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
7,647
train
H0
H06
20
20
10
15
5
-1.167321
1.183421
0.52133
0.529864
3.912641
5.607094
3.495815
-1.167321
1.183421
0.132372
0.280756
0.915199
1.406886
0.378219
0.295131
-1.211462
7,647
train
H1
H06
20
20
10
0
15
-1.023785
0.985712
1.268142
1.324133
1.945015
1.92654
1.960188
-1.023785
1.268142
0.31679
1.753329
1.389806
0.989499
2.049844
2.05028
-1.001076
7,647
train
H0
H06
30
30
10
10
6.666667
-0.985211
1.008183
0.539663
0.530508
1.719303
1.845153
1.563453
-0.985211
1.008183
0.313223
0.281439
0.770275
1.014586
0.015944
0.000859
-1.008481
7,647
train
H1
H06
30
30
10
3.333333
13.333333
2.043012
-2.05271
-1.477489
-1.474478
4.759877
4.980753
4.956603
2.043012
2.05271
0.038336
2.174086
3.444343
4.256009
0.205166
0.241742
2.071241
7,647
train
H0
H06
50
50
10
18
4
-0.807898
0.777989
1.272616
1.266963
2.106038
2.871925
2.253209
1.266963
1.272616
0.324132
1.605194
1.051328
0.603438
2.471575
2.630469
-0.795218
7,647
train
H1
H06
50
50
10
24
18
0.807659
-0.798279
-0.645255
-0.645362
0.740984
0.745137
0.726371
-0.645362
0.798279
0.418738
0.416492
0.570929
0.636683
0.036832
0.046358
0.808613
7,647
train
H0
H06
75
75
10
9.333333
9.333333
-0.853395
0.891848
0.135274
0.13641
3.053763
3.684249
2.877786
-0.853395
0.891848
0.23719
0.018608
0.423811
0.796814
0.648289
0.654393
-0.891405
7,647
train
H1
H06
75
75
10
12
17.333333
2.478379
-2.513036
-1.81367
-1.814158
6.543898
9.17817
7.378553
2.478379
2.513036
0.01187
3.29117
5.055443
6.38735
0.340525
0.317682
2.515992
7,647
train
H0
H06
100
100
10
11
9
-1.781009
1.761793
1.751404
1.761989
3.232801
3.244099
3.302958
1.761989
1.761793
0.076867
3.104607
3.143587
3.110348
1.720935
1.777072
-1.769164
7,647
train
H1
H06
100
100
10
8
12
2.624243
-2.626676
-2.397535
-2.425336
7.113134
7.201865
6.954991
-2.425336
2.626676
0.008117
5.882253
7.024919
6.947314
2.573386
2.620424
2.647184
7,647
train
H0
H06
150
150
10
6.666667
10
0.269924
-0.267794
-0.347966
-0.346086
0.134577
0.279355
0.12643
-0.346086
0.347966
0.786685
0.119775
0.089297
0.071613
0.091227
0.0781
0.270618
7,647
train
H1
H06
150
150
10
8
7.333333
2.480951
-2.469464
-2.474112
-2.523272
6.366903
22.071266
6.615111
2.480951
2.474112
0.000063
6.366902
5.813706
6.129139
3.665969
3.483314
2.492807
7,647
train
H0
H06
200
200
10
9
10
-2.227005
2.250899
1.390806
1.390348
6.185999
6.827283
6.773898
-2.227005
2.250899
0.023542
1.933068
3.744365
5.081827
0.000255
0
-2.264516
7,647
train
H1
H06
200
200
10
10
7.5
2.770568
-2.801277
-1.764972
-1.768999
8.909223
9.753604
10.03519
2.770568
2.801277
0.004708
3.129359
5.852325
7.894198
0.068874
0.080171
2.826355
7,647
train
H0
H06
300
300
10
