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
7,648
train
H0
H11
20
20
50
70
65
0.266852
-0.830514
0.056062
0.055397
3.81787
4.905217
3.884197
0.055397
0.830514
0.143403
0.003069
0.210712
0.690952
1.4685
1.408949
0.839727
7,648
train
H1
H11
20
20
50
35
55
0.326365
-0.285849
-0.337892
-0.33571
0.114024
0.233757
0.113023
0.326365
0.337892
0.746677
0.112701
0.101362
0.082407
0.016583
0.028715
0.323024
7,648
train
H0
H11
30
30
50
56.666667
46.666667
-1.41162
1.661078
1.055361
1.041562
3.023835
3.402901
3.133949
-1.41162
1.661078
0.075648
1.08485
2.141905
2.787556
0.000016
0.007729
-1.776515
7,648
train
H1
H11
30
30
50
50
43.333333
0.414081
-0.621578
-0.015687
-0.015561
2.672266
2.635344
2.683076
-0.015561
0.621578
0.261443
0.000242
0.153772
0.386327
0.861849
0.79027
0.622559
7,648
train
H0
H11
50
50
50
52
52
-0.292477
0.13342
0.516572
0.517342
1.168015
2.571393
1.081954
0.517342
0.516572
0.462527
0.267643
0.066192
0.017775
1.07046
1.009055
-0.151793
7,648
train
H1
H11
50
50
50
44
54
0.215557
-0.061497
-0.393052
-0.392327
0.744618
3.007556
0.664297
-0.392327
0.393052
0.390462
0.15392
0.028858
0.003782
0.426857
0.413029
0.068966
7,648
train
H0
H11
75
75
50
53.333333
58.666667
-0.3167
0.657136
-0.099512
-0.099349
3.9558
4.935953
3.821158
-0.099349
0.657136
0.147995
0.00987
0.155464
0.431648
1.414492
1.336032
-0.675656
7,648
train
H1
H11
75
75
50
53.333333
54.666667
0.976981
-1.180734
-0.643755
-0.644806
2.863891
5.860476
3.047921
-0.644806
1.180734
0.118599
0.415775
0.869739
1.398397
0.139057
0.152596
1.21658
7,648
train
H0
H11
100
100
50
52
62
2.021238
-2.231388
-1.700939
-1.69908
5.723917
6.393214
5.607411
2.021238
2.231388
0.01916
2.886873
4.508672
4.993874
0.302364
0.359936
2.342405
7,648
train
H1
H11
100
100
50
56
52
-0.40985
0.257289
0.641599
0.640421
1.16689
3.391842
1.274255
0.640421
0.641599
0.335063
0.410139
0.223741
0.066113
1.278284
1.301494
-0.277499
7,648
train
H0
H11
150
150
50
46
46
0.617484
-0.569903
-0.661879
-0.663074
0.467006
2.014802
0.446664
-0.663074
0.661879
0.557723
0.439668
0.298186
0.324791
0.292152
0.256256
0.586227
7,648
train
H1
H11
150
150
50
54.666667
50.666667
-1.205325
1.026124
1.435764
1.452585
2.993357
3.561315
3.048288
1.452585
1.435764
0.217807
2.110002
1.540642
1.053434
3.38316
3.392499
-1.06312
7,648
train
H0
H11
200
200
50
38
47
1.09368
-0.925745
-1.31259
-1.307812
1.882896
2.839048
1.976032
-1.307812
1.31259
0.337067
1.710372
1.328334
0.856453
1.744857
1.842391
0.959977
7,648
train
H1
H11
200
200
50
48.5
56.5
0.728364
-0.687205
-0.739064
-0.740603
0.549693
2.356484
0.549935
-0.740603
0.739064
0.474242
0.548492
0.413953
0.472095
0.307692
0.285488
0.715595
7,648
train
H0
H11
300
300
50
46.666667
48
0.310183
-0.248042
-0.480638
-0.480009
0.672497
3.422601
0.550862
-0.480009
0.480638
0.33094
0.230409
0.072244
0.0615
0.464653
0.435833
0.258279
7,648
train
H1
H11
300
300
50
51.333333
50
0.339745
-0.657406
0.169449
0.169913
4.523565
5.346298
4.301693
0.169913
0.657406
0.116386
0.028871
0.161736
0.432173
1.592469
1.511593
0.688029
7,648
train
H0
H11
500
500
50
48.8
50.6
0.183506
-0.106919
