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
H06
20
20
50
70
65
0.192278
-0.345427
-0.078166
-0.078275
0.751955
2.584099
0.727575
0.192278
0.345427
0.460284
0.006127
0.059128
0.119469
0.308403
0.286981
0.359387
7,645
train
H1
H06
20
20
50
50
45
-0.00585
0.219934
-0.364513
-0.37414
3.273378
15.951853
2.869937
-0.37414
0.364513
0.00116
0.139981
0.001972
0.048203
2.406795
2.019511
-0.125223
7,645
train
H0
H06
30
30
50
50
40
-0.895656
0.977339
0.58709
0.579527
1.846032
2.899795
1.969935
-0.895656
0.977339
0.3116
0.335851
0.641801
0.951282
0.008609
0.014962
-1.01187
7,645
train
H1
H06
30
30
50
53.333333
66.666667
0.9289
-0.684472
-1.093416
-1.091795
1.763023
2.460191
1.802161
-1.091795
1.093416
0.406131
1.192015
0.771471
0.466835
1.241022
1.32287
0.74593
7,645
train
H0
H06
50
50
50
50
40
-0.854353
0.902534
0.778628
0.772341
0.686906
3.149936
0.746314
0.772341
0.902534
0.342779
0.596511
0.679667
0.81207
0.236523
0.190564
-0.948689
7,645
train
H1
H06
50
50
50
46
66
2.681915
-2.801814
-2.390911
-2.40097
8.137859
8.25211
8.21137
-2.40097
2.801814
0.003141
5.764656
7.195267
7.865705
1.212466
1.449361
2.953639
7,645
train
H0
H06
75
75
50
50.666667
54.666667
0.198569
-0.10969
-0.239596
-0.238574
0.075847
0.220937
0.080471
-0.238574
0.239596
0.910341
0.056918
0.033147
0.012019
0.037036
0.056737
0.112608
7,645
train
H1
H06
75
75
50
48
45.333333
2.265859
-2.413127
-1.780666
-1.851843
7.149864
7.086482
7.098895
2.265859
2.413127
0.012354
3.429324
5.119083
5.895521
0.297775
0.347578
2.501864
7,645
train
H0
H06
100
100
50
45
60
2.392632
-2.390644
-2.276637
-2.277294
5.786382
5.898509
5.808066
2.392632
2.390644
0.012795
5.186068
5.666177
5.735682
2.11462
2.247309
2.489437
7,645
train
H1
H06
100
100
50
51
52
2.703102
-2.726318
-2.430003
-2.533759
7.810672
7.977842
7.863556
-2.533759
2.726318
0.004191
6.419937
7.311901
7.545023
2.013892
2.064166
2.863451
7,645
train
H0
H06
150
150
50
56
45.333333
-1.386533
1.161461
1.72001
1.721096
4.208437
4.825391
4.10616
1.721096
1.72001
0.128339
2.96217
1.886899
1.34953
4.34734
4.231359
-1.212267
7,645
train
H1
H06
150
150
50
46.666667
44.666667
2.289433
-2.42896
-1.905391
-1.948883
6.056444
9.891014
6.446382
-1.948883
2.42896
0.010538
3.798144
4.804948
5.949252
0.557172
0.550897
2.557647
7,645
train
H0
H06
200
200
50
52
47
-0.543774
0.34958
0.737074
0.735675
0.903345
3.016328
1.005646
-0.543774
0.737074
0.389115
0.541218
0.297383
0.122131
1.103643
1.164282
-0.362706
7,645
train
H1
H06
200
200
50
45.5
48.5
3.339539
-3.485682
-2.888035
-2.956614
12.410604
13.873123
12.678963
-2.956614
3.485682
0.000262
8.741568
10.941135
12.263224
2.096635
2.121432
3.649888
7,645
train