11.666667
12.666667
0.663924
-0.678224
-0.354254
-0.354312
0.985927
2.12276
0.753507
0.663924
0.678224
0.493642
0.125537
0.376183
0.459932
0.012858
0.006595
0.684528
7,647
train
H1
H06
300
300
10
12.666667
8
2.392118
-2.445552
-1.188404
-1.191208
7.732663
14.643271
10.422294
2.392118
2.445552
0.002148
1.418976
3.505799
6.001342
0.182666
0.211746
2.462984
7,647
train
H0
H06
500
500
10
10.8
10.4
-0.457308
0.471323
0.267822
0.267296
0.225473
0.64123
0.308333
-0.457308
0.471323
0.635108
0.071447
0.147214
0.222088
0.000003
0.000031
-0.474549
7,647
train
H1
H06
500
500
10
9.6
8.8
3.884574
-3.926897
-2.560888
-2.569961
15.91144
17.343815
19.121622
3.884574
3.926897
0.00007
6.604701
11.240346
15.498899
0.269514
0.293764
3.952497
7,647
train
H0
H06
1,000
1,000
10
8.4
10.4
1.469726
-1.435286
-1.95632
-1.958411
4.26504
4.318451
4.209951
-1.958411
1.95632
0.121849
3.835374
2.747576
2.06016
3.929781
3.958049
1.443327
7,647
train
H1
H06
1,000
1,000
10
10.3
7.5
4.538469
-4.612639
-2.485393
-2.489898
27.038156
26.942338
32.008446
4.538469
4.612639
0
6.199592
14.215392
21.358684
0.089444
0.085832
4.64436
7,647
train
H0
H06
20
20
20
25
15
0.226848
-0.352022
0.339545
0.338738
2.418943
2.545973
2.320045
0.226848
0.352022
0.313479
0.114743
0.009037
0.123762
1.228916
1.052595
0.332406
7,647
train
H1
H06
20
20
20
15
25
2.4203
-2.401371
-2.149057
-2.245172
6.070778
6.588286
6.162707
2.4203
2.401371
0.014429
5.040797
5.599254
5.93853
1.850314
1.892956
2.446395
7,647
train
H0
H06
30
30
20
26.666667
30
1.950942
-1.904457
-1.911456
-1.997502
3.999188
10.62099
4.041993
-1.997502
1.911456
0.013962
3.990016
3.706845
3.685844
2.362693
2.204748
2.000031
7,647
train
H1
H06
30
30
20
16.666667
23.333333
1.906343
-1.89105
-1.942717
-2.006052
4.033185
4.195547
4.029471
-2.006052
1.942717
0.052561
4.024244
3.955798
3.613134
2.53724
2.663936
1.938508
7,647
train
H0
H06
50
50
20
28
16
-0.64901
0.539931
1.332366
1.334338
4.731748
6.166091
4.355785
1.334338
1.332366
0.103803
1.780459
0.684687
0.291245
4.151074
3.840974
-0.567284
7,647
train
H1
H06
50
50
20
22
34
1.959353
-2.094671
-1.226404
-1.218112
6.337676
6.469924
6.585049
1.959353
2.094671
0.032333
1.483797
3.20996
4.421401
0.009113
0.00045
2.140267
7,647
train
H0
H06
75
75
20
22.666667
28
0.178852
-0.187095
-0.334091
-0.332477
0.22273
0.252232
0.229489
-0.332477
0.334091
0.848662
0.110541
0.062825
0.034956
0.166641
0.179763
0.190826
7,647
train
H1
H06
75
75
20
20
26.666667
1.555957
-1.635087
-0.999141
-0.996172
3.769723
4.211178
3.845227
1.555957
1.635087
0.098869
0.992358
1.976425
2.675785
0.000359
0.00003
1.65036
7,647
train
H0
H06
100
100
20
19
23
-0.133799
0.173319
-0.173909
-0.173085
0.540177
