448056
2
Joaquin Vanschoren
4612
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
1056
mc1
https://www.openml.org/data/download/53939/mc1.arff
-1
1570778
description
https://api.openml.org/data/download/1570778/weka_generated_run7784752350710142430.xml
-1
1570781
model_readable
https://api.openml.org/data/download/1570781/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8932447857652680687.model
-1
1570780
model_serialized
https://api.openml.org/data/download/1570780/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3398277061318793559.model
-1
1570779
predictions
https://api.openml.org/data/download/1570779/weka_generated_predictions7146618914968530302.arff
area_under_roc_curve
0.925142 [0.925142,0.925142]
average_cost
0
f_measure
0.985395 [0.990921,0.221713]
kappa
0.213938
kb_relative_information_score
-544130.083461
mean_absolute_error
0.025392
mean_prior_absolute_error
0.014367
number_of_instances
94660 [93980,680]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.989305 [0.995298,0.161011]
predictive_accuracy
0.982052
prior_entropy
0.062221
recall
0.982052 [0.986582,0.355882]
relative_absolute_error
1.76743
root_mean_prior_squared_error
0.084451
root_mean_squared_error
0.11695
root_relative_squared_error
1.384818
scimark_benchmark
938.128204 [550.2336271358062, 1010.4640495393572, 480.85168147774846, 904.2566622335668, 1744.8349998894232]
total_cost
0
usercpu_time_millis
390
usercpu_time_millis_testing
220
usercpu_time_millis_training
170
area_under_roc_curve
0.931307 [0.931307,0.931307]
area_under_roc_curve
0.92348 [0.92348,0.92348]
area_under_roc_curve
0.929407 [0.929407,0.929407]
area_under_roc_curve
0.927964 [0.927964,0.927964]
area_under_roc_curve
0.90038 [0.90038,0.90038]
area_under_roc_curve
0.882371 [0.882371,0.882371]
area_under_roc_curve
0.928723 [0.928723,0.928723]
area_under_roc_curve
0.934726 [0.934726,0.934726]
area_under_roc_curve
0.887386 [0.887386,0.887386]
area_under_roc_curve
0.96269 [0.96269,0.96269]
area_under_roc_curve
0.918997 [0.918997,0.918997]
area_under_roc_curve
0.924164 [0.924164,0.924164]
area_under_roc_curve
0.984043 [0.984043,0.984043]
area_under_roc_curve
0.94886 [0.94886,0.94886]
area_under_roc_curve
0.874316 [0.874316,0.874316]
area_under_roc_curve
0.936474 [0.936474,0.936474]
area_under_roc_curve
0.953723 [0.953723,0.953723]
area_under_roc_curve
0.861474 [0.861474,0.861474]
area_under_roc_curve
0.954331 [0.954331,0.954331]
area_under_roc_curve
0.904103 [0.904103,0.904103]
area_under_roc_curve
0.964286 [0.964286,0.964286]
area_under_roc_curve
0.91307 [0.91307,0.91307]
area_under_roc_curve
0.906003 [0.906003,0.906003]
area_under_roc_curve
0.980015 [0.980015,0.980015]
area_under_roc_curve
0.951824 [0.951824,0.951824]
area_under_roc_curve
0.952128 [0.952128,0.952128]
area_under_roc_curve
0.929027 [0.929027,0.929027]
area_under_roc_curve
0.889286 [0.889286,0.889286]
area_under_roc_curve
0.948784 [0.948784,0.948784]
area_under_roc_curve
0.904179 [0.904179,0.904179]
area_under_roc_curve
0.915122 [0.915122,0.915122]
area_under_roc_curve
0.987234 [0.987234,0.987234]
area_under_roc_curve
0.958511 [0.958511,0.958511]
area_under_roc_curve
0.947492 [0.947492,0.947492]
area_under_roc_curve
0.766185 [0.766185,0.766185]
area_under_roc_curve
0.920137 [0.920137,0.920137]
area_under_roc_curve
0.971277 [0.971277,0.971277]
area_under_roc_curve
0.916717 [0.916717,0.916717]
area_under_roc_curve
0.916945 [0.916945,0.916945]
area_under_roc_curve
0.914894 [0.914894,0.914894]
area_under_roc_curve
0.792097 [0.792097,0.792097]
area_under_roc_curve
0.930775 [0.930775,0.930775]
area_under_roc_curve
0.933207 [0.933207,0.933207]
area_under_roc_curve
