210196
2
Joaquin Vanschoren
4562
Supervised Classification
predictive_accuracy
1182
weka.AdaBoostM1_DecisionStump(12)
2030
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump
P
100
1182
S
1
1182
I
160
1182
W
weka.classifiers.trees.DecisionStump
1182
weka
weka_3.7.12
994
vehicle
https://www.openml.org/data/download/53528/vehicle.arff
-1
698141
description
https://api.openml.org/data/download/698141/weka_generated_run6296180001486960868.xml
-1
698144
model_readable
https://api.openml.org/data/download/698144/WekaModel_weka.classifiers.meta.AdaBoostM1820802614670129985.model
-1
698143
model_serialized
https://api.openml.org/data/download/698143/WekaSerialized_weka.classifiers.meta.AdaBoostM18179448490882608779.model
-1
698142
predictions
https://api.openml.org/data/download/698142/weka_generated_predictions6009239693687925323.arff
area_under_roc_curve
0.995251 [0.995251,0.995251]
average_cost
0
f_measure
0.977771 [0.956841,0.985037]
kappa
0.941878
kb_relative_information_score
7817.600923
mean_absolute_error
0.027128
mean_prior_absolute_error
0.382842
number_of_instances
8460 [2180,6280]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.977765 [0.957721,0.984723]
predictive_accuracy
0.977778
prior_entropy
0.824101
recall
0.977778 [0.955963,0.98535]
relative_absolute_error
0.07086
root_mean_prior_squared_error
0.437359
root_mean_squared_error
0.136619
root_relative_squared_error
0.312373
scimark_benchmark
1333.579873 [787.1121737118738, 1005.1929850806725, 544.2178393368769, 1111.2505451599056, 3220.1258241882724]
total_cost
0
usercpu_time_millis
390
usercpu_time_millis_testing
10
usercpu_time_millis_training
380
area_under_roc_curve
0.99062 [0.99062,0.99062]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
0.986652 [0.986652,0.986652]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
0.996392 [0.996392,0.996392]
area_under_roc_curve
0.994949 [0.994949,0.994949]
area_under_roc_curve
0.997114 [0.997114,0.997114]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.998557 [0.998557,0.998557]
area_under_roc_curve
0.988456 [0.988456,0.988456]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.991342 [0.991342,0.991342]
area_under_roc_curve
0.998557 [0.998557,0.998557]
area_under_roc_curve
0.992785 [0.992785,0.992785]
area_under_roc_curve
0.997114 [0.997114,0.997114]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.982684 [0.982684,0.982684]
area_under_roc_curve
0.994949 [0.994949,0.994949]
area_under_roc_curve
0.998557 [0.998557,0.998557]
area_under_roc_curve
0.991342 [0.991342,0.991342]
area_under_roc_curve
0.997114 [0.997114,0.997114]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.995671 [0.995671,0.995671]
area_under_roc_curve
0.997114 [0.997114,0.997114]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
0.998557 [0.998557,0.998557]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
0.989899 [0.989899,0.989899]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
0.992063 [0.992063,0.992063]
area_under_roc_curve
0.984848 [0.984848,0.984848]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.984127 [0.984127,0.984127]
area_under_roc_curve
0.996392 [0.996392,0.996392]
area_under_roc_curve
0.996392 [0.996392,0.996392]
area_under_roc_curve
0.994228 [0.994228,0.994228]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.994949 [0.994949,0.994949]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.991342 [0.991342,0.991342]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
0.983405 [0.983405,0.983405]
area_under_roc_curve
0.999278 [0.999278,0.999278]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.99062 [0.99062,0.99062]
area_under_roc_curve
0.997835 [0.997835,0.997835]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.977273 [0.977273,0.977273]
area_under_roc_curve
0.998557 [0.998557,0.998557]
area_under_roc_curve
0.993953 [0.993953,0.993953]
area_under_roc_curve
0.995465 [0.995465,0.995465]
area_under_roc_curve
0.983871 [0.983871,0.983871]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.998534 [0.998534,0.998534]
area_under_roc_curve
0.995465 [0.995465,0.995465]
area_under_roc_curve
0.999244 [0.999244,0.999244]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.996221 [0.996221,0.996221]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.999244 [0.999244,0.999244]
area_under_roc_curve
0.999267 [0.999267,0.999267]
area_under_roc_curve
0.998488 [0.998488,0.998488]
area_under_roc_curve
0.992669 [0.992669,0.992669]
area_under_roc_curve