H0
H06
300
300
50
52.666667
56.666667
0.674461
-0.646976
-0.680258
-0.679998
0.46958
1.453918
0.464598
-0.679998
0.680258
0.501309
0.462398
0.50812
0.418506
0.258618
0.293598
0.672431
7,645
train
H1
H06
300
300
50
49
48
2.806238
-3.033786
-2.198694
-2.229976
11.163258
11.653721
11.394115
2.806238
3.033786
0.001516
4.972795
7.609331
9.255595
0.270088
0.279944
3.171582
7,645
train
H0
H06
500
500
50
46.8
49.8
2.256921
-2.357752
-1.974642
-1.977701
5.850103
6.008822
5.774218
2.256921
2.357752
0.014939
3.911302
5.253831
5.56789
0.861756
0.892267
2.433853
7,645
train
H1
H06
500
500
50
51
47.8
3.017838
-3.359564
-2.333638
-2.381307
13.049245
39.550913
14.564188
-2.381307
3.359564
0
5.670624
8.198227
11.347028
0.217937
0.199643
3.502506
7,645
train
H0
H06
1,000
1,000
50
51.2
50.9
-0.149875
-0.01304
0.416499
0.416908
1.250477
1.328655
1.220608
0.416908
0.416499
0.543186
0.173812
0.024352
0.00017
0.876213
0.844778
0.014111
7,645
train
H1
H06
1,000
1,000
50
50.1
45.5
3.454546
-3.784547
-2.654756
-2.690643
17.446011
20.183502
18.234049
3.454546
3.784547
0.000075
7.239557
11.281716
14.402576
0.241171
0.246834
3.960002
7,645
train
H0
H07
20
20
0
0
0
0.216401
-0.216401
0.029756
0.029111
0.047235
3.208799
0.265599
0.216401
0.216401
0.360539
0.000847
0.000562
0.046715
0.114654
0.228759
0.219158
7,645
train
H1
H07
20
20
0
0
0
1.027903
-1.027903
-0.611213
-0.603027
1.774425
2.332069
1.484878
-0.603027
1.027903
0.297876
0.363641
0.859662
1.055941
0.002085
0.005945
1.040998
7,645
train
H0
H07
30
30
0
0
0
-0.251335
0.251335
0.038922
0.038124
0.265373
0.448221
0.206323
-0.251335
0.251335
0.799916
0.001453
0.03715
0.062748
0.013551
0.00222
-0.253456
7,645
train
H1
H07
30
30
0
0
0
-0.694868
0.694868
1.418019
1.449185
4.044218
3.95381
4.101751
1.449185
1.418019
0.128622
2.100137
1.072845
0.48213
4.291629
4.224876
-0.700732
7,645
train
H0
H07
50
50
0
0
0
-0.075832
0.075832
-1.107898
-1.131332
7.385653
7.102439
7.349941
-1.131332
1.107898
0.02535
1.279913
0.184957
0.005747
4.830963
4.66412
-0.076214
7,645
train
H1
H07
50
50
0
0
0
1.309826
-1.309826
-0.718627
-0.71129
2.152653
1.923901
2.518506
1.309826
1.309826
0.188032
0.505933
1.138909
1.719416
0.01146
0.003177
1.316424
7,645
train
H0
H07
75
75
0
0
0
0.997942
-0.997942
-1.239295
-1.243129
1.700601
3.03658
1.586347
0.997942
1.239295
0.319937
1.545371
1.142893
0.995133
1.276665
1.177296
0.994588
7,645
train
H1
H07
75
75
0
0
0
2.260875
-2.260875
-2.205397
-2.244632
5.166397
9.271565
5.404286
-2.244632
2.260875
0.024242
5.038372
5.096889
5.146382
2.633135
2.513933
2.253275
7,645
train
H0
H07
100
100
0
0
0
-0.261443
0.261443
-0.887639
-0.897127
6.212509
6.275971
5.869794
