284204
2
Joaquin Vanschoren
4407
Supervised Classification
predictive_accuracy
1089
weka.ExtraTree(1)
1859
weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1
K
-1
1089
N
-1
1089
S
1
1089
weka
weka_3.7.12
837
fri_c1_1000_50
https://www.openml.org/data/download/53371/fri_c1_1000_50.arff
-1
956115
description
https://api.openml.org/data/download/956115/weka_generated_run6004314702307512227.xml
-1
956118
model_readable
https://api.openml.org/data/download/956118/WekaModel_weka.classifiers.trees.ExtraTree5292261549397647281.model
-1
956117
model_serialized
https://api.openml.org/data/download/956117/WekaSerialized_weka.classifiers.trees.ExtraTree4817756896348929785.model
-1
956116
predictions
https://api.openml.org/data/download/956116/weka_generated_predictions4920825318224314099.arff
area_under_roc_curve
0.623909 [0.623909,0.623909]
average_cost
0
f_measure
0.626955 [0.59016,0.657426]
kappa
0.247602
kb_relative_information_score
2440.087004
mean_absolute_error
0.3732
mean_prior_absolute_error
0.495591
number_of_instances
10000 [4530,5470]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.627136 [0.587194,0.660214]
predictive_accuracy
0.6268
prior_entropy
0.993642
recall
0.6268 [0.593157,0.654662]
relative_absolute_error
0.753041
root_mean_prior_squared_error
0.497786
root_mean_squared_error
0.610901
root_relative_squared_error
1.227236
scimark_benchmark
1320.902596 [818.1241392904162, 996.8727570475086, 548.2470636678671, 1074.3606305428655, 3166.9083911775488]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.546296 [0.546296,0.546296]
area_under_roc_curve
0.595813 [0.595813,0.595813]
area_under_roc_curve
0.470707 [0.470707,0.470707]
area_under_roc_curve
0.515298 [0.515298,0.515298]
area_under_roc_curve
0.632323 [0.632323,0.632323]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.590909 [0.590909,0.590909]
area_under_roc_curve
0.629293 [0.629293,0.629293]
area_under_roc_curve
0.708081 [0.708081,0.708081]
area_under_roc_curve
0.629293 [0.629293,0.629293]
area_under_roc_curve
0.586554 [0.586554,0.586554]
area_under_roc_curve
0.561594 [0.561594,0.561594]
area_under_roc_curve
0.623232 [0.623232,0.623232]
area_under_roc_curve
0.527778 [0.527778,0.527778]
area_under_roc_curve
0.665657 [0.665657,0.665657]
area_under_roc_curve
0.671717 [0.671717,0.671717]
area_under_roc_curve
0.682828 [0.682828,0.682828]
area_under_roc_curve
0.589899 [0.589899,0.589899]
area_under_roc_curve
0.683838 [0.683838,0.683838]
area_under_roc_curve
0.638384 [0.638384,0.638384]
area_under_roc_curve
0.683977 [0.683977,0.683977]
area_under_roc_curve
0.560386 [0.560386,0.560386]
area_under_roc_curve
0.642424 [0.642424,0.642424]
area_under_roc_curve
0.690419 [0.690419,0.690419]
area_under_roc_curve
0.59798 [0.59798,0.59798]
area_under_roc_curve
0.584848 [0.584848,0.584848]
area_under_roc_curve
0.608081 [0.608081,0.608081]
area_under_roc_curve
0.519192 [0.519192,0.519192]
area_under_roc_curve
0.649495 [0.649495,0.649495]
area_under_roc_curve
0.689899 [0.689899,0.689899]
area_under_roc_curve
0.558586 [0.558586,0.558586]
area_under_roc_curve
0.616162 [0.616162,0.616162]
area_under_roc_curve
0.519192 [0.519192,0.519192]
area_under_roc_curve
0.741414 [0.741414,0.741414]
area_under_roc_curve
0.616162 [0.616162,0.616162]
area_under_roc_curve
0.641414 [0.641414,0.641414]
area_under_roc_curve
0.632323 [0.632323,0.632323]
area_under_roc_curve
0.605051 [0.605051,0.605051]
area_under_roc_curve
0.640404 [0.640404,0.640404]
area_under_roc_curve
0.645455 [0.645455,0.645455]
area_under_roc_curve
0.582828 [0.582828,0.582828]
area_under_roc_curve
0.533333 [0.533333,0.533333]
area_under_roc_curve
0.564646 [0.564646,0.564646]
area_under_roc_curve
0.772727 [0.772727,0.772727]
area_under_roc_curve
0.640404 [0.640404,0.640404]
area_under_roc_curve
0.556566 [0.556566,0.556566]
area_under_roc_curve
0.761616 [0.761616,0.761616]
area_under_roc_curve
0.684848 [0.684848,0.684848]
area_under_roc_curve
0.625253 [0.625253,0.625253]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.614141 [0.614141,0.614141]
area_under_roc_curve
0.638384 [0.638384,0.638384]
area_under_roc_curve
0.576768 [0.576768,0.576768]
area_under_roc_curve
0.708081 [0.708081,0.708081]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.578788 [0.578788,0.578788]
area_under_roc_curve
0.721212 [0.721212,0.721212]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.647475 [0.647475,0.647475]
