386663
2
Joaquin Vanschoren
4432
Supervised Classification
predictive_accuracy
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
weka
weka_3.7.12
863
fri_c4_250_10
https://www.openml.org/data/download/53397/fri_c4_250_10.arff
-1
1349006
description
https://api.openml.org/data/download/1349006/weka_generated_run4911326230627471902.xml
-1
1349009
model_readable
https://api.openml.org/data/download/1349009/WekaModel_weka.classifiers.trees.RandomForest5457223232909239386.model
-1
1349008
model_serialized
https://api.openml.org/data/download/1349008/WekaSerialized_weka.classifiers.trees.RandomForest8994147830713127757.model
-1
1349007
predictions
https://api.openml.org/data/download/1349007/weka_generated_predictions3574978587770445658.arff
area_under_roc_curve
0.928608 [0.928608,0.928608]
average_cost
0
f_measure
0.844887 [0.83601,0.852696]
kappa
0.688739
kb_relative_information_score
1221.962997
mean_absolute_error
0.274056
mean_prior_absolute_error
0.497968
number_of_instances
2500 [1170,1330]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.845156 [0.826923,0.861196]
predictive_accuracy
0.8448
prior_entropy
0.99709
recall
0.8448 [0.845299,0.844361]
relative_absolute_error
0.550348
root_mean_prior_squared_error
0.498975
root_mean_squared_error
0.339451
root_relative_squared_error
0.680297
scimark_benchmark
935.627048 [554.431243089541, 985.6547740150851, 482.3638387076229, 905.818919013148, 1749.8664669073971]
total_cost
0
usercpu_time_millis
70
usercpu_time_millis_testing
10
usercpu_time_millis_training
60
area_under_roc_curve
0.850649 [0.850649,0.850649]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.896104 [0.896104,0.896104]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.983766 [0.983766,0.983766]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.942308 [0.942308,0.942308]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.971154 [0.971154,0.971154]
area_under_roc_curve
0.811688 [0.811688,0.811688]
area_under_roc_curve
0.766234 [0.766234,0.766234]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.88961 [0.88961,0.88961]
area_under_roc_curve
0.964286 [0.964286,0.964286]
area_under_roc_curve
0.926282 [0.926282,0.926282]
area_under_roc_curve
0.99359 [0.99359,0.99359]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.820513 [0.820513,0.820513]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.993506 [0.993506,0.993506]
area_under_roc_curve
0.88961 [0.88961,0.88961]
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.996753 [0.996753,0.996753]
area_under_roc_curve
0.977564 [0.977564,0.977564]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.827922 [0.827922,0.827922]
area_under_roc_curve
0.974359 [0.974359,0.974359]
area_under_roc_curve
0.942308 [0.942308,0.942308]
area_under_roc_curve
0.852564 [0.852564,0.852564]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.88141 [0.88141,0.88141]
area_under_roc_curve
0.951923 [0.951923,0.951923]
area_under_roc_curve
0.964744 [0.964744,0.964744]
area_under_roc_curve
0.858974 [0.858974,0.858974]
area_under_roc_curve
0.955128 [0.955128,0.955128]
area_under_roc_curve
0.967949 [0.967949,0.967949]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
0.900641 [0.900641,0.900641]
area_under_roc_curve
0.913462 [0.913462,0.913462]
area_under_roc_curve
0.894231 [0.894231,0.894231]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.862179 [0.862179,0.862179]
area_under_roc_curve
0.996795 [0.996795,0.996795]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.961538 [0.961538,0.961538]