-0.897127
0.887639
0.053136
0.804837
0.027982
0.068278
3.629493
3.491822
-0.262099
7,645
train
H1
H07
100
100
0
0
0
1.302326
-1.302326
-1.758335
-1.77797
3.693453
5.404336
3.481429
-1.77797
1.758335
0.144474
3.161179
2.225227
1.697092
3.127778
2.997269
1.305594
7,645
train
H0
H07
150
150
0
0
0
0.066556
-0.066556
0.041699
0.04145
0.011454
0.657305
0.044606
0.04145
0.066556
0.883197
0.001718
0.000029
0.004424
0.030788
0.046971
0.066667
7,645
train
H1
H07
150
150
0
0
0
0.796008
-0.796008
-0.927554
-0.926394
0.86547
2.139053
0.858791
-0.926394
0.927554
0.425255
0.858205
0.769679
0.633133
0.619853
0.720548
0.797338
7,645
train
H0
H07
200
200
0
0
0
1.64426
-1.64426
-1.126988
-1.124112
3.260101
3.277657
3.08301
1.64426
1.64426
0.099698
1.263629
2.325799
2.706617
0.094488
0.122465
1.646319
7,645
train
H1
H07
200
200
0
0
0
0.297541
-0.297541
-0.768472
-0.767906
0.811615
1.150451
1.15395
-0.767906
0.768472
0.561595
0.58968
0.321105
0.088494
1.074209
1.073204
0.297914
7,645
train
H0
H07
300
300
0
0
0
-0.08855
0.08855
0.082067
0.081845
0.026105
0.240162
0.007939
0.081845
0.08855
0.929381
0.006699
0.019321
0.007837
0.005334
0.002462
-0.088624
7,645
train
H1
H07
300
300
0
0
0
1.88452
-1.88452
-1.935066
-1.938185
4.146796
4.396859
3.922117
-1.938185
1.935066
0.059283
3.756561
4.135075
3.555656
2.188213
2.219536
1.886092
7,645
train
H0
H07
500
500
0
0
0
1.249278
-1.249278
-1.242362
-1.242848
1.639769
1.915561
1.662017
1.249278
1.249278
0.211335
1.544671
1.60055
1.56092
0.797773
0.863225
1.249904
7,645
train
H1
H07
500
500
0
0
0
1.965342
-1.965342
-1.613235
-1.612522
3.817345
3.781659
3.901111
1.965342
1.965342
0.049261
2.600228
3.58909
3.866263
0.701978
0.745747
1.966325
7,645
train
H0
H07
1,000
1,000
0
0
0
-0.660643
0.660643
0.256472
0.256184
0.936342
0.962943
0.838103
-0.660643
0.660643
0.508735
0.06563
0.307404
0.436402
0.044299
0.038882
-0.660809
7,645
train
H1
H07
1,000
1,000
0
0
0
3.415892
-3.415892
-3.605833
-3.621564
13.877005
15.66445
13.417567
-3.621564
3.605833
0.000634
13.115727
13.51035
11.685205
8.34067
8.548275
3.416746
7,645
train
H0
H07
20
20
10
15
30
0.737133
-0.802246
-0.31658
-0.31028
1.560403
2.329695
1.34718
0.737133
0.802246
0.420095
0.096274
0.434876
0.638633
0.140208
0.074576
0.806256
7,645
train
H1
H07
20
20
10
10
15
1.635591
-1.623183
-1.618446
-1.651159
2.765474
4.434151
2.824382
1.635591
1.623183
0.095763
2.726325
2.647552
2.668782
1.360728
1.265875
1.665752
7,645
train
H0
H07
30
30
10
16.666667
6.666667
-1.120149
1.018063
1.829001
1.894154
6.76558
7.020072
6.574453
1.894154
1.829001
0.037357
3.587818
1.935315
1.035233
6.855547
6.658878
-1.051247
7,645
train
H1
H07
30
30
10
3.333333