area_under_roc_curve
0.715152 [0.715152,0.715152]
area_under_roc_curve
0.609091 [0.609091,0.609091]
area_under_roc_curve
0.627273 [0.627273,0.627273]
area_under_roc_curve
0.512121 [0.512121,0.512121]
area_under_roc_curve
0.613131 [0.613131,0.613131]
area_under_roc_curve
0.593939 [0.593939,0.593939]
area_under_roc_curve
0.654545 [0.654545,0.654545]
area_under_roc_curve
0.558586 [0.558586,0.558586]
area_under_roc_curve
0.631313 [0.631313,0.631313]
area_under_roc_curve
0.494949 [0.494949,0.494949]
area_under_roc_curve
0.693939 [0.693939,0.693939]
area_under_roc_curve
0.681818 [0.681818,0.681818]
area_under_roc_curve
0.640404 [0.640404,0.640404]
area_under_roc_curve
0.612721 [0.612721,0.612721]
area_under_roc_curve
0.687879 [0.687879,0.687879]
area_under_roc_curve
0.558776 [0.558776,0.558776]
area_under_roc_curve
0.623591 [0.623591,0.623591]
area_under_roc_curve
0.738325 [0.738325,0.738325]
area_under_roc_curve
0.787842 [0.787842,0.787842]
area_under_roc_curve
0.673108 [0.673108,0.673108]
area_under_roc_curve
0.698068 [0.698068,0.698068]
area_under_roc_curve
0.713131 [0.713131,0.713131]
area_under_roc_curve
0.627273 [0.627273,0.627273]
area_under_roc_curve
0.586554 [0.586554,0.586554]
area_under_roc_curve
0.632323 [0.632323,0.632323]
area_under_roc_curve
0.554348 [0.554348,0.554348]
area_under_roc_curve
0.630032 [0.630032,0.630032]
area_under_roc_curve
0.741546 [0.741546,0.741546]
area_under_roc_curve
0.6719 [0.6719,0.6719]
area_under_roc_curve
0.637681 [0.637681,0.637681]
area_under_roc_curve
0.704509 [0.704509,0.704509]
area_under_roc_curve
0.59798 [0.59798,0.59798]
area_under_roc_curve
0.552525 [0.552525,0.552525]
area_under_roc_curve
0.527778 [0.527778,0.527778]
area_under_roc_curve
0.624242 [0.624242,0.624242]
area_under_roc_curve
0.60467 [0.60467,0.60467]
area_under_roc_curve
0.613124 [0.613124,0.613124]
area_under_roc_curve
0.623591 [0.623591,0.623591]
area_under_roc_curve
0.513688 [0.513688,0.513688]
area_under_roc_curve
0.612721 [0.612721,0.612721]
area_under_roc_curve
0.575684 [0.575684,0.575684]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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
0.549592 [0.505495,0.587156]
f_measure
0.599192 [0.555556,0.636364]
f_measure
0.47703 [0.395349,0.54386]
f_measure
0.51903 [0.466667,0.563636]
f_measure
0.637944 [0.581395,0.684211]
f_measure
0.610977 [0.589474,0.628571]
f_measure
0.591028 [0.568421,0.609524]
f_measure
0.630781 [0.602151,0.654206]
f_measure
0.710263 [0.681319,0.733945]
f_measure
0.630781 [0.602151,0.654206]
f_measure
0.589628 [0.549451,0.623853]
f_measure
0.565381 [0.494118,0.626087]
f_measure
0.628532 [0.574713,0.672566]
f_measure
0.530331 [0.494624,0.560748]
f_measure
0.669633 [0.629213,0.702703]
f_measure
0.670827 [0.652632,0.685714]
f_measure
0.680769 [0.666667,0.692308]
f_measure
0.596059 [0.52381,0.655172]
f_measure
0.68877 [0.643678,0.725664]
f_measure
0.64058 [0.608696,0.666667]
f_measure
0.68795 [0.643678,0.725664]
f_measure
0.560705 [0.541667,0.576923]
f_measure
0.640865 [0.625,0.653846]
f_measure
0.690466 [0.673684,0.704762]
f_measure
0.600644 [0.565217,0.62963]
f_measure
0.589543 [0.539326,0.630631]
f_measure
0.59904 [0.607843,0.591837]
f_measure
0.521156 [0.489362,0.54717]
f_measure
0.650739 [0.623656,0.672897]
f_measure
0.690654 [0.666667,0.71028]
f_measure
0.564731 [0.481928,0.632479]
f_measure
0.62 [0.577778,0.654545]
f_measure
0.521156 [0.489362,0.54717]
f_measure
0.740626 [0.723404,0.754717]
f_measure
0.62 [0.577778,0.654545]
f_measure
0.647315 [0.588235,0.695652]
f_measure
0.637944 [0.581395,0.684211]
f_measure
0.609566 [0.561798,0.648649]
f_measure
0.640867 [0.617021,0.660377]
f_measure
0.64961 [0.606742,0.684685]
f_measure
0.588374 [0.528736,0.637168]
f_measure
0.53888 [0.477273,0.589286]
f_measure
0.569521 [0.516854,0.612613]
f_measure
0.770576 [0.757895,0.780952]
f_measure
0.640867 [0.617021,0.660377]
f_measure
0.549505 [0.554455,0.545455]
f_measure
0.760578 [0.744681,0.773585]
f_measure
0.680512 [0.673469,0.686275]
f_measure
0.629588 [0.58427,0.666667]
f_measure
0.600963 [0.574468,0.622642]
f_measure
0.619075 [0.568182,0.660714]
f_measure
0.64058 [0.608696,0.666667]
f_measure
0.582726 [0.493827,0.655462]
f_measure
0.710263 [0.681319,0.733945]
f_measure
0.57039 [0.527473,0.605505]
f_measure
0.584976 [0.506024,0.649573]
f_measure
0.720674 [0.702128,0.735849]
f_measure
0.673333 [0.6,0.733333]
f_measure
