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
H09
20
20
10
0
10
-0.256031
0.250618
0.264748
0.263419
0.07096
1.249954
0.071071
-0.256031
0.264748
0.74105
0.069389
0.057054
0.0625
0.085026
0.05161
-0.255673
7,648
train
H1
H09
20
20
10
5
15
0.248977
-0.238036
-0.267173
-0.262437
0.073332
0.122912
0.069493
-0.262437
0.267173
0.805084
0.068873
0.074983
0.056215
0.011972
0.015939
0.246773
7,648
train
H0
H09
30
30
10
3.333333
16.666667
0.54603
-0.540266
-0.693997
-0.682679
0.480686
0.674977
0.492888
0.54603
0.693997
0.57717
0.46605
0.397695
0.290196
0.325574
0.389466
0.557523
7,648
train
H1
H09
30
30
10
10
6.666667
0.463854
-0.420815
-1.177941
-1.223635
5.149872
6.722649
4.733007
-1.223635
1.177941
0.081283
1.497282
0.562569
0.176477
3.723468
3.555359
0.355955
7,648
train
H0
H09
50
50
10
12
10
-1.30705
1.335882
0.677222
0.670886
3.150942
3.276852
2.901867
-1.30705
1.335882
0.175323
0.450087
1.357235
1.786366
0.07653
0.034463
-1.355297
7,648
train
H1
H09
50
50
10
14
8
-0.616619
0.593341
0.28736
0.287969
1.060779
1.963542
0.755385
-0.616619
0.593341
0.544033
0.082926
0.311074
0.35187
0.028105
0.015054
-0.606725
7,648
train
H0
H09
75
75
10
9.333333
10.666667
-0.420755
0.411999
0.050249
0.050006
0.787582
1.322655
0.667186
-0.420755
0.411999
0.675538
0.002501
0.089227
0.169467
0.119588
0.074002
-0.418559
7,648
train
H1
H09
75
75
10
10.666667
12
0.538135
-0.471713
-1.482577
-1.506601
6.276505
6.618951
5.945281
-1.506601
1.482577
0.051168
2.269847
0.761066
0.222349
5.045025
4.860988
0.486643
7,648
train
H0
H09
100
100
10
12
9
0.249096
-0.241897
0.336859
0.337643
2.31952
4.640046
1.56725
0.337643
0.336859
0.200134
0.114003
0.014089
0.058469
0.83983
0.716535
0.243325
7,648
train
H1
H09
100
100
10
11
9
-0.52854
0.492313
0.486385
0.489985
0.9087
14.705495
0.280689
-0.52854
0.492313
0.002086
0.240086
0.510165
0.24277
0.068361
0.154256
-0.504131
7,648
train
H0
H09
150
150
10
8
12.666667
0.671468
-0.712338
-0.226208
-0.22517
0.694698
0.586233
1.10102
0.671468
0.712338
0.469635
0.050702
0.203164
0.507614
0.118349
0.106578
0.723073
7,648
train
H1
H09
150
150
10
14
6.666667
-2.027171
1.985478
2.233416
2.241511
5.04489
5.342535
5.028822
-2.027171
2.233416
0.043856
5.02437
4.701319
3.949002
3.588502
3.76607
-2.015469
7,648
train
H0
H09
200
200
10
12
10.5
1.509012
-1.517718
-1.099245
-1.097388
2.60276
2.570438
2.564656
1.509012
1.517718
0.123182
1.204261
1.953768
2.305771
0.109696
0.14826
1.541556
7,648
train
H1
H09
200
200
10
10
11.5
-0.06987
0.114202
-0.838011
-0.842451
5.314533
8.143768
4.088119
-0.06987
0.838011
0.043132
0.709724
0.023861
0.013034
2.792159
2.615988
-0.113701
7,648
train
H0
H09
300
300
10
11
11.333333
1.270174