0
1.280402
-1.26937
-1.559162
-1.598589
2.615237
2.677646
2.669515
-1.598589
1.559162
0.19979
2.555488
2.150994
1.621078
2.244709
2.302416
1.282149
7,645
train
H0
H07
50
50
10
10
6
-0.416304
0.383621
1.463259
1.507876
7.544497
7.952164
7.887789
1.507876
1.463259
0.019373
2.27369
0.772273
0.147259
6.335224
6.272016
-0.38025
7,645
train
H1
H07
50
50
10
10
8
1.93636
-1.941411
-1.624974
-1.649808
3.927409
4.202716
3.838759
1.93636
1.941411
0.049666
2.721866
3.558871
3.798479
0.772892
0.994954
1.962831
7,645
train
H0
H07
75
75
10
5.333333
10.666667
1.675186
-1.698148
-0.99102
-0.988567
4.274324
4.36026
4.04619
1.675186
1.698148
0.088679
0.977264
2.246562
2.8915
0.000218
0.004193
1.70241
7,645
train
H1
H07
75
75
10
9.333333
5.333333
1.605903
-1.625191
-1.383385
-1.401443
3.106643
4.255998
2.605383
-1.401443
1.625191
0.105258
1.964041
2.868552
2.659043
0.742687
0.847157
1.619882
7,645
train
H0
H07
100
100
10
9
5
-0.498157
0.472146
1.154061
1.154634
2.87054
2.976996
2.716474
1.154634
1.154061
0.257114
1.333179
0.533556
0.222542
2.721038
2.616526
-0.480407
7,645
train
H1
H07
100
100
10
9
10
2.210877
-2.220979
-1.983177
-1.999052
4.83612
5.284244
4.914727
2.210877
2.220979
0.025662
3.99621
4.826283
4.957101
1.565118
1.564097
2.23129
7,645
train
H0
H07
150
150
10
9.333333
12.666667
-0.19081
0.227241
-0.199139
-0.198462
0.549948
2.369104
0.743907
-0.198462
0.227241
0.499412
0.039387
0.001717
0.051591
0.331331
0.395083
-0.22772
7,645
train
H1
H07
150
150
10
11.333333
10
0.772944
-0.735109
-1.173854
-1.185017
1.843739
2.975387
1.854633
0.772944
1.173854
0.395436
1.404265
0.817014
0.540136
1.786351
1.963243
0.745531
7,645
train
H0
H07
200
200
10
10.5
8.5
-2.356833
2.362844
1.912791
1.916016
5.956722
6.197004
5.744532
-2.356833
2.362844
0.017278
3.671117
5.193747
5.599882
0.751735
0.879502
-2.380746
7,645
train
H1
H07
200
200
10
10.5
7
0.652865
-0.634068
-0.739039
-0.740945
0.695885
5.659864
0.549482
-0.740945
0.739039
0.129384
0.548999
0.668932
0.402115
0.396299
0.509291
0.636912
7,645
train
H0
H07
300
300
10
13.666667
11.333333
-1.068641
1.050618
1.340699
1.344146
2.230279
7.619376
1.915322
-1.068641
1.340699
0.054569
1.806729
1.203662
1.103807
1.827091
1.709857
-1.061286
7,645
train
H1
H07
300
300
10
9.666667
10.333333
0.393222
-0.317911
-1.512685
-1.521239
5.362116
10.718115
7.021935
-1.521239
1.512685
0.013352
2.314169
0.810705
0.101107
5.892867
6.202666
0.319394
7,645
train
H0
H07
500
500
10
8.8
10.2
0.458453
-0.43434
-0.627989
-0.626882
0.393583
1.750297
0.441718
-0.626882
0.627989
0.62581
0.392981
0.329625
0.188614
0.40723
0.454837
0.436958
7,645
train
H1
H07
500
500
10
10
8.6
2.54202
-2.547535
