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
7,645
train
H0
H22
20
20
10
10
15
-0.548625
0.534761
0.39008
0.388247
0.394622
0.394974
0.39184
-0.548625
0.534761
0.575817
0.150736
0.236224
0.298294
0.045236
0.052696
-0.559505
7,645
train
H1
H22
20
20
10
10
10
1.980934
-1.920548
-2.079283
-2.229754
4.97558
5.013548
4.976521
-2.229754
2.079283
0.047347
4.971803
4.555825
3.815955
3.450498
3.504994
1.98318
7,645
train
H0
H22
30
30
10
13.333333
6.666667
0.741046
-0.803966
0.097112
0.097331
4.231373
4.371891
4.015289
0.741046
0.803966
0.134305
0.009473
0.224496
0.635861
1.157378
0.979077
0.803713
7,645
train
H1
H22
30
30
10
13.333333
13.333333
1.220019
-1.201659
-1.078713
-1.076292
1.66387
2.808496
1.491738
1.220019
1.201659
0.215871
1.158403
1.523762
1.443639
0.358699
0.469472
1.237582
7,645
train
H0
H22
50
50
10
12
12
0.2197
-0.213941
-0.142512
-0.142426
0.020694
2.102868
0.06699
0.2197
0.213941
0.551333
0.020285
0.014404
0.045723
0.000193
0.000605
0.21436
7,645
train
H1
H22
50
50
10
2
12
-0.81215
0.821178
0.223777
0.221899
1.96068
2.005979
1.805514
0.221899
0.821178
0.40545
0.049239
0.3896
0.674072
0.224246
0.149947
-0.82468
7,645
train
H0
H22
75
75
10
6.666667
13.333333
0.462713
-0.43155
-0.810093
-0.810197
1.061042
2.202417
0.986373
-0.810197
0.810093
0.531473
0.656419
0.360348
0.185943
0.938701
0.826741
0.439936
7,645
train
H1
H22
75
75
10
13.333333
14.666667
0.184546
-0.178434
-0.253712
-0.251751
0.110106
1.340547
0.072139
0.184546
0.253712
0.719528
0.063379
0.036162
0.031818
0.049443
0.019787
0.183129
7,645
train
H0
H22
100
100
10
10
8
0.90436
-0.818055
-1.831212
-1.876892
6.922428
6.819546
6.849169
-1.876892
1.831212
0.032563
3.522723
1.59502
0.670144
6.316808
6.201873
0.829522
7,645
train
H1
H22
100
100
10
7
7
-0.668941
0.676088
0.497349
0.493661
0.380477
0.840427
0.490004
0.493661
0.676088
0.494492
0.243701
0.338727
0.45656
0.042165
0.030608
-0.683182
7,645
train
H0
H22
150
150
10
12.666667
6.666667
-0.960868
0.991594
0.807795
0.807577
0.68817
6.340078
0.936823
-0.960868
0.991594
0.096187
0.652181
0.746347
0.984845
0.184002
0.128382
-1.004803
7,645
train
H1
H22
150
150
10
9.333333
9.333333
-1.317225
1.348033
0.47048
0.470329
4.061197
4.107816
4.157858
-1.317225
1.348033
0.125064
0.221209
1.0744
1.819072
0.415753
0.395039
-1.362232
7,645
train
H0
H22
200
200
10
8.5
9.5
-1.590229
1.630336
0.786704
0.784701
3.910109
3.540098
4.357381
-1.590229
1.630336
0.098481
0.615755
1.724228
2.663394
0.116982
0.084755
-1.652263
7,645
train
H1
H22
200
200
10
12
8.5
-1.767062
1.721887
2.679113
2.737973
10.982415
12.307719
10.310773
2.737973
2.679113
0.005768
7.496497
4.434615
2.969531
10.413187
10.239835
-1.740363
7,645