0.56257
0.585837
-0.133799
0.173909
0.746083
0.029959
0.000727
0.030005
0.238547
0.222462
-0.174144
7,647
train
H1
H06
100
100
20
20
17
2.586505
-2.70238
-1.732548
-1.743327
8.058884
9.177722
8.901632
2.586505
2.70238
0.005723
3.039188
5.603965
7.389214
0.099173
0.1151
2.763272
7,647
train
H0
H06
150
150
20
22.666667
17.333333
-1.385319
1.41324
1.181096
1.180414
1.759632
3.74194
1.973906
-1.385319
1.41324
0.151734
1.393378
1.710303
1.997248
0.406437
0.362238
-1.433433
7,647
train
H1
H06
150
150
20
20.666667
14
0.579023
-0.640912
0.193961
0.193668
3.359071
3.245409
3.24693
0.579023
0.640912
0.197214
0.037507
0.117164
0.410924
1.243467
1.152003
0.64969
7,647
train
H0
H06
200
200
20
19
23
1.281549
-1.282032
-1.150891
-1.148214
1.718281
2.017459
1.645829
-1.148214
1.282032
0.193135
1.318396
1.651198
1.642997
0.435982
0.50529
1.30136
7,647
train
H1
H06
200
200
20
19
15
1.688939
-1.802
-0.658879
-0.658073
5.623659
7.034654
7.072103
1.688939
1.802
0.029128
0.43306
1.685968
3.257321
0.53883
0.52422
1.830313
7,647
train
H0
H06
300
300
20
18
19
0.152324
-0.142755
-0.196716
-0.196555
0.048097
1.978644
0.043339
-0.196555
0.196716
0.576851
0.038634
0.051481
0.020368
0.029259
0.04276
0.14445
7,647
train
H1
H06
300
300
20
18.333333
21
4.155104
-4.227344
-3.374689
-3.423396
16.466226
25.307623
18.460219
4.155104
4.227344
0.000013
11.719643
14.906242
17.989702
2.833278
2.801574
4.303435
7,647
train
H0
H06
500
500
20
22.6
19
-1.448137
1.42847
1.408936
1.407917
2.136091
2.125691
2.137648
1.407917
1.42847
0.147448
1.982231
2.116691
2.040691
1.025187
1.011372
-1.448604
7,647
train
H1
H06
500
500
20
23.4
17.8
2.02907
-2.201599
-0.569785
-0.570125
13.198525
13.08482
14.187075
2.02907
2.201599
0.00083
0.325043
2.523157
4.85533
1.910112
1.869617
2.239911
7,647
train
H0
H06
1,000
1,000
20
22.1
20.3
-0.030248
0.036679
0.050649
0.050645
0.052339
1.966109
0.004257
0.050645
0.050649
0.579471
0.002565
0.000824
0.001345
0.006249
0.004162
-0.03728
7,647
train
H1
H06
1,000
1,000
20
20.5
19.3
6.850934
-7.102122
-4.397848
-4.429197
63.323324
65.095003
67.144464
6.850934
7.102122
0
19.617788
38.507967
50.869197
0.281975
0.292319
7.228295
7,647
train
H0
H06
20
20
30
20
45
2.12517
-1.995353
-2.385978
-2.480025
6.475772
6.479945
6.468588
-2.480025
2.385978
0.032529
6.150526
5.098043
4.095704
5.101861
5.084051
2.137848
7,647
train
H1
H06
20
20
30
55
30
-1.095995
0.941053
1.467181
1.456484
3.339092
3.307246
3.369799
1.456484
1.467181
0.185463
2.121345
1.357256
0.884521
4.280692
4.261496
-1.025536
7,647
train
H0
H06
30
30
30
36.666667
33.333333
-0.608291
0.49057
0.701859
0.702709
0.615935
5.1433
0.552849
0.702709
0.701859
0.1616
0.493801
0.271849
0.240266
