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
4
train
H0
H22
20
20
30
25
35
-0.608894
0.70397
0.156544
0.154195
1.814331
2.590701
1.616429
-0.608894
0.70397
0.435161
0.023776
0.2672
0.516404
0.237092
0.156207
-0.780391
4
train
H1
H22
20
20
30
25
20
-1.193599
1.184775
1.093635
1.09636
1.416523
1.482651
1.433553
-1.193599
1.184775
0.21118
1.202005
1.393914
1.444468
0.598921
0.636769
-1.250328
4
train
H0
H22
30
30
30
30
30
-1.132397
1.22564
0.624597
0.618544
2.701937
2.754359
2.61079
-1.132397
1.22564
0.193934
0.382597
1.084321
1.528623
0.11295
0.056884
-1.299029
4
train
H1
H22
30
30
30
23.333333
23.333333
-0.266724
0.204518
0.632566
0.628816
1.184565
1.441017
1.073315
0.628816
0.632566
0.584699
0.395409
0.122898
0.045188
1.116179
0.995605
-0.233116
4
train
H0
H22
50
50
30
32
38
0.401913
-0.309511
-0.734579
-0.729645
1.226802
1.843826
1.097287
-0.729645
0.734579
0.577733
0.532382
0.182613
0.085104
0.89782
0.762616
0.322822
4
train
H1
H22
50
50
30
28
24
-0.79234
0.64635
1.302611
1.317181
2.902523
3.555763
3.093633
1.317181
1.302611
0.212925
1.734966
0.906337
0.418071
3.256441
3.312105
-0.675978
4
train
H0
H22
75
75
30
22.666667
30.666667
-0.587754
0.469463
0.885146
0.894104
0.875342
4.331711
1.122123
0.894104
0.885146
0.227802
0.799423
0.598404
0.223006
1.088432
1.212411
-0.498105
4
train
H1
H22
75
75
30
22.666667
46.666667
1.468237
-1.40413
-1.71793
-1.710902
3.111448
3.155806
3.096055
1.468237
1.71793
0.14776
2.927184
2.407294
1.9694
2.590075
2.530787
1.447489
4
train
H0
H22
100
100
30
29
29
0.095895
-0.012891
-0.472151
-0.470225
0.892144
0.856047
0.991329
-0.470225
0.472151
0.609166
0.221112
0.046484
0.000051
0.666188
0.619746
0.007081
4
train
H1
H22
100
100
30
30
27
-1.120727
1.163285
0.834703
0.829942
1.516863
1.458747
1.531432
-1.120727
1.163285
0.223852
0.688804
1.127999
1.35568
0.05091
0.080099
-1.21635
4
train
H0
H22
150
150
30
28.666667
30.666667
0.752689
-0.70977
-0.899893
-0.904597
0.911076
1.499605
0.867437
-0.904597
0.899893
0.457887
0.818296
0.585536
0.498646
0.708487
0.680808
0.74233
4
train
H1
H22
150
150
30
34
33.333333
-1.016534
1.056199
1.018615
1.018116
1.037987
3.851074
1.078192
-1.016534
1.056199
0.256665
1.03656
0.93969
1.12412
0.591717
0.499751
-1.134309
4
train
H0
H22
200
200
30
32
30
-0.315764
0.28598
0.533011
0.530917
0.638854
2.119573
0.492185
-0.315764
0.533011
0.547963
0.281873
0.114082
0.085308
0.528503
0.467237
-0.310849
4
train
H1
H22
200
200
30
29
30
0.997832
-1.048481
-0.518973
-0.518795
2.274194
2.644988
1.993428
0.997832
1.048481
0.271328
0.269148
0.90305
1.098833
0.057391
0.045855
1.100009
4
train
H0
H22
300
300
30
31.666667
31
-0.217562
0.145225
0.603287
0.601465
1.162579
1.282795
1.085067
-0.217562
0.603287
0.581274
0.36176
0.092702
0.022098
0.998228
0.925072
-0.159524
4
train
H1
H22
300
300
30
30
33.666667
-1.373081
1.320556
1.8615
1.891635
5.295706
11.466386
4.704991
1.891635
1.8615
0.009454
3.578283
2.159758
1.752101
4.787959
4.643546
-1.402375
4
train
H0
H22
500
500
30
31.8
30.2
0.193963
-0.185053
