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
3
train
H0
H22
20
20
50
65
55
0.337358
-0.234943
-0.565162
-0.582935
1.668155
2.984588
1.734823
-0.582935
0.565162
0.394008
0.339813
0.114937
0.010847
0.730108
0.756429
0.136479
3
train
H1
H22
20
20
50
45
65
0.985093
-0.804904
-1.093214
-1.062041
1.174085
1.172614
1.174395
-1.062041
1.093214
0.354973
1.127931
0.853776
0.641518
0.705162
0.616523
0.924987
3
train
H0
H22
30
30
50
53.333333
46.666667
-0.225911
0.011522
0.486645
0.481329
0.757023
1.333153
0.825004
0.481329
0.486645
0.661992
0.231678
0.071573
0.006467
0.951762
0.953837
-0.104795
3
train
H1
H22
30
30
50
56.666667
46.666667
-0.12821
0.068978
0.040114
0.039699
0.076965
0.535762
0.100694
-0.12821
0.068978
0.87592
0.001576
0.004503
0.02234
0.001044
0.000424
-0.156143
3
train
H0
H22
50
50
50
54
48
0.429357
-0.376425
-0.658284
-0.659779
0.834553
0.998508
0.802505
-0.659779
0.658284
0.669481
0.435309
0.222889
0.112534
0.607288
0.550436
0.387113
3
train
H1
H22
50
50
50
42
56
1.140862
-0.981873
-1.356443
-1.356526
2.099576
2.105893
2.098485
-1.356526
1.356443
0.257148
1.840162
1.362556
0.93702
1.746655
1.778557
1.133158
3
train
H0
H22
75
75
50
52
46.666667
-0.395285
0.391998
0.214367
0.213455
0.573874
1.852408
0.478424
0.213455
0.391998
0.603597
0.045563
0.150946
0.170743
0.034716
0.006998
-0.451123
3
train
H1
H22
75
75
50
52
56
-0.907988
1.250012
0.468719
0.468561
2.638754
7.654034
2.979846
0.468561
1.250012
0.05373
0.219549
0.724577
1.571743
0.252094
0.305616
-1.392729
3
train
H0
H22
100
100
50
47
54
0.257918
-0.186684
-0.516401
-0.51404
1.113704
2.849402
0.950852
-0.51404
0.516401
0.415432
0.264237
0.056335
0.027413
0.740467
0.627564
0.184959
3
train
H1
H22
100
100
50
57
39
-1.883124
1.822927
2.14717
2.146843
5.12869
12.899874
4.875635
2.146843
2.14717
0.004858
4.608935
3.473026
3.323848
4.369324
4.098023
-1.992944
3
train
H0
H22
150
150
50
60
48.666667
-1.596431
1.430418
1.84255
1.842694
4.062318
13.432951
3.788707
1.842694
1.84255
0.003788
3.395522
2.220464
2.100748
3.416906
3.120037
-1.633912
3
train
H1
H22
150
150
50
44.666667
48.666667
0.030966
0.015361
0.08641
0.08651
0.218091
2.361655
0.126401
0.030966
0.08641
0.500812
0.007484
0.001395
0.000488
0.10221
0.071968
-0.021413
3
train
H0
H22
200
200
50
44.5
56
1.29635
-1.235796
-1.317295
-1.314815
1.760017
2.037019
1.74598
-1.314815
1.317295
0.175711
1.728738
1.739936
1.500848
0.987699
0.992738
1.354079
3
train
H1
H22
200
200
50
49
50
1.453045
-1.19763
-1.321077
-1.332537
2.463224
5.712237
2.132021
1.453045
1.321077
0.126481
1.775655
2.096551
1.431725
0.599982
0.704485
1.328236
3
train
H0
H22
300
300
50
48
51
-0.099334
0.299577
-0.240477
-0.239785
0.772042
2.204415
1.021481
-0.239785
0.299577
0.531079
0.057497
0.002142
0.097371
0.510463
0.538858
-0.351761
3
train
H1
H22
300
300
50
52
51
-0.839526
0.998776
0.523445
0.522674
1.764838
3.162486
1.527756
0.522674
0.998776
0.273117
0.273188
0.765629
0.999656
0.044572
0.021815
-1.095913
3
train
H0
H22
500
500
50
49.2
51.6
0.310829
-0.324843
-0.404109