0.993197 [0.993197,0.993197]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.99093 [0.99093,0.99093]
area_under_roc_curve
0.981859 [0.981859,0.981859]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.98717 [0.98717,0.98717]
area_under_roc_curve
0.997067 [0.997067,0.997067]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.994868 [0.994868,0.994868]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.996334 [0.996334,0.996334]
area_under_roc_curve
0.998534 [0.998534,0.998534]
area_under_roc_curve
0.997801 [0.997801,0.997801]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.991935 [0.991935,0.991935]
area_under_roc_curve
0.999267 [0.999267,0.999267]
area_under_roc_curve
0.98827 [0.98827,0.98827]
area_under_roc_curve
0.999244 [0.999244,0.999244]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.996977 [0.996977,0.996977]
area_under_roc_curve
0.997801 [0.997801,0.997801]
area_under_roc_curve
0.998534 [0.998534,0.998534]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.990469 [0.990469,0.990469]
area_under_roc_curve
0.98827 [0.98827,0.98827]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.964434 [0.930233,0.976378]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.965402 [0.93617,0.97561]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976792 [0.956522,0.983871]
f_measure
0.988145 [0.976744,0.992126]
f_measure
1 [1,1]
f_measure
0.988319 [0.977778,0.992]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.929412 [0.863636,0.952381]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976792 [0.956522,0.983871]
f_measure
0.965402 [0.93617,0.97561]
f_measure
0.964957 [0.933333,0.976]
f_measure
0.976471 [0.954545,0.984127]
f_measure
1 [1,1]
f_measure
0.965402 [0.93617,0.97561]
f_measure
0.964434 [0.930233,0.976378]
f_measure
0.976792 [0.956522,0.983871]
f_measure
0.952941 [0.909091,0.968254]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.964957 [0.933333,0.976]
f_measure
0.988145 [0.976744,0.992126]
f_measure
1 [1,1]
f_measure
0.952941 [0.909091,0.968254]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.988145 [0.976744,0.992126]
f_measure
1 [1,1]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.952381 [0.904762,0.968254]
f_measure
0.975781 [0.95,0.984375]
f_measure
0.964013 [0.930233,0.976]
f_measure
0.963327 [0.923077,0.976744]
f_measure
0.976513 [0.956522,0.983607]
f_measure
0.975781 [0.95,0.984375]
f_measure
0.988186 [0.976744,0.992]
f_measure
1 [1,1]
f_measure
0.97654 [0.954545,0.983871]
f_measure
0.987997 [0.97561,0.992126]
f_measure
0.988186 [0.976744,0.992]
f_measure
0.987997 [0.97561,0.992126]
f_measure
0.988004 [0.976744,0.992]
f_measure
0.97654 [0.954545,0.983871]
f_measure
0.952381 [0.909091,0.967742]
f_measure
0.988186 [0.976744,0.992]
f_measure
1 [1,1]
f_measure
0.963991 [0.926829,0.976378]
f_measure
0.965041 [0.933333,0.97561]
f_measure
0.987997 [0.97561,0.992126]
f_measure
0.951625 [0.904762,0.968254]
f_measure
0.97619 [0.954545,0.983871]
f_measure
0.965041 [0.933333,0.97561]
f_measure
0.964537 [0.933333,0.97561]
f_measure
1 [1,1]
f_measure
0.988004 [0.976744,0.992]
f_measure
0.97619 [0.954545,0.983871]
f_measure
0.988179 [0.977778,0.99187]
f_measure
1 [1,1]
f_measure
0.97619 [0.954545,0.983871]
f_measure
0.97619 [0.954545,0.983871]
f_measure
0.975813 [0.952381,0.984127]
f_measure
0.97619 [0.952381,0.984127]
f_measure
0.976513 [0.956522,0.983607]
f_measure
0.963327 [0.923077,0.976744]
f_measure
0.964013 [0.930233,0.976]
f_measure
0.964537 [0.933333,0.97561]
f_measure
1 [1,1]
f_measure
0.951625 [0.904762,0.968254]
f_measure
0.975813 [0.952381,0.984127]
kappa
0.880869
kappa
0.936803
kappa
0.938672
kappa
0.936803
kappa
0.938672
kappa
0.938672
kappa
0.938672
kappa
0.938672
kappa
0.906628
kappa
0.969783
kappa
0.938672
kappa
0.911917
kappa
1
kappa
1
kappa
0.880869
kappa
0.969783
kappa
0.936803
kappa
0.940434
kappa
0.968876
kappa
1
kappa
0.969783
kappa
1
kappa
1
kappa
0.816017
kappa
0.968876
kappa
0.938672
kappa
0.938672
kappa
0.968876
kappa
0.969783
kappa
0.936803
kappa
0.969783
kappa
0.938672
kappa
0.968876
kappa
0.936803
kappa
0.940434
kappa
0.911917
kappa
0.909349
kappa
0.938672
kappa
1
kappa
0.911917
kappa
0.906628
kappa
0.940434
kappa
0.877345
kappa
0.936803
kappa
0.968876
kappa
0.936803
kappa
0.909349
kappa
0.968876
kappa
1
kappa
0.877345
kappa
0.968876
kappa
0.969783
kappa
0.880869
kappa
0.968876
kappa
1
kappa
0.969783
kappa
0.938672
kappa
0.936803
kappa
0.936803
kappa
0.938672
kappa
0.873016
kappa
0.934426