-1.300585
-0.773511
-0.773321
1.829299
4.519816
2.215009
1.270174
1.300585
0.186516
0.598026
1.260418
1.690363
0.000147
0.000892
1.320956
7,648
train
H1
H09
300
300
10
11.666667
12.666667
0.59001
-0.533987
-1.543357
-1.554686
6.713057
9.145839
5.725627
-1.554686
1.543357
0.027413
2.41705
0.775739
0.2851
5.050857
4.905591
0.548361
7,648
train
H0
H09
500
500
10
10.8
15
1.635717
-1.629755
-1.054474
-1.054031
4.181313
4.79426
3.404583
-1.054031
1.629755
0.095605
1.110981
2.460828
2.655446
0.023582
0.035165
1.666542
7,648
train
H1
H09
500
500
10
11.2
7.4
-0.005213
0.056059
-1.393475
-1.415545
13.355407
21.97811
10.256789
-0.005213
1.393475
0.000066
2.003767
0.134542
0.003155
7.39598
7.245456
-0.06218
7,648
train
H0
H09
1,000
1,000
10
9.5
10.1
0.504357
-0.502259
-0.512922
-0.512321
0.26387
0.471827
0.274716
0.504357
0.512922
0.610208
0.262473
0.256457
0.252174
0.134932
0.127957
0.509777
7,648
train
H1
H09
1,000
1,000
10
10
11.5
2.772219
-2.663598
-4.600375
-4.686993
37.355405
50.909143
32.673408
-4.686993
4.600375
0
21.967901
11.031333
7.100561
32.446726
32.243505
2.706617
7,648
train
H0
H09
20
20
20
10
10
0.858706
-0.925939
-0.294477
-0.28664
1.766272
1.670619
1.829978
0.858706
0.925939
0.337303
0.082163
0.467023
0.851028
0.263949
0.196239
0.959508
7,648
train
H1
H09
20
20
20
10
40
0.549101
-0.664206
-0.19904
-0.20526
1.423842
2.490826
1.279906
-0.20526
0.664206
0.473891
0.042132
0.258507
0.438261
0.247744
0.183031
0.716163
7,648
train
H0
H09
30
30
20
23.333333
13.333333
1.491131
-1.540858
-1.037129
-1.042558
2.995801
3.326689
2.78286
1.491131
1.540858
0.109973
1.086928
2.012374
2.403863
0.032951
0.100296
1.598315
7,648
train
H1
H09
30
30
20
40
20
-0.165818
0.008695
0.740605
0.730294
2.692723
3.065752
2.532745
-0.165818
0.740605
0.281852
0.533329
0.080496
0.000302
2.153484
1.915638
-0.035929
7,648
train
H0
H09
50
50
20
26
14
-1.080174
0.968538
1.527365
1.543039
3.349561
3.757421
3.1673
1.543039
1.527365
0.205225
2.380969
1.380392
0.944718
3.293702
3.218835
-1.021499
7,648
train
H1
H09
50
50
20
22
18
0.763816
-0.747719
-0.866891
-0.867071
0.817749
3.457089
0.759366
0.763816
0.866891
0.32637
0.751812
0.558645
0.559487
0.516954
0.417185
0.768358
7,648
train
H0
H09
75
75
20
14.666667
22.666667
0.412538
-0.422428
-0.171379
-0.1697
0.48936
0.781029
0.367162
0.412538
0.422428
0.66241
0.028798
0.143262
0.178094
0.042121
0.021066
0.436588
7,648
train
H1
H09
75
75
20
14.666667
16
-0.442981
0.520995
-0.324518
-0.327409
2.936946
3.029267
3.100398
-0.327409
0.520995
0.212206
0.107196
0.034898
0.273659
1.368045
1.316711
-0.541826
7,648
train
H0
H09
100
100
20
23
14
-0.242152
0.05203
1.021089
1.016983
2.671274
3.213375
3.392635