-0.403342
0.279237
1.373392
0.210478
-0.403342
0.404109
0.711783
0.162685
0.075404
0.099089
0.187974
0.170859
0.353863
3
train
H1
H22
500
500
50
51.2
52.2
-0.45796
0.955997
-0.356003
-0.35576
6.144588
6.633888
6.492448
-0.35576
0.955997
0.038921
0.126565
0.184519
0.914608
2.986505
2.890905
-1.053687
3
train
H0
H22
1,000
1,000
50
49.5
50.3
1.076877
-1.033335
-1.098505
-1.098599
1.217178
1.239963
1.217371
1.076877
1.098505
0.255095
1.206919
1.192114
1.057641
0.70453
0.699132
1.138062
3
train
H1
H22
1,000
1,000
50
46.6
48.7
-0.707096
0.805125
0.842533
0.843857
0.847964
1.038301
0.792414
0.843857
0.842533
0.377648
0.712095
0.475626
0.650256
0.693782
0.721156
-0.882238
3
train
H0
H23
20
20
0
0
0
-0.243451
0.243451
0.123319
0.121136
0.12915
0.610129
0.100335
0.121136
0.243451
0.805255
0.014674
0.040925
0.058813
0.001258
0.014807
-0.246552
3
train
H1
H23
20
20
0
0
0
-1.271354
1.271354
0.450041
0.450147
4.432965
5.154554
3.926117
-1.271354
1.271354
0.140428
0.202632
1.019203
1.624862
0.53749
0.362271
-1.28755
3
train
H0
H23
30
30
0
0
0
1.759347
-1.759347
-2.247741
-2.387639
7.038291
7.981467
6.848866
-2.387639
2.247741
0.032568
5.700818
4.223402
3.126911
6.309132
6.173051
1.774194
3
train
H1
H23
30
30
0
0
0
0.783575
-0.783575
-1.236925
-1.246877
2.19461
2.499891
2.108556
0.783575
1.236925
0.348444
1.554702
0.963268
0.612016
1.913189
1.802104
0.790187
3
train
H0
H23
50
50
0
0
0
1.826862
-1.826862
-2.257365
-2.332979
5.613031
5.668696
5.74077
-2.332979
2.257365
0.056677
5.44279
4.521626
3.368469
5.201519
5.264278
1.836066
3
train
H1
H23
50
50
0
0
0
-1.233994
1.233994
0.616971
0.61399
2.106458
4.237193
2.471213
-1.233994
1.233994
0.214898
0.376984
1.017109
1.525871
0.063245
0.090887
-1.24021
3
train
H0
H23
75
75
0
0
0
-0.88518
0.88518
1.049056
1.050237
1.227107
3.169072
1.109682
-0.88518
1.049056
0.366285
1.102998
0.79316
0.782469
0.964324
0.865138
-0.882205
3
train
H1
H23
75
75
0
0
0
0.377752
-0.377752
-1.011066
-1.017918
2.792183
4.250871
2.285432
0.377752
1.011066
0.235618
1.036157
0.339926
0.142348
1.986887
1.836691
0.376482
3
train
H0
H23
100
100
0
0
0
1.871636
-1.871636
-1.829905
-1.841381
3.466696
6.036409
3.680174
1.871636
1.871636
0.06061
3.390685
3.404021
3.512941
1.69819
1.604784
1.876333
3
train
H1
H23
100
100
0
0
0
1.800778
-1.800778
-1.593049
-1.598623
3.232649
3.342059
3.257797
1.800778
1.800778
0.071028
2.555597
3.110682
3.256228
0.961796
1.105103
1.805297
3
train
H0
H23
150
150
0
0
0
-0.307488
0.307488
-0.419783
-0.419444
1.935644
1.73649
2.071622
-0.419444
0.419783
0.354938
0.175933
0.000352
0.094487
1.097702
1.021062
-0.308002
3
train
H1
H23
150
150
0
0
0
-0.459235
0.459235
0.393892
0.391811
0.289574
0.617462
0.210902
-0.459235
0.459235
0.645514
0.153516
0.240364
0.210703
0.057393
0.081138
-0.460003
3
train
H0
H23
200
200
0
0
0
1.18411
-1.18411
-0.711236
-0.710004
2.05565
2.512183
1.823785
1.18411
1.18411
0.235783
0.504105
1.121641
1.402233
0.001625
0.00869
1.185592
3
train
H1
H23
200
200
0
0
0
0.910787
-0.910787
-1.284009
-1.28714
1.870168
2.836644
