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
7,647
train
H0
H24
20
20
0
0
0
-0.946753
0.946753
0.709637
0.69963
1.226023
2.295895
0.980802
0.69963
0.946753
0.337652
0.489482
0.852249
0.893997
0.076077
0.190229
-0.958814
7,647
train
H1
H24
20
20
0
0
0
0.568052
-0.568052
-0.024384
-0.024259
1.948432
3.4526
1.464974
-0.024259
0.568052
0.326962
0.000588
0.178419
0.322074
0.317671
0.20207
0.575288
7,647
train
H0
H24
30
30
0
0
0
1.271461
-1.271461
-1.811819
-1.886781
5.132539
7.876493
4.778999
-1.886781
1.811819
0.048634
3.559943
2.346598
1.618735
4.444205
4.235691
1.28219
7,647
train
H1
H24
30
30
0
0
0
-0.90185
0.90185
1.211567
1.215797
1.656353
1.711051
1.635994
1.215797
1.211567
0.363107
1.478161
1.085312
0.81125
1.683844
1.652243
-0.909461
7,647
train
H0
H24
50
50
0
0
0
0.572187
-0.572187
-0.762888
-0.754238
0.592713
0.598076
0.601624
0.572187
0.762888
0.565244
0.568876
0.455844
0.326501
0.49384
0.473373
0.57507
7,647
train
H1
H24
50
50
0
0
0
0.813471
-0.813471
-0.507043
-0.502699
1.206832
1.87263
0.847004
0.813471
0.813471
0.413603
0.252707
0.631748
0.662827
0.00261
0.018202
0.817569
7,647
train
H0
H24
75
75
0
0
0
-3.245662
3.245662
3.459483
3.65639
13.369215
13.374408
13.369559
-3.245662
3.459483
0.001217
13.369187
12.38981
10.743748
9.41769
9.631726
-3.234752
7,647
train
H1
H24
75
75
0
0
0
-0.347682
0.347682
0.523785
0.525008
0.726151
6.701915
0.334302
0.525008
0.523785
0.082031
0.275633
0.088795
0.12072
0.347331
0.258033
-0.346514
7,647
train
H0
H24
100
100
0
0
0
-1.993805
1.993805
0.953554
0.962493
8.317785
11.784482
6.781317
-1.993805
1.993805
0.008159
0.926393
2.992921
3.993349
0.278128
0.182087
-1.998809
7,647
train
H1
H24
100
100
0
0
0
-0.381169
0.381169
1.202784
1.219476
4.6901
6.381651
3.764138
1.219476
1.202784
0.094449
1.487121
0.408713
0.145062
3.327511
3.161204
-0.382125
7,647
train
H0
H24
150
150
0
0
0
-0.622963
0.622963
0.794712
0.79229
0.713908
1.603291
0.646531
-0.622963
0.794712
0.532625
0.627723
0.44832
0.387715
0.615071
0.55814
-0.624003
7,647
train
H1
H24
150
150
0
0
0
-2.352083
2.352083
2.011682
2.024578
4.600313
9.929417
5.561996
-2.352083
2.352083
0.018472
4.098916
4.613078
5.555099
1.246919
1.153627
-2.356013
7,647
train
H0
H24
200
200
0
0
0
0.403929
-0.403929
-0.207639
-0.206801
0.154258
1.070594
0.247262
0.403929
0.403929
0.685893
0.042767
0.106062
0.163047
0.003439
0.008391
0.404435
7,647
train
H1
H24
200
200
0
0
0
0.924626
-0.924626
-0.683054
-0.684811
1.501022
2.24472
0.917321
-0.684811
0.924626
0.354558
0.468966
1.014711
0.856517
0.100496
0.095382
0.925784
7,647
train
H0
H24
300
300
0
0
0
0.26989
-0.26989
-0.230025
-0.230006
0.079495
3.534504
0.072914
0.26989
0.26989
0.316315
0.052903
0.040476
0.072819
0.01588
0.006422
0.270115
7,647
train
H1
H24
300
300
0
0
0
-1.283037
1.283037
1.1228
1.122288
1.314487
3.006308
1.647321
-1.283037
1.283037
0.199104
1.259529
1.278521
1.647146
0.431775
0.390536
-1.284108
7,647
train
H0
H24
500
500
0
0
0
0.013358
-0.013358
-0.443157
-0.442724
0.800588
1.177626
0.753555
0.013358
0.443157
0.686069
0.196004
0.035299
0.000178
0.558352
0.519577
0.013364