0.650318 [0.615385,0.678899]
f_measure
0.719318 [0.681818,0.75]
f_measure
0.610823 [0.580645,0.635514]
f_measure
0.630336 [0.593407,0.66055]
f_measure
0.51103 [0.494845,0.524272]
f_measure
0.61082 [0.597938,0.621359]
f_measure
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f_measure
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f_measure
0.548243 [0.563107,0.536082]
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
0.690281 [0.659341,0.715596]
f_measure
0.56053 [0.531915,0.584906]
f_measure
0.627554 [0.574713,0.672566]
f_measure
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f_measure
0.789809 [0.769231,0.807339]
f_measure
0.677258 [0.627907,0.719298]
f_measure
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f_measure
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f_measure
0.630336 [0.593407,0.66055]
f_measure
0.589628 [0.549451,0.623853]
f_measure
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f_measure
0.549595 [0.554455,0.545455]
f_measure
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f_measure
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f_measure
0.670495 [0.659794,0.679612]
f_measure
0.64 [0.608696,0.666667]
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
0.627554 [0.574713,0.672566]
f_measure
0.517662 [0.454545,0.571429]
f_measure
0.616744 [0.55814,0.666667]
f_measure
0.579152 [0.533333,0.618182]
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.173387
kappa
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kappa
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kappa
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kappa
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kappa
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0.232323
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kappa
0.285714
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0.210526
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kappa
0.291498
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0.166667
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0.066937
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kappa
0.278557
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0.110672
kappa
0.519038
kappa
0.363817
kappa
0.251012
kappa
0.198397
kappa
0.229209
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0.275654
kappa
0.156379
kappa
0.415323
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0.133065
kappa
0.159836
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0.438878
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0.340206
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0.294355
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0.432049
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0.216867
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0.254032
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0.023904
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0.223108
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0.188641
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0.310345
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0.114173
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0.26
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0.367347
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0.278557
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0.227642
kappa
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kappa
0.117175
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0.249188
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0.476651
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0.576613
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0.349593
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0.396135
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0.429735
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0.254032
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0.107143
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0.258814
kappa
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kappa
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0.275362
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0.403816
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kappa
0.107884
kappa
0.055466
kappa
0.244533
kappa
0.214876
kappa
0.223726
kappa
0.249188
kappa
0.027553
kappa
0.227642
kappa
0.151858
kb_relative_information_score