-0.169169
-0.16892
0.05531
0.336562
0.038287
0.193963
0.185053
0.847356
0.028534
0.04238
0.033323
0.004419
0.006061
0.192493
4
train
H1
H22
500
500
30
32.2
29.2
-2.356072
2.339662
2.348296
2.35569
5.652497
6.371271
5.768653
2.35569
2.348296
0.014424
5.549275
5.403599
5.481031
2.991559
2.971672
-2.446539
4
train
H0
H22
1,000
1,000
30
29.8
32.6
0.449993
-0.369697
-0.850438
-0.850471
1.63017
1.77909
1.503133
-0.850471
0.850438
0.471627
0.723301
0.260103
0.135254
1.399531
1.412833
0.387847
4
train
H1
H22
1,000
1,000
30
29.1
29.6
-0.755135
0.662632
1.161823
1.163028
1.736239
5.988641
2.002819
1.163028
1.161823
0.112164
1.352635
0.780286
0.439309
1.932478
2.068785
-0.695862
4
train
H0
H22
20
20
40
60
40
-0.790216
0.770394
0.871434
0.857686
0.765271
0.814396
0.768912
0.857686
0.871434
0.37541
0.735626
0.703513
0.643879
1.141124
1.15855
-0.886386
4
train
H1
H22
20
20
40
50
40
-0.187188
-0.10677
0.800851
0.821223
7.276025
7.221008
7.255073
0.821223
0.800851
0.026582
0.674407
0.103042
0.005041
3.805255
3.653385
0.10973
4
train
H0
H22
30
30
40
40
36.666667
0.962176
-1.018954
-0.781099
-0.776541
1.063527
1.116447
1.078831
-0.776541
1.018954
0.282889
0.603015
0.833762
0.968947
0.036113
0.029596
1.073852
4
train
H1
H22
30
30
40
50
33.333333
-0.715626
0.609051
0.803539
0.801047
0.739237
6.839203
0.676395
0.801047
0.803539
0.077203
0.641676
0.402614
0.371197
0.646301
0.564258
-0.646491
4
train
H0
H22
50
50
40
38
38
0.155284
-0.141521
-0.153473
-0.151173
0.032475
0.472877
0.024077
0.155284
0.153473
0.894873
0.022853
0.024043
0.015265
0.000895
0.00909
0.132141
4
train
H1
H22
50
50
40
54
48
-0.768462
0.956617
0.427046
0.427903
1.830227
2.196279
1.911558
0.427903
0.956617
0.288429
0.183101
0.530003
0.928541
0.081571
0.084906
-1.061573
4
train
H0
H22
75
75
40
36
44
1.392202
-1.297158
-1.585468
-1.592308
2.618581
2.649376
2.628867
-1.592308
1.585468
0.165533
2.535444
2.118827
1.660492
1.990448
2.018164
1.386702
4
train
H1
H22
75
75
40
41.333333
34.666667
-0.85691
0.853446
0.654562
0.652695
1.036813
1.871996
0.88104
-0.85691
0.853446
0.352765
0.426011
0.709102
0.741309
0.036244
0.079113
-0.92924
4
train
H0
H22
100
100
40
35
45
0.043772
0.036291
-0.361823
-0.361463
0.790923
1.393477
0.897622
-0.361463
0.361823
0.638387
0.130656
0.017733
0.002239
0.538736
0.557163
-0.051948
4
train
H1
H22
100
100
40
36
38
-1.249183
1.413285
0.651704
0.653427
4.170297
5.837023
3.649219
-1.249183
1.413285
0.119814
0.426966
1.467695
1.999029
0.224888
0.147546
-1.519051
4
train
H0
H22
150
150
40
42
42
0.710707
-0.829761
-0.34936
-0.34785
1.227313
1.848967
1.377142
0.710707
0.829761
0.374627
0.121
0.398991
0.666227
0.110251
0.144765
0.887839
4
train
H1
H22
150
150
40
40
44
1.006608
-0.87446
-1.0421
-1.040698
1.118378
1.901138
1.088915
1.006608
1.0421
0.345549
1.083052
1.122928
0.762903
0.671242
0.693865
0.943257
4
train
H0
H22
200
200
40
41
42.5
-0.499865
0.628618
0.169888
0.169238
0.815673
2.059599
0.984166
0.169238
0.628618
0.489285
0.028641
0.223625
0.407155
0.145583
0.166939
-0.691447
4
train