7,647
train
H1
H24
500
500
0
0
0
1.000737
-1.000737
-0.087984
-0.088659
7.361502
21.963357
3.623418
-0.088659
1.000737
0.000066
0.00786
0.859728
1.002263
0.656905
0.587327
1.001237
7,647
train
H0
H24
1,000
1,000
0
0
0
-0.508551
0.508551
0.498428
0.497896
0.253358
0.413305
0.271721
0.497896
0.508551
0.610978
0.2479
0.24707
0.258582
0.132179
0.124536
-0.508678
7,647
train
H1
H24
1,000
1,000
0
0
0
0.204597
-0.204597
0.756124
0.758843
6.053301
9.053399
3.657988
0.204597
0.756124
0.028589
0.575843
0.002143
0.04187
2.261925
2.201335
0.204648
7,647
train
H0
H24
20
20
10
5
15
-1.378905
1.442146
0.417705
0.416487
6.647639
7.698502
5.987097
-1.378905
1.442146
0.050109
0.173461
1.246818
2.0992
1.446536
1.09144
-1.445521
7,647
train
H1
H24
20
20
10
5
15
1.101628
-1.07827
-1.26136
-1.255906
1.608829
1.92577
1.59448
-1.255906
1.26136
0.269022
1.5773
1.3359
1.155525
1.076559
0.990068
1.105318
7,647
train
H0
H24
30
30
10
6.666667
6.666667
-0.168787
0.11557
0.248401
0.245579
0.09952
3.020289
0.072278
-0.168787
0.248401
0.388508
0.060309
0.077281
0.013311
0.08423
0.197947
-0.114056
7,647
train
H1
H24
30
30
10
13.333333
3.333333
-0.913361
0.909463
0.982391
0.97401
0.952311
2.224774
0.95495
0.97401
0.982391
0.355244
0.948696
0.830858
0.824279
0.781152
0.693944
-0.924466
7,647
train
H0
H24
50
50
10
0
6
1.736685
-1.731554
-1.984166
-2.010087
4.082809
4.261488
4.053008
1.736685
1.984166
0.080671
4.040451
3.464257
3.01098
3.014094
2.979244
1.746808
7,647
train
H1
H24
50
50
10
10
10
1.42098
-1.390734
-1.600096
-1.625479
2.650651
2.670581
2.658196
-1.625479
1.600096
0.15763
2.64218
2.394434
1.941704
1.966666
1.95413
1.413086
7,647
train
H0
H24
75
75
10
9.333333
8
0.13997
-0.191065
0.414446
0.413067
1.32331
1.195583
1.460683
0.13997
0.414446
0.481744
0.170624
0.005583
0.03648
0.895238
0.863196
0.192663
7,647
train
H1
H24
75
75
10
10.666667
17.333333
0.173598
-0.128543
-0.720731
-0.718966
2.134295
3.280037
1.869588
0.173598
0.720731
0.350431
0.516913
0.108679
0.016487
1.40439
1.237978
0.136142
7,647
train
H0
H24
100
100
10
9
10
0.793024
-0.818655
-0.215228
-0.214257
1.323588
2.929281
1.850085
0.793024
0.818655
0.396515
0.045906
0.283858
0.670118
0.254194
0.280655
0.824132
7,647
train
H1
H24
100
100
10
8
13
0.240558
-0.220722
-0.544967
-0.542278
0.541941
0.473449
0.591923
-0.542278
0.544967
0.743816
0.294065
0.144418
0.048667
0.494099
0.464961
0.225766
7,647
train
H0
H24
150
150
10
12
11.333333
0.375728
-0.401476
0.091366
0.091018
1.246815
1.463335
1.098056
0.375728
0.401476
0.577511
0.008284
0.058031
0.161012
0.399391
0.361038
0.402536
7,647
train
H1
H24
150
150
10
6
9.333333
0.512989
-0.496199
-1.016371
-1.014432
1.401911
2.37561
1.768518
-1.014432
1.016371
0.41302
1.029073
0.628634
0.246144
1.660792
1.703205
0.501018
7,647
train
H0
H24
200
200
10
9.5
6.5
0.172047
-0.178634
0.122347
0.121838
0.581762
1.374713
0.385748
0.121838
0.178634
0.711473
0.014844
0.011405
0.031882
0.194633
0.150202
0.179423
7,647
train
H1
H24
200
200
10
14
7
-2.062588
2.05095
2.070272
2.072034
4.395327
5.09813
4.512797
-2.062588
2.070272
0.03839
4.293324
4.27606