train
H0
H22
300
300
10
8
8.666667
0.167614
-0.149707
-0.592591
-0.591756
1.120112
1.368697
0.943431
0.167614
0.592591
0.623931
0.350175
0.081019
0.022253
0.783189
0.727079
0.151164
7,645
train
H1
H22
300
300
10
9
9.666667
-2.613607
2.642798
1.714288
1.715093
8.652529
8.384323
8.578021
-2.613607
2.642798
0.007457
2.941543
5.636644
7.002381
0.031072
0.050125
-2.675701
7,645
train
H0
H22
500
500
10
9.2
8.6
-1.704535
1.670727
1.885222
1.893457
3.829114
8.953834
3.587821
1.893457
1.885222
0.029911
3.585179
3.735851
2.796165
2.518786
2.702775
-1.692502
7,645
train
H1
H22
500
500
10
10.8
9.4
-0.84344
0.846627
0.920963
0.919621
0.847074
0.849849
0.849161
-0.84344
0.920963
0.390817
0.845702
0.768383
0.71685
0.584504
0.564553
-0.858136
7,645
train
H0
H22
1,000
1,000
10
10.2
9.1
-0.744586
0.748112
0.644793
0.644156
0.483201
1.464496
0.555468
0.644156
0.748112
0.447606
0.414938
0.501317
0.560491
0.138393
0.120541
-0.759411
7,645
train
H1
H22
1,000
1,000
10
10.2
10.1
-0.314809
0.310869
0.511653
0.511252
0.339601
0.418749
0.351809
-0.314809
0.511653
0.752672
0.261379
0.149359
0.096697
0.353173
0.360131
-0.315118
7,645
train
H0
H22
20
20
20
10
35
-0.096656
0.101984
0.26909
0.269447
0.29963
1.25244
0.214733
0.269447
0.26909
0.740456
0.072602
0.019313
0.010357
0.299534
0.234974
-0.11496
7,645
train
H1
H22
20
20
20
30
10
-2.102022
2.055133
2.267785
2.376857
5.802581
8.289852
5.729862
-2.102022
2.267785
0.027332
5.649451
4.947841
4.337647
5.12768
5.036325
-2.20674
7,645
train
H0
H22
30
30
20
26.666667
10
0.653404
-0.769207
0.145474
0.14591
4.228449
4.702906
3.881332
0.653404
0.769207
0.143608
0.02129
0.212658
0.58561
1.00647
0.830647
0.746082
7,645
train
H1
H22
30
30
20
16.666667
40
1.259679
-1.305805
-1.260915
-1.24924
1.581326
2.889113
1.632159
-1.24924
1.305805
0.152882
1.5606
1.596601
1.666972
0.725158
0.686543
1.429425
7,645
train
H0
H22
50
50
20
22
26
-0.746545
0.876657
-0.122113
-0.120836
4.266173
4.144458
4.320098
-0.120836
0.876657
0.115319
0.014601
0.262449
0.769341
1.529741
1.381686
-0.907149
7,645
train
H1
H22
50
50
20
14
22
0.184836
-0.119454
-0.759046
-0.763965
2.362995
2.455975
2.250261
-0.763965
0.759046
0.32461
0.583643
0.137382
0.014231
1.605497
1.52401
0.112663
7,645
train
H0
H22
75
75
20
18.666667
24
1.149156
-1.208874
-0.651852
-0.647431
2.569859
3.048721
2.239479
1.149156
1.208874
0.215577
0.419167
1.168053
1.451044
0.021963
0.004528
1.238375
7,645
train
H1
H22
75
75
20
21.333333
14.666667
-0.83103
0.839354
0.824216
0.824865
0.693808
9.992745
0.716539
-0.83103
0.839354
0.018628
0.680403
0.552609
0.703068
0.413415
0.323996
-0.862999
7,645
train
H0
H22
100
100
20
15
14
-0.344073
0.393748
-0.024867
-0.024781