1.844642
-1.28714
1.284009
0.361807
1.656728
1.204213
0.82976
1.751803
1.664413
0.911928
3
train
H0
H23
300
300
0
0
0
-1.690934
1.690934
1.347124
1.345754
3.177471
3.438374
2.922418
1.345754
1.690934
0.09058
1.811055
2.686386
2.861089
0.39035
0.450109
-1.692345
3
train
H1
H23
300
300
0
0
0
0.508222
-0.508222
-1.645231
-1.657757
6.827317
6.849646
6.559799
-1.657757
1.645231
0.037632
2.748158
0.918589
0.258239
5.728099
5.611341
0.508646
3
train
H0
H23
500
500
0
0
0
0.164673
-0.164673
0.195546
0.195204
0.509363
0.611652
0.488307
0.164673
0.195546
0.783367
0.038105
0.000446
0.027111
0.266124
0.246423
0.164755
3
train
H1
H23
500
500
0
0
0
1.152927
-1.152927
-2.943678
-2.989671
18.624299
18.175807
18.498468
-2.989671
2.943678
0.000096
8.938132
3.617456
1.330119
17.113601
16.981333
1.153504
3
train
H0
H23
1,000
1,000
0
0
0
0.23023
-0.23023
-0.531876
-0.531566
0.538093
0.632413
0.49702
0.23023
0.531876
0.779962
0.282563
0.108299
0.052997
0.464215
0.481929
0.230288
3
train
H1
H23
1,000
1,000
0
0
0
0.339266
-0.339266
-2.234219
-2.246164
14.405107
15.209065
15.885992
-2.246164
2.234219
0.000355
5.045252
1.270798
0.115138
12.976878
12.996314
0.339351
3
train
H0
H23
20
20
10
5
10
-1.517031
1.571088
0.672394
0.662327
3.723955
9.641506
4.91427
-1.517031
1.571088
0.021873
0.438678
1.3522
2.503564
0.457815
0.643194
-1.596348
3
train
H1
H23
20
20
10
0
0
-0.216401
0.216401
-0.558278
-0.563133
3.590545
4.436131
3.225016
-0.216401
0.558278
0.199387
0.317119
0.007143
0.046562
1.749975
1.53565
-0.219158
3
train
H0
H23
30
30
10
6.666667
10
-0.691327
0.689409
0.617167
0.613467
0.458456
0.838599
0.476959
-0.691327
0.689409
0.475486
0.376342
0.46316
0.474337
0.164209
0.158179
-0.713581
3
train
H1
H23
30
30
10
10
6.666667
0.09523
-0.104622
-0.135498
-0.13382
0.01806
0.191841
0.021514
-0.13382
0.135498
0.917531
0.017908
0.017567
0.010882
0.00282
0.005578
0.103545
3
train
H0
H23
50
50
10
6
20
-0.161457
0.249406
-0.651529
-0.645283
2.943187
2.976589
3.170565
-0.645283
0.651529
0.20489
0.41639
0.012897
0.062208
1.943337
1.842248
-0.243825
3
train
H1
H23
50
50
10
10
10
1.354643
-1.327484
-1.820814
-1.869451
4.154212
4.22043
4.140827
-1.869451
1.820814
0.126134
3.494848
2.454797
1.759307
3.987955
3.992556
1.354844
3
train
H0
H23
75
75
10
12
5.333333
-0.651119
0.658389
0.16281
0.161523
0.85385
1.715673
1.188487
-0.651119
0.658389
0.497079
0.02609
0.190596
0.440405
0.145299
0.158421
-0.679093
3
train
H1
H23
75
75
10
8
12
0.795972
-0.763224
-1.263248
-1.271722
2.268188
2.389007
2.27313
-1.271722
1.263248
0.320919
1.617277
0.986741
0.582677
2.161899
2.057608
0.771639
3
train
H0
H23
100
100
10
10
15
0.896422
-0.880254
-0.848613
-0.843809
0.78351
0.762673
0.814757
0.896422
0.880254
0.366475
0.712014
0.766501
0.772355
0.306231
0.340723
0.903096
3
train
H1
H23
100
100
10
10
8
-0.416162
0.431494
-0.16661
-0.166155
1.093488
3.278834
1.486653
-0.166155
0.431494
0.350599
0.027608
0.035553
0.190442
0.558137
0.65341
-0.44711
3
train
H0
H23
150
150
10
9.333333
5.333333
1.034063
-1.017725
-1.130706