kappa
0.90625
kappa
0.9
kappa
0.940171
kappa
0.934426
kappa
0.96875
kappa
1
kappa
0.938462
kappa
0.967742
kappa
0.96875
kappa
0.967742
kappa
0.96875
kappa
0.938462
kappa
0.876833
kappa
0.96875
kappa
1
kappa
0.903226
kappa
0.909091
kappa
0.967742
kappa
0.873112
kappa
0.938416
kappa
0.909091
kappa
0.90896
kappa
1
kappa
0.96875
kappa
0.938416
kappa
0.969653
kappa
1
kappa
0.938416
kappa
0.938416
kappa
0.936556
kappa
0.936508
kappa
0.940171
kappa
0.9
kappa
0.90625
kappa
0.90896
kappa
1
kappa
0.873112
kappa
0.936556
kb_relative_information_score
76.104156
kb_relative_information_score
79.339606
kb_relative_information_score
79.778422
kb_relative_information_score
77.466069
kb_relative_information_score
78.101155
kb_relative_information_score
78.74573
kb_relative_information_score
78.156891
kb_relative_information_score
79.638679
kb_relative_information_score
76.378822
kb_relative_information_score
81.26554
kb_relative_information_score
79.742793
kb_relative_information_score
76.666811
kb_relative_information_score
82.668168
kb_relative_information_score
82.278402
kb_relative_information_score
73.603308
kb_relative_information_score
80.3942
kb_relative_information_score
79.044277
kb_relative_information_score
77.937138
kb_relative_information_score
81.063711
kb_relative_information_score
84.829513
kb_relative_information_score
80.501723
kb_relative_information_score
80.791594
kb_relative_information_score
83.454794
kb_relative_information_score
69.98855
kb_relative_information_score
81.793308
kb_relative_information_score
80.741408
kb_relative_information_score
77.399799
kb_relative_information_score
81.689812
kb_relative_information_score
78.042983
kb_relative_information_score
77.33829
kb_relative_information_score
80.263134
kb_relative_information_score
78.22025
kb_relative_information_score
79.817031
kb_relative_information_score
78.873203
kb_relative_information_score
78.379361
kb_relative_information_score
77.179953
kb_relative_information_score
76.499393
kb_relative_information_score
78.279296
kb_relative_information_score
83.730095
kb_relative_information_score
75.726299
kb_relative_information_score
77.749358
kb_relative_information_score
79.069581
kb_relative_information_score
74.614195
kb_relative_information_score
78.340397
kb_relative_information_score
82.395592
kb_relative_information_score
78.880307
kb_relative_information_score
77.905951
kb_relative_information_score
79.518303
kb_relative_information_score
83.421892
kb_relative_information_score
73.050119
kb_relative_information_score
80.663591
kb_relative_information_score
81.31757
kb_relative_information_score
72.315023
kb_relative_information_score
81.665576
kb_relative_information_score
83.390632
kb_relative_information_score
81.566973
kb_relative_information_score
78.283172
kb_relative_information_score
78.346005
kb_relative_information_score
78.725925
kb_relative_information_score
79.021304
kb_relative_information_score
71.451767
kb_relative_information_score
76.150605
kb_relative_information_score
72.976287
kb_relative_information_score
74.675497
kb_relative_information_score
76.918124
kb_relative_information_score
71.98174
kb_relative_information_score
78.522029
kb_relative_information_score
81.401912
kb_relative_information_score
75.61388
kb_relative_information_score
78.08165
kb_relative_information_score
79.582304
kb_relative_information_score
78.689611
kb_relative_information_score
79.303102
kb_relative_information_score
75.346749
kb_relative_information_score
72.512775
kb_relative_information_score
75.13196
kb_relative_information_score
81.044093
kb_relative_information_score
72.690424
kb_relative_information_score
73.040243
kb_relative_information_score
79.270967
kb_relative_information_score
73.035432
kb_relative_information_score
78.525651
kb_relative_information_score
75.238043
kb_relative_information_score
76.892098
kb_relative_information_score
78.71967
kb_relative_information_score
79.903524
kb_relative_information_score
77.994366
kb_relative_information_score
80.514122
kb_relative_information_score
82.868953
kb_relative_information_score
77.8306
kb_relative_information_score
79.892743
kb_relative_information_score
78.145997
kb_relative_information_score
77.021726
kb_relative_information_score
75.929398
kb_relative_information_score
74.010234
kb_relative_information_score
76.543454
kb_relative_information_score
77.247032
kb_relative_information_score
80.014755
kb_relative_information_score
70.871145