H1
H22
200
200
40
35.5
37
-1.307613
1.203781
1.480536
1.494282
2.257643
3.386957
2.289693
1.494282
1.480536
0.197518
2.232878
1.810993
1.451228
1.913772
2.059557
-1.288655
4
train
H0
H22
300
300
40
42
42.333333
0.756612
-0.634361
-1.034973
-1.038377
1.471704
1.466582
1.492259
-1.038377
1.034973
0.474198
1.078228
0.657338
0.394517
1.385962
1.3455
0.687659
4
train
H1
H22
300
300
40
42.333333
37
-1.201218
1.245907
1.23703
1.235406
1.536139
1.546081
1.544247
1.235406
1.245907
0.176327
1.526229
1.462638
1.553905
0.936688
0.993287
-1.352152
4
train
H0
H22
500
500
40
40
40.6
-0.211293
0.277637
-0.103994
-0.10394
0.901391
1.185156
0.794188
-0.211293
0.277637
0.672271
0.010803
0.029792
0.080099
0.308039
0.304265
-0.307644
4
train
H1
H22
500
500
40
44.8
40.6
-2.041289
2.157303
1.810986
1.811495
4.084228
4.682562
4.282593
-2.041289
2.157303
0.019695
3.281513
3.979067
4.65699
0.928358
0.924106
-2.332117
4
train
H0
H22
1,000
1,000
40
41
39.4
-2.353117
2.400735
1.969298
1.970154
6.06277
6.117891
6.009474
-2.353117
2.400735
0.009473
3.881509
5.380548
5.785798
0.707209
0.724679
-2.594488
4
train
H1
H22
1,000
1,000
40
40.6
40.3
-0.313725
0.291696
0.747235
0.748065
2.072552
2.627187
1.773754
0.748065
0.747235
0.41194
0.559601
0.1233
0.085203
1.472825
1.518712
-0.313582
4
train
H0
H22
20
20
50
35
45
-0.068875
0.078412
0.168678
0.164379
0.084238
0.159579
0.076165
-0.068875
0.168678
0.873197
0.027021
0.016707
0.013699
0.172846
0.157393
-0.159599
4
train
H1
H22
20
20
50
55
35
-0.605662
0.848808
0.245302
0.253873
3.475096
3.865409
3.405548
0.253873
0.848808
0.182177
0.064452
0.400429
0.721067
0.545471
0.415419
-0.884453
4
train
H0
H22
30
30
50
30
56.666667
0.748445
-0.664176
-0.946638
-0.936828
1.127514
1.721211
1.084768
-0.936828
0.946638
0.466894
0.877647
0.566512
0.398351
0.859553
0.78796
0.727542
4
train
H1
H22
30
30
50
43.333333
50
0.211435
-0.059485
-0.488173
-0.486921
0.581708
6.460662
0.811264
-0.486921
0.488173
0.091227
0.237092
0.097513
0.000563
0.536635
0.808658
0.053537
4
train
H0
H22
50
50
50
48
42
-0.30612
0.203292
0.519227
0.516229
0.727602
1.218842
0.672128
0.516229
0.519227
0.714577
0.266492
0.102059
0.051333
0.773262
0.7108
-0.265147
4
train
H1
H22
50
50
50
54
44
-1.16617
1.098444
1.239158
1.232274
1.51856
2.39197
1.522424
1.232274
1.239158
0.224376
1.5185
1.481159
1.206635
1.298742
1.608176
-1.214973
4
train
H0
H22
75
75
50
44
57.333333
1.022351
-0.981784
-1.121271
-1.12766
1.320261
1.929611
1.336598
-1.12766
1.121271
0.29007
1.271618
1.153074
0.89811
1.043297
1.086215
1.057968
4
train
H1
H22
75
75
50
37.333333
61.333333
1.753873
-1.96621
-1.138854
-1.164286
7.092349
8.472326
6.781374
1.753873
1.96621
0.028595
1.355563
2.991005
3.836117
0.019705
0.009143
2.189019
4
train
H0
H22
100
100
50
46
46
-0.318663
0.048631
0.864526
0.866608
2.814812
2.946765
2.872903
0.866608
0.864526
0.23777
0.75101
0.149546
0.003969
2.457497
2.529425
-0.076536
4
train
H1
H22
100
100
50
52
50
-0.615186
0.941154
0.172459
0.172253
2.264528
6.460002
2.637839
0.172253
0.941154