9.035275
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.95838
kb_relative_information_score
26.992737
kb_relative_information_score
20.915843
kb_relative_information_score
16.86458
kb_relative_information_score
24.967106
kb_relative_information_score
41.172158
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24.967106
kb_relative_information_score
17.137801
kb_relative_information_score
13.086538
kb_relative_information_score
24.967106
kb_relative_information_score
4.984012
kb_relative_information_score
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kb_relative_information_score
33.069632
kb_relative_information_score
35.095263
kb_relative_information_score
18.890211
kb_relative_information_score
37.120895
kb_relative_information_score
26.992737
kb_relative_information_score
37.394115
kb_relative_information_score
11.060906
kb_relative_information_score
26.992737
kb_relative_information_score
37.394115
kb_relative_information_score
18.890211
kb_relative_information_score
16.86458
kb_relative_information_score
18.890211
kb_relative_information_score
2.68516
kb_relative_information_score
29.018369
kb_relative_information_score
37.120895
kb_relative_information_score
12.813317
kb_relative_information_score
22.941474
kb_relative_information_score
2.68516
kb_relative_information_score
47.249052
kb_relative_information_score
22.941474
kb_relative_information_score
29.018369
kb_relative_information_score
26.992737
kb_relative_information_score
20.915843
kb_relative_information_score
26.992737
kb_relative_information_score
29.018369
kb_relative_information_score
16.86458
kb_relative_information_score
6.736423
kb_relative_information_score
12.813317
kb_relative_information_score
53.325947
kb_relative_information_score
26.992737
kb_relative_information_score
8.762054
kb_relative_information_score
51.300315
kb_relative_information_score
35.095263
kb_relative_information_score
24.967106
kb_relative_information_score
18.890211
kb_relative_information_score
22.941474
kb_relative_information_score
26.992737
kb_relative_information_score
16.86458
kb_relative_information_score
41.172158
kb_relative_information_score
12.813317
kb_relative_information_score
16.86458
kb_relative_information_score
43.197789
kb_relative_information_score
35.095263
kb_relative_information_score
29.018369
kb_relative_information_score
43.197789
kb_relative_information_score
20.915843
kb_relative_information_score
24.967106
kb_relative_information_score
0.659528
kb_relative_information_score
20.915843
kb_relative_information_score
18.890211
kb_relative_information_score
31.044
kb_relative_information_score
8.762054
kb_relative_information_score
24.967106
kb_relative_information_score
-1.366103
kb_relative_information_score
37.120895
kb_relative_information_score
37.120895
kb_relative_information_score
26.992737
kb_relative_information_score
23.214695
kb_relative_information_score
37.120895
kb_relative_information_score
11.060906
kb_relative_information_score
25.240327
kb_relative_information_score
47.522273
kb_relative_information_score
57.65043
kb_relative_information_score
35.368484
kb_relative_information_score
39.419747
kb_relative_information_score
43.197789
kb_relative_information_score
24.967106
kb_relative_information_score
17.137801
kb_relative_information_score
26.992737
kb_relative_information_score
9.035275
kb_relative_information_score
25.240327
kb_relative_information_score
47.522273
kb_relative_information_score
33.342852
kb_relative_information_score
27.265958
kb_relative_information_score
39.419747
kb_relative_information_score
18.890211
kb_relative_information_score
12.813317
kb_relative_information_score
4.984012
kb_relative_information_score
22.941474
kb_relative_information_score
23.214695
kb_relative_information_score
21.189064
kb_relative_information_score
25.240327
kb_relative_information_score
2.95838
kb_relative_information_score
23.214695
kb_relative_information_score
15.112169
mean_absolute_error
0.45
mean_absolute_error
0.4
mean_absolute_error
0.52
mean_absolute_error
0.48
mean_absolute_error
0.36
mean_absolute_error
0.39
mean_absolute_error
0.41
mean_absolute_error
0.37
mean_absolute_error
0.29
mean_absolute_error
0.37
mean_absolute_error
0.41
mean_absolute_error
0.43
mean_absolute_error
0.37
mean_absolute_error
0.47
mean_absolute_error
0.33
mean_absolute_error
0.33