4.210673
2.359848
2.382923
-2.070664
7,647
train
H0
H24
300
300
10
11.333333
8.666667
-0.712575
0.673789
1.237227
1.237853
2.120578
3.190383
2.337651
-0.712575
1.237227
0.310732
1.53228
0.889601
0.453905
2.360746
2.454587
-0.679816
7,647
train
H1
H24
300
300
10
11.333333
9.333333
0.816708
-0.852959
-0.045178
-0.045151
3.510152
3.991434
3.019393
0.816708
0.852959
0.220977
0.002039
0.398555
0.727834
0.644591
0.61697
0.858179
7,647
train
H0
H24
500
500
10
13.6
10.4
-0.26752
0.2441
0.534138
0.533948
0.440408
1.848772
0.519763
0.533948
0.534138
0.60438
0.2851
0.147656
0.059567
0.502325
0.529321
-0.24642
7,647
train
H1
H24
500
500
10
11.2
9.6
-0.382959
0.390475
0.176853
0.176805
0.289857
0.597944
0.283745
-0.382959
0.390475
0.693966
0.03126
0.091666
0.152467
0.010381
0.005754
-0.393478
7,647
train
H0
H24
1,000
1,000
10
8.9
9
-1.258498
1.266448
1.034368
1.033928
1.584247
1.743992
1.619537
-1.258498
1.266448
0.202543
1.069007
1.471193
1.604151
0.261988
0.26806
-1.274339
7,647
train
H1
H24
1,000
1,000
10
9.9
10.2
-0.413292
0.412667
0.403462
0.404285
0.732485
12.521392
0.177035
0.404285
0.412667
0.005795
0.163446
0.010841
0.1704
0.062389
0.04393
-0.416064
7,647
train
H0
H24
20
20
20
15
35
0.644928
-0.596097
-1.076422
-1.077613
2.626866
2.803471
2.560924
-1.077613
1.076422
0.277909
1.16125
0.652221
0.3532
2.092465
2.074505
0.629324
7,647
train
H1
H24
20
20
20
15
25
0.844379
-0.842257
-0.892779
-0.904971
0.857999
7.815016
0.819672
-0.904971
0.892779
0.049994
0.818972
0.653093
0.706278
0.476298
0.35125
0.869208
7,647
train
H0
H24
30
30
20
16.666667
13.333333
-0.584816
0.557992
0.886606
0.904417
1.46785
2.759042
1.345076
0.904417
0.886606
0.430287
0.81797
0.477006
0.309921
1.573266
1.484489
-0.565974
7,647
train
H1
H24
30
30
20
20
10
-1.777421
1.752879
1.932491
1.955848
3.839077
4.733297
3.82645
-1.777421
1.932491
0.070708
3.825341
3.418394
3.097415
3.124746
3.045043
-1.807346
7,647
train
H0
H24
50
50
20
16
20
-0.214906
0.30355
-0.386312
-0.384004
1.634323
4.527733
2.146412
-0.384004
0.386312
0.20983
0.147459
0.00112
0.09203
1.097172
1.078016
-0.299174
7,647
train
H1
H24
50
50
20
14
16
-0.255708
0.313914
-0.300013
-0.298045
1.206117
3.929294
1.668026
-0.298045
0.313914
0.269201
0.088831
0.000016
0.098399
0.769455
0.865165
-0.317082
7,647
train
H0
H24
75
75
20
14.666667
16
-0.732614
0.810323
0.030866
0.031124
4.055229
8.242951
3.042994
-0.732614
0.810323
0.041249
0.000969
0.388091
0.657573
0.939239
0.765971
-0.811118
7,647
train
H1
H24
75
75
20
16
17.333333
-1.321682
1.391497
0.670299
0.665685
3.043146
2.772517
3.268544
-1.321682
1.391497
0.157884
0.443137
1.259305
1.936761
0.105346
0.067438
-1.412225
7,647
train
H0
H24
100
100
20
21
22
-0.323323
0.285226
0.482542
0.483658
0.365527
0.430231
0.347486
-0.323323
0.482542
0.770218
0.233925
0.129975
0.081274
0.387016
0.390284
-0.29209
7,647
train
H1
H24
100
100
20
20
11
-0.258328
0.254303
0.29991
0.298554
0.208487
5.380001
0.08981
0.298554
0.29991
0.145995
0.089135
0.026974
0.06462
0.088206
0.036256
-0.263376
7,647
train
H0
H24
150
150
20
21.333333
14.666667
0.33714
-0.422702
0.349639