1.016983
1.021089
0.183357
1.034254
0.265498
0.00285
2.779233
2.769447
-0.063385
7,648
train
H1
H09
100
100
20
25
22
2.032166
-2.15656
-1.728832
-1.749718
3.623598
9.345742
4.238198
2.032166
2.15656
0.023663
3.061513
3.708384
4.682832
0.802184
0.717492
2.26256
7,648
train
H0
H09
150
150
20
22.666667
18
-0.608731
0.516835
1.093035
1.090917
1.849324
1.823347
1.991049
1.090917
1.093035
0.36953
1.1901
0.608163
0.268335
2.09918
2.087022
-0.534215
7,648
train
H1
H09
150
150
20
16
21.333333
1.58612
-1.5257
-1.836976
-1.845908
3.432849
3.722116
3.453499
-1.845908
1.836976
0.115852
3.407377
2.948024
2.328488
2.743192
2.909775
1.572426
7,648
train
H0
H09
200
200
20
21.5
20.5
0.468538
-0.524964
-0.276271
-0.275568
0.165277
1.32479
0.349761
0.468538
0.524964
0.589858
0.075938
0.125139
0.274441
0.004547
0.006056
0.539041
7,648
train
H1
H09
200
200
20
21.5
15.5
0.369354
-0.379514
-0.549103
-0.549192
0.603475
2.028266
0.380163
0.369354
0.549103
0.566561
0.301612
0.121905
0.144022
0.344423
0.285935
0.39456
7,648
train
H0
H09
300
300
20
18
18.333333
2.002607
-2.015945
-1.495608
-1.499182
5.097353
6.338845
4.485826
-1.499182
2.015945
0.037297
2.247546
3.763974
4.068199
0.272307
0.340591
2.0825
7,648
train
H1
H09
300
300
20
21.333333
17.666667
1.070622
-1.132556
-0.87115
-0.872658
1.028614
1.504559
1.196833
-0.872658
1.132556
0.24158
0.761532
0.989429
1.283746
0.154917
0.142004
1.171048
7,648
train
H0
H09
500
500
20
19.4
19
-1.448172
1.537695
0.770517
0.770119
3.244389
2.938951
3.601986
-1.448172
1.537695
0.11423
0.593083
1.560089
2.366862
0.068332
0.05395
-1.579461
7,648
train
H1
H09
500
500
20
19.4
22.2
1.3165
-1.2703
-1.983747
-1.994123
6.175535
9.495937
5.356573
-1.994123
1.983747
0.023375
3.976527
2.125456
1.613122
5.295406
5.167401
1.317168
7,648
train
H0
H09
1,000
1,000
20
19.9
22.6
1.265206
-1.35997
-0.692893
-0.692444
2.230344
2.521971
2.656351
1.265206
1.35997
0.15995
0.479479
1.210551
1.849539
0.036535
0.039173
1.405239
7,648
train
H1
H09
1,000
1,000
20
16.2
21
5.120166
-4.996443
-6.140722
-6.243484
41.868723
47.222322
40.539003
-6.243484
6.140722
0
38.981086
29.721158
25.031318
35.652412
35.480019
5.157595
7,648
train
H0
H09
20
20
30
55
25
0.46662
-0.492887
-0.469476
-0.507365
0.258808
0.791565
0.261523
-0.507365
0.492887
0.638117
0.25742
0.266356
0.232159
0.055764
0.067192
0.470333
7,648
train
H1
H09
20
20
30
20
35
1.846047
-1.916777
-1.474472
-1.464639
3.574884
6.337516
3.976949
1.846047
1.916777
0.043178
2.145167
2.922804
3.6991
0.286809
0.245103
2.021986
7,648
train
H0
H09
30
30
30
33.333333
30
0.410907
-0.479553
-0.041593
-0.041267
1.084438
1.327502
0.993119
0.410907
0.479553
0.608621
0.001703
0.105537
0.220411