-1.13719
1.296105
1.461542
1.295024
-1.13719
1.130706
0.305237
1.293202
1.177946
1.036063
0.901441
0.941103
1.025267
3
train
H1
H23
150
150
10
10
8.666667
-1.237221
1.238684
1.033515
1.029331
1.577493
1.578741
1.550384
-1.237221
1.238684
0.205986
1.059523
1.467403
1.537658
0.277684
0.320369
-1.264681
3
train
H0
H23
200
200
10
10.5
12.5
1.653754
-1.630438
-1.809303
-1.812177
3.284497
3.955851
3.292317
1.653754
1.809303
0.096097
3.283984
3.019053
2.660129
2.247631
2.140028
1.664079
3
train
H1
H23
200
200
10
10
6
0.389597
-0.351544
-1.001744
-1.009802
1.581766
7.590086
2.244424
-1.009802
1.001744
0.055288
1.019701
0.485425
0.122342
2.093968
2.314672
0.354615
3
train
H0
H23
300
300
10
9.666667
11
-0.656395
0.6448
0.8981
0.898005
1.019755
2.359157
0.891979
0.898005
0.8981
0.501283
0.806413
0.519581
0.416649
0.895846
0.827807
-0.66051
3
train
H1
H23
300
300
10
10.666667
8
-0.332965
0.3678
-0.535944
-0.53877
4.582143
6.95226
3.501934
-0.332965
0.535944
0.073435
0.290273
0.013951
0.135745
1.932607
1.828655
-0.373946
3
train
H0
H23
500
500
10
10.6
10
-0.692735
0.690054
0.82667
0.825632
0.697106
0.716858
0.687292
-0.692735
0.82667
0.479331
0.681668
0.542575
0.477679
0.572848
0.569434
-0.707379
3
train
H1
H23
500
500
10
9.6
9.4
0.559529
-0.47217
-1.992322
-2.012801
11.358619
10.814405
11.511703
-2.012801
1.992322
0.003164
4.051369
1.253302
0.222702
9.740243
9.615006
0.478697
3
train
H0
H23
1,000
1,000
10
9.7
10
-0.440669
0.411461
0.755287
0.754924
0.654002
1.908491
0.800225
0.754924
0.755287
0.591615
0.56991
0.357783
0.169828
0.81417
0.842294
-0.41959
3
train
H1
H23
1,000
1,000
10
8
9.8
-0.370186
0.459099
-1.379633
-1.382683
11.388467
15.129065
13.669377
-0.370186
1.379633
0.001076
1.911813
0.099025
0.211189
8.75557
8.893762
-0.465814
3
train
H0
H23
20
20
20
15
10
-0.02939
0
0.918544
0.927801
4.203694
5.546156
4.85485
-0.02939
0.918544
0.088264
0.860814
0.190737
0
3.356064
3.384769
-0.0402
3
train
H1
H23
20
20
20
20
40
1.537365
-1.500368
-1.896951
-1.92075
4.403808
7.500937
4.190889
1.537365
1.896951
0.057534
3.689282
2.720547
2.22082
3.697634
3.398686
1.656472
3
train
H0
H23
30
30
20
13.333333
20
2.356055
-2.315223
-2.365027
-2.458861
6.078936
7.122998
6.130836
-2.458861
2.365027
0.017086
6.045996
5.815165
5.438334
3.438056
3.393796
2.384848
3
train
H1
H23
30
30
20
16.666667
20
-0.451365
0.602156
-0.405231
-0.413459
5.989771
9.230968
5.165565
-0.413459
0.602156
0.026373
0.170948
0.075532
0.372117
2.733552
2.339469
-0.626973
3
train
H0
H23
50
50
20
30
26
0.100943
-0.166781
0.262744
0.261611
1.224393
3.74483
0.935432
0.100943
0.262744
0.290369
0.06844
0.003167
0.025055
0.550371
0.444199
0.15839
3
train
H1
H23
50
50
20
8
24
0.925382
-0.861613
-1.618636
-1.621544
4.372687
5.575745
4.620098
-1.621544
1.618636
0.099256
2.629404
1.497918
0.740942
4.26756
4.495937
0.894929
3
train
H0
H23
75
75
20
8
13.333333
-0.847153
0.863987
0.619901
0.617102
0.94735
1.092332
0.814664
-0.847153
0.863987
0.381935
0.380814
0.701361
0.74994
0.040373
0.056584
-0.874337
3
train
H1
H23
75
75