area_under_roc_curve
0.907051 [0.907051,0.907051]
area_under_roc_curve
0.955128 [0.955128,0.955128]
area_under_roc_curve
0.891026 [0.891026,0.891026]
area_under_roc_curve
0.942308 [0.942308,0.942308]
area_under_roc_curve
0.939103 [0.939103,0.939103]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.900641 [0.900641,0.900641]
area_under_roc_curve
0.935897 [0.935897,0.935897]
area_under_roc_curve
0.967949 [0.967949,0.967949]
area_under_roc_curve
0.894231 [0.894231,0.894231]
area_under_roc_curve
0.99359 [0.99359,0.99359]
area_under_roc_curve
0.996795 [0.996795,0.996795]
area_under_roc_curve
0.948718 [0.948718,0.948718]
area_under_roc_curve
0.903846 [0.903846,0.903846]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
0.935897 [0.935897,0.935897]
area_under_roc_curve
0.919872 [0.919872,0.919872]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.967949 [0.967949,0.967949]
area_under_roc_curve
0.830128 [0.830128,0.830128]
area_under_roc_curve
0.923077 [0.923077,0.923077]
area_under_roc_curve
0.894231 [0.894231,0.894231]
area_under_roc_curve
0.974359 [0.974359,0.974359]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.909091 [0.909091,0.909091]
area_under_roc_curve
0.944805 [0.944805,0.944805]
area_under_roc_curve
0.919872 [0.919872,0.919872]
area_under_roc_curve
0.896104 [0.896104,0.896104]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.935897 [0.935897,0.935897]
area_under_roc_curve
0.974359 [0.974359,0.974359]
area_under_roc_curve
0.948718 [0.948718,0.948718]
area_under_roc_curve
0.884615 [0.884615,0.884615]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
0.905844 [0.905844,0.905844]
area_under_roc_curve
0.88141 [0.88141,0.88141]
area_under_roc_curve
0.948052 [0.948052,0.948052]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.974359 [0.974359,0.974359]
area_under_roc_curve
0.987179 [0.987179,0.987179]
area_under_roc_curve
0.900641 [0.900641,0.900641]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.961538 [0.961538,0.961538]
area_under_roc_curve
0.938312 [0.938312,0.938312]
area_under_roc_curve
0.857143 [0.857143,0.857143]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
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average_cost
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0
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average_cost
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average_cost
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0
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0
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0
average_cost
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0
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0
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0
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0
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0
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0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8 [0.8,0.8]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.756 [0.7,0.8]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.88 [0.88,0.88]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.88 [0.88,0.88]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.798068 [0.814815,0.782609]
f_measure
0.88 [0.88,0.88]
f_measure
0.628998 [0.526316,0.709677]
f_measure
0.64 [0.64,0.64]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.760769 [0.75,0.769231]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.839487 [0.846154,0.833333]