0.401435
0.307222
0.674432
-0.024781
0.393748
0.682836
0.000614
0.027355
0.158018
0.189367
0.1646
-0.408596
7,645
train
H1
H22
100
100
20
22
19
-0.849409
0.866041
0.828092
0.822664
0.683104
1.887943
0.737391
-0.849409
0.866041
0.371106
0.676776
0.671182
0.754077
0.376541
0.320521
-0.894403
7,645
train
H0
H22
150
150
20
20.666667
17.333333
-1.170387
1.188475
0.882678
0.882795
1.556201
1.546188
1.568898
-1.170387
1.188475
0.222494
0.779326
1.190176
1.417622
0.088718
0.121763
-1.219924
7,645
train
H1
H22
150
150
20
14.666667
22
0.782809
-0.71334
-1.20755
-1.208412
2.110295
2.34773
1.994955
0.782809
1.20755
0.368809
1.46026
0.838957
0.506225
1.90011
1.88011
0.741953
7,645
train
H0
H22
200
200
20
23
20.5
0.355733
-0.384513
-0.060215
-0.060018
0.671339
1.076362
0.547191
0.355733
0.384513
0.694535
0.003602
0.088817
0.145213
0.125383
0.099174
0.392708
7,645
train
H1
H22
200
200
20
20
16
-0.566865
0.522059
0.93323
0.929823
1.025395
3.059659
1.226821
0.929823
0.93323
0.382518
0.864572
0.540869
0.272357
1.254566
1.395976
-0.541121
7,645
train
H0
H22
300
300
20
22.333333
17.333333
-2.456011
2.352632
2.975109
3.003329
9.501343
9.833509
9.456911
-2.456011
2.975109
0.00884
9.019985
7.147395
5.555192
8.548645
8.450561
-2.433214
7,645
train
H1
H22
300
300
20
19.666667
19
-1.01183
1.017177
1.226086
1.228726
1.624895
2.144168
1.562083
1.228726
1.226086
0.291553
1.509768
1.142726
1.035068
1.394381
1.335524
-1.054721
7,645
train
H0
H22
500
500
20
21.4
20.4
-0.432883
0.40311
0.728524
0.729483
0.92358
1.539276
0.843979
0.729483
0.728524
0.655741
0.532145
0.283785
0.16401
0.870784
0.831695
-0.418016
7,645
train
H1
H22
500
500
20
22.4
19.2
-1.609343
1.60688
1.634424
1.633521
2.681242
4.035782
2.757597
-1.609343
1.634424
0.09923
2.668391
2.537172
2.582503
1.56533
1.514485
-1.648598
7,645
train
H0
H22
1,000
1,000
20
18.1
21.6
1.584867
-1.544669
-1.752087
-1.75249
3.07134
3.175185
3.071381
-1.75249
1.752087
0.112564
3.071222
2.731387
2.383294
2.234226
2.272641
1.586772
7,645
train
H1
H22
1,000
1,000
20
18.6
19.5
-1.683397
1.636938
1.946662
1.95175
3.811561
9.064595
3.845941
1.95175
1.946662
0.028444
3.809329
3.334945
2.681496
3.003723
3.183245
-1.686111
7,645
train
H0
H22
20
20
30
15
25
0.301441
-0.22614
-0.750455
-0.740982
1.644697
1.796697
1.571686
-0.740982
0.750455
0.455735
0.549054
0.195077
0.050619
1.051585
0.950445
0.260701
7,645
train
H1
H22
20
20
30
25
20
-0.589897
0.451186
1.19492
1.217383
4.224653
5.336096
3.948068
1.217383
1.19492
0.138895
1.48202
0.566509
0.201906
3.779508
3.490729
-0.492304
7,645
train
H0
H22
30
30
30
23.333333
50
2.415653
-2.340565
-2.445074
-2.500611
6.25956
6.995472
6.269611
-2.500611
2.445074
0.014577