20
22.666667
20
-1.20634
1.304938
0.371118
0.370626
5.239428
5.815909
4.823145
-1.20634
1.304938
0.089674
0.137363
1.02216
1.722434
0.826242
0.666313
-1.343671
3
train
H0
H23
100
100
20
19
19
-0.440352
0.449505
0.6759
0.67916
1.025024
8.347174
0.627728
0.67916
0.6759
0.039356
0.461258
0.190025
0.204257
0.692991
0.560617
-0.473859
3
train
H1
H23
100
100
20
21
17
-1.583991
1.589835
1.32653
1.325152
2.516048
2.519439
2.580736
-1.583991
1.589835
0.102217
1.756029
2.30612
2.531863
0.429733
0.453695
-1.6342
3
train
H0
H23
150
150
20
22.666667
16.666667
-0.760535
0.792051
0.697256
0.696129
0.487196
4.138077
0.578844
0.696129
0.792051
0.246935
0.484596
0.477479
0.629247
0.220792
0.176245
-0.824747
3
train
H1
H23
150
150
20
15.333333
17.333333
2.256973
-2.241692
-2.309617
-2.335742
5.500096
6.726022
5.585323
2.256973
2.309617
0.020814
5.455689
5.296892
5.02719
3.26768
3.229845
2.311334
3
train
H0
H23
200
200
20
22
20.5
-0.209874
0.261904
0.199287
0.198413
0.144989
4.535193
0.044631
0.198413
0.261904
0.209173
0.039368
0.010707
0.069568
0.021578
0.004952
-0.274079
3
train
H1
H23
200
200
20
21.5
21
-0.461372
0.56541
-0.280437
-0.280744
2.664076
3.644515
2.985217
-0.461372
0.56541
0.224786
0.078817
0.050232
0.320809
1.278605
1.374118
-0.586281
3
train
H0
H23
300
300
20
18
22.333333
0.559716
-0.580141
-0.561478
-0.559937
0.319362
0.348359
0.330242
0.559716
0.580141
0.547246
0.31353
0.313095
0.33356
0.152335
0.179857
0.601892
3
train
H1
H23
300
300
20
21
17.333333
-2.617224
2.752614
1.504239
1.504058
8.736516
11.428518
10.791856
-2.617224
2.752614
0.004462
2.262192
4.904741
7.607601
0.123175
0.1193
-2.843516
3
train
H0
H23
500
500
20
18.2
18.4
-0.267596
0.297356
0.083823
0.083713
0.099967
0.301266
0.198436
0.083713
0.297356
0.758035
0.007008
0.031221
0.089109
0.018791
0.01728
-0.308063
3
train
H1
H23
500
500
20
19
22
0.874745
-0.780918
-1.311615
-1.312387
2.015836
3.239224
2.280094
-1.312387
1.311615
0.319804
1.722361
1.172576
0.607784
2.234318
2.272503
0.803854
3
train
H0
H23
1,000
1,000
20
20
19
0.785012
-0.886331
0.079141
0.079136
3.714549
3.5991
3.853241
0.785012
0.886331
0.14564
0.006262
0.299692
0.783493
1.170728
1.126461
0.916029
3
train
H1
H23
1,000
1,000
20
19.8
18.7
1.744637
-1.585146
-2.805687
-2.831868
11.795803
12.159252
11.864772
-2.831868
2.805687
0.002652
8.019478
4.395872
2.512016
11.778786
11.751621
1.625968
3
train
H0
H23
20
20
30
30
10
0.333265
-0.309542
-0.517942
-0.526317
0.463234
0.484997
0.471949
-0.526317
0.517942
0.748202
0.277009
0.169295
0.095765
0.283044
0.283685
0.321012
3
train
H1
H23
20
20
30
25
25
0.732056
-0.703149
-1.287846
-1.302426
3.112996
3.017476
3.134803
-1.302426
1.287846
0.208587
1.696314
0.925521
0.434901
2.576424
2.47444
0.790446
3
train
H0
H23
30
30
30
13.333333
36.666667
2.192769
-2.138389
-2.25027
-2.260105
5.141696
6.034735
5.183192
2.192769
2.25027
0.024279
5.108074
4.919203
4.568046
2.973515
2.931064
2.252686
3
train
H1
H23
30
30
30
43.333333
23.333333
-1.936986
1.930812
1.715198
1.701891
3.696693
4.191797
3.825582