0.091253
0.029671
0.3133
0.899089
0.497179
0.564744
-1.027204
4
train
H0
H22
150
150
50
46
52
1.716922
-1.76321
-1.541314
-1.547088
2.965935
3.101043
3.027253
1.716922
1.76321
0.048747
2.393482
2.820212
3.061413
0.708535
0.740977
1.970794
4
train
H1
H22
150
150
50
46.666667
50
-0.318845
0.489889
0.296522
0.296363
0.08943
2.114308
0.102592
-0.318845
0.489889
0.549024
0.087831
0.084677
0.24348
0.042037
0.027756
-0.549306
4
train
H0
H22
200
200
50
50.5
46.5
-0.60145
0.406711
1.063935
1.071866
3.219585
5.719635
2.893244
1.071866
1.063935
0.126076
1.148896
0.408141
0.179364
2.801616
2.632704
-0.475146
4
train
H1
H22
200
200
50
40.5
45
-0.123094
0.134485
0.237477
0.237463
0.212811
1.221419
0.1564
-0.123094
0.237477
0.747872
0.056389
0.012202
0.018407
0.170878
0.150619
-0.142842
4
train
H0
H22
300
300
50
51
49.333333
-0.157673
0.171041
0.10702
0.106912
0.053083
0.123553
0.043635
-0.157673
0.171041
0.837021
0.01143
0.033075
0.033325
0.000135
0
-0.205706
4
train
H1
H22
300
300
50
50
45
-0.893029
0.782439
1.302816
1.308979
2.865029
3.534484
2.87216
1.308979
1.302816
0.237858
1.713427
0.868275
0.613394
2.668268
2.866249
-0.860532
4
train
H0
H22
500
500
50
49.2
53.8
0.276104
-0.034651
-0.840952
-0.840681
3.690283
3.851158
3.514013
-0.840681
0.840952
0.172561
0.706745
0.081508
0.000662
2.641932
2.606843
0.031857
4
train
H1
H22
500
500
50
47.4
53.8
0.398583
-0.168104
-0.464197
-0.467744
0.218788
4.660204
0.246947
0.398583
0.464197
0.198438
0.218784
0.188818
0.027939
0.216658
0.233655
0.183134
4
train
H0
H22
1,000
1,000
50
50.6
50.6
1.244137
-1.240348
-1.086544
-1.086954
1.735679
2.293003
1.641764
-1.086954
1.240348
0.170025
1.181469
1.517701
1.524715
0.26407
0.27437
1.372124
4
train
H1
H22
1,000
1,000
50
50
50.6
-1.872204
1.935594
1.895524
1.900208
3.636577
3.724611
3.659464
1.900208
1.935594
0.032103
3.610791
3.525952
3.755142
2.105529
2.153127
-2.143129
4
train
H0
H23
20
20
0
0
0
0.541002
-0.541002
-0.078727
-0.078104
1.539608
3.607806
1.095873
-0.078104
0.541002
0.307047
0.0061
0.178097
0.290803
0.242852
0.140324
0.547894
4
train
H1
H23
20
20
0
0
0
-0.892653
0.892653
1.022833
1.01107
1.023325
1.042217
1.022515
-0.892653
1.022833
0.365982
1.022262
0.917808
0.793298
0.951755
0.979973
-0.904025
4
train
H0
H23
30
30
0
0
0
-1.197538
1.197538
0.532841
0.525137
2.266178
2.184028
2.65439
-1.197538
1.197538
0.227184
0.275769
0.848453
1.437634
0.123683
0.089801
-1.207644
4
train
H1
H23
30
30
0
0
0
-0.369611
0.369611
-0.201175
-0.198847
1.459293
1.537421
1.397269
-0.198847
0.369611
0.497264
0.03954
0.021445
0.136017
0.502886
0.404565
-0.37273
4
train
H0
H23
50
50
0
0
0
-0.406735
0.406735
0.284548
0.28311
0.524436
3.708924
0.188882
0.28311
0.406735
0.294659
0.080151
0.225587
0.165141
0.007325
0.041087
-0.408784
4
train
H1
H23
50
50
0
0
0
0.572187
-0.572187
-0.613383
-0.610706
0.546621
2.995188
0.378575
-0.610706
0.613383
0.392368
0.372962
0.500545
0.326853
0.213574
0.328688
0.57507
4
train
H0
H23
75
75
0
0
0
1.050564
-1.050564
-1.135892
-1.133657
1.287845
2.037917
1.299861