0.611385
0.510973
-0.480501
7,647
train
H1
H06
30
30
30
23.333333
43.333333
1.904649
-1.831989
-2.082221
-2.097989
4.56271
7.909617
4.478249
-2.097989
2.082221
0.047917
4.401558
3.675864
3.366255
3.376045
3.13033
1.916977
7,647
train
H0
H06
50
50
30
42
34
-0.945515
0.769687
1.334388
1.334902
2.900444
2.871522
2.900533
1.334902
1.334388
0.234508
1.781963
1.01262
0.593903
3.231469
3.055667
-0.82997
7,647
train
H1
H06
50
50
30
44
36
-0.184339
0.087601
0.286711
0.288143
0.251694
2.503775
0.19246
0.288143
0.286711
0.474609
0.083026
0.017805
0.00766
0.258401
0.229508
-0.090821
7,647
train
H0
H06
75
75
30
32
30.666667
-0.344002
0.436609
0.021585
0.021721
1.284153
3.564455
1.069195
-0.344002
0.436609
0.312498
0.000472
0.109976
0.190543
0.30427
0.226567
-0.439269
7,647
train
H1
H06
75
75
30
32
26.666667
0.868831
-0.930135
-0.267113
-0.266439
2.899522
8.241478
3.607716
0.868831
0.930135
0.041276
0.07099
0.350742
0.868222
0.558542
0.59502
0.932949
7,647
train
H0
H06
100
100
30
31
27
0.512048
-0.540547
-0.399128
-0.398554
0.284858
0.623659
0.318845
-0.398554
0.540547
0.581139
0.158845
0.225137
0.292051
0.004042
0.003033
0.551721
7,647
train
H1
H06
100
100
30
32
28
0.671334
-0.606795
-0.934937
-0.949518
1.459734
1.516747
1.456601
-0.949518
0.934937
0.482729
0.901584
0.58718
0.368664
1.299306
1.315825
0.594536
7,647
train
H0
H06
150
150
30
34.666667
36
-0.919981
1.071043
0.429323
0.428449
2.807558
3.089321
2.634643
-0.919981
1.071043
0.267852
0.183568
0.781565
1.146563
0.241794
0.223756
-1.100672
7,647
train
H1
H06
150
150
30
30.666667
32.666667
1.340291
-1.308119
-1.283445
-1.28468
1.660015
10.227847
1.80673
-1.28468
1.308119
0.016725
1.650402
1.407845
1.714012
0.747084
0.626514
1.34417
7,647
train
H0
H06
200
200
30
31.5
29.5
0.817461
-0.938678
-0.297345
-0.296916
2.480805
2.710024
2.52877
-0.296916
0.938678
0.282413
0.088159
0.503698
0.881429
0.340694
0.362427
0.959355
7,647
train
H1
H06
200
200
30
35
27
1.524801
-1.839298
-0.489103
-0.489265
6.976459
9.785781
8.63717
1.524801
1.839298
0.013319
0.23938
1.497032
3.407155
1.188709
1.122065
1.901086
7,647
train
H0
H06
300
300
30
25.333333
32.666667
1.872376
-1.930383
-1.503519
-1.502665
3.755172
4.230619
3.981711
1.872376
1.930383
0.048725
2.258003
3.118609
3.730637
0.345841
0.364572
1.970989
7,647
train
H1
H06
300
300
30
30.333333
33
2.884122
-2.872207
-2.691773
-2.711852
8.067546
9.674443
8.366287
2.884122
2.872207
0.003206
7.354139
7.917007
8.281295
3.074808
2.98525
2.947269
7,647
train
H0
H06
500
500
30
27.4
29.6
-0.339869
0.443428
-0.148899
-0.148781
1.538153
1.511147
1.752062
-0.148781
0.443428
0.416432
0.022136
0.03175
0.196603
0.666376
0.621289
-0.450927
7,647
train