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.31
mean_absolute_error
0.36
mean_absolute_error
0.31
mean_absolute_error
0.44
mean_absolute_error
0.36
mean_absolute_error
0.31
mean_absolute_error
0.4
mean_absolute_error
0.41
mean_absolute_error
0.4
mean_absolute_error
0.48
mean_absolute_error
0.35
mean_absolute_error
0.31
mean_absolute_error
0.43
mean_absolute_error
0.38
mean_absolute_error
0.48
mean_absolute_error
0.26
mean_absolute_error
0.38
mean_absolute_error
0.35
mean_absolute_error
0.36
mean_absolute_error
0.39
mean_absolute_error
0.36
mean_absolute_error
0.35
mean_absolute_error
0.41
mean_absolute_error
0.46
mean_absolute_error
0.43
mean_absolute_error
0.23
mean_absolute_error
0.36
mean_absolute_error
0.45
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.37
mean_absolute_error
0.4
mean_absolute_error
0.38
mean_absolute_error
0.36
mean_absolute_error
0.41
mean_absolute_error
0.29
mean_absolute_error
0.43
mean_absolute_error
0.41
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.35
mean_absolute_error
0.28
mean_absolute_error
0.39
mean_absolute_error
0.37
mean_absolute_error
0.49
mean_absolute_error
0.39
mean_absolute_error
0.4
mean_absolute_error
0.34
mean_absolute_error
0.45
mean_absolute_error
0.37
mean_absolute_error
0.5
mean_absolute_error
0.31
mean_absolute_error
0.31
mean_absolute_error
0.36
mean_absolute_error
0.38
mean_absolute_error
0.31
mean_absolute_error
0.44
mean_absolute_error
0.37
mean_absolute_error
0.26
mean_absolute_error
0.21
mean_absolute_error
0.32
mean_absolute_error
0.3
mean_absolute_error
0.28
mean_absolute_error
0.37
mean_absolute_error
0.41
mean_absolute_error
0.36
mean_absolute_error
0.45
mean_absolute_error
0.37
mean_absolute_error
0.26
mean_absolute_error
0.33
mean_absolute_error
0.36
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.43
mean_absolute_error
0.47
mean_absolute_error
0.38
mean_absolute_error
0.38
mean_absolute_error
0.39
mean_absolute_error
0.37
mean_absolute_error
0.48
mean_absolute_error
0.38
mean_absolute_error
0.42
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.495309
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
mean_prior_absolute_error
0.496248
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [45,55]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
number_of_instances
100 [46,54]
precision
0.549293 [0.511111,0.581818]
precision
0.598864 [0.568182,0.625]
precision
0.475568 [0.414634,0.525424]
precision
0.518474 [0.477273,0.553571]
precision
0.63795 [0.609756,0.661017]
precision
0.615 [0.56,0.66]
precision
0.595 [0.54,0.64]
precision
0.632692 [0.583333,0.673077]
precision
0.710668 [0.673913,0.740741]
precision
0.632692 [0.583333,0.673077]
precision
0.589374 [0.555556,0.618182]
precision
0.566381 [0.538462,0.590164]
precision
0.628202 [0.595238,0.655172]
precision
0.530767 [0.489362,0.566038]
precision
0.669399 [0.636364,0.696429]
precision
0.675 [0.62,0.72]
precision
0.686435 [0.627451,0.734694]
precision
0.596469 [0.564103,0.622951]
precision
0.688793 [0.666667,0.706897]
precision
0.64167 [0.595745,0.679245]
precision
0.689401 [0.682927,0.694915]
precision
0.5632 [0.52,0.6]
precision
0.646339 [0.588235,0.693878]
precision
0.692173 [0.653061,0.72549]
precision
0.601766 [0.553191,0.641509]
precision
0.589205 [0.545455,0.625]
precision
0.615667 [0.54386,0.674419]
precision
0.52397 [0.469388,0.568627]
precision
0.652644 [0.604167,0.692308]
precision
0.692548 [0.645833,0.730769]
precision
0.565068 [0.526316,0.596774]
precision
0.62 [0.577778,0.654545]
precision
0.52397 [0.469388,0.568627]
precision
0.743617 [0.693878,0.784314]
precision
0.62 [0.577778,0.654545]
precision
0.647917 [0.625,0.666667]
precision
0.63795 [0.609756,0.661017]
precision
0.609253 [0.568182,0.642857]
precision
0.643778 [0.591837,0.686275]
precision
0.649351 [0.613636,0.678571]
precision
0.587808 [0.547619,0.62069]
precision
0.538188 [0.488372,0.578947]
precision
0.569156 [0.522727,0.607143]
precision
0.775 [0.72,0.82]
precision
0.643778 [0.591837,0.686275]
precision
0.5625 [0.5,0.613636]
precision
0.763585 [0.714286,0.803922]
precision
0.689763 [0.622642,0.744681]
precision
0.629302 [0.590909,0.660714]
precision
0.603842 [0.55102,0.647059]
precision
0.618645 [0.581395,0.649123]
precision
0.64167 [0.595745,0.679245]
precision
0.585156 [0.555556,0.609375]
precision
0.710668 [0.673913,0.740741]
precision
0.570894 [0.521739,0.611111]
precision
0.585781 [0.552632,0.612903]