1.050564
1.135892
0.295084
1.285178
1.223595
1.103873
0.794404
0.734527
1.047033
4
train
H1
H23
75
75
0
0
0
-0.892698
0.892698
0.572083
0.567088
1.020215
1.079919
0.980516
-0.892698
0.892698
0.373628
0.321588
0.632847
0.796215
0.010636
0.027957
-0.889697
4
train
H0
H23
100
100
0
0
0
2.042673
-2.042673
-1.61688
-1.623715
3.308273
10.589198
4.323484
2.042673
2.042673
0.014168
2.636449
3.240712
4.194802
0.605109
0.522266
2.047799
4
train
H1
H23
100
100
0
0
0
0.405603
-0.405603
-1.033644
-1.0341
2.058534
2.197637
2.143413
-1.0341
1.033644
0.342424
1.069364
0.44352
0.164243
1.901929
1.894312
0.40662
4
train
H0
H23
150
150
0
0
0
-1.102165
1.102165
1.5399
1.545247
2.556599
2.957107
2.649018
1.545247
1.5399
0.265933
2.387788
1.739789
1.214592
2.588415
2.651391
-1.104006
4
train
H1
H23
150
150
0
0
0
-0.854577
0.854577
0.863325
0.863412
0.851671
2.446659
0.787974
0.863412
0.863325
0.391995
0.74548
0.81377
0.729832
0.432044
0.534118
-0.856005
4
train
H0
H23
200
200
0
0
0
-0.493884
0.493884
-0.365627
-0.365638
2.902163
2.808184
2.889698
-0.493884
0.493884
0.235782
0.133691
0.028177
0.243782
1.294083
1.201966
-0.494502
4
train
H1
H23
200
200
0
0
0
-0.462746
0.462746
-0.956229
-0.961528
7.042827
7.766665
8.16327
-0.961528
0.956229
0.01688
0.924536
0.015509
0.214228
4.895522
4.856904
-0.463325
4
train
H0
H23
300
300
0
0
0
1.108292
-1.108292
-0.565483
-0.564033
2.066267
2.097636
1.868846
1.108292
1.108292
0.267337
0.318133
0.92998
1.228267
0.018529
0.011595
1.109216
4
train
H1
H23
300
300
0
0
0
-0.461121
0.461121
-0.039982
-0.039866
0.856537
0.850894
0.99718
-0.039866
0.461121
0.607386
0.001589
0.070776
0.212537
0.271937
0.258827
-0.461506
4
train
H0
H23
500
500
0
0
0
-2.756515
2.756515
2.355006
2.358632
7.926278
8.446566
7.621181
-2.756515
2.756515
0.005818
5.563146
7.567293
7.616136
1.584585
1.589089
-2.757894
4
train
H1
H23
500
500
0
0
0
0.7511
-0.7511
-1.766429
-1.773771
5.708941
6.355846
5.762504
-1.773771
1.766429
0.056065
3.146262
1.293761
0.564143
5.51668
5.519805
0.751476
4
train
H0
H23
1,000
1,000
0
0
0
-1.042037
1.042037
0.836019
0.835613
0.890124
3.068018
1.104454
-1.042037
1.042037
0.297274
0.698249
0.941523
1.085913
0.163853
0.147724
-1.042297
4
train
H1
H23
1,000
1,000
0
0
0
0.800036
-0.800036
-3.641818
-3.702253
40.705622
40.187989
40.219315
-3.702253
3.641818
0
13.706675
3.746841
0.640399
33.770992
33.641933
0.800236
4
train
H0
H23
20
20
10
10
20
-0.973145
0.960947
1.001374
1.010502
1.021715
2.466733
1.036532
1.010502
1.001374
0.31108
1.021114
0.94704
0.932259
0.818333
0.747739
-1.012959
4
train
H1
H23
20
20
10
0
0
0.1082
-0.1082
-0.498509
-0.494299
1.018202
1.922235
0.796692
-0.494299
0.498509
0.588703
0.244332
0.050272
0.011622
0.559094
0.438255
0.109579
4
train
H0
H23
30
30
10
16.666667
6.666667
-0.099666
0.070765
0.365415
0.364057
0.429583
0.734523
0.417974
0.364057
0.365415
0.811406
0.132537
0.030108
0.006149
0.398443
0.41708
-0.0816
4
train
H1
H23
30
30
10
13.333333
20
1.162281
-1.259839
-0.279566
-0.28049
5.892358
7.708664
5.200265