0.358539
0.302876
0.498146
7,648
train
H1
H09
30
30
30
33.333333
36.666667
0.768186
-0.873205
-0.672012
-0.666228
0.494757
5.026189
0.606802
-0.666228
0.873205
0.16989
0.443859
0.510082
0.760331
0.067187
0.02402
0.932798
7,648
train
H0
H09
50
50
30
48
26
-1.943369
1.949637
1.79498
1.767536
3.624747
4.177827
3.75864
-1.943369
1.949637
0.038229
3.124182
3.695727
3.805228
1.062839
1.093279
-2.072391
7,648
train
H1
H09
50
50
30
44
22
-1.016541
0.979465
0.949288
0.945059
1.057583
1.356146
1.028343
0.945059
0.979465
0.290069
0.893136
1.020093
0.964743
0.446543
0.54243
-1.057971
7,648
train
H0
H09
75
75
30
32
29.333333
1.125207
-1.112122
-1.234713
-1.243143
1.569337
2.447197
1.546937
1.125207
1.234713
0.236936
1.545405
1.315454
1.23861
0.959764
0.896685
1.18268
7,648
train
H1
H09
75
75
30
22.666667
33.333333
0.869083
-0.764191
-1.323442
-1.318485
2.603359
3.154672
2.489371
0.869083
1.323442
0.288031
1.738401
0.962182
0.583564
2.285659
2.074939
0.809849
7,648
train
H0
H09
100
100
30
29
30
0.778159
-0.760355
-1.015546
-1.009046
1.246754
1.817493
1.147271
0.778159
1.015546
0.426109
1.018174
0.688209
0.572405
0.955329
0.871384
0.795868
7,648
train
H1
H09
100
100
30
31
32
-0.334813
0.282256
0.442977
0.441081
0.21415
0.348993
0.22717
0.441081
0.442977
0.764696
0.194552
0.135711
0.079512
0.276398
0.306655
-0.29932
7,648
train
H0
H09
150
150
30
29.333333
28
0.081344
-0.252212
0.54655
0.543804
1.773637
3.924118
2.277016
0.081344
0.54655
0.269775
0.295723
0.008809
0.062352
1.549311
1.70323
0.259356
7,648
train
H1
H09
150
150
30
30
40
0.263466
-0.116033
-0.888883
-0.88856
2.90573
3.113034
2.805845
-0.88856
0.888883
0.245877
0.789539
0.124057
0.013263
2.266133
2.223939
0.124093
7,648
train
H0
H09
200
200
30
33
23.5
-0.442407
0.342241
1.104918
1.105712
3.743299
5.699754
3.223885
1.105712
1.104918
0.127167
1.222599
0.350387
0.11775
3.016452
2.843905
-0.36305
7,648
train
H1
H09
200
200
30
31
25.5
-1.587481
1.682356
0.912975
0.914714
4.25061
5.46822
4.549445
-1.587481
1.682356
0.078915
0.836701
2.028574
2.838254
0.097006
0.099704
-1.757018
7,648
train
H0
H09
300
300
30
32.666667
32.333333
-0.337858
0.152985
0.785334
0.786408
1.230381
4.42344
1.627696
-0.337858
0.785334
0.219222
0.618437
0.223588
0.02349
1.505698
1.718836
-0.160407
7,648
train
H1
H09
300
300
30
28.333333
26.666667
-0.380242
0.455162
-0.165808
-0.166101
2.175307
2.65078
1.84583
-0.166101
0.455162
0.397359
0.02759
0.083736
0.2078
0.730102
0.706582
-0.475996
7,648
train
H0
H09
500
500
30
34
32.8
-1.667276
1.824218
1.144841
1.143354
3.304337
3.516092
3.739721
-1.667276
1.824218
0.053175
1.307257
2.423103
3.332776
0.009722
0.014508
-1.933501
7,648
train
H1
H09
500
500
30
27.6