-1.936986
1.930812
0.035821
2.896433
3.523012
3.833554
0.746851
0.782865
-2.098952
3
train
H0
H23
50
50
30
22
20
-1.642913
1.529815
1.519831
1.528666
3.089568
4.487085
2.748498
-1.642913
1.529815
0.096063
2.336819
2.864046
2.407511
0.782439
1.068328
-1.664249
3
train
H1
H23
50
50
30
28
32
0.070798
-0.202987
0.377122
0.377848
1.553025
1.733401
1.43087
0.070798
0.377122
0.488979
0.142769
0.000008
0.037759
1.008977
0.896889
0.201603
3
train
H0
H23
75
75
30
29.333333
32
-0.164222
0.381404
-0.557742
-0.556261
3.076161
4.10582
3.417309
-0.556261
0.557742
0.181109
0.309426
0.000395
0.147245
1.874279
2.022658
-0.393614
3
train
H1
H23
75
75
30
33.333333
29.333333
-0.922126
1.005399
0.437097
0.434887
1.994782
1.860156
2.062494
-0.922126
1.005399
0.281456
0.189127
0.646127
1.025508
0.130399
0.077333
-1.077054
3
train
H0
H23
100
100
30
26
29
-0.27672
0.235915
0.192246
0.191495
0.162417
0.68201
0.098407
-0.27672
0.235915
0.791869
0.03667
0.076446
0.061387
0.005963
0.009854
-0.263884
3
train
H1
H23
100
100
30
27
32
0.215604
-0.001466
-1.21174
-1.218827
7.096527
7.529872
7.701767
-1.218827
1.21174
0.021261
1.485539
0.287459
0.000054
5.433156
5.399435
-0.004417
3
train
H0
H23
150
150
30
31.333333
31.333333
0.68556
-0.816791
-0.384344
-0.383125
0.516354
4.578887
0.868569
0.68556
0.816791
0.205361
0.146784
0.347285
0.651481
0.013948
0.031106
0.857881
3
train
H1
H23
150
150
30
34
32.666667
0.073419
0.06557
-0.609637
-0.608763
1.865187
1.867243
1.981784
-0.608763
0.609637
0.371245
0.370592
0.041767
0.005955
1.36197
1.320446
-0.075945
3
train
H0
H23
200
200
30
28.5
26
-1.177129
1.193754
0.983569
0.981947
1.32838
2.513177
1.445737
-1.177129
1.193754
0.206373
0.964219
1.253732
1.433296
0.233432
0.197728
-1.263603
3
train
H1
H23
200
200
30
31
31
0.022938
0.085603
-0.372533
-0.371541
0.616499
1.041067
0.791281
-0.371541
0.372533
0.673249
0.138043
0.018342
0.007864
0.521848
0.539297
-0.090868
3
train
H0
H23
300
300
30
28.666667
32.333333
0.723949
-0.84033
-0.15962
-0.160155
2.33431
2.506446
2.173179
0.723949
0.84033
0.337365
0.02565
0.386762
0.700615
0.42596
0.391657
0.888619
3
train
H1
H23
300
300
30
32.666667
27
0.353787
-0.331559
-0.517598
-0.519224
0.45054
1.457794
0.375612
-0.519224
0.517598
0.692045
0.269594
0.140985
0.107198
0.352063
0.303433
0.345768
3
train
H0
H23
500
500
30
29.2
29.4
-0.100181
0.207759
-0.316098
-0.315534
0.776392
2.437242
1.005686
-0.315534
0.316098
0.48674
0.099562
0.000047
0.044373
0.587222
0.634028
-0.223072
3
train
H1
H23
500
500
30
28.8
30.4
0.897867
-0.621716
-1.97893
-1.992229
9.217418
10.64776
9.834837
-1.992229
1.97893
0.007318
3.968975
1.383462
0.383127
8.875022
8.944605
0.65112
3
train
H0
H23
1,000
1,000
30
30.9
32.6
-0.466142
0.450142
0.114654
0.114673
1.486135
5.102438
0.813484
-0.466142
0.450142
0.164448
0.01315
0.216232
0.204704
0.148744
0.116481
-0.481949
3
train
H1
H23
1,000
1,000
30
27.9
28.8
1.105834
-0.735016
-2.66594
-2.685483
17.743131
21.792544
19.29697
-2.685483
2.66594
0.000065
7.211818
2.449452
0.53792
17.163361
17.440038
0.768297