f_measure
0.959871 [0.956522,0.962963]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.678974 [0.692308,0.666667]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.837333 [0.8,0.866667]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.96 [0.96,0.96]
f_measure
0.789813 [0.736842,0.83871]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.88 [0.88,0.88]
f_measure
0.76 [0.75,0.769231]
f_measure
0.88 [0.88,0.88]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.88 [0.88,0.88]
f_measure
0.717295 [0.740741,0.695652]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.92 [0.916667,0.923077]
f_measure
0.879614 [0.869565,0.888889]
f_measure
1 [1,1]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.798068 [0.814815,0.782609]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.8 [0.8,0.8]
f_measure
0.757662 [0.727273,0.785714]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.96 [0.96,0.96]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.76 [0.75,0.769231]
f_measure
0.88 [0.88,0.88]
f_measure
0.76 [0.75,0.769231]
f_measure
0.8 [0.8,0.8]
f_measure
0.839487 [0.846154,0.833333]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.919221 [0.909091,0.928571]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.877635 [0.857143,0.896552]
f_measure
0.959871 [0.956522,0.962963]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.878841 [0.888889,0.869565]
f_measure
0.796059 [0.761905,0.827586]
f_measure
0.796059 [0.761905,0.827586]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.798068 [0.814815,0.782609]
f_measure
0.92 [0.916667,0.923077]
f_measure
0.796059 [0.761905,0.827586]
f_measure
0.8 [0.8,0.8]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.839487 [0.846154,0.833333]
f_measure
0.959871 [0.956522,0.962963]
f_measure
0.719098 [0.695652,0.740741]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.878841 [0.888889,0.869565]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.878841 [0.888889,0.869565]
f_measure
0.96 [0.96,0.96]
f_measure
0.836883 [0.857143,0.818182]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.8 [0.8,0.8]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.96 [0.96,0.96]
f_measure
0.877635 [0.857143,0.896552]
f_measure
0.919221 [0.909091,0.928571]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.834667 [0.8,0.866667]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.88 [0.88,0.88]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.76 [0.727273,0.785714]
kappa
0.605678
kappa
0.837662
kappa
0.503311
kappa
0.590164
kappa
0.763407
kappa
0.679487
kappa
0.760383
kappa
0.675325
kappa
0.603175
kappa
0.760383
kappa
0.247492
kappa
0.290221
kappa
0.681529
kappa
0.522293
kappa
0.675325
kappa
0.681529
kappa
0.919614
kappa
0.493243
kappa
0.363057
kappa
0.679487
kappa
0.918033
kappa
0.668874
kappa
0.681529
kappa
0.837662
kappa
0.919614
kappa
0.920128
kappa
0.592834
kappa
0.598071
kappa
0.758842
kappa
0.760383
kappa
0.519231
kappa
0.760383
kappa
0.677419
kappa
0.598071
kappa
0.760383
kappa
0.444444
kappa
0.840764
kappa
0.839744
kappa
0.758842
kappa
1
kappa
0.840764
kappa
0.603175
kappa
0.758842
kappa
0.598071
kappa
0.600639
kappa
0.516129
kappa
0.522293
kappa
0.920128
kappa
0.758842
kappa
0.677419
kappa
0.519231
kappa
0.760383
kappa
0.519231
kappa
0.600639
kappa
0.681529
kappa
1
kappa
0.600639
kappa
0.598071
kappa
0.83871
kappa
0.598071
kappa
0.757282
kappa
0.919614
kappa
0.840764
kappa
0.761905
kappa
0.595469
kappa
0.595469
kappa
0.679487
kappa
0.603175