27.8
0.953414
-0.836154
-1.656382
-1.661961
4.989016
5.311159
4.701165
-1.661961
1.656382
0.095314
2.762114
1.245589
0.698519
4.540656
4.446407
0.876711
7,648
train
H0
H09
1,000
1,000
30
32.7
31.3
0.4446
-0.462541
-0.601776
-0.601503
0.560862
1.080119
0.435899
0.4446
0.601776
0.627174
0.361806
0.197363
0.213676
0.406912
0.389148
0.485708
7,648
train
H1
H09
1,000
1,000
30
30.3
29.9
2.057619
-2.048876
-2.639059
-2.654977
8.882358
12.797393
7.924283
-2.654977
2.639059
0.005096
7.048901
4.503205
4.200073
7.528131
7.425659
2.161249
7,648
train
H0
H09
20
20
40
45
45
-1.050936
0.886957
1.275028
1.309223
2.338238
3.623847
2.244131
1.309223
1.275028
0.295243
1.714064
1.111172
0.832236
2.854045
2.666168
-1.046689
7,648
train
H1
H09
20
20
40
45
35
0.070996
-0.114698
0.095168
0.093906
0.326194
0.965534
0.276479
0.093906
0.114698
0.809591
0.008818
0.003955
0.01307
0.270314
0.219352
0.10878
7,648
train
H0
H09
30
30
40
30
33.333333
0.729361
-0.669922
-0.977983
-0.973958
1.312458
1.81314
1.241256
-0.973958
0.977983
0.479105
0.948594
0.600996
0.435709
1.003803
0.917586
0.707742
7,648
train
H1
H09
30
30
40
33.333333
40
1.010363
-1.126952
-0.719092
-0.718237
1.54069
1.529555
1.525414
1.010363
1.126952
0.235303
0.515864
0.986542
1.256433
0.000041
0.002183
1.186808
7,648
train
H0
H09
50
50
40
54
38
-0.692022
0.557959
1.041022
1.032284
1.91953
1.954599
1.902077
1.032284
1.041022
0.38634
1.065611
0.567409
0.321377
2.156079
2.11327
-0.646219
7,648
train
H1
H09
50
50
40
36
32
-1.148473
1.628158
-0.012638
-0.012709
8.800679
12.572038
10.29691
-0.012709
1.628158
0.00566
0.000162
0.9618
2.674766
4.199378
4.530311
-1.695905
7,648
train
H0
H09
75
75
40
44
41.333333
-0.497161
0.689615
0.252711
0.251058
0.46984
3.588461
0.688222
0.251058
0.689615
0.309469
0.06303
0.194962
0.47581
0.030703
0.081429
-0.731205
7,648
train
H1
H09
75
75
40
45.333333
42.666667
0.155004
-0.092592
-0.512791
-0.516881
1.889755
6.224647
1.536246
-0.516881
0.512791
0.101178
0.267166
0.025399
0.007687
1.110734
1.001332
0.090251
7,648
train
H0
H09
100
100
40
42
33
-0.897435
0.874599
0.6373
0.637913
1.375765
3.508033
1.124458
-0.897435
0.874599
0.319722
0.406933
0.767651
0.772373
0.011486
0.028718
-0.948688
7,648
train
H1
H09
100
100
40
34
39
0.924151
-1.013588
-0.612808
-0.613589
1.121369
1.397386
1.216957
0.924151
1.013588
0.274873
0.376491
0.765855
1.024361
0.002081
0.001879
1.091908
7,648
train
H0
H09
150
150
40
44
44
0.174641
-0.10722
-0.37421
-0.374577
0.540088
1.338428
0.456472
0.174641
0.37421
0.720029
0.140308
0.036967
0.011308
0.312248
0.268097
0.115026
7,648
train
H1
H09
150
150
40
29.333333
38.666667
1.955806
-1.969942
-1.922244
-1.925945
3.762468
8.860093