1.162281
1.259839
0.052433
0.078674
0.856041
1.552321
0.662981
0.505056
1.269559
4
train
H0
H23
50
50
10
14
12
0.233665
-0.331236
0.772451
0.782575
5.325719
5.396952
5.589268
0.233665
0.772451
0.061137
0.612424
0.01697
0.109752
3.353103
3.221071
0.337878
4
train
H1
H23
50
50
10
6
8
-0.681289
0.686968
0.394405
0.391056
0.833685
1.13206
0.689077
-0.681289
0.686968
0.485761
0.152924
0.387838
0.471536
0.000012
0.007739
-0.697067
4
train
H0
H23
75
75
10
14.666667
10.666667
-0.929066
0.931495
0.894603
0.886861
0.803803
1.891588
0.879037
-0.929066
0.931495
0.345198
0.786523
0.786638
0.867949
0.401776
0.343534
-0.943945
4
train
H1
H23
75
75
10
10.666667
12
-0.414421
0.43619
-0.222515
-0.221008
2.089583
2.254823
1.864785
-0.414421
0.43619
0.393611
0.048845
0.054932
0.191618
0.801756
0.720424
-0.444579
4
train
H0
H23
100
100
10
6
21
-0.262852
0.299213
0.124502
0.124777
0.086865
0.367345
0.133478
-0.262852
0.299213
0.760712
0.015569
0.045564
0.089572
0.001932
0.003053
-0.304546
4
train
H1
H23
100
100
10
7
8
0.59284
-0.576584
-1.193721
-1.194518
2.509852
2.605203
2.451174
-1.194518
1.193721
0.293585
1.426874
0.654757
0.327591
2.268493
2.234977
0.584501
4
train
H0
H23
150
150
10
8.666667
8
-2.366156
2.333333
2.575665
2.617342
6.856483
7.632191
6.862854
-2.366156
2.575665
0.016897
6.850479
6.400378
5.483059
4.678883
4.61365
-2.388941
4
train
H1
H23
150
150
10
9.333333
10.666667
1.471693
-1.407081
-2.409244
-2.460019
9.30425
9.738397
8.968274
-2.460019
2.409244
0.011287
6.051691
3.372912
1.983753
8.718881
8.541992
1.436209
4
train
H0
H23
200
200
10
9.5
10
0.15721
-0.155249
-0.350001
-0.349639
0.481033
2.821692
0.231877
0.15721
0.350001
0.419941
0.122248
0.022412
0.023379
0.199072
0.162201
0.155417
4
train
H1
H23
200
200
10
11
9.5
1.69732
-1.66092
-2.104777
-2.126918
4.773956
4.815371
4.731644
-2.126918
2.104777
0.090596
4.52378
3.488483
2.762283
4.138053
4.131199
1.692264
4
train
H0
H23
300
300
10
11.333333
6.333333
-0.131603
0.151417
-0.214814
-0.214657
0.3576
0.651815
0.521207
-0.214657
0.214814
0.770586
0.046078
0.000628
0.023215
0.269622
0.279607
-0.155257
4
train
H1
H23
300
300
10
8.333333
14.333333
2.112531
-2.050127
-3.088732
-3.141629
14.733463
34.235554
12.66764
2.112531
3.088732
0
9.869833
5.713037
4.207392
12.453339
12.151264
2.084709
4
train
H0
H23
500
500
10
10.4
9.2
-0.389128
0.391395
0.662211
0.662156
0.815622
1.026561
0.613074
0.662156
0.662211
0.689379
0.438451
0.181389
0.153775
0.614776
0.641609
-0.399699
4
train
H1
H23
500
500
10
9.6
7.4
1.017277
-0.957237
-2.034332
-2.052743
7.363336
7.261833
7.319131
-2.052743
2.034332
0.025744
4.213752
1.990651
0.91585
7.018816
6.928128
0.969529
4
train
H0
H23
1,000
1,000
10
11.3
10.2
-0.284915
0.237925
0.734216
0.73366
0.771035
2.697753
1.147728
0.73366
0.734216
0.440609
0.538257
0.279875
0.056843
1.072349
1.126707
-0.243245
4
train
H1
H23
1,000
1,000
10
9.6
7.9
0.082242
-0.011519
-2.022164
-2.04851
21.841048
24.372237
18.972873
0.082242
2.022164
0.000021
4.196392
0.470132
0.000126
14.144127
14.024892
0.005191