H1
H06
500
500
30
31.2
26.8
3.578077
-3.733603
-2.570799
-2.602302
15.815881
17.314657
17.521051
3.578077
3.733603
0.000128
6.771975
10.596533
14.025361
0.323959
0.370492
3.831078
7,647
train
H0
H06
1,000
1,000
30
32.6
28.8
-0.295308
0.060279
0.932141
0.932116
3.099193
6.468418
3.562913
0.932116
0.932141
0.090916
0.868841
0.192309
0.003634
2.71429
2.824978
-0.062228
7,647
train
H1
H06
1,000
1,000
30
31
29.7
4.017097
-4.20336
-2.953781
-2.967881
19.341701
20.165577
20.881724
4.017097
4.20336
0.000016
8.808317
13.906951
17.720428
0.541143
0.563603
4.316925
7,647
train
H0
H06
20
20
40
40
50
1.19543
-1.294568
-0.846542
-0.839999
2.98527
4.641376
3.135487
1.19543
1.294568
0.186121
0.705599
1.222993
1.6808
0.024447
0.022092
1.322141
7,647
train
H1
H06
20
20
40
45
60
0.936331
-0.753912
-1.184355
-1.200527
2.868846
3.809082
2.799376
-1.200527
1.184355
0.246674
1.441265
0.86448
0.566579
2.344271
2.200808
0.726123
7,647
train
H0
H06
30
30
40
50
40
-0.382917
0.203456
0.680197
0.678087
1.720019
1.740176
1.711218
0.678087
0.680197
0.425024
0.459802
0.168638
0.041222
1.656361
1.643899
-0.206573
7,647
train
H1
H06
30
30
40
23.333333
23.333333
2.083975
-2.040727
-2.031917
-2.165114
4.73109
4.787875
4.738325
-2.165114
2.040727
0.0395
4.68772
4.555281
4.242934
2.719818
2.735352
2.058944
7,647
train
H0
H06
50
50
40
40
48
0.442908
-0.498876
-0.389255
-0.389191
0.210815
0.383425
0.220384
-0.389191
0.498876
0.603673
0.15147
0.204994
0.248326
0.008876
0.006061
0.519126
7,647
train
H1
H06
50
50
40
38
36
1.474644
-1.502295
-1.382638
-1.403624
2.170517
2.607673
2.206857
-1.403624
1.502295
0.118181
1.970159
2.166848
2.280707
0.699304
0.678472
1.562456
7,647
train
H0
H06
75
75
40
42.666667
45.333333
0.304236
-0.364672
-0.211298
-0.21089
0.218
0.691793
0.189986
-0.21089
0.364672
0.708464
0.044475
0.117217
0.132743
0.008467
0.002392
0.373919
7,647
train
H1
H06
75
75
40
42.666667
30.666667
-0.730638
0.509959
1.29989
1.302329
4.094467
4.442554
4.225437
1.302329
1.29989
0.120909
1.696062
0.681405
0.25987
4.063732
4.08719
-0.532572
7,647
train
H0
H06
100
100
40
39
37
-0.834957
1.009057
0.362337
0.361329
2.680942
2.766923
2.58236
0.361329
1.009057
0.274946
0.130558
0.661456
1.017412
0.293098
0.23819
-1.035081
7,647
train
H1
H06
100
100
40
42
32
1.411626
-1.49693
-1.0971
-1.120649
2.297549
3.852021
2.531585
-1.120649
1.49693
0.114586
1.255854
1.716688
2.260218
0.08278
0.075278
1.577913
7,647
train
H0
H06
150
150
40
32
40.666667
1.283375
-1.223243
-1.378806
-1.375811
1.920829
3.198021
1.898451
-1.375811
1.378806
0.208801
1.892857
1.586474
1.495989
1.329529
1.324201
1.256869
7,647
train
H1
H06
150
150
40
41.333333
40
0.279624
-0.376238
-0.062913