-0.337518
-0.337358
0.448078
0.474512
0.436218
-0.337358
0.337518
0.804038
0.11381
0.036271
0.011429
0.302397
0.287995
0.111609
7,648
train
H1
H11
500
500
50
50.8
55.4
0.695326
-0.908442
-0.369611
-0.370455
1.918121
4.20443
2.118736
-0.370455
0.908442
0.240219
0.137237
0.432292
0.825346
0.244091
0.250917
0.952734
7,648
train
H0
H11
1,000
1,000
50
47.9
48.1
1.028033
-0.977979
-0.970423
-0.97164
1.13136
2.453443
1.06121
1.028033
0.977979
0.311547
0.944084
1.120834
0.956394
0.359714
0.375645
1.011981
7,648
train
H1
H11
1,000
1,000
50
53
55.6
0.328417
-0.715922
0.148332
0.14866
3.403814
7.999004
3.964185
0.328417
0.715922
0.046032
0.0221
0.098424
0.512764
1.5747
1.645327
0.748603
7,648
train
H0
H12
20
20
0
0
0
-0.568052
0.568052
1.090738
1.100578
1.971359
2.050591
2.125835
1.100578
1.090738
0.345447
1.211272
0.685968
0.321898
2.064693
2.08073
-0.575288
7,648
train
H1
H12
20
20
0
0
0
0.541002
-0.541002
-0.641719
-0.634915
0.492777
3.253667
0.406715
0.541002
0.641719
0.354144
0.403117
0.263994
0.291333
0.270119
0.176998
0.547894
7,648
train
H0
H12
30
30
0
0
0
-0.650515
0.650515
0.203247
0.201408
1.482971
3.070839
1.058647
-0.650515
0.650515
0.380832
0.040565
0.297793
0.421419
0.132455
0.058547
-0.656004
7,648
train
H1
H12
30
30
0
0
0
-0.325257
0.325257
0.801306
0.797941
1.416276
1.559218
1.337944
-0.325257
0.801306
0.512235
0.63671
0.268253
0.1052
1.387076
1.294776
-0.328002
7,648
train
H0
H12
50
50
0
0
0
0.351585
-0.351585
-0.60355
-0.596352
0.474501
0.465952
0.479255
-0.596352
0.60355
0.723822
0.355636
0.211911
0.123134
0.42209
0.394636
0.353356
7,648
train
H1
H12
50
50
0
0
0
0.510143
-0.510143
-0.864939
-0.857818
0.863161
0.877806
0.981666
-0.857818
0.864939
0.608152
0.735851
0.507227
0.259926
0.900346
0.907065
0.512713
7,648
train
H0
H12
75
75
0
0
0
0.539377
-0.539377
-0.592616
-0.590293
0.350428
0.750133
0.350545
0.539377
0.592616
0.590878
0.348446
0.317059
0.290422
0.222932
0.278048
0.537564
7,648
train
H1
H12
75
75
0
0
0
0.94532
-0.94532
-0.761731
-0.755869
0.785467
1.31564
0.911964
-0.755869
0.94532
0.34612
0.571338
0.746226
0.8927
0.122359
0.102607
0.942143
7,648
train
H0
H12
100
100
0
0
0
-0.818535
0.818535
0.778785
0.77545
0.601335
2.455664
0.68511
-0.818535
0.818535
0.41188
0.601322
0.544661
0.669324
0.306203
0.252098
-0.820589
7,648
train
H1
H12
100
100
0
0
0
-0.324971
0.324971
1.025702
1.02882
1.568692
6.63459
2.476795
1.02882
1.025702
0.084503
1.05847
0.536418
0.105578
2.161833
2.49391
-0.325786
7,648
train
H0
H12
150
150
0
0
0
-0.539102
0.539102
-0.555885
-0.558181
4.915421
4.779031
4.856012
-0.558181
0.555885
0.088213
0.311566
0.015898
0.290666
2.489344
2.355831
-0.540003
7,648
train
H1
H12
150
150
0
0
0
0.782697
-0.782697
-1.371566
-1.375717
2.712148
2.726958
2.648005
-1.375717
1.371566
0.266068
1.892597
1.037058
0.61209
2.560008
2.503705
0.784004
7,648
train
H0
H12
200
200
0
0
0
-0.405659
0.405659
0.093756
0.093917
1.031309
6.380178
0.449604
0.093917
0.405659
0.09451
0.00882
0.141975
0.16444
0.062512
0.033907
-0.406167
7,648
train
H1
H12
200
200
0
0
0
0.310515
-0.310515
-0.217452
-0.216432
0.091241