kappa
0.839744
kappa
0.595469
kappa
0.600639
kappa
0.758842
kappa
0.681529
kappa
0.919614
kappa
0.437299
kappa
0.437299
kappa
0.681529
kappa
0.761905
kappa
0.605678
kappa
0.605678
kappa
0.840764
kappa
0.761905
kappa
0.920128
kappa
0.683544
kappa
0.522293
kappa
0.590164
kappa
0.598071
kappa
0.600639
kappa
0.598071
kappa
0.675325
kappa
0.920128
kappa
0.757282
kappa
0.83871
kappa
0.758842
kappa
0.675325
kappa
0.919614
kappa
0.754098
kappa
0.760383
kappa
0.754098
kappa
0.512987
kb_relative_information_score
7.73485
kb_relative_information_score
14.693201
kb_relative_information_score
11.185041
kb_relative_information_score
11.608152
kb_relative_information_score
12.458732
kb_relative_information_score
10.816004
kb_relative_information_score
12.148158
kb_relative_information_score
11.628676
kb_relative_information_score
9.506092
kb_relative_information_score
14.496459
kb_relative_information_score
7.929387
kb_relative_information_score
6.985403
kb_relative_information_score
12.476603
kb_relative_information_score
11.340791
kb_relative_information_score
12.398059
kb_relative_information_score
11.133487
kb_relative_information_score
14.745168
kb_relative_information_score
10.997031
kb_relative_information_score
8.566718
kb_relative_information_score
13.702399
kb_relative_information_score
15.491689
kb_relative_information_score
10.442431
kb_relative_information_score
12.531079
kb_relative_information_score
13.043564
kb_relative_information_score
13.582872
kb_relative_information_score
13.291397
kb_relative_information_score
12.286742
kb_relative_information_score
9.719857
kb_relative_information_score
13.770683
kb_relative_information_score
12.601104
kb_relative_information_score
9.312075
kb_relative_information_score
12.39375
kb_relative_information_score
11.89435
kb_relative_information_score
12.529976
kb_relative_information_score
14.028232
kb_relative_information_score
9.752748
kb_relative_information_score
13.337359
kb_relative_information_score
14.047269
kb_relative_information_score
11.654322
kb_relative_information_score
16.937264
kb_relative_information_score
14.337991
kb_relative_information_score
10.901769
kb_relative_information_score
10.606551
kb_relative_information_score
11.405971
kb_relative_information_score
11.752474
kb_relative_information_score
12.818161
kb_relative_information_score
9.525782
kb_relative_information_score
14.086416
kb_relative_information_score
12.715027
kb_relative_information_score
11.510272
kb_relative_information_score
11.138103
kb_relative_information_score
13.310106
kb_relative_information_score
10.100243
kb_relative_information_score
13.529804
kb_relative_information_score
13.211775
kb_relative_information_score
18.34559
kb_relative_information_score
9.849837
kb_relative_information_score
11.299984
kb_relative_information_score
14.296569
kb_relative_information_score
12.102786
kb_relative_information_score
14.895602
kb_relative_information_score
16.963624
kb_relative_information_score
12.046692
kb_relative_information_score
9.636564
kb_relative_information_score
10.713377
kb_relative_information_score
12.460379
kb_relative_information_score
12.945074
kb_relative_information_score
11.656097
kb_relative_information_score
14.721382
kb_relative_information_score
8.405722
kb_relative_information_score
11.712772
kb_relative_information_score
9.914772
kb_relative_information_score
12.747272
kb_relative_information_score
14.611141
kb_relative_information_score
7.616202
kb_relative_information_score
9.357596