0.899468 [0.899468,0.899468]
area_under_roc_curve
0.973936 [0.973936,0.973936]
area_under_roc_curve
0.918921 [0.918921,0.918921]
area_under_roc_curve
0.926064 [0.926064,0.926064]
area_under_roc_curve
0.912614 [0.912614,0.912614]
area_under_roc_curve
0.909043 [0.909043,0.909043]
area_under_roc_curve
0.907523 [0.907523,0.907523]
area_under_roc_curve
0.933663 [0.933663,0.933663]
area_under_roc_curve
0.942705 [0.942705,0.942705]
area_under_roc_curve
0.926596 [0.926596,0.926596]
area_under_roc_curve
0.901596 [0.901596,0.901596]
area_under_roc_curve
0.896809 [0.896809,0.896809]
area_under_roc_curve
0.949012 [0.949012,0.949012]
area_under_roc_curve
0.908435 [0.908435,0.908435]
area_under_roc_curve
0.974848 [0.974848,0.974848]
area_under_roc_curve
0.929635 [0.929635,0.929635]
area_under_roc_curve
0.939058 [0.939058,0.939058]
area_under_roc_curve
0.878191 [0.878191,0.878191]
area_under_roc_curve
0.910195 [0.910195,0.910195]
area_under_roc_curve
0.922429 [0.922429,0.922429]
area_under_roc_curve
0.928812 [0.928812,0.928812]
area_under_roc_curve
0.988741 [0.988741,0.988741]
area_under_roc_curve
0.93289 [0.93289,0.93289]
area_under_roc_curve
0.873759 [0.873759,0.873759]
area_under_roc_curve
0.945833 [0.945833,0.945833]
area_under_roc_curve
0.912677 [0.912677,0.912677]
area_under_roc_curve
0.892908 [0.892908,0.892908]
area_under_roc_curve
0.957092 [0.957092,0.957092]
area_under_roc_curve
0.908156 [0.908156,0.908156]
area_under_roc_curve
0.90133 [0.90133,0.90133]
area_under_roc_curve
0.837145 [0.837145,0.837145]
area_under_roc_curve
0.952482 [0.952482,0.952482]
area_under_roc_curve
0.91711 [0.91711,0.91711]
area_under_roc_curve
0.90266 [0.90266,0.90266]
area_under_roc_curve
0.932979 [0.932979,0.932979]
area_under_roc_curve
0.96711 [0.96711,0.96711]
area_under_roc_curve
0.922961 [0.922961,0.922961]
area_under_roc_curve
0.976343 [0.976343,0.976343]
area_under_roc_curve
0.871292 [0.871292,0.871292]
area_under_roc_curve
0.887951 [0.887951,0.887951]
area_under_roc_curve
0.951316 [0.951316,0.951316]
area_under_roc_curve
0.941503 [0.941503,0.941503]
area_under_roc_curve
0.970561 [0.970561,0.970561]
area_under_roc_curve
0.970333 [0.970333,0.970333]
area_under_roc_curve
0.924083 [0.924083,0.924083]
area_under_roc_curve
0.929484 [0.929484,0.929484]
area_under_roc_curve
0.946448 [0.946448,0.946448]
area_under_roc_curve
0.97756 [0.97756,0.97756]
area_under_roc_curve
0.954207 [0.954207,0.954207]
area_under_roc_curve
0.961129 [0.961129,0.961129]
area_under_roc_curve
0.955119 [0.955119,0.955119]
area_under_roc_curve
0.949034 [0.949034,0.949034]
area_under_roc_curve
0.921117 [0.921117,0.921117]
area_under_roc_curve
0.936407 [0.936407,0.936407]
area_under_roc_curve
0.912597 [0.912597,0.912597]
area_under_roc_curve
0.965845 [0.965845,0.965845]
area_under_roc_curve
0.9733 [0.9733,0.9733]
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
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0
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0
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0
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f_measure
0.986771 [0.991991,0.285714]
f_measure
0.985945 [0.990904,0.32]
f_measure
0.986224 [0.992,0.210526]
f_measure
0.984902 [0.990374,0.25]
f_measure
0.984387 [0.990933,0.105263]
f_measure
0.984387 [0.990933,0.105263]
f_measure
0.980719 [0.986581,0.193548]
f_measure
0.985673 [0.990354,0.357143]
f_measure
0.981546 [0.988235,0.083333]
f_measure
0.98741 [0.992529,0.3]
f_measure
0.983224 [0.989305,0.166667]
f_measure
0.986224 [0.992,0.210526]
f_measure
0.990602 [0.99467,0.444444]
f_measure
0.98944 [0.994681,0.285714]
f_measure
0.986224 [0.992,0.210526]
f_measure