0.113719
0.10777
0.310515
0.310515
0.755874
0.046843
0.069926
0.096317
0.001991
0.004884
0.310904
7,648
train
H0
H12
300
300
0
0
0
-0.718765
0.718765
1.213495
1.215855
1.614296
5.762115
1.958698
1.215855
1.213495
0.123775
1.478303
1.006359
0.516438
1.982294
2.172579
-0.719364
7,648
train
H1
H12
300
300
0
0
0
0.852532
-0.852532
-0.779807
-0.777737
0.671466
0.873827
0.732449
-0.777737
0.852532
0.393524
0.604875
0.663827
0.726613
0.238502
0.222097
0.853243
7,648
train
H0
H12
500
500
0
0
0
0.386937
-0.386937
-1.434957
-1.439069
4.737643
5.539213
5.156853
-1.439069
1.434957
0.075893
2.07092
0.650108
0.149712
4.574019
4.576341
0.38713
7,648
train
H1
H12
500
500
0
0
0
-1.520375
1.520375
2.166231
2.174709
5.091601
6.591564
5.303953
-1.520375
2.166231
0.070512
4.72936
3.405563
2.312572
5.151779
5.352698
-1.521136
7,648
train
H0
H12
1,000
1,000
0
0
0
0.270886
-0.270886
0.422089
0.421852
1.599975
1.4422
1.810125
0.421852
0.422089
0.404517
0.177959
0.000001
0.073371
1.006629
0.974606
0.270954
7,648
train
H1
H12
1,000
1,000
0
0
0
-0.666374
0.666374
1.386722
1.386654
2.351279
2.450971
3.077949
1.386654
1.386722
0.214601
1.922811
1.224032
0.44423
2.995977
2.990781
-0.666541
7,648
train
H0
H12
20
20
10
15
30
0.734009
-0.76659
-0.824364
-0.817263
0.669731
1.302155
0.679027
0.734009
0.824364
0.425874
0.667919
0.697735
0.584135
0.431449
0.495871
0.796273
7,648
train
H1
H12
20
20
10
5
15
-0.33964
0.330374
0.839321
0.854696
1.801343
1.83888
1.871608
-0.33964
0.839321
0.39227
0.730506
0.315954
0.108781
1.880103
1.851276
-0.350558
7,648
train
H0
H12
30
30
10
3.333333
0
-0.793992
0.791132
1.337163
1.360615
3.331385
5.078785
2.904542
1.360615
1.337163
0.166118
1.851273
0.973358
0.626176
2.875679
2.669844
-0.804086
7,648
train
H1
H12
30
30
10
10
3.333333
-1.04871
1.010301
1.155847
1.154239
1.406852
4.376264
1.333585
1.154239
1.155847
0.223596
1.332268
1.319975
1.018087
0.844162
1.213956
-1.01697
7,648
train
H0
H12
50
50
10
10
12
-0.702632
0.672959
0.983825
0.988926
1.274536
1.535563
1.191179
-0.702632
0.983825
0.496769
0.977975
0.622414
0.452354
1.240813
1.189974
-0.679583
7,648
train
H1
H12
50
50
10
12
10
-0.488549
0.484731
0.54462
0.541087
0.294755
0.325582
0.29278
-0.488549
0.54462
0.623797
0.292776
0.251363
0.234379
0.228409
0.232522
-0.490476
7,648
train
H0
H12
75
75
10
9.333333
5.333333
-0.213486
0.185534
0.491301
0.493138
0.273425
5.924142
0.487407
0.493138
0.491301
0.11536
0.243186
0.145237
0.03438
0.440791
0.617011
-0.190655
7,648
train
H1
H12
75
75
10
8
6.666667
-0.748747
0.7583
0.30602
0.304304
1.480727
1.782823
1.189672
-0.748747
0.7583
0.447747
0.092601
0.425391
0.574413
0.093176
0.059132
-0.759176
7,648
train
H0
H12
100
100
10
10
4
-2.473232
2.474677
2.2075
2.2186
6.576586
7.322747
6.150384
-2.473232
2.474677
0.012855
4.922184
6.298473
6.157251
1.490818
1.781163
-2.487766
7,648
train
H1
H12
100
100
10
6
12
1.284545
-1.266808
-1.301572
-1.296352
1.848203
2.903885
1.760821
-1.296352
1.301572
0.200541
1.680529
1.79646
1.604017
0.917472
1.082631
1.280013
7,648
train
H0
H12
150
150
10
8.666667
14
-1.033601
1.05469
0.533512
0.534232
2.53027