kb_relative_information_score
79.861132
mean_absolute_error
0.03567
mean_absolute_error
0.025302
mean_absolute_error
0.022215
mean_absolute_error
0.032266
mean_absolute_error
0.031452
mean_absolute_error
0.027775
mean_absolute_error
0.029802
mean_absolute_error
0.022771
mean_absolute_error
0.035525
mean_absolute_error
0.015964
mean_absolute_error
0.022403
mean_absolute_error
0.033802
mean_absolute_error
0.013692
mean_absolute_error
0.013326
mean_absolute_error
0.047034
mean_absolute_error
0.022794
mean_absolute_error
0.025225
mean_absolute_error
0.029894
mean_absolute_error
0.019901
mean_absolute_error
0.00171
mean_absolute_error
0.020486
mean_absolute_error
0.020738
mean_absolute_error
0.010137
mean_absolute_error
0.062534
mean_absolute_error
0.014398
mean_absolute_error
0.018925
mean_absolute_error
0.031391
mean_absolute_error
0.015047
mean_absolute_error
0.029603
mean_absolute_error
0.035489
mean_absolute_error
0.023133
mean_absolute_error
0.028204
mean_absolute_error
0.021463
mean_absolute_error
0.026126
mean_absolute_error
0.028356
mean_absolute_error
0.030832
mean_absolute_error
0.034921
mean_absolute_error
0.029956
mean_absolute_error
0.005764
mean_absolute_error
0.038598
mean_absolute_error
0.032089
mean_absolute_error
0.026136
mean_absolute_error
0.040971
mean_absolute_error
0.028786
mean_absolute_error
0.013869
mean_absolute_error
0.026226
mean_absolute_error
0.029786
mean_absolute_error
0.023487
mean_absolute_error
0.009215
mean_absolute_error
0.050864
mean_absolute_error
0.020333
mean_absolute_error
0.017307
mean_absolute_error
0.050847
mean_absolute_error
0.014555
mean_absolute_error
0.006834
mean_absolute_error
0.01575
mean_absolute_error
0.02982
mean_absolute_error
0.02864
mean_absolute_error
0.027272
mean_absolute_error
0.024363
mean_absolute_error
0.046551
mean_absolute_error
0.028695
mean_absolute_error
0.048794
mean_absolute_error
0.034748
mean_absolute_error
0.032855
mean_absolute_error
0.045778
mean_absolute_error
0.019248
mean_absolute_error
0.008145
mean_absolute_error
0.030593
mean_absolute_error
0.024139
mean_absolute_error
0.013797
mean_absolute_error
0.017656
mean_absolute_error
0.023892
mean_absolute_error
0.03085
mean_absolute_error
0.05003
mean_absolute_error
0.033985
mean_absolute_error
0.007562
mean_absolute_error
0.040916
mean_absolute_error
0.038661
mean_absolute_error
0.018515
mean_absolute_error
0.047392
mean_absolute_error
0.025573
mean_absolute_error
0.029089
mean_absolute_error
0.033116
mean_absolute_error
0.019205
mean_absolute_error
0.019271
mean_absolute_error
0.026767
mean_absolute_error
0.018892
mean_absolute_error
0.010117
mean_absolute_error
0.029984
mean_absolute_error
0.021229
mean_absolute_error
0.027928
mean_absolute_error
0.023444
mean_absolute_error
0.03458
mean_absolute_error
0.03593
mean_absolute_error
0.032838
mean_absolute_error
0.029288
mean_absolute_error
0.020387
mean_absolute_error
0.060094
mean_absolute_error
0.021419
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
precision
0.955497 [0.875,0.983607]
precision
0.977195 [1,0.969231]
precision
0.976471 [0.954545,0.984127]
precision
0.977195 [1,0.969231]
precision
0.976471 [0.954545,0.984127]
precision
0.976471 [0.954545,0.984127]
precision
0.976471 [0.954545,0.984127]
precision
0.976471 [0.954545,0.984127]
precision
0.964513 [0.952381,0.96875]
precision
0.988747 [0.956522,1]
precision
0.976471 [0.954545,0.984127]
precision
0.968941 [0.88,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.955497 [0.875,0.983607]
precision
0.988747 [0.956522,1]
precision
0.977195 [1,0.969231]
precision
0.978431 [0.916667,1]
precision
0.988419 [1,0.984375]
precision
1 [1,1]
precision
0.988747 [0.956522,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.929412 [0.863636,0.952381]
precision
0.988419 [1,0.984375]
precision
0.976471 [0.954545,0.984127]
precision
0.976471 [0.954545,0.984127]
precision
0.988419 [1,0.984375]
precision
0.988747 [0.956522,1]
precision
0.977195 [1,0.969231]
precision
0.988747 [0.956522,1]
precision
0.976471 [0.954545,0.984127]
precision
0.988419 [1,0.984375]
precision
0.977195 [1,0.969231]
precision
0.978431 [0.916667,1]
precision
0.968941 [0.88,1]
precision
0.965539 [0.913043,0.983871]
precision
0.976471 [0.954545,0.984127]
precision
1 [1,1]
precision
0.968941 [0.88,1]
precision
0.964513 [0.952381,0.96875]
precision
0.978431 [0.916667,1]
precision
0.952941 [0.909091,0.968254]
precision
0.977195 [1,0.969231]
precision
0.988419 [1,0.984375]
