25
0.023309
-0.020795
0.099189
0.099165
0.281992
3.725842
0.103901
0.099165
0.099189
0.292631
0.009834
0.003141
0.000432
0.074643
0.047163
0.019464
2
train
H0
H04
150
150
20
21.333333
24
0.440718
-0.446091
-0.449472
-0.447886
0.213655
2.948827
0.205952
0.440718
0.449472
0.399583
0.200602
0.1582
0.198819
0.097785
0.068318
0.453218
2
train
H1
H04
150
150
20
20
17.333333
-0.540718
0.542665
0.429521
0.428172
0.496765
2.545391
0.317411
0.428172
0.542665
0.467144
0.183331
0.342572
0.294146
0.037106
0.057891
-0.549986
2
train
H0
H04
200
200
20
20.5
20.5
0.22627
-0.202945
-0.192739
-0.19268
0.106023
1.28125
0.052237
-0.19268
0.202945
0.73359
0.037125
0.062532
0.041163
0.004474
0.010121
0.206766
2
train
H1
H04
200
200
20
20
21.5
-0.205065
0.155353
0.388981
0.388615
0.326692
0.382437
0.301013
0.388615
0.388981
0.860272
0.151022
0.052646
0.024115
0.320063
0.345104
-0.156436
2
train
H0
H04
300
300
20
17.666667
20.333333
-0.742119
0.836601
-0.117117
-0.117091
4.458595
4.505924
4.238617
-0.742119
0.836601
0.120115
0.01371
0.253921
0.700393
1.402278
1.302073
-0.847534
2
train
H1
H04
300
300
20
21
21
-0.754162
0.753849
0.776052
0.775713
0.605381
3.083003
0.613474
0.775713
0.776052
0.379004
0.60173
0.521248
0.568223
0.398678
0.341411
-0.768469
2
train
H0
H04
500
500
20
20.2
20
1.397034
-1.340995
-1.571505
-1.576049
2.49954
5.550754
2.496862
-1.576049
1.571505
0.135634
2.48393
2.423123
1.798969
1.946174
2.001582
1.359256
2
train
H1
H04
500
500
20
20.4
21.4
-1.687071
1.753042
1.17286
1.173932
3.296527
5.15589
3.725143
-1.687071
1.753042
0.075358
1.378117
2.356551
3.074691
0.035615
0.027386
-1.778276
2
train
H0
H04
1,000
1,000
20
19.7
19.4
-0.495604
0.513631
0.453439
0.453231
0.24943
0.370157
0.245639
-0.495604
0.513631
0.602811
0.205418
0.269954
0.263775
0.08475
0.075447
-0.520363
2
train
H1
H04
1,000
1,000
20
20.7
20.1
-2.061306
2.134977
1.296461
1.297594
7.134802
7.861179
6.364542
-2.061306
2.134977
0.030309
1.68375
3.818459
4.5605
0.005737
0.00406
-2.166026