6.253058
5.909641
5.531029
4.040678
4.028858
2.442731
7,645
train
H1
H22
30
30
30
30
33.333333
0.475891
-0.245823
-0.658884
-0.649292
0.42204
5.749855
0.512885
-0.649292
0.658884
0.124435
0.42158
0.308123
0.055635
0.435875
0.709123
0.26039
7,645
train
H0
H22
50
50
30
28
16
-0.486195
0.563959
-0.052173
-0.051899
1.384894
2.917084
1.688413
-0.051899
0.563959
0.404587
0.002694
0.101176
0.335468
0.511385
0.557729
-0.599425
7,645
train
H1
H22
50
50
30
24
28
-0.36748
0.354317
0.221462
0.221105
0.172747
0.244707
0.224169
-0.36748
0.354317
0.701166
0.048887
0.077235
0.131261
0.000484
0.000594
-0.383748
7,645
train
H0
H22
75
75
30
32
30.666667
-2.195469
2.300286
1.630398
1.639421
5.799867
6.606975
6.021399
-2.195469
2.300286
0.01602
2.687701
4.368458
5.352927
0.079113
0.077639
-2.408461
7,645
train
H1
H22
75
75
30
37.333333
32
0.837256
-0.981842
-0.055011
-0.054968
4.416219
4.482987
4.37597
0.837256
0.981842
0.112142
0.003021
0.427835
0.957854
1.069866
0.986878
1.047711
7,645
train
H0
H22
100
100
30
23
25
0.040332
-0.154744
0.16273
0.16331
0.064295
4.694161
0.237551
0.16331
0.16273
0.195612
0.02667
0.005208
0.022174
0.156294
0.238034
0.157318
7,645
train
H1
H22
100
100
30
32
36
-0.485163
0.725437
-0.20998
-0.208651
2.939756
5.480021
3.555889
-0.208651
0.725437
0.139838
0.043535
0.081323
0.529495
1.355586
1.431291
-0.766383
7,645
train
H0
H22
150
150
30
27.333333
30
-1.409054
1.40596
1.275978
1.282763
1.926038
1.846221
1.997117
1.282763
1.40596
0.139868
1.645481
1.829348
1.988429
0.611158
0.666328
-1.476283
7,645
train
H1
H22
150
150
30
29.333333
26
-0.709034
0.679546
0.968159
0.969337
1.182198
1.307093
1.146026
0.969337
0.968159
0.47384
0.939614
0.595625
0.463495
1.179332
1.213204
-0.716245
7,645
train
H0
H22
200
200
30
33.5
31
0.621657
-0.609459
-0.613874
-0.613116
0.403744
0.712987
0.396559
-0.613116
0.613874
0.521578
0.375912
0.364628
0.363889
0.161864
0.204855
0.640915
7,645
train
H1
H22
200
200
30
36.5
27
-1.09187
1.022186
1.451234
1.447911
2.552974
2.613914
2.557244
1.447911
1.451234
0.278421
2.096447
1.435384
1.04523
2.605131
2.621632
-1.080149
7,645
train
H0
H22
300
300
30
26.666667
33.666667
1.10374
-1.0192
-1.502019
-1.498453
3.148502
5.239929
2.813501
-1.498453
1.502019
0.155048
2.245362
1.284235
1.030944
2.759114
2.567298
1.063811
7,645
train
H1
H22
300
300
30
29.666667
27
0.021312
0.059445
-0.03971
-0.039684
0.055274
4.214548
0.0031
0.021312
0.059445
0.239209
0.001575
0.012007
0.003669
0.001555
0.006032
-0.064732
7,645
train
H0
H22
500
500
30
27
28.4
-0.55255
0.534002
0.516153
0.515475
0.365234
0.846985
0.305742
0.515475
0.534002
0.57458
0.265714
0.338863
0.287436
0.122715
0.143748
-0.56132
7,645
train
H1
H22