-2.046704
-2.051788
7.529023
8.550499
6.697481
2.54202
2.547535
0.010321
4.209832
6.346183
6.503131
1.004206
1.092825
2.564878
7,645
train
H0
H07
1,000
1,000
10
9.1
10.8
-2.193707
2.190103
1.871733
1.874944
4.875554
5.033124
4.851124
-2.193707
2.190103
0.027635
3.515413
4.494162
4.800146
1.02194
1.096207
-2.202423
7,645
train
H1
H07
1,000
1,000
10
10.4
9
1.206022
-1.178555
-1.665585
-1.671342
3.687738
6.939263
3.211917
1.206022
1.665585
0.073859
2.793385
1.716209
1.389103
3.059722
2.984454
1.184717
7,645
train
H0
H07
20
20
20
10
20
-1.707119
1.716792
1.492976
1.569615
2.840032
6.117918
3.028295
-1.707119
1.716792
0.071062
2.463691
2.755891
3.038841
0.94479
0.877933
-1.805078
7,645
train
H1
H07
20
20
20
15
15
0.089989
-0.0141
-0.569871
-0.562052
1.638375
1.909219
1.505729
-0.562052
0.569871
0.471015
0.315902
0.042917
0.000197
0.906136
0.741048
0.025814
7,645
train
H0
H07
30
30
20
26.666667
20
-0.279464
0.343936
0.078945
0.078056
0.288856
0.512461
0.305669
0.078056
0.343936
0.727705
0.006093
0.058962
0.117661
0.016318
0.021708
-0.34818
7,645
train
H1
H07
30
30
20
6.666667
23.333333
2.334693
-2.340669
-2.219574
-2.249495
5.268909
12.988994
5.578417
2.334693
2.340669
0.00466
5.060226
5.16608
5.557186
2.397299
2.188984
2.396888
7,645
train
H0
H07
50
50
20
24
24
-1.434909
1.496305
1.135786
1.13008
2.045393
3.169292
2.329257
-1.434909
1.496305
0.12799
1.277081
1.782657
2.245906
0.180531
0.154125
-1.522077
7,645
train
H1
H07
50
50
20
18
26
0.801272
-0.721836
-1.246763
-1.24894
2.798571
4.218335
2.537435
-1.24894
1.246763
0.238833
1.55985
0.796532
0.520141
2.234999
2.028348
0.749058
7,645
train
H0
H07
75
75
20
24
17.333333
-1.175717
1.191301
0.932499
0.928882
1.552726
1.502462
1.551724
-1.175717
1.191301
0.230903
0.862821
1.248136
1.418234
0.163695
0.183215
-1.198036
7,645
train
H1
H07
75
75
20
18.666667
22.666667
0.811419
-0.779301
-1.092643
-1.091314
1.536076
2.494069
1.424803
-1.091314
1.092643
0.424328
1.190966
0.774809
0.606484
1.259921
1.124226
0.798936
7,645
train
H0
H07
100
100
20
22
18
-1.35337
1.415385
0.869518
0.865202
2.822756
2.842892
2.74314
-1.35337
1.415385
0.152457
0.748574
1.569124
2.003296
0.000097
0.005486
-1.430905
7,645
train
H1
H07
100
100
20
20
18
1.200885
-1.237316
-0.873149
-0.873629
1.573353
2.803194
1.765994
1.200885
1.237316
0.210746
0.763227
1.202563
1.535134
0.038814
0.031018
1.251516
7,645
train
H0
H07
150
150
20
20
18
-1.200988
1.198775
1.17203
1.169626
1.435608
1.71211
1.47333
-1.200988
1.198775
0.224472
1.368024
1.442422
1.436775
0.754611
0.727723
-1.214723
7,645
train
H1
H07
150
150
20
19.333333
24
-0.021155
0.088563
-0.15834
-0.157888
0.092961
1.791849
0.19586
-0.157888