3.601359
1.860151
0.534232
1.05469
0.288121
0.285404
0.96122
1.113295
0.057066
0.028684
-1.062254
7,648
train
H1
H12
150
150
10
8
11.333333
1.398337
-1.395666
-1.124926
-1.120176
2.275979
2.612884
2.024851
-1.120176
1.395666
0.158106
1.254794
1.904383
1.947979
0.277619
0.339891
1.41147
7,648
train
H0
H12
200
200
10
7
6.5
0.196333
-0.209232
0.011364
0.011321
0.084882
1.086018
0.19409
0.196333
0.209232
0.78045
0.000128
0.0081
0.043752
0.06227
0.088292
0.210444
7,648
train
H1
H12
200
200
10
5
11
1.086335
-1.115176
-0.558615
-0.557287
1.456227
2.435662
1.933117
1.086335
1.115176
0.25956
0.310569
0.766109
1.243234
0.029316
0.03433
1.127431
7,648
train
H0
H12
300
300
10
9.666667
8.333333
-0.413172
0.388574
0.786835
0.785108
0.803031
2.186605
0.997978
0.785108
0.786835
0.534592
0.616395
0.355078
0.150932
0.998724
1.087748
-0.391623
7,648
train
H1
H12
300
300
10
11
6
-2.925512
2.862341
3.889701
3.960352
17.912254
18.251257
17.669701
-2.925512
3.889701
0.000146
15.684389
11.29235
8.225557
17.165894
17.020073
-2.886697
7,648
train
H0
H12
500
500
10
9.4
11.2
1.084856
-1.03107
-1.414018
-1.41441
2.008362
4.638854
2.145989
-1.41441
1.414018
0.200234
2.000554
1.645067
1.062989
2.000257
2.105573
1.039871
7,648
train
H1
H12
500
500
10
10.8
8
-0.375541
0.344364
0.687213
0.686398
0.600157
0.608264
0.721104
-0.375541
0.687213
0.697291
0.471142
0.298487
0.118576
0.720336
0.731828
-0.348426
7,648
train
H0
H12
1,000
1,000
10
10.1
9
-1.189511
1.173952
1.198989
1.199031
1.642779
2.766796
1.510629
-1.189511
1.198989
0.236671
1.437675
1.621623
1.37805
0.798772
0.838005
-1.183349
7,648
train
H1
H12
1,000
1,000
10
9.9
10
-2.135446
2.141378
1.949971
1.951704
4.608081
5.262817
4.577276
-2.135446
2.141378
0.030896
3.809149
4.691428
4.589645
1.443538
1.407438
-2.158411
7,648
train
H0
H12
20
20
20
30
20
-1.01008
0.991297
1.27924
1.283294
1.964401
2.476118
1.88416
1.283294
1.27924
0.301204
1.646844
1.199665
0.981744
1.988534
1.856932
-1.033854
7,648
train
H1
H12
20
20
20
20
20
-0.087208
0.029535
0.485126
0.479501
1.112942
1.128752
1.148335
0.479501
0.485126
0.563173
0.229921
0.053466
0.000865
1.046711
1.021755
-0.050556
7,648
train
H0
H12
30
30
20
26.666667
13.333333
-1.003499
0.966503
1.0112
0.994471
1.043666
1.112105
1.037584
-1.003499
1.0112
0.323368
0.988972
1.014721
0.928973
0.607913
0.558604
-0.987561
7,648
train
H1
H12
30
30
20
16.666667
6.666667
0.856991
-0.873681
-0.91604
-0.927236
0.861859
0.871554
0.860066
-0.927236
0.91604
0.378016
0.859767
0.8711
0.765241
0.612802
0.60399
0.881558
7,648
train
H0
H12
50
50
20
20
22
0.731915
-0.813623
-0.554653
-0.548391
0.408104
4.330503
0.621477
0.731915
0.813623
0.227916
0.300733
0.4513
0.660518
0.020555
0.002617
0.838979
7,648
train
H1
H12
50
50
20
28
18
-0.591401
0.464269
1.358828
1.363917
4.985434
4.885329
4.970462
1.363917
1.358828
0.083306
1.860269
0.671446
0.215332
4.606783
4.421869
-0.501414
7,648
train
H0
H12
75
75
20
25.333333
14.666667
-0.707796
0.588006
1.514404
1.517636
5.931339
6.401029
5.633575
1.517636
1.514404
0.059798
2.303219
0.888175
0.345004
5.269551
5.037339
-0.603494
7,648
train
H1