0.348265
2.137328
2.607288
2.568775
0.33714
0.422702
0.27682
0.121289
0.005987
0.178543
1.249388
1.248286
0.427843
7,647
train
H1
H24
150
150
20
14.666667
18.666667
-0.662087
0.654254
0.654762
0.657207
0.433314
0.716555
0.454922
0.657207
0.654762
0.508227
0.431921
0.387653
0.427816
0.269327
0.272028
-0.661601
7,647
train
H0
H24
200
200
20
18
23
0.845754
-0.817607
-0.837923
-0.836375
0.799119
2.3651
0.739353
-0.836375
0.837923
0.402024
0.699523
0.757498
0.667982
0.349774
0.427588
0.838012
7,647
train
H1
H24
200
200
20
22.5
19.5
0.007719
0.067714
-0.611165
-0.612176
2.423073
2.260568
2.402558
0.007719
0.611165
0.300809
0.37476
0.040184
0.004589
1.575293
1.50441
-0.069592
7,647
train
H0
H24
300
300
20
19
19.666667
-1.230026
1.253448
0.945577
0.946513
1.774956
1.862789
1.705307
-1.230026
1.253448
0.202215
0.895887
1.407203
1.571932
0.114771
0.114672
-1.275266
7,647
train
H1
H24
300
300
20
19.666667
21.333333
0.094442
-0.041196
-0.184407
-0.184117
0.090745
6.287233
0.066096
0.094442
0.184407
0.098442
0.033899
0.069391
0.001697
0.063261
0.091575
0.04155
7,647
train
H0
H24
500
500
20
21
20
0.641817
-0.704664
-0.137201
-0.137066
1.394372
2.39343
1.704927
0.641817
0.704664
0.426363
0.018787
0.204347
0.496496
0.313764
0.31604
0.715207
7,647
train
H1
H24
500
500
20
19.8
22.8
1.257116
-1.289433
-0.863963
-0.865394
3.279877
11.799278
2.099196
1.257116
1.289433
0.008103
0.748906
1.793837
1.663209
0.030911
0.046608
1.312513
7,647
train
H0
H24
1,000
1,000
20
19.9
20.3
-0.289921
0.306427
0.163127
0.163035
0.121871
0.242866
0.146135
0.163035
0.306427
0.755272
0.02658
0.06069
0.093905
0.00067
0.000855
-0.311695
7,647
train
H1
H24
1,000
1,000
20
20.3
22.2
1.414521
-1.196505
-2.484384
-2.49404
8.614512
22.271839
10.917425
-2.49404
2.484384
0.000057
6.220233
3.933645
1.43381
10.767754
10.904525
1.215716
7,647
train
H0
H24
20
20
30
30
20
-1.341926
1.345603
1.256728
1.254521
1.737557
3.288996
1.821042
1.254521
1.345603
0.153514
1.573823
1.724604
1.829003
0.732529
0.681924
-1.42723
7,647
train
H1
H24
20
20
30
25
30
-0.146401
0.336967
-0.645663
-0.6383
4.099957
4.078063
4.27101
-0.6383
0.645663
0.118185
0.407427
0.007182
0.113349
2.351943
2.261252
-0.282397
7,647
train
H0
H24
30
30
30
30
30
0.721565
-0.634997
-1.001395
-1.01161
1.668817
2.440593
1.53666
-1.01161
1.001395
0.463787
1.023354
0.56051
0.402485
1.297702
1.184293
0.658448
7,647
train
H1
H24
30
30
30
33.333333
20
0.288177
-0.3367
0.065501
0.065091
1.102668
1.527769
0.991069
0.288177
0.3367
0.609245
0.004237
0.036683
0.113012
0.395263
0.3572
0.344066
7,647
train
H0
H24
50
50
30
34
32
-0.39371
0.244976
0.725371
0.726231
1.240668
2.2743
1.389926
-0.39371
0.725371
0.499093
0.527411
0.239778
0.060116
1.335214
1.366193
-0.260851
7,647
train
H1
H24
50
50
30
24
34
-0.732026
0.819481
0.42002
0.421244
0.973257
1.706914
1.119689
-0.732026
0.819481
0.39766
0.177447
0.417958
0.673412
0.012568
0.013464
-0.845808
7,647
train
H0
H24
75
75
30
26.666667
32
0.649863
-0.642729
-0.642479
-0.63933
0.480936
1.94264
0.429337
-0.63933
0.642729
0.507565
0.408742
0.519737
0.412202
0.177726
0.209147
0.662634