0.15834
0.61671
0.024928
0.002231
0.007839
0.099879
0.131695
-0.089421
7,645
train
H0
H07
200
200
20
21
15
-0.61001
0.565108
0.98279
0.981312
1.258486
3.507783
1.485254
0.981312
0.98279
0.319754
0.962972
0.656297
0.31909
1.559675
1.603884
-0.571781
7,645
train
H1
H07
200
200
20
15
20
0.233305
-0.249229
-0.039107
-0.039141
0.381209
1.718585
0.236664
0.233305
0.249229
0.63281
0.001532
0.049086
0.062053
0.065833
0.047307
0.2524
7,645
train
H0
H07
300
300
20
20.666667
22.666667
-0.008621
0.055736
-0.388469
-0.387576
1.403873
3.0253
1.007586
-0.008621
0.388469
0.387741
0.150215
0.001002
0.003105
0.630644
0.546607
-0.055543
7,645
train
H1
H07
300
300
20
23.333333
19.333333
-0.192907
0.138417
0.567879
0.567317
0.701508
3.831964
1.048582
0.567317
0.567879
0.28019
0.321849
0.159251
0.019153
0.911059
0.990906
-0.140848
7,645
train
H0
H07
500
500
20
22.2
18.4
-0.603479
0.641769
0.247376
0.247284
0.922246
0.87389
0.928465
0.247284
0.641769
0.515679
0.06115
0.257605
0.411755
0.064522
0.060892
-0.650021
7,645
train
H1
H07
500
500
20
23.4
23.6
1.156191
-1.242457
-0.648252
-0.647953
2.55662
2.91659
2.535896
1.156191
1.242457
0.207521
0.419843
1.129453
1.543738
0.040344
0.048908
1.26041
7,645
train
H0
H07
1,000
1,000
20
18.2
21.1
0.612942
-0.602104
-0.53147
-0.531134
0.54715
1.42292
0.380331
-0.531134
0.602104
0.542326
0.282104
0.457028
0.362458
0.079539
0.09143
0.6093
7,645
train
H1
H07
1,000
1,000
20
19.6
19.6
2.292843
-2.169557
-2.769656
-2.788402
8.252546
8.560763
8.221411
-2.788402
2.769656
0.016396
7.775188
5.929345
4.709759
7.388898
7.438395
2.19295
7,645
train
H0
H07
20
20
30
40
40
-0.011667
-0.014863
0.001203
0.001189
0.0113
2.919354
0.001285
0.001189
0.014863
0.404227
0.000001
0.000388
0.000219
0.018995
0.030725
0.005426
7,645
train
H1
H07
20
20
30
10
20
1.306794
-1.359109
-0.752751
-0.749763
3.226762
3.87493
2.966107
1.306794
1.359109
0.168087
0.562144
1.365836
1.841727
0.022575
0.0015
1.378376
7,645
train
H0
H07
30
30
30
13.333333
20
0.824704
-0.896852
-0.352893
-0.349733
1.794502
2.064588
1.661673
0.824704
0.896852
0.35814
0.122313
0.524424
0.801134
0.170385
0.101827
0.918914
7,645
train
H1
H07
30
30
30
30
23.333333
0.0988
-0.12031
-0.0301
-0.030007
0.036914
0.057371
0.042261
-0.030007
0.12031
0.899568
0.0009
0.005375
0.014393
0.045824
0.046795
0.126207
7,645
train
H0
H07
50
50
30
24
28
-0.317653
0.332049
0.290053
0.288548
0.103307
0.115076
0.101189
0.288548
0.332049
0.737454
0.08326
0.111755
0.110047
0.071585
0.072224
-0.335227
7,645
train
H1
H07
50
50
30
22
30
0.66741
-0.69525
-0.505795
-0.504688
0.504767
1.079739
0.560944
0.66741
0.69525
0.475047
0.25471
0.367248
0.481845
0.003668
0.002953