0.975514 [0.981661,0.15]
f_measure
0.98614 [0.991453,0.272727]
f_measure
0.981475 [0.987681,0.148148]
f_measure
0.990133 [0.995215,0.307692]
f_measure
0.985612 [0.991462,0.2]
f_measure
0.986224 [0.992,0.210526]
f_measure
0.987328 [0.993617,0.142857]
f_measure
0.981475 [0.987681,0.148148]
f_measure
0.988535 [0.993059,0.380952]
f_measure
0.986843 [0.992537,0.222222]
f_measure
0.983814 [0.989845,0.173913]
f_measure
0.986726 [0.993081,0.133333]
f_measure
0.985007 [0.990924,0.190476]
f_measure
0.9894 [0.99414,0.352941]
f_measure
0.984292 [0.989834,0.24]
f_measure
0.98614 [0.991453,0.272727]
f_measure
0.991327 [0.995205,0.470588]
f_measure
0.988114 [0.99361,0.25]
f_measure
0.984408 [0.990385,0.181818]
f_measure
0.978606 [0.984962,0.125]
f_measure
0.990811 [0.99521,0.4]
f_measure
0.988723 [0.993603,0.333333]
f_measure
0.982055 [0.988223,0.153846]
f_measure
0.98741 [0.992529,0.3]
f_measure
0.985518 [0.990914,0.26087]
f_measure
0.983243 [0.989856,0.095238]
f_measure
0.985318 [0.990364,0.307692]
f_measure
0.986771 [0.991991,0.285714]
f_measure
0.980322 [0.986595,0.137931]
f_measure
0.986224 [0.992,0.210526]
f_measure
0.987221 [0.991983,0.347826]
f_measure
0.989897 [0.994133,0.421053]
f_measure
0.984292 [0.989834,0.24]
f_measure
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f_measure
0.976522 [0.983342,0.060606]
f_measure
0.986133 [0.992545,0.125]
f_measure
0.9894 [0.99414,0.352941]
f_measure
0.984902 [0.990374,0.25]
f_measure
0.98614 [0.991453,0.272727]
f_measure
0.981306 [0.987124,0.2]
f_measure
0.991552 [0.995745,0.428571]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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0.021442
mean_absolute_error
0.025377
mean_absolute_error
0.021458
mean_absolute_error
0.026161
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0.023818
mean_absolute_error
0.023892
mean_absolute_error
0.02856
mean_absolute_error
0.025376
mean_absolute_error
0.027508
mean_absolute_error
0.024547
mean_absolute_error
0.027965
mean_absolute_error
0.023125
mean_absolute_error
0.02021
mean_absolute_error
0.024199
mean_absolute_error
0.027478
mean_absolute_error
0.039317
mean_absolute_error
0.02761
mean_absolute_error
0.027803
mean_absolute_error
0.021952
mean_absolute_error
0.024234
mean_absolute_error
0.024185
mean_absolute_error
0.020239
mean_absolute_error
0.029886
mean_absolute_error
0.024509
mean_absolute_error
0.022764
mean_absolute_error
0.0238
mean_absolute_error
0.023721
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0.025833
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0.025594
mean_absolute_error
0.026384
mean_absolute_error
0.027297
mean_absolute_error
0.020466
mean_absolute_error
0.021006
mean_absolute_error
0.023056
mean_absolute_error
0.036433
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0.023041
mean_absolute_error
0.020778
mean_absolute_error
0.029075
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0.024587
mean_absolute_error
0.027037
mean_absolute_error
0.026632
mean_absolute_error
0.021058
mean_absolute_error
0.021424
mean_absolute_error
0.031097
mean_absolute_error
0.020634
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0.024861
mean_absolute_error
0.022141
mean_absolute_error
0.024006
mean_absolute_error
0.02436
mean_absolute_error
0.031853
mean_absolute_error
0.027756
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0.024709
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0.023559
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0.022183
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0.031934
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0.020522