precision
0.723649 [0.673469,0.764706]
precision
0.680879 [0.685714,0.676923]
precision
0.650765 [0.608696,0.685185]
precision
0.719217 [0.697674,0.736842]
precision
0.61274 [0.5625,0.653846]
precision
0.630797 [0.586957,0.666667]
precision
0.517067 [0.461538,0.5625]
precision
0.617628 [0.557692,0.666667]
precision
0.598531 [0.55814,0.631579]
precision
0.658874 [0.627907,0.684211]
precision
0.565476 [0.5,0.619048]
precision
0.635 [0.58,0.68]
precision
0.5 [0.444444,0.545455]
precision
0.698077 [0.634615,0.75]
precision
0.68875 [0.675,0.7]
precision
0.643778 [0.591837,0.686275]
precision
0.618 [0.6,0.633333]
precision
0.6907 [0.652174,0.722222]
precision
0.561506 [0.520833,0.596154]
precision
0.628284 [0.609756,0.644068]
precision
0.74 [0.717391,0.759259]
precision
0.789778 [0.777778,0.8]
precision
0.6795 [0.675,0.683333]
precision
0.7 [0.673913,0.722222]
precision
0.71914 [0.707317,0.728814]
precision
0.630797 [0.586957,0.666667]
precision
0.589374 [0.555556,0.618182]
precision
0.63795 [0.609756,0.661017]
precision
0.558182 [0.509091,0.6]
precision
0.632245 [0.591837,0.666667]
precision
0.7432 [0.7,0.78]
precision
0.674342 [0.627451,0.714286]
precision
0.64 [0.608696,0.666667]
precision
0.709018 [0.648148,0.76087]
precision
0.601766 [0.553191,0.641509]
precision
0.562592 [0.53125,0.588235]
precision
0.530767 [0.489362,0.566038]
precision
0.629185 [0.566038,0.680851]
precision
0.623048 [0.633333,0.614286]
precision
0.616548 [0.566038,0.659574]
precision
0.628284 [0.609756,0.644068]
precision
0.516979 [0.47619,0.551724]
precision
0.618 [0.6,0.633333]
precision
0.578766 [0.545455,0.607143]
predictive_accuracy
0.55
predictive_accuracy
0.6
predictive_accuracy
0.48
predictive_accuracy
0.52
predictive_accuracy
0.64
predictive_accuracy
0.61
predictive_accuracy
0.59
predictive_accuracy
0.63
predictive_accuracy
0.71
predictive_accuracy
0.63
predictive_accuracy
0.59
predictive_accuracy
0.57
predictive_accuracy
0.63
predictive_accuracy
0.53
predictive_accuracy
0.67
predictive_accuracy
0.67
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.69
predictive_accuracy
0.64
predictive_accuracy
0.69
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.69
predictive_accuracy
0.6
predictive_accuracy
0.59
predictive_accuracy
0.6
predictive_accuracy
0.52
predictive_accuracy
0.65
predictive_accuracy
0.69
predictive_accuracy
0.57
predictive_accuracy
0.62
predictive_accuracy
0.52
predictive_accuracy
0.74
predictive_accuracy
0.62
predictive_accuracy
0.65
predictive_accuracy
0.64
predictive_accuracy
0.61
predictive_accuracy
0.64
predictive_accuracy
0.65
predictive_accuracy
0.59
predictive_accuracy
0.54
predictive_accuracy
0.57
predictive_accuracy
0.77
predictive_accuracy
0.64
predictive_accuracy
0.55
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.63
predictive_accuracy
0.6
predictive_accuracy
0.62
predictive_accuracy
0.64
predictive_accuracy
0.59
predictive_accuracy
0.71
predictive_accuracy
0.57
predictive_accuracy
0.59
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.65
predictive_accuracy
0.72
predictive_accuracy
0.61
predictive_accuracy
0.63
predictive_accuracy
0.51
predictive_accuracy
0.61
predictive_accuracy
0.6
predictive_accuracy
0.66
predictive_accuracy
0.55
predictive_accuracy
0.63
predictive_accuracy
0.5
predictive_accuracy
0.69
predictive_accuracy
0.69
predictive_accuracy
0.64
predictive_accuracy
0.62
predictive_accuracy
0.69
predictive_accuracy
0.56
predictive_accuracy
0.63
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.72
predictive_accuracy
0.63
predictive_accuracy
0.59
predictive_accuracy
0.64
predictive_accuracy
0.55
predictive_accuracy
0.63
predictive_accuracy
0.74
predictive_accuracy
0.67
predictive_accuracy
0.64
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.57
predictive_accuracy
0.53
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.61
predictive_accuracy
0.63
predictive_accuracy
0.52
predictive_accuracy
0.62
predictive_accuracy
0.58
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
prior_entropy
0.993642
recall
0.55 [0.5,0.592593]
recall
0.6 [0.543478,0.648148]
recall
0.48 [0.377778,0.563636]
recall
0.52 [0.456522,0.574074]
recall
0.64 [0.555556,0.709091]
recall
0.61 [0.622222,0.6]
recall
0.59 [0.6,0.581818]
recall
0.63 [0.622222,0.636364]
recall
0.71 [0.688889,0.727273]
recall
0.63 [0.622222,0.636364]
recall
0.59 [0.543478,0.62963]
recall
0.57 [0.456522,0.666667]
recall