precision
0.977195 [1,0.969231]
precision
0.965539 [0.913043,0.983871]
precision
0.988419 [1,0.984375]
precision
1 [1,1]
precision
0.952941 [0.909091,0.968254]
precision
0.988419 [1,0.984375]
precision
0.988747 [0.956522,1]
precision
0.955497 [0.875,0.983607]
precision
0.988419 [1,0.984375]
precision
1 [1,1]
precision
0.988747 [0.956522,1]
precision
0.976471 [0.954545,0.984127]
precision
0.977195 [1,0.969231]
precision
0.977195 [1,0.969231]
precision
0.976471 [0.954545,0.984127]
precision
0.952381 [0.904762,0.968254]
precision
0.976923 [1,0.969231]
precision
0.964097 [0.952381,0.968254]
precision
0.965909 [1,0.954545]
precision
0.978175 [0.916667,1]
precision
0.976923 [1,0.969231]
precision
0.988636 [0.954545,1]
precision
1 [1,1]
precision
0.978261 [0.913043,1]
precision
0.988281 [1,0.984375]
precision
0.988636 [0.954545,1]
precision
0.988281 [1,0.984375]
precision
0.988284 [1,0.984127]
precision
0.978261 [0.913043,1]
precision
0.952381 [0.909091,0.967742]
precision
0.988636 [0.954545,1]
precision
1 [1,1]
precision
0.964063 [0.95,0.96875]
precision
0.96875 [0.875,1]
precision
0.988281 [1,0.984375]
precision
0.952307 [0.95,0.953125]
precision
0.97619 [0.954545,0.983871]
precision
0.96875 [0.875,1]
precision
0.965126 [0.913043,0.983607]
precision
1 [1,1]
precision
0.988284 [1,0.984127]
precision
0.97619 [0.954545,0.983871]
precision
0.988613 [0.956522,1]
precision
1 [1,1]
precision
0.97619 [0.954545,0.983871]
precision
0.97619 [0.954545,0.983871]
precision
0.976935 [1,0.96875]
precision
0.97619 [0.952381,0.984127]
precision
0.978175 [0.916667,1]
precision
0.965909 [1,0.954545]
precision
0.964097 [0.952381,0.968254]
precision
0.965126 [0.913043,0.983607]
precision
1 [1,1]
precision
0.952307 [0.95,0.953125]
precision
0.976935 [1,0.96875]
predictive_accuracy
0.952941
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.964706
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.964706
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.952941
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
1
predictive_accuracy
0.988235
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.929412
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.964706
predictive_accuracy
0.964706
predictive_accuracy
0.976471
predictive_accuracy
1
predictive_accuracy
0.964706
predictive_accuracy
0.964706
predictive_accuracy
0.976471
predictive_accuracy
0.952941
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.964706
predictive_accuracy
0.988235
predictive_accuracy
1
predictive_accuracy
0.952941
predictive_accuracy
0.988235
predictive_accuracy
0.988235
predictive_accuracy
0.952941
predictive_accuracy
0.988235
predictive_accuracy
1
predictive_accuracy
0.988235
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.976471
predictive_accuracy
0.952381
predictive_accuracy
0.97619
predictive_accuracy
0.964286
predictive_accuracy
0.964286
predictive_accuracy
0.97619
predictive_accuracy
0.97619
predictive_accuracy
0.988095
predictive_accuracy
1
predictive_accuracy
0.97619
predictive_accuracy
0.988095
predictive_accuracy
0.988095
predictive_accuracy
0.988095
predictive_accuracy
0.988095
predictive_accuracy
0.97619
predictive_accuracy
0.952381
predictive_accuracy
0.988095
predictive_accuracy
1
predictive_accuracy
0.964286
predictive_accuracy
0.964286
predictive_accuracy
0.988095
predictive_accuracy
0.952381
predictive_accuracy
0.97619
predictive_accuracy
0.964286
predictive_accuracy
0.964286
predictive_accuracy
1
predictive_accuracy
0.988095
predictive_accuracy
0.97619
predictive_accuracy
0.988095
predictive_accuracy
1
predictive_accuracy
0.97619
predictive_accuracy
0.97619
predictive_accuracy
0.97619
predictive_accuracy
0.97619
predictive_accuracy
0.97619
predictive_accuracy
0.964286
predictive_accuracy
0.964286
predictive_accuracy
0.964286
predictive_accuracy
1
predictive_accuracy
0.952381
predictive_accuracy
0.97619
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
recall
0.952941 [0.954545,0.952381]
recall
0.976471 [0.909091,1]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.909091,1]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.964706 [0.909091,0.984127]
recall
0.988235 [1,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.964706 [1,0.952381]
recall
1 [1,1]
recall
1 [1,1]
recall
0.952941 [0.954545,0.952381]
recall
0.988235 [1,0.984127]
recall
0.976471 [0.909091,1]
recall
0.976471 [1,0.968254]
recall
0.988235 [0.954545,1]
recall
1 [1,1]
recall
0.988235 [1,0.984127]
recall
1 [1,1]
recall