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0.027841
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0.02537
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0.020097
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0.026005
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0.032292
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0.033622
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0.028137
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0.023972
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0.029268
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0.026688
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0.032777
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0.019209
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0.024767
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0.027594
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0.016451
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0.023519
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0.02466
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0.025882
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0.023919
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0.027563
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0.024098
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0.019867
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0.024314
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0.030406
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0.026465
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0.023879
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0.028755
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0.025059
mean_absolute_error
0.016725
mean_absolute_error
0.026324
mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
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mean_prior_absolute_error
0.014572
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
mean_prior_absolute_error
0.014572
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0.014572
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0.014572
mean_prior_absolute_error
0.014572
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0.014572
mean_prior_absolute_error
0.014572
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0.014572
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0.014572
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0.014572
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0.014572
mean_prior_absolute_error
0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014572
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0.014579
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0.014579
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0.014579
mean_prior_absolute_error
0.014579
mean_prior_absolute_error
0.014579
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mean_prior_absolute_error
0.014579
mean_prior_absolute_error
0.014579
mean_prior_absolute_error
0.014579
mean_prior_absolute_error
0.014579
number_of_instances
947 [940,7]
number_of_instances
947 [940,7]
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946 [940,6]
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946 [940,6]
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946 [940,6]
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946 [940,6]
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946 [940,6]
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number_of_instances
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946 [939,7]
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946 [939,7]