0.63 [0.555556,0.690909]
recall
0.53 [0.5,0.555556]
recall
0.67 [0.622222,0.709091]
recall
0.67 [0.688889,0.654545]
recall
0.68 [0.711111,0.654545]
recall
0.6 [0.488889,0.690909]
recall
0.69 [0.622222,0.745455]
recall
0.64 [0.622222,0.654545]
recall
0.69 [0.608696,0.759259]
recall
0.56 [0.565217,0.555556]
recall
0.64 [0.666667,0.618182]
recall
0.69 [0.695652,0.685185]
recall
0.6 [0.577778,0.618182]
recall
0.59 [0.533333,0.636364]
recall
0.6 [0.688889,0.527273]
recall
0.52 [0.511111,0.527273]
recall
0.65 [0.644444,0.654545]
recall
0.69 [0.688889,0.690909]
recall
0.57 [0.444444,0.672727]
recall
0.62 [0.577778,0.654545]
recall
0.52 [0.511111,0.527273]
recall
0.74 [0.755556,0.727273]
recall
0.62 [0.577778,0.654545]
recall
0.65 [0.555556,0.727273]
recall
0.64 [0.555556,0.709091]
recall
0.61 [0.555556,0.654545]
recall
0.64 [0.644444,0.636364]
recall
0.65 [0.6,0.690909]
recall
0.59 [0.511111,0.654545]
recall
0.54 [0.466667,0.6]
recall
0.57 [0.511111,0.618182]
recall
0.77 [0.8,0.745455]
recall
0.64 [0.644444,0.636364]
recall
0.55 [0.622222,0.490909]
recall
0.76 [0.777778,0.745455]
recall
0.68 [0.733333,0.636364]
recall
0.63 [0.577778,0.672727]
recall
0.6 [0.6,0.6]
recall
0.62 [0.555556,0.672727]
recall
0.64 [0.622222,0.654545]
recall
0.59 [0.444444,0.709091]
recall
0.71 [0.688889,0.727273]
recall
0.57 [0.533333,0.6]
recall
0.59 [0.466667,0.690909]
recall
0.72 [0.733333,0.709091]
recall
0.68 [0.533333,0.8]
recall
0.65 [0.622222,0.672727]
recall
0.72 [0.666667,0.763636]
recall
0.61 [0.6,0.618182]
recall
0.63 [0.6,0.654545]
recall
0.51 [0.533333,0.490909]
recall
0.61 [0.644444,0.581818]
recall
0.6 [0.533333,0.654545]
recall
0.66 [0.6,0.709091]
recall
0.55 [0.644444,0.472727]
recall
0.63 [0.644444,0.618182]
recall
0.5 [0.444444,0.545455]
recall
0.69 [0.733333,0.654545]
recall
0.69 [0.6,0.763636]
recall
0.64 [0.644444,0.636364]
recall
0.62 [0.521739,0.703704]
recall
0.69 [0.666667,0.709091]
recall
0.56 [0.543478,0.574074]
recall
0.63 [0.543478,0.703704]
recall
0.74 [0.717391,0.759259]
recall
0.79 [0.76087,0.814815]
recall
0.68 [0.586957,0.759259]
recall
0.7 [0.673913,0.722222]
recall
0.72 [0.644444,0.781818]
recall
0.63 [0.6,0.654545]
recall
0.59 [0.543478,0.62963]
recall
0.64 [0.555556,0.709091]
recall
0.55 [0.608696,0.5]
recall
0.63 [0.630435,0.62963]
recall
0.74 [0.76087,0.722222]
recall
0.67 [0.695652,0.648148]
recall
0.64 [0.608696,0.666667]
recall
0.7 [0.76087,0.648148]
recall
0.6 [0.577778,0.618182]
recall
0.57 [0.377778,0.727273]
recall
0.53 [0.5,0.555556]
recall
0.62 [0.666667,0.581818]
recall
0.62 [0.413043,0.796296]
recall
0.61 [0.652174,0.574074]
recall
0.63 [0.543478,0.703704]
recall
0.52 [0.434783,0.592593]
recall
0.62 [0.521739,0.703704]
recall
0.58 [0.521739,0.62963]
relative_absolute_error
0.906806
relative_absolute_error
0.806049
relative_absolute_error
1.049849
relative_absolute_error
0.967259
relative_absolute_error
0.726818
relative_absolute_error
0.787387
relative_absolute_error
0.827765
relative_absolute_error
0.747008
relative_absolute_error
0.585493
relative_absolute_error
0.747008
relative_absolute_error
0.826201
relative_absolute_error
0.866503
relative_absolute_error
0.747008
relative_absolute_error
0.947108
relative_absolute_error
0.66625
relative_absolute_error
0.66625
relative_absolute_error
0.646061
relative_absolute_error
0.807576
relative_absolute_error
0.625871
relative_absolute_error
0.726818
relative_absolute_error
0.624688
relative_absolute_error
0.886654
relative_absolute_error
0.726818
relative_absolute_error
0.624688
relative_absolute_error
0.807576
relative_absolute_error
0.827765
relative_absolute_error
0.807576
relative_absolute_error
0.969091
relative_absolute_error
0.706629
relative_absolute_error
0.625871
relative_absolute_error
0.868144
relative_absolute_error
0.767197
relative_absolute_error
0.969091
relative_absolute_error
0.524924
relative_absolute_error
0.767197
relative_absolute_error
0.706629
relative_absolute_error
0.726818
relative_absolute_error
0.787387
relative_absolute_error
0.726818
relative_absolute_error
0.706629
relative_absolute_error
0.827765
relative_absolute_error
0.928712
relative_absolute_error
0.868144
relative_absolute_error
0.464356
relative_absolute_error
0.726818
relative_absolute_error
0.908523
relative_absolute_error
0.484546
relative_absolute_error
0.646061
relative_absolute_error
0.747008
relative_absolute_error
0.807576
relative_absolute_error