7,647
train
H1
H24
75
75
30
28
32
0.128433
-0.044976
-0.510227
-0.508887
1.098011
2.404489
1.315272
0.128433
0.510227
0.492799
0.258966
0.085723
0.002021
0.882611
0.902631
0.0482
7,647
train
H0
H24
100
100
30
34
32
-0.091791
0.051539
0.182089
0.18135
0.046977
1.535604
0.086663
0.18135
0.182089
0.674078
0.032888
0.029545
0.0028
0.097005
0.149895
-0.056504
7,647
train
H1
H24
100
100
30
23
30
-0.167125
0.171831
-0.116882
-0.11661
0.53981
0.494022
0.620006
-0.167125
0.171831
0.733445
0.013598
0.001529
0.029509
0.221554
0.206668
-0.17281
7,647
train
H0
H24
150
150
30
29.333333
30
-1.399529
1.618601
0.453274
0.452823
6.897122
8.614944
7.557318
-1.399529
1.618601
0.022853
0.205049
1.323117
2.623348
1.288152
1.291574
-1.659376
7,647
train
H1
H24
150
150
30
36
31.333333
0.468771
-0.455744
-0.454287
-0.455868
0.282064
2.934122
0.221303
-0.455868
0.455744
0.401894
0.207815
0.30439
0.207684
0.120524
0.114531
0.464377
7,647
train
H0
H24
200
200
30
31
36
0.476315
-0.333246
-0.885479
-0.883659
1.810974
1.851666
1.772231
-0.883659
0.885479
0.412254
0.780853
0.29521
0.110958
1.551135
1.519987
0.346858
7,647
train
H1
H24
200
200
30
31.5
34
-0.25788
0.378794
-0.12153
-0.121315
0.887721
2.48668
1.152596
-0.121315
0.378794
0.477703
0.014717
0.014611
0.143506
0.40973
0.422347
-0.390986
7,647
train
H0
H24
300
300
30
25.666667
26
0.215202
-0.15692
-0.550501
-0.550102
1.043715
1.667932
0.895187
-0.550102
0.550501
0.639165
0.302612
0.07329
0.024608
0.713692
0.65622
0.162285
7,647
train
H1
H24
300
300
30
27.333333
29.333333
0.134516
-0.146474
-0.086554
-0.086457
0.06456
0.196614
0.028633
0.134516
0.146474
0.880683
0.007475
0.036332
0.021445
0.000925
0.001262
0.150104
7,647
train
H0
H24
500
500
30
28
28.2
-0.028318
0.02342
-0.034626
-0.034581
0.03449
0.137443
0.028188
-0.034581
0.034626
0.980977
0.001196
0.000018
0.000548
0.009132
0.007299
-0.023844
7,647
train
H1
H24
500
500
30
35
30
-0.933955
1.042045
0.598055
0.598311
1.049666
6.860839
1.517849
0.598311
1.042045
0.076468
0.357976
0.605962
1.085943
0.003389
0.009115
-1.075358
7,647
train
H0
H24
1,000
1,000
30
32.4
28.9
-0.64236
0.583837
0.809505
0.809181
0.744398
0.801774
0.752397
0.809181
0.809505
0.546479
0.654773
0.476855
0.340806
0.744044
0.736109
-0.603045
7,647
train
H1
H24
1,000
1,000
30
29.7
30.9
1.019743
-0.897719
-1.429568
-1.430526
2.438341
4.577325
2.811242
1.019743
1.429568
0.205496
2.046405
1.587705
0.806264
2.809168
2.810327
0.921512
7,647
train
H0
H24
20
20
40
45
45
1.169993
-1.206549
-0.989259
-1.012772
1.710162
3.4922
1.605594
1.169993
1.206549
0.206515
1.025706
1.438659
1.467308
0.114916
0.186777
1.263205
7,647
train
H1
H24
20
20
40
40
35
0.331813
-0.331953
-0.365478
-0.362777
0.132167
0.959332
0.136272
-0.362777
0.365478
0.732406
0.131607
0.13713
0.11
0.023844
0.03287
0.341927
7,647
train
H0
H24
30
30
40
36.666667
43.333333
0.322102
-0.245529
-0.523422
-0.512822
0.476644
0.841359
0.527242
-0.512822
0.523422
0.768265
0.262987
0.131526
0.046307
0.398406
0.367176
0.238027
7,647
train
H1
H24
30
30
40
46.666667
40
0.281599
-0.414336
-0.130421
-0.1306
0.363369
0.732582
0.324163