H12
75
75
20
29.333333
21.333333
-1.397141
1.354918
1.504885
1.498175
2.25414
3.569007
2.245113
-1.397141
1.504885
0.169246
2.244529
1.955974
1.841612
1.667818
1.503816
-1.37463
7,648
train
H0
H12
100
100
20
17
25
-0.425542
0.348219
0.652957
0.655931
0.549281
0.851261
0.611114
0.655931
0.652957
0.720234
0.430245
0.261718
0.121333
0.667318
0.691956
-0.358146
7,648
train
H1
H12
100
100
20
15
19
1.639883
-1.665694
-1.388628
-1.386268
2.57975
4.456274
2.774555
1.639883
1.665694
0.09152
1.92174
2.431201
2.779033
0.530295
0.45645
1.687432
7,648
train
H0
H12
150
150
20
22.666667
20
-1.302886
1.264442
1.302171
1.316592
1.956305
6.404945
1.786947
-1.302886
1.302171
0.093488
1.733414
2.016193
1.601959
0.894563
1.014848
-1.282919
7,648
train
H1
H12
150
150
20
22.666667
24
0.524523
-0.682075
0.19433
0.194366
2.081719
8.780265
3.251901
0.194366
0.682075
0.03236
0.037778
0.044016
0.466015
1.146036
1.327089
0.693791
7,648
train
H0
H12
200
200
20
22.5
18
0.514606
-0.564595
-0.104103
-0.103837
0.93829
0.981994
1.042074
0.514606
0.564595
0.564512
0.010782
0.147177
0.318778
0.204513
0.183486
0.576153
7,648
train
H1
H12
200
200
20
24.5
25.5
0.493663
-0.541594
-0.299215
-0.298395
0.194695
2.886881
0.404701
0.493663
0.541594
0.409397
0.08904
0.123169
0.293244
0.002182
0.003737
0.553601
7,648
train
H0
H12
300
300
20
21.333333
21
-0.837279
0.8679
0.546141
0.54538
0.988548
0.993563
1.005314
0.54538
0.8679
0.377946
0.29744
0.587868
0.753253
0.000585
0.00198
-0.881687
7,648
train
H1
H12
300
300
20
21
21.666667
-0.029255
-0.097904
0.890447
0.893006
4.743727
4.580212
4.72452
-0.029255
0.890447
0.094207
0.79746
0.077182
0.009582
3.27447
3.202839
0.098218
7,648
train
H0
H12
500
500
20
18.2
18.4
1.249945
-1.230422
-1.247875
-1.250187
1.633109
2.025288
1.636908
1.249945
1.247875
0.211212
1.562966
1.569676
1.514564
0.866435
0.932616
1.250241
7,648
train
H1
H12
500
500
20
17
21.2
0.561643
-0.556086
-0.667404
-0.666507
0.52074
1.597737
0.454945
-0.666507
0.667404
0.570541
0.444231
0.29754
0.309188
0.380432
0.35198
0.567256
7,648
train
H0
H12
1,000
1,000
20
20.3
19.2
-0.165728
0.213297
-0.057397
-0.057391
0.20615
0.768198
0.283724
-0.165728
0.213297
0.828039
0.003294
0.009706
0.045489
0.101539
0.106599
-0.217217
7,648
train
H1
H12
1,000
1,000
20
20.6
19.7
-1.939109
1.806194
2.620662
2.631854
7.866291
8.039151
8.196358
-1.939109
2.620662
0.016603
6.926653
5.051177
3.264929
8.045146
8.038115
-1.838479
7,648
train
H0
H12
20
20
30
30
40
-0.213637
0.293733
0.078079
0.078068
0.245046
0.257843
0.253587
0.078068
0.293733
0.765017
0.006095
0.039031
0.085728
0.006863
0.004571
-0.298899
7,648
train
H1
H12
20
20
30
45
35
-1.923463
2.109274
1.459524
1.463811
5.071469
5.306503
5.126247
1.463811
2.109274
0.024749
2.142741
3.656611
4.509389
0.000046
0.001474
-2.245294
7,648
train
H0
H12
30
30
30
36.666667
26.666667
-0.734476
0.688581
0.594509
0.595336
0.777861
4.385614
0.626993
-0.734476
0.688581
0.222723
0.354424
0.530508
0.473354
0.035677
0.069987
-0.726971
7,648
train
H1
H12
30
30
30
33.333333
26.666667
-0.242661
0.127303
0.744168
0.737007
2.119434
2.284025
2.019999