1 [1,1]
recall
0.929412 [0.863636,0.952381]
recall
0.988235 [0.954545,1]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.988235 [0.954545,1]
recall
0.988235 [1,0.984127]
recall
0.976471 [0.909091,1]
recall
0.988235 [1,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.988235 [0.954545,1]
recall
0.976471 [0.909091,1]
recall
0.976471 [1,0.968254]
recall
0.964706 [1,0.952381]
recall
0.964706 [0.954545,0.968254]
recall
0.976471 [0.954545,0.984127]
recall
1 [1,1]
recall
0.964706 [1,0.952381]
recall
0.964706 [0.909091,0.984127]
recall
0.976471 [1,0.968254]
recall
0.952941 [0.909091,0.968254]
recall
0.976471 [0.909091,1]
recall
0.988235 [0.954545,1]
recall
0.976471 [0.909091,1]
recall
0.964706 [0.954545,0.968254]
recall
0.988235 [0.954545,1]
recall
1 [1,1]
recall
0.952941 [0.909091,0.968254]
recall
0.988235 [0.954545,1]
recall
0.988235 [1,0.984127]
recall
0.952941 [0.954545,0.952381]
recall
0.988235 [0.954545,1]
recall
1 [1,1]
recall
0.988235 [1,0.984127]
recall
0.976471 [0.954545,0.984127]
recall
0.976471 [0.909091,1]
recall
0.976471 [0.909091,1]
recall
0.976471 [0.954545,0.984127]
recall
0.952381 [0.904762,0.968254]
recall
0.97619 [0.904762,1]
recall
0.964286 [0.909091,0.983871]
recall
0.964286 [0.857143,1]
recall
0.97619 [1,0.967742]
recall
0.97619 [0.904762,1]
recall
0.988095 [1,0.984127]
recall
1 [1,1]
recall
0.97619 [1,0.968254]
recall
0.988095 [0.952381,1]
recall
0.988095 [1,0.984127]
recall
0.988095 [0.952381,1]
recall
0.988095 [0.954545,1]
recall
0.97619 [1,0.968254]
recall
0.952381 [0.909091,0.967742]
recall
0.988095 [1,0.984127]
recall
1 [1,1]
recall
0.964286 [0.904762,0.984127]
recall
0.964286 [1,0.952381]
recall
0.988095 [0.952381,1]
recall
0.952381 [0.863636,0.983871]
recall
0.97619 [0.954545,0.983871]
recall
0.964286 [1,0.952381]
recall
0.964286 [0.954545,0.967742]
recall
1 [1,1]
recall
0.988095 [0.954545,1]
recall
0.97619 [0.954545,0.983871]
recall
0.988095 [1,0.983871]
recall
1 [1,1]
recall
0.97619 [0.954545,0.983871]
recall
0.97619 [0.954545,0.983871]
recall
0.97619 [0.909091,1]
recall
0.97619 [0.952381,0.984127]
recall
0.97619 [1,0.967742]
recall
0.964286 [0.857143,1]
recall
0.964286 [0.909091,0.983871]
recall
0.964286 [0.954545,0.967742]
recall
1 [1,1]
recall
0.952381 [0.863636,0.983871]
recall
0.97619 [0.909091,1]
relative_absolute_error
0.093036
relative_absolute_error
0.065994
relative_absolute_error
0.057942
relative_absolute_error
0.08416
relative_absolute_error
0.082036
relative_absolute_error
0.072444
relative_absolute_error
0.077731
relative_absolute_error
0.059393
relative_absolute_error
0.09266
relative_absolute_error
0.04164
relative_absolute_error
0.058432
relative_absolute_error
0.088165
relative_absolute_error
0.035713
relative_absolute_error
0.034757
relative_absolute_error
0.122679
relative_absolute_error
0.059453
relative_absolute_error
0.065794
relative_absolute_error
0.077971
relative_absolute_error
0.051908
relative_absolute_error
0.004461
relative_absolute_error
0.053434
relative_absolute_error
0.054091
relative_absolute_error
0.02644
relative_absolute_error
0.163107
relative_absolute_error
0.037554
relative_absolute_error
0.049361
relative_absolute_error
0.081876
relative_absolute_error
0.039246
relative_absolute_error
0.077213
relative_absolute_error
0.092566
relative_absolute_error
0.060339
relative_absolute_error
0.073564
relative_absolute_error
0.055983
relative_absolute_error
0.068143
relative_absolute_error
0.073961
relative_absolute_error
0.080419
relative_absolute_error
0.091084
relative_absolute_error
0.078135
relative_absolute_error
0.015035
relative_absolute_error
0.100674
relative_absolute_error
0.083697
relative_absolute_error
0.06817
relative_absolute_error
0.106863
relative_absolute_error
0.075083
relative_absolute_error
0.036174
relative_absolute_error
0.068405
relative_absolute_error
0.077691
relative_absolute_error
0.061262
relative_absolute_error
0.024036
relative_absolute_error
0.132667
relative_absolute_error
0.053034
relative_absolute_error
0.045143
relative_absolute_error
0.132624
relative_absolute_error
0.037963
relative_absolute_error
0.017825
relative_absolute_error
0.041081
relative_absolute_error
0.077779
relative_absolute_error
0.074701
relative_absolute_error
0.071133
relative_absolute_error
0.063544
relative_absolute_error
0.122784
relative_absolute_error
0.075687
relative_absolute_error
0.126775
relative_absolute_error
0.091653
relative_absolute_error
0.085364
relative_absolute_error
0.120745