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946 [939,7]
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number_of_instances
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number_of_instances
946 [939,7]
precision
0.989937 [0.995713,0.214286]
precision
0.991045 [0.996771,0.222222]
precision
0.988532 [0.994652,0.166667]
precision
0.989643 [0.995699,0.176471]
precision
0.986855 [0.993583,0.083333]
precision
0.986855 [0.993583,0.083333]
precision
0.989231 [0.995666,0.125]
precision
0.992224 [0.99784,0.238095]
precision
0.986639 [0.993548,0.058824]
precision
0.990063 [0.995717,0.230769]
precision
0.988141 [0.994624,0.117647]
precision
0.988532 [0.994652,0.166667]
precision
0.992115 [0.996795,0.363636]
precision
0.98944 [0.994681,0.285714]
precision
0.988532 [0.994652,0.166667]
precision
0.988936 [0.995624,0.090909]
precision
0.989826 [0.995708,0.2]
precision
0.987994 [0.994606,0.1]
precision
0.989798 [0.994687,0.333333]
precision
0.988432 [0.994647,0.153846]
precision
0.988532 [0.994652,0.166667]
precision
0.987328 [0.993617,0.142857]
precision
0.987994 [0.994606,0.1]
precision
0.991529 [0.996785,0.285714]
precision
0.98865 [0.994658,0.181818]
precision
0.988201 [0.994629,0.125]
precision
0.98719 [0.99361,0.125]
precision
0.988345 [0.994641,0.142857]
precision
0.990588 [0.995731,0.3]
precision
0.989566 [0.995694,0.166667]
precision
0.989826 [0.995708,0.2]
precision
0.992387 [0.996798,0.4]
precision
0.98896 [0.99467,0.222222]
precision
0.988269 [0.994635,0.133333]
precision
0.987817 [0.994577,0.08]
precision
0.991152 [0.99574,0.375]
precision
0.990382 [0.995726,0.272727]
precision
0.988038 [0.994612,0.105263]
precision
0.990063 [0.995717,0.230769]
precision
0.989729 [0.995704,0.1875]
precision
0.986753 [0.993569,0.071429]
precision
0.990956 [0.996767,0.210526]
precision
0.989937 [0.995713,0.214286]
precision
0.987915 [0.994595,0.090909]
precision
0.988532 [0.994652,0.166667]
precision
0.991258 [0.996778,0.25]
precision
0.991887 [0.996791,0.333333]
precision
0.989566 [0.995694,0.166667]
precision
0.989566 [0.995694,0.166667]
precision
0.986426 [0.993485,0.038462]
precision
0.98708 [0.993603,0.111111]
precision
0.990588 [0.995731,0.3]
precision
0.989643 [0.995699,0.176471]
precision
0.989826 [0.995708,0.2]
precision
0.989275 [0.995671,0.130435]
precision
0.991552 [0.995745,0.428571]
precision
0.988087 [0.994618,0.111111]
precision
0.989566 [0.995694,0.166667]
precision
0.992115 [0.996795,0.363636]
precision
0.989826 [0.995708,0.2]
precision
0.989999 [0.99568,0.1]
precision
0.988609 [0.9946,0.05]
precision
0.992607 [0.997833,0.173913]
precision
0.99068 [0.995726,0.2]
precision
0.992515 [0.997828,0.16]
precision
0.98878 [0.994635,0.071429]
precision
0.989802 [0.995647,0.074074]
precision
0.990373 [0.995713,0.153846]
precision
0.991502 [0.996767,0.166667]
precision
0.988984 [0.994658,0.1]
precision
0.992199 [0.996791,0.272727]
precision
0.98892 [0.994652,0.090909]
precision
0.987288 [0.99359,0]
precision
0.990038 [0.995685,0.105263]
precision
0.990459 [0.995717,0.166667]
precision
0.990459 [0.995717,0.166667]
precision
0.988569 [0.994589,0.045455]
precision
0.988712 [0.994624,0.0625]
precision
0.990459 [0.995717,0.166667]
precision
0.991341 [0.996757,0.142857]
precision
0.99152 [0.996781,0.285714]
precision
0.988638 [0.994652,0.181818]
precision
0.985169 [0.992513,0]
precision
0.989719 [0.995699,0.1875]
precision
0.988638 [0.994652,0.181818]
precision
0.988332 [0.994635,0.142857]
precision
0.989926 [0.995708,0.214286]
precision
0.989177 [0.995657,0.12]
precision
0.988256 [0.994629,0.133333]
precision
0.989787 [0.994681,0.333333]
precision
0.99083 [0.995731,0.333333]
precision