-0.242661
0.744168
0.364219
0.54318
0.128664
0.016123
1.926343
1.777142
-0.158376
7,648
train
H0
H12
50
50
30
30
34
-0.422622
0.569693
0.013923
0.013774
1.226305
2.053012
1.37619
0.013774
0.569693
0.502533
0.00019
0.12012
0.323666
0.342015
0.397258
-0.589969
7,648
train
H1
H12
50
50
30
24
32
-0.511283
0.484899
0.662038
0.665598
0.592393
1.280074
0.514486
0.665598
0.662038
0.608447
0.44302
0.261578
0.234711
0.599897
0.521599
-0.512291
7,648
train
H0
H12
75
75
30
34.666667
30.666667
0.129912
-0.049626
-0.311701
-0.311979
0.263812
0.255976
0.310496
0.129912
0.311701
0.856203
0.097331
0.039693
0.002461
0.21501
0.187763
0.053122
7,648
train
H1
H12
75
75
30
25.333333
33.333333
1.169982
-1.220236
-0.874082
-0.872796
1.720781
1.81168
1.756514
-0.872796
1.220236
0.211254
0.761774
1.219728
1.489497
0.038167
0.034383
1.250124
7,648
train
H0
H12
100
100
30
30
33
0.860823
-0.994108
-0.299178
-0.298217
2.98034
3.448834
2.744704
0.860823
0.994108
0.25351
0.088934
0.609946
0.987763
0.362907
0.301289
1.025825
7,648
train
H1
H12
100
100
30
33
33
1.067835
-1.075457
-0.936333
-0.937377
1.117762
1.870738
1.174504
1.067835
1.075457
0.263441
0.878675
1.066573
1.157235
0.218581
0.196642
1.118295
7,648
train
H0
H12
150
150
30
32.666667
30
-0.145125
0.253659
-0.300852
-0.301694
1.861136
2.368546
1.683342
-0.301694
0.300852
0.43099
0.091019
0.005291
0.064276
0.880842
0.786435
-0.256816
7,648
train
H1
H12
150
150
30
33.333333
34
-0.557848
0.2593
1.312774
1.325529
6.057196
6.283675
5.834978
1.325529
1.312774
0.054069
1.757027
0.395412
0.067256
4.791997
4.686747
-0.27363
7,648
train
H0
H12
200
200
30
33.5
32
-1.217416
1.32837
0.868144
0.867243
1.732841
4.951818
2.107304
-1.217416
1.32837
0.17023
0.75211
1.212019
1.764417
0.010125
0.003251
-1.371466
7,648
train
H1
H12
200
200
30
25.5
29
0.247297
-0.283434
-0.123921
-0.123484
0.083059
0.220676
0.132743
-0.123484
0.283434
0.769791
0.015248
0.032989
0.080293
0.009406
0.013639
0.292648
7,648
train
H0
H12
300
300
30
27.666667
33.666667
1.934619
-1.995206
-1.626259
-1.625318
3.903998
4.004273
3.981463
1.934619
1.995206
0.040447
2.641659
3.600968
3.983989
0.585554
0.624571
2.049154
7,648
train
H1
H12
300
300
30
27.666667
23.333333
-0.243918
0.126003
0.644944
0.64529
0.853445
3.597941
1.266748
-0.243918
0.644944
0.30828
0.416399
0.191345
0.015874
1.053762
1.15325
-0.130678
7,648
train
H0
H12
500
500
30
29.8
25.6
0.124896
-0.171106
0.123385
0.123281
0.440363
0.422892
0.434361
0.123281
0.171106
0.804785
0.015198
0.003578
0.029273
0.21635
0.202537
0.17493
7,648
train
H1
H12
500
500
30
27.2
30.2
1.380133
-1.442332
-1.102457
-1.101464
1.840308
2.169433
2.113747
1.380133
1.442332
0.136281
1.213222
1.589858
2.080909
0.180782
0.192172
1.489785
7,648
train
H0
H12
1,000
1,000
30
29.8
31.3
0.509072
-0.562161
-0.228113
-0.228079
0.717046
0.797155
0.694702
0.509072
0.562161
0.562673
0.05202
0.188192
0.316001
0.059774
0.051039
0.578876
7,648
train
H1
H12
1,000
1,000
30
32.1
27.8
-2.287026
2.100308
2.768687
2.772764
8.156619
9.071015
8.335981
2.772764
2.768687
0.015483
7.688218
6.094615
4.412657
7.752527
7.793848
-2.160278