3.925394
1.955806
1.969942
0.03121
3.709262
3.716794
3.879888
1.815811
1.659327
2.082444
7,648
train
H0
H09
200
200
40
43
34
-0.853898
0.763357
1.063454
1.059607
1.298809
1.480548
1.260789
-0.853898
1.063454
0.417332
1.122767
0.78358
0.582272
1.313043
1.270497
-0.811058
7,648
train
H1
H09
200
200
40
42
40.5
0.082631
0.000567
-0.345434
-0.345035
0.710015
1.212276
0.605516
-0.345035
0.345434
0.738778
0.119049
0.007967
0.000008
0.37935
0.317333
-0.001587
7,648
train
H0
H09
300
300
40
39.666667
39.666667
-0.386285
0.653428
-0.110332
-0.110196
1.370577
3.987966
1.884014
-0.110196
0.653428
0.262767
0.012143
0.086034
0.427342
0.69745
0.716397
-0.692571
7,648
train
H1
H09
300
300
40
37.333333
36.333333
0.379956
-0.423603
-0.566071
-0.567228
0.770375
5.388307
0.498536
0.379956
0.566071
0.145474
0.321748
0.12136
0.178957
0.480982
0.444704
0.447417
7,648
train
H0
H09
500
500
40
39.8
41.4
-0.760038
0.833963
0.420857
0.420322
1.276501
1.356724
1.222912
-0.760038
0.833963
0.374959
0.176671
0.546573
0.696171
0.041886
0.044225
-0.887223
7,648
train
H1
H09
500
500
40
41
35.4
-1.00493
1.135009
0.1507
0.150955
6.046435
6.700663
5.427132
-1.00493
1.135009
0.0663
0.022787
0.817869
1.290116
1.474997
1.456459
-1.207848
7,648
train
H0
H09
1,000
1,000
40
41.8
39.8
-0.766253
0.637766
0.857777
0.856925
0.735555
1.797658
0.743047
-0.766253
0.857777
0.49661
0.734321
0.636179
0.407034
0.619271
0.659965
-0.679833
7,648
train
H1
H09
1,000
1,000
40
36.7
37.2
0.730769
-0.614415
-1.452197
-1.45366
5.874277
8.302599
4.861799
-1.45366
1.452197
0.040155
2.113126
0.644444
0.377163
4.486784
4.366309
0.654794
7,648
train
H0
H09
20
20
50
65
55
-0.245829
-0.082191
0.563867
0.556219
2.160835
2.166469
2.156904
0.556219
0.563867
0.340122
0.309379
0.026296
0.003791
1.912762
1.737898
0.047569
7,648
train
H1
H09
20
20
50
50
50
-0.437001
0.538099
0.074671
0.073169
1.784121
3.051555
1.641697
0.073169
0.538099
0.383744
0.005354
0.190004
0.353218
0.338543
0.203861
-0.628784
7,648
train
H0
H09
30
30
50
76.666667
53.333333
-1.095155
0.819894
1.229858
1.229823
1.747173
2.441038
1.77357
-1.095155
1.229858
0.365032
1.512464
1.090449
0.6904
2.55098
2.731166
-0.905818
7,648
train
H1
H09
30
30
50
53.333333
56.666667
0.989224
-1.096622
-0.847201
-0.848297
1.184205
1.682528
1.217343
0.989224
1.096622
0.241482
0.719608
0.98274
1.178085
0.030316
0.0256
1.171291
7,648
train
H0
H09
50
50
50
56
42
-0.579174
0.602673
0.392821
0.392808
0.801028
4.418396
0.621251
-0.579174
0.602673
0.219686
0.154298
0.359959
0.36218
0.000035
0.009104
-0.679236
7,648
train
H1
H09
50
50
50
50
50
0.356728
-0.108891
-0.798612
-0.810578
3.729105
5.174653
3.499144
-0.810578
0.798612
0.159446
0.657037
0.117277