0.988189 [0.994624,0.125]
precision
0.989312 [0.995671,0.136364]
precision
0.990052 [0.995713,0.230769]
precision
0.991248 [0.996774,0.25]
precision
0.986697 [0.993555,0.066667]
precision
0.988948 [0.994664,0.222222]
precision
0.986786 [0.993569,0.076923]
precision
0.988129 [0.994618,0.117647]
precision
0.992406 [0.997843,0.263158]
predictive_accuracy
0.984161
predictive_accuracy
0.982049
predictive_accuracy
0.984161
predictive_accuracy
0.980993
predictive_accuracy
0.982049
predictive_accuracy
0.982049
predictive_accuracy
0.973601
predictive_accuracy
0.980993
predictive_accuracy
0.976769
predictive_accuracy
0.985216
predictive_accuracy
0.978881
predictive_accuracy
0.984161
predictive_accuracy
0.98944
predictive_accuracy
0.98944
predictive_accuracy
0.984161
predictive_accuracy
0.964097
predictive_accuracy
0.983105
predictive_accuracy
0.975713
predictive_accuracy
0.990496
predictive_accuracy
0.983105
predictive_accuracy
0.984161
predictive_accuracy
0.987328
predictive_accuracy
0.975713
predictive_accuracy
0.986272
predictive_accuracy
0.985216
predictive_accuracy
0.979937
predictive_accuracy
0.986272
predictive_accuracy
0.982049
predictive_accuracy
0.988384
predictive_accuracy
0.979937
predictive_accuracy
0.983105
predictive_accuracy
0.990496
predictive_accuracy
0.987328
predictive_accuracy
0.980993
predictive_accuracy
0.970433
predictive_accuracy
0.990496
predictive_accuracy
0.987328
predictive_accuracy
0.976769
predictive_accuracy
0.985216
predictive_accuracy
0.982049
predictive_accuracy
0.979937
predictive_accuracy
0.980993
predictive_accuracy
0.984161
predictive_accuracy
0.973601
predictive_accuracy
0.984161
predictive_accuracy
0.984161
predictive_accuracy
0.988384
predictive_accuracy
0.979937
predictive_accuracy
0.979937
predictive_accuracy
0.967265
predictive_accuracy
0.985216
predictive_accuracy
0.988384
predictive_accuracy
0.980993
predictive_accuracy
0.983105
predictive_accuracy
0.974657
predictive_accuracy
0.991552
predictive_accuracy
0.977825
predictive_accuracy
0.979937
predictive_accuracy
0.98944
predictive_accuracy
0.983105
predictive_accuracy
0.976744
predictive_accuracy
0.97463
predictive_accuracy
0.977801
predictive_accuracy
0.987315
predictive_accuracy
0.975687
predictive_accuracy
0.980973
predictive_accuracy
0.969345
predictive_accuracy
0.984144
predictive_accuracy
0.980973
predictive_accuracy
0.985201
predictive_accuracy
0.988372
predictive_accuracy
0.984144
predictive_accuracy
0.983087
predictive_accuracy
0.977801
predictive_accuracy
0.985201
predictive_accuracy
0.985201
predictive_accuracy
0.972516
predictive_accuracy
0.978858
predictive_accuracy
0.985201
predictive_accuracy
0.977801
predictive_accuracy
0.986258
predictive_accuracy
0.985201
predictive_accuracy
0.980973
predictive_accuracy
0.98203
predictive_accuracy
0.985201
predictive_accuracy
0.98203
predictive_accuracy
0.984144
predictive_accuracy
0.972516
predictive_accuracy
0.980973
predictive_accuracy
0.990486
predictive_accuracy
0.989429
predictive_accuracy
0.979915
predictive_accuracy
0.975687
predictive_accuracy
0.985201
predictive_accuracy
0.984144
predictive_accuracy
0.978858
predictive_accuracy
0.987315
predictive_accuracy
0.980973
predictive_accuracy
0.978858
predictive_accuracy
0.983087
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
prior_entropy
0.062221
recall
0.984161 [0.988298,0.428571]
recall
0.982049 [0.985106,0.571429]
recall
0.984161 [0.989362,0.285714]
recall
0.980993 [0.985106,0.428571]
recall
0.982049 [0.988298,0.142857]
recall
0.982049 [0.988298,0.142857]
recall
0.973601 [0.97766,0.428571]
recall
0.980993 [0.982979,0.714286]
recall
0.976769 [0.982979,0.142857]
recall