-0.063278
0.404777
5.416788
0.583853
-0.063278
0.376238
0.143701
0.004004
0.030262
0.14153
0.158641
0.19434
0.396342
7,647
train
H0
H06
200
200
40
35.5
33.5
0.231864
-0.155306
-0.383401
-0.384817
0.252124
1.550006
0.315639
-0.384817
0.383401
0.670778
0.148084
0.085105
0.024125
0.238936
0.259355
0.161682
7,647
train
H1
H06
200
200
40
41.5
38.5
1.223791
-1.363048
-0.852466
-0.854867
2.026801
5.262268
2.503327
1.223791
1.363048
0.15357
0.730797
1.229922
1.859962
0.002422
0.008538
1.409068
7,647
train
H0
H06
300
300
40
39
36
0.180259
-0.302501
0.038926
0.038844
0.194848
4.480792
0.445825
0.180259
0.302501
0.21401
0.001509
0.00574
0.091483
0.178318
0.222249
0.310908
7,647
train
H1
H06
300
300
40
39
40
3.420617
-3.469722
-2.963852
-3.022487
12.464609
12.414348
12.617279
-3.022487
3.469722
0.00033
9.135429
11.17537
12.107611
2.528957
2.590576
3.590317
7,647
train
H0
H06
500
500
40
38.4
39.2
0.824471
-0.769566
-0.888554
-0.888678
0.794244
0.796514
0.794
-0.888678
0.888554
0.427798
0.789749
0.683913
0.592256
0.554686
0.562209
0.792965
7,647
train
H1
H06
500
500
40
39.6
39.6
4.438803
-4.657541
-3.548411
-3.596142
23.343
23.811012
24.14253
4.438803
4.657541
0.000001
12.932237
18.478299
21.886541
1.744521
1.80426
4.820643
7,647
train
H0
H06
1,000
1,000
40
40
39.6
0.357466
-0.241873
-0.450862
-0.450666
0.203512
4.639033
0.254326
-0.450666
0.450862
0.200219
0.2031
0.178751
0.058497
0.238305
0.250709
0.248888
7,647
train
H1
H06
1,000
1,000
40
37.9
39
6.222911
-6.557816
-4.859872
-4.910417
48.012984
50.699033
50.016682
6.222911
6.557816
0
24.112195
35.789932
43.347155
2.627864
2.669322
6.780568
7,647
train
H0
H06
20
20
50
75
20
-0.722552
0.452391
1.096696
1.148298
4.379329
5.728819
4.525077
-0.722552
1.096696
0.104086
1.318589
0.617839
0.208524
4.005982
3.972093
-0.375823
7,647
train
H1
H06
20
20
50
55
40
-0.063479
0.047615
0.264781
0.262327
0.858421
4.161039
0.939929
0.262327
0.264781
0.244592
0.068815
0.03825
0.002257
0.81114
0.958921
-0.063629
7,647
train
H0
H06
30
30
50
30
43.333333
-0.566336
0.785073
-0.226553
-0.226243
7.335832
9.768279
7.731401
-0.226243
0.785073
0.020642
0.051186
0.102047
0.618728
3.011127
3.025684
-0.800765
7,647
train
H1
H06
30
30
50
53.333333
46.666667
1.88742
-2.043837
-1.530154
-1.645586
6.075313
6.351758
6.115511
-1.645586
2.043837
0.029469
2.707953
3.60514
4.289295
0.175006
0.18826
2.177157
7,647
train
H0
H06
50
50
50
42
42
-0.187787
0.163498
0.211533
0.210145
0.053424
0.71502
0.046976
0.210145
0.211533
0.865748
0.044161
0.024992
0.026655
0.109118
0.090599
-0.169062
7,647
train
H1
H06
50
50
50
50
48
0.910865
-0.920633
-0.839992
-0.857029
0.808181
4.694844
0.862403
-0.857029
0.920633
0.195555
0.734499