0.767197
relative_absolute_error
0.726818
relative_absolute_error
0.827765
relative_absolute_error
0.585493
relative_absolute_error
0.868144
relative_absolute_error
0.827765
relative_absolute_error
0.565303
relative_absolute_error
0.646061
relative_absolute_error
0.706629
relative_absolute_error
0.565303
relative_absolute_error
0.787387
relative_absolute_error
0.747008
relative_absolute_error
0.989281
relative_absolute_error
0.787387
relative_absolute_error
0.807576
relative_absolute_error
0.68644
relative_absolute_error
0.908523
relative_absolute_error
0.747008
relative_absolute_error
1.00947
relative_absolute_error
0.625871
relative_absolute_error
0.625871
relative_absolute_error
0.726818
relative_absolute_error
0.765747
relative_absolute_error
0.625871
relative_absolute_error
0.886654
relative_absolute_error
0.745596
relative_absolute_error
0.523932
relative_absolute_error
0.423176
relative_absolute_error
0.64484
relative_absolute_error
0.604537
relative_absolute_error
0.565303
relative_absolute_error
0.747008
relative_absolute_error
0.826201
relative_absolute_error
0.726818
relative_absolute_error
0.906806
relative_absolute_error
0.745596
relative_absolute_error
0.523932
relative_absolute_error
0.664991
relative_absolute_error
0.725444
relative_absolute_error
0.604537
relative_absolute_error
0.807576
relative_absolute_error
0.868144
relative_absolute_error
0.947108
relative_absolute_error
0.767197
relative_absolute_error
0.765747
relative_absolute_error
0.785898
relative_absolute_error
0.745596
relative_absolute_error
0.967259
relative_absolute_error
0.765747
relative_absolute_error
0.846352
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.497503
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_prior_squared_error
0.498445
root_mean_squared_error
0.67082
root_mean_squared_error
0.632456
root_mean_squared_error
0.72111
root_mean_squared_error
0.69282
root_mean_squared_error
0.6
root_mean_squared_error
0.6245
root_mean_squared_error
0.640312
root_mean_squared_error
0.608276
root_mean_squared_error
0.538516
root_mean_squared_error
0.608276
root_mean_squared_error
0.640312
root_mean_squared_error
0.655744
root_mean_squared_error
0.608276
root_mean_squared_error
0.685565
root_mean_squared_error
0.574456
root_mean_squared_error
0.574456
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.556776
root_mean_squared_error
0.6
root_mean_squared_error
0.556776
root_mean_squared_error
0.663325
root_mean_squared_error
0.6
root_mean_squared_error
0.556776
root_mean_squared_error
0.632456
root_mean_squared_error
0.640312
root_mean_squared_error
0.632456
root_mean_squared_error
0.69282
root_mean_squared_error
0.591608
root_mean_squared_error
0.556776
root_mean_squared_error
0.655744
root_mean_squared_error
0.616441
root_mean_squared_error
0.69282
root_mean_squared_error
0.509902
root_mean_squared_error
0.616441
root_mean_squared_error
0.591608
root_mean_squared_error
0.6
root_mean_squared_error
0.6245
root_mean_squared_error
0.6
root_mean_squared_error
0.591608
root_mean_squared_error
0.640312
root_mean_squared_error
0.678233
root_mean_squared_error
0.655744
root_mean_squared_error
0.479583
root_mean_squared_error
0.6
root_mean_squared_error
0.67082
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.608276
root_mean_squared_error
0.632456
root_mean_squared_error
0.616441
root_mean_squared_error
0.6
root_mean_squared_error
0.640312
root_mean_squared_error
0.538516
root_mean_squared_error
0.655744
root_mean_squared_error
0.640312
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.591608
root_mean_squared_error
0.52915
root_mean_squared_error
0.6245
root_mean_squared_error
0.608276
root_mean_squared_error
0.7
root_mean_squared_error
0.6245
root_mean_squared_error
0.632456
root_mean_squared_error
0.583095
root_mean_squared_error
0.67082
root_mean_squared_error
0.608276
root_mean_squared_error
0.707107
root_mean_squared_error
0.556776
root_mean_squared_error
0.556776
root_mean_squared_error
0.6
root_mean_squared_error
0.616441
root_mean_squared_error
0.556776
root_mean_squared_error
0.663325
root_mean_squared_error
0.608276
root_mean_squared_error
0.509902
root_mean_squared_error
0.458258
root_mean_squared_error
0.565685
root_mean_squared_error
0.547723
root_mean_squared_error
0.52915
root_mean_squared_error
0.608276
root_mean_squared_error
0.640312
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