0.985216 [0.989362,0.428571]
recall
0.978881 [0.984043,0.285714]
recall
0.984161 [0.989362,0.285714]
recall
0.98944 [0.992553,0.571429]
recall
0.98944 [0.994681,0.285714]
recall
0.984161 [0.989362,0.285714]
recall
0.964097 [0.968085,0.428571]
recall
0.983105 [0.987234,0.428571]
recall
0.975713 [0.980851,0.285714]
recall
0.990496 [0.995745,0.285714]
recall
0.983105 [0.988298,0.285714]
recall
0.984161 [0.989362,0.285714]
recall
0.987328 [0.993617,0.142857]
recall
0.975713 [0.980851,0.285714]
recall
0.986272 [0.989362,0.571429]
recall
0.985216 [0.990426,0.285714]
recall
0.979937 [0.985106,0.285714]
recall
0.986272 [0.992553,0.142857]
recall
0.982049 [0.987234,0.285714]
recall
0.988384 [0.992553,0.428571]
recall
0.979937 [0.984043,0.428571]
recall
0.983105 [0.987234,0.428571]
recall
0.990496 [0.993617,0.571429]
recall
0.987328 [0.992553,0.285714]
recall
0.980993 [0.98617,0.285714]
recall
0.970433 [0.975532,0.285714]
recall
0.990496 [0.994681,0.428571]
recall
0.987328 [0.991489,0.428571]
recall
0.976769 [0.981915,0.285714]
recall
0.985216 [0.989362,0.428571]
recall
0.982049 [0.98617,0.428571]
recall
0.979937 [0.98617,0.142857]
recall
0.980993 [0.984043,0.571429]
recall
0.984161 [0.988298,0.428571]
recall
0.973601 [0.978723,0.285714]
recall
0.984161 [0.989362,0.285714]
recall
0.984161 [0.987234,0.571429]
recall
0.988384 [0.991489,0.571429]
recall
0.979937 [0.984043,0.428571]
recall
0.979937 [0.984043,0.428571]
recall
0.967265 [0.973404,0.142857]
recall
0.985216 [0.991489,0.142857]
recall
0.988384 [0.992553,0.428571]
recall
0.980993 [0.985106,0.428571]
recall
0.983105 [0.987234,0.428571]
recall
0.974657 [0.978723,0.428571]
recall
0.991552 [0.995745,0.428571]
recall
0.977825 [0.982979,0.285714]
recall
0.979937 [0.984043,0.428571]
recall
0.98944 [0.992553,0.571429]
recall
0.983105 [0.987234,0.428571]
recall
0.976744 [0.980851,0.333333]
recall
0.97463 [0.979787,0.166667]
recall
0.977801 [0.979787,0.666667]
recall
0.987315 [0.991489,0.333333]
recall
0.975687 [0.97766,0.666667]
recall
0.980973 [0.98617,0.166667]
recall
0.969345 [0.973404,0.333333]
recall
0.984144 [0.988298,0.333333]
recall
0.980973 [0.984043,0.5]
recall
0.985201 [0.990426,0.166667]
recall
0.988372 [0.991489,0.5]
recall
0.984144 [0.989362,0.166667]
recall
0.983087 [0.989362,0]
recall
0.977801 [0.981915,0.333333]
recall
0.985201 [0.989362,0.333333]
recall
0.985201 [0.989362,0.333333]
recall
0.972516 [0.97766,0.166667]
recall
0.978858 [0.984043,0.166667]
recall
0.985201 [0.989362,0.333333]
recall
0.977801 [0.980851,0.5]
recall
0.986258 [0.98935,0.571429]
recall
0.985201 [0.990415,0.285714]
recall
0.980973 [0.988285,0]
recall
0.98203 [0.986155,0.428571]
recall
0.985201 [0.990415,0.285714]
recall
0.98203 [0.98722,0.285714]
recall
0.984144 [0.988285,0.428571]
recall
0.972516 [0.976571,0.428571]
recall
0.980973 [0.986155,0.285714]
recall
0.990486 [0.99574,0.285714]
recall
0.989429 [0.99361,0.428571]
recall
0.979915 [0.985091,0.285714]
recall
0.975687 [0.979766,0.428571]
recall
0.985201 [0.98935,0.428571]
recall
0.984144 [0.98722,0.571429]
recall
0.978858 [0.985091,0.142857]
recall
0.987315 [0.992545,0.285714]
recall
0.980973 [0.98722,0.142857]
recall
0.978858 [0.984026,0.285714]
recall
0.983087 [0.985091,0.714286]
relative_absolute_error
1.47145
relative_absolute_error
1.741555
relative_absolute_error
1.472554
relative_absolute_error
1.795327
relative_absolute_error
1.634526
relative_absolute_error
1.639586
relative_absolute_error
1.959928
relative_absolute_error
1.741486
relative_absolute_error
1.887778
relative_absolute_error
1.684544
relative_absolute_error
1.919121
relative_absolute_error
1.586955
relative_absolute_error
1.386944