kb_relative_information_score
11.46007
kb_relative_information_score
11.70031
kb_relative_information_score
11.374142
kb_relative_information_score
11.630645
kb_relative_information_score
14.146375
kb_relative_information_score
13.014652
kb_relative_information_score
13.797872
kb_relative_information_score
13.135626
kb_relative_information_score
10.490587
kb_relative_information_score
8.733221
kb_relative_information_score
12.263462
kb_relative_information_score
11.640846
kb_relative_information_score
14.311109
kb_relative_information_score
11.256223
kb_relative_information_score
16.85903
kb_relative_information_score
13.305574
kb_relative_information_score
15.268862
kb_relative_information_score
11.671444
kb_relative_information_score
15.107864
kb_relative_information_score
15.793031
kb_relative_information_score
13.180054
kb_relative_information_score
14.176946
kb_relative_information_score
11.581472
kb_relative_information_score
9.614928
mean_absolute_error
0.3592
mean_absolute_error
0.2236
mean_absolute_error
0.2864
mean_absolute_error
0.2824
mean_absolute_error
0.2684
mean_absolute_error
0.2988
mean_absolute_error
0.276
mean_absolute_error
0.2852
mean_absolute_error
0.3296
mean_absolute_error
0.2312
mean_absolute_error
0.3436
mean_absolute_error
0.3628
mean_absolute_error
0.2632
mean_absolute_error
0.284
mean_absolute_error
0.2708
mean_absolute_error
0.2964
mean_absolute_error
0.2332
mean_absolute_error
0.286
mean_absolute_error
0.338
mean_absolute_error
0.2484
mean_absolute_error
0.2116
mean_absolute_error
0.3052
mean_absolute_error
0.2648
mean_absolute_error
0.2648
mean_absolute_error
0.252
mean_absolute_error
0.2616
mean_absolute_error
0.272
mean_absolute_error
0.3168
mean_absolute_error
0.2484
mean_absolute_error
0.2712
mean_absolute_error
0.326
mean_absolute_error
0.2772
mean_absolute_error
0.2804
mean_absolute_error
0.268
mean_absolute_error
0.2432
mean_absolute_error
0.3184
mean_absolute_error
0.2524
mean_absolute_error
0.2452
mean_absolute_error
0.2848
mean_absolute_error
0.1904
mean_absolute_error
0.2408
mean_absolute_error
0.3004
mean_absolute_error
0.3096
mean_absolute_error
0.2904
mean_absolute_error
0.2796
mean_absolute_error
0.2528
mean_absolute_error
0.3244
mean_absolute_error
0.248
mean_absolute_error
0.262
mean_absolute_error
0.2928
mean_absolute_error
0.294
mean_absolute_error
0.256
mean_absolute_error
0.3128
mean_absolute_error
0.2424
mean_absolute_error
0.2584
mean_absolute_error
0.1612
mean_absolute_error
0.3192
mean_absolute_error
0.2928
mean_absolute_error
0.2376
mean_absolute_error
0.276
mean_absolute_error
0.222
mean_absolute_error
0.1848
mean_absolute_error
0.2868
mean_absolute_error
0.3288
mean_absolute_error
0.3044
mean_absolute_error
0.2652
mean_absolute_error
0.2592
mean_absolute_error
0.2848
mean_absolute_error
0.2292
mean_absolute_error
0.3508
mean_absolute_error
0.2812
mean_absolute_error
0.3228
mean_absolute_error
0.2672
mean_absolute_error
0.234
mean_absolute_error
0.3536
mean_absolute_error
0.3264
mean_absolute_error
0.2872
mean_absolute_error
0.286
mean_absolute_error
0.2844
mean_absolute_error
0.282
mean_absolute_error
0.246
mean_absolute_error
0.2568
mean_absolute_error
0.2496
mean_absolute_error
0.2544
mean_absolute_error
0.302
mean_absolute_error
0.3416
mean_absolute_error
0.2616
mean_absolute_error
0.2852
mean_absolute_error
0.2276
mean_absolute_error
0.2892
mean_absolute_error
0.1912
mean_absolute_error
0.2568
mean_absolute_error
0.2188
mean_absolute_error
0.2912
mean_absolute_error