500
500
30
27.8
32.8
-0.261339
0.336482
0.024509
0.024516
0.375087
0.373964
0.393358
0.024516
0.336482
0.722593
0.000601
0.042386
0.11345
0.089091
0.095806
-0.354996
7,645
train
H0
H22
1,000
1,000
30
30.9
28.4
-0.548296
0.490089
0.678372
0.677886
0.465697
1.125226
0.495828
0.677886
0.678372
0.60335
0.459529
0.383207
0.242271
0.480059
0.481951
-0.519589
7,645
train
H1
H22
1,000
1,000
30
30.7
31.1
-2.39418
2.488998
2.083414
2.088318
5.390444
7.082621
5.832195
-2.39418
2.488998
0.008881
4.361072
5.324779
6.202637
1.195624
1.146748
-2.616617
7,645
train
H0
H22
20
20
40
55
45
-1.125754
1.129003
1.008266
1.006489
1.4834
7.056725
1.364738
1.006489
1.129003
0.070112
1.013019
1.331455
1.282886
0.324903
0.466102
-1.303599
7,645
train
H1
H22
20
20
40
30
45
-0.781813
0.693976
0.746483
0.767246
0.632944
1.011279
0.618212
-0.781813
0.746483
0.434366
0.588666
0.561309
0.506971
0.420424
0.492605
-0.781743
7,645
train
H0
H22
30
30
40
43.333333
36.666667
-0.865021
0.799189
0.931022
0.917436
0.858167
3.074231
0.843518
-0.865021
0.931022
0.380321
0.841689
0.624598
0.638739
0.823527
0.656049
-0.846871
7,645
train
H1
H22
30
30
40
43.333333
40
-1.799897
1.846922
1.559593
1.60249
3.483391
3.445375
3.476113
-1.799897
1.846922
0.036127
2.567975
3.264687
3.564362
0.617832
0.710941
-2.095492
7,645
train
H0
H22
50
50
40
26
48
2.635446
-2.698506
-2.188381
-2.225193
8.535224
11.101612
8.096954
2.635446
2.698506
0.005611
4.951485
6.976585
7.394193
1.100868
1.368505
2.769689
7,645
train
H1
H22
50
50
40
42
48
-0.084498
0.06149
0.09435
0.094252
0.011442
0.239913
0.0092
0.094252
0.09435
0.933024
0.008883
0.004714
0.005702
0.032514
0.032503
-0.084041
7,645
train
H0
H22
75
75
40
38.666667
40
-0.591703
0.622642
0.44469
0.443572
0.423919
0.715155
0.455108
0.443572
0.622642
0.499798
0.196756
0.322638
0.394159
0.023663
0.021095
-0.674807
7,645
train
H1
H22
75
75
40
45.333333
40
-1.840356
1.879406
1.67439
1.697329
3.429311
3.362701
3.44712
-1.840356
1.879406
0.042444
2.880924
3.391881
3.571296
1.05688
1.157608
-2.029145
7,645
train
H0
H22
100
100
40
36
39
-0.61219
0.793902
-0.225004
-0.224444
5.574537
6.637956
5.011236
-0.61219
0.793902
0.081625
0.050375
0.246073
0.649709
2.196294
1.988281
-0.859056
7,645
train
H1
H22
100
100
40
40
39
-0.585018
0.712603
0.376842
0.374735
0.400902
4.077585
0.606413
0.374735
0.712603
0.253207
0.140426
0.258348
0.508889
0.000013
0.003088
-0.769896
7,645
train
H0
H22
150
150
40
34.666667
39.333333
1.090729
-1.028661
-1.23988
-1.238591
1.562789
1.551479
1.569801
1.090729
1.23988
0.273608
1.534107
1.329817
1.038131
1.224805
1.225119
1.094792
7,645
train
H1
H22
150
150
40
42.666667
43.333333
-0.500089
0.382918
0.675098
0.674636