0.010872
2.396618
2.148707
0.133789
7,648
train
H0
H09
75
75
50
52
61.333333
0.668345
-0.737577
-0.545789
-0.541173
0.540385
0.56723
0.563089
-0.541173
0.737577
0.426843
0.292868
0.435427
0.530718
0.000442
0.004427
0.794606
7,648
train
H1
H09
75
75
50
58.666667
52
-0.40247
0.075736
0.897221
0.891915
3.493672
4.259777
3.327427
0.891915
0.897221
0.189434
0.795512
0.14905
0.006169
2.855119
2.753533
-0.082931
7,648
train
H0
H09
100
100
50
57
47
-0.58255
0.108091
1.165616
1.158348
3.971865
3.828757
3.980589
1.158348
1.165616
0.136655
1.341771
0.291443
0.012495
3.728675
3.434903
-0.134956
7,648
train
H1
H09
100
100
50
48
50
0.084207
-0.017507
-0.028062
-0.027842
0.069421
1.231813
0.030234
0.084207
0.028062
0.745385
0.000775
0.008113
0.000306
0.020925
0.00173
0.017732
7,648
train
H0
H09
150
150
50
53.333333
50
-2.21251
2.453644
1.659957
1.665903
6.908391
8.368832
7.228178
-2.21251
2.453644
0.006925
2.775234
4.971141
6.082427
0.003706
0.002657
-2.700424
7,648
train
H1
H09
150
150
50
54.666667
54.666667
0.208153
-0.320045
-0.177353
-0.176219
0.031652
3.077621
0.049173
-0.176219
0.320045
0.379812
0.031053
0.043615
0.100988
0.000322
0.009103
0.348849
7,648
train
H0
H09
200
200
50
48
57
1.240466
-1.22287
-1.316436
-1.314769
1.75629
4.115488
1.731692
1.240466
1.316436
0.178403
1.728617
1.474657
1.489554
1.157962
1.005079
1.345688
7,648
train
H1
H09
200
200
50
46.5
59.5
1.830428
-1.597166
-2.189118
-2.177143
5.19669
6.274498
5.293891
-2.177143
2.189118
0.070867
4.73995
3.304203
2.542348
4.727446
5.093411
1.749227
7,648
train
H0
H09
300
300
50
51
46
0.06232
-0.016283
-0.267609
-0.26786
0.517451
1.057545
0.430899
-0.26786
0.267609
0.787332
0.071749
0.005151
0.000204
0.254578
0.213772
0.016333
7,648
train
H1
H09
300
300
50
53.333333
49.666667
-1.395687
1.478746
0.924066
0.922255
3.650833
4.129782
3.408556
-1.395687
1.478746
0.104595
0.850554
1.93901
2.1894
0.034829
0.02666
-1.622975
7,648
train
H0
H09
500
500
50
48.6
52.4
1.069176
-1.0974
-1.158798
-1.157001
1.36067
1.621121
1.343587
-1.157001
1.158798
0.231301
1.33865
1.132521
1.201117
0.923095
0.913208
1.197013
7,648
train
H1
H09
500
500
50
49.4
51.6
1.796229
-1.930908
-1.900076
-1.905695
3.780819
17.387927
3.632064
-1.905695
1.930908
0.000588
3.631673
3.193871
3.730202
2.499004
2.311718
2.110713
7,648
train
H0
H09
1,000
1,000
50
52.1
50.5
-0.892481
0.772888
1.077335
1.076108
1.357402
1.651127
1.317909
-0.892481
1.077335
0.400787
1.158008
0.802718
0.598069
1.30102
1.226266
-0.840217
7,648
train
H1
H09
1,000
1,000
50
49.1
51.2
1.838056
-1.737673
-2.270627
-2.285658
7.070014
18.652063
6.424221
-2.285658
2.270627
0.000323
5.224233
3.317068
3.019609
6.351499
6.243887
1.893857