0.2124
mean_absolute_error
0.2128
mean_absolute_error
0.2548
mean_absolute_error
0.2372
mean_absolute_error
0.2896
mean_absolute_error
0.3132
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
precision
0.823377 [0.714286,0.909091]
precision
0.92 [0.909091,0.928571]
precision
0.762222 [0.777778,0.75]
precision
0.8 [0.8,0.8]
precision
0.905714 [0.785714,1]
precision
0.84 [0.833333,0.846154]
precision
0.882821 [0.846154,0.916667]
precision
0.84 [0.818182,0.857143]
precision
0.82 [0.733333,0.9]
precision
0.882821 [0.846154,0.916667]
precision
0.637353 [0.625,0.647059]
precision
0.658701 [0.571429,0.727273]
precision
0.851795 [0.769231,0.916667]
precision
0.771282 [0.692308,0.833333]
precision
0.84 [0.818182,0.857143]
precision
0.84987 [0.785714,0.909091]
precision
0.962857 [1,0.928571]
precision
0.781587 [0.857143,0.722222]
precision
0.686753 [0.642857,0.727273]
precision
0.84 [0.833333,0.846154]
precision
0.962667 [1,0.933333]
precision
0.846111 [0.888889,0.8125]
precision
0.851795 [0.769231,0.916667]
precision
0.92 [0.909091,0.928571]
precision
0.963333 [0.916667,1]
precision
0.963077 [0.923077,1]
precision
0.855556 [1,0.722222]
precision
0.803846 [0.75,0.846154]
precision
0.882078 [0.909091,0.857143]
precision
0.882821 [0.846154,0.916667]
precision
0.76 [0.75,0.769231]
precision
0.882821 [0.846154,0.916667]
precision
0.848 [0.9,0.8]
precision
0.801299 [0.818182,0.785714]
precision
0.882821 [0.846154,0.916667]
precision
0.736 [0.666667,0.8]
precision
0.931429 [0.857143,1]
precision
0.92 [0.916667,0.923077]
precision
0.882078 [0.909091,0.857143]
precision
1 [1,1]
precision
0.931429 [0.857143,1]
precision
0.82 [0.733333,0.9]
precision
0.882078 [0.909091,0.857143]
precision
0.801299 [0.818182,0.785714]
precision
0.802564 [0.769231,0.833333]
precision
0.765333 [0.8,0.733333]
precision
0.768312 [0.714286,0.818182]
precision
0.963077 [0.923077,1]
precision
0.882078 [0.909091,0.857143]
precision
0.848 [0.9,0.8]
precision
0.76 [0.75,0.769231]
precision
0.882821 [0.846154,0.916667]
precision
0.76 [0.75,0.769231]
precision
0.802564 [0.769231,0.833333]
precision
0.84987 [0.785714,0.909091]
precision
1 [1,1]
precision
0.802564 [0.769231,0.833333]
precision
0.801299 [0.818182,0.785714]
precision
0.930667 [1,0.866667]
precision
0.801299 [0.818182,0.785714]
precision
0.9025 [1,0.8125]
precision
0.962857 [1,0.928571]
precision
0.931429 [0.857143,1]
precision
0.904 [0.8,1]
precision
0.816667 [0.888889,0.75]
precision
0.816667 [0.888889,0.75]
precision
0.84 [0.833333,0.846154]
precision
0.82 [0.733333,0.9]
precision
0.92 [0.916667,0.923077]
precision
0.816667 [0.888889,0.75]
precision
0.802564 [0.769231,0.833333]
precision
0.882078 [0.909091,0.857143]
precision
0.84987 [0.785714,0.909091]
precision
0.962857 [1,0.928571]
precision
0.720519 [0.727273,0.714286]
precision
0.724103 [0.666667,0.769231]
precision
0.851795 [0.769231,0.916667]
precision
0.904 [0.8,1]
precision
0.823377 [0.714286,0.909091]
precision
0.823377 [0.714286,0.909091]
precision
0.931429 [0.857143,1]
precision
0.904 [0.8,1]
precision
0.963077 [0.923077,1]
precision
0.88 [0.75,1]
precision
0.768312 [0.714286,0.818182]
precision
0.8 [0.8,0.8]
precision
0.803846 [0.75,0.846154]
precision
0.802564 [0.769231,0.833333]
precision
0.803846 [0.75,0.846154]
precision
0.84 [0.818182,0.857143]
precision
0.963077 [0.923077,1]
precision
0.9025 [1,0.8125]
precision
0.930667 [1,0.866667]
precision
0.882078 [0.909091,0.857143]
precision
0.877647 [1,0.764706]
precision
0.963333 [0.916667,1]
precision