0.714291
7,645
train
H0
H07
75
75
30
33.333333
37.333333
1.609154
-1.801852
-1.007733
-1.005985
6.172161
10.303134
5.583292
-1.005985
1.801852
0.016158
1.012005
2.508821
3.250758
0.02017
0.007341
1.826246
7,645
train
H1
H07
75
75
30
32
21.333333
-1.382881
1.331558
1.494931
1.491571
2.226825
2.3085
2.224787
-1.382881
1.494931
0.176155
2.224784
2.116645
1.771756
1.763309
1.814719
-1.352688
7,645
train
H0
H07
100
100
30
31
31
-1.451431
1.416513
1.393126
1.403089
2.179435
2.483354
2.125999
-1.451431
1.416513
0.149376
1.968659
2.177206
2.013452
1.027802
1.092995
-1.441738
7,645
train
H1
H07
100
100
30
23
27
1.693763
-1.653984
-1.822274
-1.849391
3.426897
3.480784
3.431709
-1.849391
1.822274
0.092531
3.420246
3.166115
2.739808
2.472867
2.465495
1.682194
7,645
train
H0
H07
150
150
30
34
26.666667
-0.373965
0.383243
0.293559
0.293783
0.201069
0.678816
0.167363
-0.373965
0.383243
0.693372
0.086308
0.1525
0.146727
0.021838
0.036694
-0.394284
7,645
train
H1
H07
150
150
30
32.666667
26.666667
1.213232
-1.338927
-0.611928
-0.61412
4.21119
5.724149
3.610086
1.213232
1.338927
0.12583
0.377143
1.399921
1.79709
0.150972
0.108868
1.37163
7,645
train
H0
H07
200
200
30
29
29.5
0.17301
-0.210957
0.024995
0.024937
0.269103
0.339878
0.30547
0.17301
0.210957
0.829886
0.000622
0.011048
0.044465
0.130963
0.126243
0.214848
7,645
train
H1
H07
200
200
30
29.5
29.5
-0.239322
0.303217
-0.068776
-0.068641
0.618523
2.050325
0.793686
-0.068641
0.303217
0.562027
0.004712
0.011458
0.091878
0.245012
0.251208
-0.305903
7,645
train
H0
H07
300
300
30
28.333333
27.666667
-0.858679
0.979749
0.409425
0.408769
1.37283
4.901497
1.84388
0.408769
0.979749
0.179154
0.167092
0.522185
0.96014
0.110516
0.133778
-0.998249
7,645
train
H1
H07
300
300
30
29.666667
31.333333
1.68476
-1.641751
-1.545586
-1.547467
3.109037
4.772906
2.846324
-1.547467
1.641751
0.091812
2.394654
3.024646
2.698106
0.913018
0.982827
1.685914
7,645
train
H0
H07
500
500
30
31.8
32.2
-1.481721
1.508105
1.323683
1.327111
2.034973
3.985338
2.23077
-1.481721
1.508105
0.121962
1.761223
1.938095
2.27525
0.596319
0.582598
-1.546592
7,645
train
H1
H07
500
500
30
27
24
0.048262
-0.02837
-0.141647
-0.141632
0.069709
0.199834
0.068108
0.048262
0.141647
0.966519
0.02006
0.006591
0.000805
0.042976
0.033535
0.029541
7,645
train
H0
H07
1,000
1,000
30
29.2
30.3
0.769118
-0.686646
-0.976358
-0.976701
0.983414
4.572892
1.113626
-0.976701
0.976358
0.20588
0.953944
0.833505
0.471515
1.056258
1.107344
0.701042
7,645
train
H1
H07
1,000
1,000
30
32.3
27.5
0.504493
-0.535129
-0.305237
-0.305696
0.462163
0.430507
0.466481
-0.305696
0.535129
0.585063
0.09345
0.208128
0.286416
0.00765
0.00614
0.546004