-0.1306
0.414336
0.663609
0.017056
0.1203
0.171305
0.075124
0.050045
0.434936
7,647
train
H0
H24
50
50
40
46
36
-1.233006
1.273606
1.037564
1.036946
1.924413
3.788265
1.784551
-1.233006
1.273606
0.182705
1.075258
1.577043
1.624908
0.218046
0.30139
-1.332473
7,647
train
H1
H24
50
50
40
44
32
-0.834797
0.944965
0.472084
0.469937
1.725854
1.624649
1.732327
0.469937
0.944965
0.322219
0.22084
0.596866
0.898789
0.042766
0.02001
-0.989908
7,647
train
H0
H24
75
75
40
52
38.666667
-1.312059
1.15206
1.542211
1.535901
2.678672
2.726854
2.695375
1.535901
1.542211
0.225894
2.358991
1.794937
1.326364
2.952544
2.948306
-1.211003
7,647
train
H1
H24
75
75
40
42.666667
45.333333
0.565585
-0.426249
-0.776616
-0.777404
1.005941
1.084163
0.974468
-0.777404
0.776616
0.614323
0.604356
0.296142
0.181384
0.827332
0.867383
0.449852
7,647
train
H0
H24
100
100
40
48
44
-1.31681
1.388305
1.109657
1.106889
2.026569
1.994658
2.056988
1.106889
1.388305
0.147772
1.225204
1.652139
1.927012
0.220043
0.260751
-1.447447
7,647
train
H1
H24
100
100
40
34
39
0.208035
0.04408
-0.971772
-0.973084
5.840093
5.871606
5.894089
-0.973084
0.971772
0.052495
0.946893
0.144414
0.001942
3.933979
3.881573
-0.039185
7,647
train
H0
H24
150
150
40
44.666667
40
-0.529908
0.379865
0.869329
0.870477
1.931918
2.141853
1.854032
0.870477
0.869329
0.395733
0.75773
0.318962
0.144181
1.622375
1.765398
-0.398237
7,647
train
H1
H24
150
150
40
44.666667
32.666667
-1.654919
1.732973
1.321179
1.321084
3.229548
3.850474
3.369774
-1.654919
1.732973
0.071998
1.745263
2.512856
3.001758
0.175953
0.175299
-1.79913
7,647
train
H0
H24
200
200
40
38.5
45
0.909257
-0.91933
-0.761527
-0.760002
0.971565
1.118928
0.918866
0.909257
0.91933
0.334527
0.577603
0.833989
0.844539
0.074414
0.079618
0.965036
7,647
train
H1
H24
200
200
40
37
40
-0.122275
0.577278
-0.905819
-0.908629
8.856046
10.526447
9.665423
-0.908629
0.905819
0.007965
0.825607
0.004208
0.333987
5.74691
5.667722
-0.600635
7,647
train
H0
H24
300
300
40
40
36.666667
-2.125789
2.320203
1.406088
1.416413
9.599143
14.287664
8.607208
-2.125789
2.320203
0.002539
2.006225
4.541168
5.395923
0.144557
0.085895
-2.395115
7,647
train
H1
H24
300
300
40
45
42.666667
-0.565445
0.760442
0.14056
0.140424
2.142877
2.194837
2.171121
0.140424
0.760442
0.337712
0.019719
0.302205
0.578044
0.457032
0.4388
-0.789571
7,647
train
H0
H24
500
500
40
39.8
42.2
2.122993
-2.228427
-1.622349
-1.624476
6.569904
8.077515
6.119996
2.122993
2.228427
0.020443
2.638924
4.500477
4.974035
0.151045
0.178111
2.318125
7,647
train
H1
H24
500
500
40
40.4
39
-0.368345
0.716511
-0.564287
-0.566686
8.252502
17.439202
9.654905
-0.566686
0.716511
0.000574
0.321133
0.004962
0.514316
4.551467
4.606093
-0.740765
7,647
train
H0
H24
1,000
1,000
40
39
37.2
0.369249
-0.390025
-0.266907
-0.266826
0.227294
0.334568
0.200042
0.369249
0.390025
0.685365
0.071196
0.140082
0.152085
0.000203
0.000188
0.405152
7,647
train
H1
H24
1,000
1,000
40
39.8
38.3
-0.648515
0.937478
-0.142665
-0.142737
5.445051
7.255541
6.079319
-0.142737
0.937478
0.047851
0.020374
0.218861
0.878967
2.118523
2.18716
-0.971716