0.881333 [0.9,0.866667]
precision
0.882821 [0.846154,0.916667]
precision
0.881333 [0.9,0.866667]
precision
0.76 [0.727273,0.785714]
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.96
predictive_accuracy
0.96
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
1
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.96
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.96
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.76
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
recall
0.8 [0.909091,0.714286]
recall
0.92 [0.909091,0.928571]
recall
0.76 [0.636364,0.857143]
recall
0.8 [0.727273,0.857143]
recall
0.88 [1,0.785714]
recall
0.84 [0.833333,0.846154]
recall
0.88 [0.916667,0.846154]
recall
0.84 [0.818182,0.857143]
recall
0.8 [0.916667,0.692308]
recall
0.88 [0.916667,0.846154]
recall
0.64 [0.454545,0.785714]
recall
0.64 [0.727273,0.571429]
recall
0.84 [0.909091,0.785714]
recall
0.76 [0.818182,0.714286]
recall
0.84 [0.818182,0.857143]
recall
0.84 [0.916667,0.769231]
recall
0.96 [0.916667,1]
recall
0.76 [0.545455,0.928571]
recall
0.68 [0.75,0.615385]
recall
0.84 [0.833333,0.846154]
recall
0.96 [0.909091,1]
recall
0.84 [0.727273,0.928571]
recall
0.84 [0.909091,0.785714]
recall
0.92 [0.909091,0.928571]
recall
0.96 [1,0.928571]
recall
0.96 [1,0.923077]
recall
0.8 [0.583333,1]
recall
0.8 [0.818182,0.785714]
recall
0.88 [0.833333,0.923077]
recall
0.88 [0.916667,0.846154]
recall
0.76 [0.75,0.769231]
recall
0.88 [0.916667,0.846154]
recall
0.84 [0.75,0.923077]
recall
0.8 [0.75,0.846154]
recall
0.88 [0.916667,0.846154]
recall
0.72 [0.833333,0.615385]
recall
0.92 [1,0.846154]
recall
0.92 [0.916667,0.923077]
recall
0.88 [0.833333,0.923077]
recall
1 [1,1]
recall
0.92 [1,0.846154]
recall
0.8 [0.916667,0.692308]
recall
0.88 [0.833333,0.923077]
recall
0.8 [0.75,0.846154]
recall
0.8 [0.833333,0.769231]
recall
0.76 [0.666667,0.846154]
recall
0.76 [0.833333,0.692308]
recall
0.96 [1,0.923077]
recall
0.88 [0.833333,0.923077]
recall
0.84 [0.75,0.923077]
recall
0.76 [0.75,0.769231]
recall
0.88 [0.916667,0.846154]
recall
0.76 [0.75,0.769231]
recall
0.8 [0.833333,0.769231]
recall
0.84 [0.916667,0.769231]
recall
1 [1,1]
recall
0.8 [0.833333,0.769231]
recall
0.8 [0.75,0.846154]
recall
0.92 [0.833333,1]
recall
0.8 [0.75,0.846154]
recall
0.88 [0.75,1]
recall
0.96 [0.916667,1]
recall
0.92 [1,0.846154]
recall
0.88 [1,0.769231]
recall
0.8 [0.666667,0.923077]
recall
0.8 [0.666667,0.923077]
recall
0.84 [0.833333,0.846154]
recall
0.8 [0.916667,0.692308]
recall
0.92 [0.916667,0.923077]
recall
0.8 [0.666667,0.923077]
recall
0.8 [0.833333,0.769231]
recall
0.88 [0.833333,0.923077]
recall
0.84 [0.916667,0.769231]
recall
0.96 [0.916667,1]
recall
0.72 [0.666667,0.769231]
recall
0.72 [0.727273,0.714286]
recall
0.84 [0.909091,0.785714]
recall
0.88 [1,0.769231]
recall
0.8 [0.909091,0.714286]
recall
0.8 [0.909091,0.714286]
recall
0.92 [1,0.846154]
recall
0.88 [1,0.769231]
recall
0.96 [1,0.923077]
recall
0.84 [1,0.692308]
recall
0.76 [0.833333,0.692308]
recall
0.8 [0.727273,0.857143]
recall
0.8 [0.818182,0.785714]
recall
0.8 [0.833333,0.769231]
recall
0.8 [0.818182,0.785714]
recall
0.84 [0.818182,0.857143]
recall
0.96 [1,0.923077]
recall
0.88 [0.75,1]
recall
0.92 [0.833333,1]
recall
0.88 [0.833333,0.923077]
recall
0.84 [0.666667,1]
recall
0.96 [1,0.928571]
recall
0.88 [0.818182,0.928571]
recall
0.88 [0.916667,0.846154]
recall
0.88 [0.818182,0.928571]
recall
0.76 [0.727273,0.785714]
relative_absolute_error
0.723916
relative_absolute_error
0.450633