0.558491
0.996926
0.598111
-0.500089
0.675098
0.674638
0.455133
0.240236
0.148588
0.574669
0.59958
-0.419792
7,645
train
H0
H22
200
200
40
37
28.5
-0.473194
0.368642
0.82748
0.824231
1.168465
1.66122
1.236453
0.824231
0.82748
0.538899
0.679357
0.30569
0.141762
1.253057
1.331034
-0.402734
7,645
train
H1
H22
200
200
40
37.5
43.5
-0.366861
0.492262
0.217324
0.217805
0.121243
4.293817
0.27825
-0.366861
0.492262
0.231435
0.047439
0.089925
0.243995
0.002223
0.008589
-0.531381
7,645
train
H0
H22
300
300
40
38.333333
41.666667
0.249018
-0.167739
-0.449069
-0.448484
0.408158
0.721756
0.454428
-0.448484
0.449069
0.79675
0.201138
0.084161
0.026322
0.400054
0.381495
0.175131
7,645
train
H1
H22
300
300
40
40
34.666667
-1.078188
1.300868
0.509443
0.508656
2.39487
3.40109
2.861287
0.508656
1.300868
0.160004
0.258731
0.897835
1.693767
0.194845
0.195542
-1.405059
7,645
train
H0
H22
500
500
40
40
38.8
-0.009468
-0.015799
0.106259
0.106063
0.113716
0.39648
0.07264
-0.009468
0.106259
0.940969
0.011249
0.000091
0.000114
0.062556
0.054961
0.011317
7,645
train
H1
H22
500
500
40
37.8
38.6
-0.071418
0.091662
0.201781
0.201544
0.125054
0.825235
0.139471
0.201544
0.201781
0.843422
0.04062
0.005179
0.008481
0.1082
0.140736
-0.097611
7,645
train
H0
H22
1,000
1,000
40
40.7
41.5
0.144059
-0.21166
-0.165284
-0.165201
0.103467
5.839124
0.02825
-0.165201
0.21166
0.119705
0.027291
0.007585
0.04329
0.023294
0.016053
0.225257
7,645
train
H1
H22
1,000
1,000
40
37.9
39.5
-1.78119
1.924956
1.595263
1.598424
2.96212
5.089586
3.20968
-1.78119
1.924956
0.038097
2.554959
3.023898
3.712235
0.81288
0.780242
-2.073813
7,645
train
H0
H22
20
20
50
45
50
-0.205401
0.486628
-0.301707
-0.299026
3.338788
3.395415
3.269877
-0.299026
0.486628
0.194964
0.089416
0.048247
0.252822
1.619993
1.36806
-0.489825
7,645
train
H1
H22
20
20
50
45
55
0.115294
-0.335649
0.050269
0.049875
0.220672
1.597736
0.290493
0.115294
0.335649
0.659903
0.002488
0.012165
0.081494
0.287841
0.329583
0.342761
7,645
train
H0
H22
30
30
50
53.333333
66.666667
0.485632
-0.724426
-0.267166
-0.269358
1.72434
1.763325
1.719642
-0.269358
0.724426
0.423238
0.072554
0.28053
0.479188
0.312205
0.272838
0.753312
7,645
train
H1
H22
30
30
50
53.333333
43.333333
-1.512238
1.340419
1.713113
1.75315
3.340607
3.597529
3.309925
-1.512238
1.713113
0.116996
3.073534
2.370382
1.88843
3.636188
3.559227
-1.567509
7,645
train
H0
H22
50
50
50
48
54
0.326902
-0.332951
-0.419255
-0.416406
0.272041
1.249016
0.243505
-0.416406
0.419255
0.734522
0.173394
0.097171
0.090588
0.174625
0.143694
0.339117
7,645
train
H1
H22
50
50
50
50
48
-1.070297
1.130764
0.995732
0.996913
1.122726
1.564321
1.155828
0.996913
1.130764
0.208651
0.993835