relative_absolute_error
0.050769
relative_absolute_error
0.021484
relative_absolute_error
0.080694
relative_absolute_error
0.06367
relative_absolute_error
0.03639
relative_absolute_error
0.046569
relative_absolute_error
0.062075
relative_absolute_error
0.08137
relative_absolute_error
0.129987
relative_absolute_error
0.089639
relative_absolute_error
0.019945
relative_absolute_error
0.10792
relative_absolute_error
0.101973
relative_absolute_error
0.048836
relative_absolute_error
0.123134
relative_absolute_error
0.066444
relative_absolute_error
0.076727
relative_absolute_error
0.086042
relative_absolute_error
0.050655
relative_absolute_error
0.050069
relative_absolute_error
0.069545
relative_absolute_error
0.049085
relative_absolute_error
0.026287
relative_absolute_error
0.077903
relative_absolute_error
0.055157
relative_absolute_error
0.072562
relative_absolute_error
0.061838
relative_absolute_error
0.089846
relative_absolute_error
0.094771
relative_absolute_error
0.08532
relative_absolute_error
0.076096
relative_absolute_error
0.05297
relative_absolute_error
0.156136
relative_absolute_error
0.055651
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_squared_error
0.157768
root_mean_squared_error
0.126288
root_mean_squared_error
0.116224
root_mean_squared_error
0.157082
root_mean_squared_error
0.13469
root_mean_squared_error
0.128084
root_mean_squared_error
0.132466
root_mean_squared_error
0.131981
root_mean_squared_error
0.179027
root_mean_squared_error
0.107489
root_mean_squared_error
0.132281
root_mean_squared_error
0.17689
root_mean_squared_error
0.061641
root_mean_squared_error
0.059014
root_mean_squared_error
0.189987
root_mean_squared_error
0.115585
root_mean_squared_error
0.152131
root_mean_squared_error
0.155866
root_mean_squared_error
0.079844
root_mean_squared_error
0.008288
root_mean_squared_error
0.112864
root_mean_squared_error
0.074548
root_mean_squared_error
0.038335
root_mean_squared_error
0.232591
root_mean_squared_error
0.109012
root_mean_squared_error
0.118388
root_mean_squared_error
0.159058
root_mean_squared_error
0.108887
root_mean_squared_error
0.106992
root_mean_squared_error
0.155984
root_mean_squared_error
0.116717
root_mean_squared_error
0.145755
root_mean_squared_error
0.115838
root_mean_squared_error
0.153279
root_mean_squared_error
0.148862
root_mean_squared_error
0.160511
root_mean_squared_error
0.168301
root_mean_squared_error
0.154475
root_mean_squared_error
0.040367
root_mean_squared_error
0.187319
root_mean_squared_error
0.139218
root_mean_squared_error
0.126933
root_mean_squared_error
0.185045
root_mean_squared_error
0.145075
root_mean_squared_error
0.071415
root_mean_squared_error
0.144968
root_mean_squared_error
0.146987
root_mean_squared_error
0.11611
root_mean_squared_error
0.052415
root_mean_squared_error
0.197541
root_mean_squared_error
0.091179
root_mean_squared_error
0.098569
root_mean_squared_error
0.205522
root_mean_squared_error
0.081414
root_mean_squared_error
0.047911
root_mean_squared_error
0.110482
root_mean_squared_error
0.136744
root_mean_squared_error
0.144205
root_mean_squared_error
0.154232
root_mean_squared_error
0.113617
root_mean_squared_error
0.194267
root_mean_squared_error
0.146427
root_mean_squared_error
0.197067
root_mean_squared_error
0.150376
root_mean_squared_error
0.139406
root_mean_squared_error
0.161739
root_mean_squared_error
0.110967
root_mean_squared_error
0.037205
root_mean_squared_error
0.154305
root_mean_squared_error
0.096693
root_mean_squared_error
0.085661
root_mean_squared_error
0.091479
root_mean_squared_error
0.108426
root_mean_squared_error
0.133524
root_mean_squared_error
0.204432
root_mean_squared_error
0.133387
root_mean_squared_error
0.043494
root_mean_squared_error
0.181049
root_mean_squared_error
0.180604
root_mean_squared_error
0.081156
root_mean_squared_error
0.20054
root_mean_squared_error
0.139288
root_mean_squared_error
0.143847
root_mean_squared_error
0.162066
root_mean_squared_error
0.084073
root_mean_squared_error
0.119505
root_mean_squared_error
0.122134
root_mean_squared_error
0.113895
root_mean_squared_error
0.047565
root_mean_squared_error
0.137425
root_mean_squared_error
0.106172
root_mean_squared_error
0.150801
root_mean_squared_error
0.129248
root_mean_squared_error
0.149683
root_mean_squared_error
0.180357
root_mean_squared_error
0.152287
root_mean_squared_error
0.135756
root_mean_squared_error
0.08067
root_mean_squared_error
0.211271
root_mean_squared_error
0.124501