relative_absolute_error
1.660686
relative_absolute_error
1.88571
relative_absolute_error
2.698143
relative_absolute_error
1.894768
relative_absolute_error
1.908038
relative_absolute_error
1.506446
relative_absolute_error
1.663055
relative_absolute_error
1.659734
relative_absolute_error
1.388932
relative_absolute_error
2.050953
relative_absolute_error
1.681961
relative_absolute_error
1.562192
relative_absolute_error
1.633292
relative_absolute_error
1.627909
relative_absolute_error
1.772817
relative_absolute_error
1.75643
relative_absolute_error
1.810649
relative_absolute_error
1.873266
relative_absolute_error
1.404472
relative_absolute_error
1.441539
relative_absolute_error
1.582222
relative_absolute_error
2.500272
relative_absolute_error
1.581192
relative_absolute_error
1.4259
relative_absolute_error
1.995302
relative_absolute_error
1.687296
relative_absolute_error
1.855421
relative_absolute_error
1.827641
relative_absolute_error
1.445094
relative_absolute_error
1.470219
relative_absolute_error
2.13408
relative_absolute_error
1.416003
relative_absolute_error
1.706126
relative_absolute_error
1.519449
relative_absolute_error
1.647425
relative_absolute_error
1.671711
relative_absolute_error
2.185964
relative_absolute_error
1.90476
relative_absolute_error
1.695703
relative_absolute_error
1.616758
relative_absolute_error
1.52234
relative_absolute_error
2.191493
relative_absolute_error
1.408372
relative_absolute_error
1.910644
relative_absolute_error
1.741031
relative_absolute_error
1.379179
relative_absolute_error
1.784633
relative_absolute_error
2.385311
relative_absolute_error
2.483539
relative_absolute_error
2.078416
relative_absolute_error
1.770764
relative_absolute_error
2.161979
relative_absolute_error
1.971394
relative_absolute_error
2.421142
relative_absolute_error
1.41895
relative_absolute_error
1.82945
relative_absolute_error
2.038265
relative_absolute_error
1.215224
relative_absolute_error
1.737317
relative_absolute_error
1.737492
relative_absolute_error
2.128462
relative_absolute_error
1.657098
relative_absolute_error
1.573569
relative_absolute_error
2.411206
relative_absolute_error
2.226562
relative_absolute_error
1.821593
relative_absolute_error
2.174728
relative_absolute_error
1.775274
relative_absolute_error
1.640596
relative_absolute_error
1.890564
relative_absolute_error
1.652896
relative_absolute_error
1.362663
relative_absolute_error
1.640515
relative_absolute_error
1.667679
relative_absolute_error
2.085542
relative_absolute_error
1.815226
relative_absolute_error
1.637857
relative_absolute_error
1.548952
relative_absolute_error
1.972286
relative_absolute_error
1.92256
relative_absolute_error
1.777321
relative_absolute_error
1.676585
relative_absolute_error
1.718763
relative_absolute_error
1.147192
relative_absolute_error
1.805543
relative_absolute_error
1.849461
relative_absolute_error
1.583573
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.085657
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.079392
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_prior_squared_error
0.085702
root_mean_squared_error
0.112231
root_mean_squared_error
0.115863
root_mean_squared_error
0.120552
root_mean_squared_error
0.121042
root_mean_squared_error
0.115445
root_mean_squared_error
0.112026
root_mean_squared_error
0.131626
root_mean_squared_error
0.110178
root_mean_squared_error
0.134315
root_mean_squared_error
0.119856
root_mean_squared_error
0.123465
root_mean_squared_error
0.111304
root_mean_squared_error
0.094999
root_mean_squared_error
0.106271
root_mean_squared_error
0.121477
root_mean_squared_error
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