1.116783
1.301004
0.488494
0.482318
-1.257283
7,645
train
H0
H22
75
75
50
52
49.333333
-1.487801
1.602092
1.112388
1.117212
2.892026
4.510256
3.117887
1.117212
1.602092
0.060365
1.248163
2.002037
2.697982
0.034819
0.022359
-1.878121
7,645
train
H1
H22
75
75
50
49.333333
38.666667
-1.394485
1.277746
1.330537
1.316092
2.040926
2.955663
1.933471
-1.394485
1.330537
0.16438
1.732098
1.854122
1.654752
0.745799
1.035324
-1.390489
7,645
train
H0
H22
100
100
50
50
49
-0.263772
0.417841
-0.081785
-0.081808
1.400095
1.475251
1.399023
-0.081808
0.417841
0.496828
0.006693
0.064861
0.191285
0.431622
0.426807
-0.490977
7,645
train
H1
H22
100
100
50
50
56
0.877158
-1.159476
-0.355637
-0.356559
3.102196
5.737745
3.508443
0.877158
1.159476
0.12509
0.127134
0.74045
1.33095
0.375919
0.51645
1.293997
7,645
train
H0
H22
150
150
50
56
51.333333
-1.516099
1.327311
1.807269
1.826103
4.329758
9.501968
4.102886
1.826103
1.807269
0.02331
3.33465
2.197527
1.807764
4.18538
3.988426
-1.519429
7,645
train
H1
H22
150
150
50
51.333333
44
-0.927765
0.892207
0.945056
0.9439
0.916786
1.805864
0.89954
-0.927765
0.945056
0.326555
0.890947
0.868423
0.801762
0.519066
0.634367
-0.981077
7,645
train
H0
H22
200
200
50
43
52
0.084727
-0.010919
-0.222682
-0.222869
0.136531
2.100651
0.202693
-0.222869
0.222682
0.551781
0.049671
0.022029
0.000002
0.125037
0.174569
0.002701
7,645
train
H1
H22
200
200
50
52.5
47
-1.6434
1.720386
1.524148
1.523875
2.73436
2.754165
2.719321
-1.6434
1.720386
0.054292
2.322194
2.780268
2.968779
0.891635
0.952208
-1.924499
7,645
train
H0
H22
300
300
50
48
50.333333
0.328342
-0.384281
-0.199133
-0.198727
0.215856
0.314093
0.249786
-0.198727
0.384281
0.680743
0.039492
0.080466
0.138065
0.01536
0.008718
0.411449
7,645
train
H1
H22
300
300
50
46.333333
48.333333
-0.549317
0.673531
0.587601
0.587968
0.406192
7.224414
0.346197
-0.549317
0.673531
0.065079
0.345706
0.253791
0.458436
0.272024
0.223239
-0.744392
7,645
train
H0
H22
500
500
50
51
47.4
-1.176887
1.011957
1.465088
1.463685
2.638314
2.735464
2.611795
1.463685
1.465088
0.256059
2.142374
1.399943
1.041822
2.599171
2.781127
-1.135756
7,645
train
H1
H22
500
500
50
52
51.4
0.250782
0.063285
-0.325469
-0.325439
0.10958
6.084962
0.141322
0.250782
0.325469
0.107549
0.10591
0.072923
0.004304
0.137971
0.174688
-0.074566
7,645
train
H0
H22
1,000
1,000
50
51.8
48.7
-0.93252
0.895211
1.155799
1.155283
1.920577
9.659712
1.627463
1.155283
1.155799
0.021692
1.334679
0.792889
0.812285
1.605053
1.514774
-0.996459
7,645
train
H1
H22
1,000
1,000
50
49.4
47.9
-1.698744
1.6968
2.021789
2.02935
5.034592
9.315095
4.673459
2.02935
2.021789
0.025382
4.118263
2.758893
2.883105
4.217922
4.191875
-1.855107