root_relative_squared_error
0.360209
root_relative_squared_error
0.288337
root_relative_squared_error
0.265359
root_relative_squared_error
0.358644
root_relative_squared_error
0.307519
root_relative_squared_error
0.292437
root_relative_squared_error
0.302441
root_relative_squared_error
0.301335
root_relative_squared_error
0.408748
root_relative_squared_error
0.245415
root_relative_squared_error
0.302018
root_relative_squared_error
0.403868
root_relative_squared_error
0.140737
root_relative_squared_error
0.134738
root_relative_squared_error
0.433772
root_relative_squared_error
0.263898
root_relative_squared_error
0.34734
root_relative_squared_error
0.355868
root_relative_squared_error
0.182298
root_relative_squared_error
0.018922
root_relative_squared_error
0.257686
root_relative_squared_error
0.170206
root_relative_squared_error
0.087526
root_relative_squared_error
0.531044
root_relative_squared_error
0.248892
root_relative_squared_error
0.270299
root_relative_squared_error
0.363154
root_relative_squared_error
0.248606
root_relative_squared_error
0.24428
root_relative_squared_error
0.356136
root_relative_squared_error
0.266483
root_relative_squared_error
0.332782
root_relative_squared_error
0.264478
root_relative_squared_error
0.34996
root_relative_squared_error
0.339875
root_relative_squared_error
0.366473
root_relative_squared_error
0.384259
root_relative_squared_error
0.352692
root_relative_squared_error
0.092164
root_relative_squared_error
0.427679
root_relative_squared_error
0.317857
root_relative_squared_error
0.289808
root_relative_squared_error
0.422489
root_relative_squared_error
0.33123
root_relative_squared_error
0.163053
root_relative_squared_error
0.330985
root_relative_squared_error
0.335596
root_relative_squared_error
0.265099
root_relative_squared_error
0.119672
root_relative_squared_error
0.451017
root_relative_squared_error
0.208177
root_relative_squared_error
0.225049
root_relative_squared_error
0.46924
root_relative_squared_error
0.185881
root_relative_squared_error
0.109388
root_relative_squared_error
0.252249
root_relative_squared_error
0.31221
root_relative_squared_error
0.329242
root_relative_squared_error
0.352137
root_relative_squared_error
0.259407
root_relative_squared_error
0.448559
root_relative_squared_error
0.338097
root_relative_squared_error
0.448198
root_relative_squared_error
0.347215
root_relative_squared_error
0.317058
root_relative_squared_error
0.373452
root_relative_squared_error
0.25622
root_relative_squared_error
0.085905
root_relative_squared_error
0.356288
root_relative_squared_error
0.223262
root_relative_squared_error
0.19779
root_relative_squared_error
0.211224
root_relative_squared_error
0.246599
root_relative_squared_error
0.308305
root_relative_squared_error
0.46495
root_relative_squared_error
0.307989
root_relative_squared_error
0.100426
root_relative_squared_error
0.418038
root_relative_squared_error
0.417011
root_relative_squared_error
0.187389
root_relative_squared_error
0.456097
root_relative_squared_error
0.316789
root_relative_squared_error
0.33214
root_relative_squared_error
0.368596
root_relative_squared_error
0.194123
root_relative_squared_error
0.271795
root_relative_squared_error
0.277775
root_relative_squared_error
0.259036
root_relative_squared_error
0.108178
root_relative_squared_error
0.312553
root_relative_squared_error
0.241473
root_relative_squared_error
0.342973
root_relative_squared_error
0.298431
root_relative_squared_error
0.340432
root_relative_squared_error
0.416441
root_relative_squared_error
0.346353
root_relative_squared_error
0.308756
root_relative_squared_error
0.183472
root_relative_squared_error
0.480504
root_relative_squared_error
0.283158
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
360
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
360
usercpu_time_millis
360
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
340
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
340
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
340
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis
360
usercpu_time_millis
350
usercpu_time_millis
350
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
360
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
360
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
340
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
340
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
340
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
350