0.738537
0.849842
0.161722
0.146883
0.966356
7,647
train
H0
H06
75
75
50
50.666667
45.333333
-0.108098
0.150338
0.104786
0.104546
0.012813
2.068156
0.011795
0.104546
0.150338
0.558382
0.01093
0.005018
0.022594
0.018191
0.007768
-0.154606
7,647
train
H1
H06
75
75
50
56
50.666667
0.792556
-1.165638
-0.319518
-0.319552
3.332863
6.669257
3.668846
-0.319552
1.165638
0.083221
0.102113
0.640317
1.363975
0.712498
0.715012
1.219944
7,647
train
H0
H06
100
100
50
46
46
0.431113
-0.613566
-0.113298
-0.113386
1.757477
1.778735
1.73248
-0.113386
0.613566
0.42053
0.012856
0.190808
0.376036
0.428813
0.403222
0.628571
7,647
train
H1
H06
100
100
50
47
41
1.414712
-1.790559
-0.679813
-0.681429
6.988256
9.706601
7.639925
1.414712
1.790559
0.021232
0.464345
1.886195
3.225241
0.6888
0.702927
1.857381
7,647
train
H0
H06
150
150
50
50.666667
52
-0.389767
0.287557
0.504987
0.507615
0.520072
1.866026
0.475743
0.507615
0.504987
0.600673
0.257673
0.107062
0.082662
0.541579
0.505232
-0.299283
7,647
train
H1
H06
150
150
50
54
44
0.064788
-0.429067
0.511899
0.511921
4.164443
6.762623
4.627578
0.064788
0.511899
0.079861
0.262063
0.00011
0.184588
2.571172
2.609008
0.439455
7,647
train
H0
H06
200
200
50
47.5
49.5
0.526967
-0.387591
-0.63843
-0.637083
0.560124
0.667047
0.545574
-0.637083
0.63843
0.688598
0.405874
0.215056
0.15018
0.466973
0.524412
0.400758
7,647
train
H1
H06
200
200
50
51.5
47.5
1.692238
-2.005995
-1.021402
-1.030274
8.197342
8.386096
7.957065
-1.030274
2.005995
0.018713
1.061465
2.913953
4.044791
0.278252
0.204814
2.098953
7,647
train
H0
H06
300
300
50
49.333333
50
0.939206
-1.131188
-0.596717
-0.595857
2.022381
2.91881
2.204812
-0.595857
1.131188
0.241133
0.355046
0.83597
1.27937
0.091585
0.098762
1.17216
7,647
train
H1
H06
300
300
50
54.666667
53
2.834401
-3.24202
-2.1562
-2.196034
14.523648
15.911029
14.836775
-2.196034
3.24202
0.0006
4.822564
8.091473
10.589849
0.046231
0.050527
3.429603
7,647
train
H0
H06
500
500
50
49.8
52.8
0.344367
-0.285202
-0.414234
-0.414121
0.232424
0.258809
0.22613
-0.414121
0.414234
0.766855
0.171496
0.103295
0.081332
0.192662
0.20082
0.296491
7,647
train
H1
H06
500
500
50
49.2
49.8
4.406115
-4.929517
-3.393962
-3.439545
27.958015
38.057993
30.364198
4.406115
4.929517
0
11.830471
18.582455
24.532027
0.481658
0.433742
5.179084
7,647
train
H0
H06
1,000
1,000
50
49.3
49.5
0.420257
-0.55229
-0.227077
-0.227018
0.662907
0.820751
0.691812
-0.227018
0.55229
0.567169
0.051537
0.179671
0.30498
0.073259
0.076342
0.572225
7,647
train
H1
H06
1,000
1,000
50
50.9
50.5
6.480726
-7.09806
-5.15652
-5.267562
60.995405
67.72629
62.583004
6.480726
7.09806
0
27.747205
41.498015
50.980758
2.195685
2.214651
7.451981