relative_absolute_error
0.577198
relative_absolute_error
0.569136
relative_absolute_error
0.540921
relative_absolute_error
0.599122
relative_absolute_error
0.553405
relative_absolute_error
0.574779
relative_absolute_error
0.660878
relative_absolute_error
0.463577
relative_absolute_error
0.692476
relative_absolute_error
0.731171
relative_absolute_error
0.530441
relative_absolute_error
0.572361
relative_absolute_error
0.545758
relative_absolute_error
0.594309
relative_absolute_error
0.467588
relative_absolute_error
0.576392
relative_absolute_error
0.677721
relative_absolute_error
0.498065
relative_absolute_error
0.426449
relative_absolute_error
0.615086
relative_absolute_error
0.533666
relative_absolute_error
0.533666
relative_absolute_error
0.507869
relative_absolute_error
0.524532
relative_absolute_error
0.545385
relative_absolute_error
0.638464
relative_absolute_error
0.498065
relative_absolute_error
0.543781
relative_absolute_error
0.65366
relative_absolute_error
0.555812
relative_absolute_error
0.562228
relative_absolute_error
0.537365
relative_absolute_error
0.487638
relative_absolute_error
0.638421
relative_absolute_error
0.506085
relative_absolute_error
0.491649
relative_absolute_error
0.57105
relative_absolute_error
0.38177
relative_absolute_error
0.482826
relative_absolute_error
0.60233
relative_absolute_error
0.620777
relative_absolute_error
0.582279
relative_absolute_error
0.560624
relative_absolute_error
0.506887
relative_absolute_error
0.650452
relative_absolute_error
0.497263
relative_absolute_error
0.525334
relative_absolute_error
0.587091
relative_absolute_error
0.589497
relative_absolute_error
0.513304
relative_absolute_error
0.627193
relative_absolute_error
0.486034
relative_absolute_error
0.518116
relative_absolute_error
0.323221
relative_absolute_error
0.640025
relative_absolute_error
0.587091
relative_absolute_error
0.47641
relative_absolute_error
0.553405
relative_absolute_error
0.44513
relative_absolute_error
0.370541
relative_absolute_error
0.57506
relative_absolute_error
0.659274
relative_absolute_error
0.61035
relative_absolute_error
0.53175
relative_absolute_error
0.51972
relative_absolute_error
0.57105
relative_absolute_error
0.459567
relative_absolute_error
0.703386
relative_absolute_error
0.563832
relative_absolute_error
0.647244
relative_absolute_error
0.535761
relative_absolute_error
0.469192
relative_absolute_error
0.709001
relative_absolute_error
0.657812
relative_absolute_error
0.57881
relative_absolute_error
0.573456
relative_absolute_error
0.573167
relative_absolute_error
0.56833
relative_absolute_error
0.493253
relative_absolute_error
0.514908
relative_absolute_error
0.500471
relative_absolute_error
0.510095
relative_absolute_error
0.605538
relative_absolute_error
0.688445
relative_absolute_error
0.527217
relative_absolute_error
0.571852
relative_absolute_error
0.458695
relative_absolute_error
0.582841
relative_absolute_error
0.383374
relative_absolute_error
0.514908
relative_absolute_error
0.438714
relative_absolute_error
0.583883
relative_absolute_error
0.425882
relative_absolute_error
0.428868
relative_absolute_error
0.513512
relative_absolute_error
0.475608
relative_absolute_error
0.583647
relative_absolute_error
0.631209
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_squared_error
0.412378
root_mean_squared_error
0.288007
root_mean_squared_error
0.358285
root_mean_squared_error
0.34671
root_mean_squared_error
0.321416
root_mean_squared_error
0.379784
root_mean_squared_error
0.336167
root_mean_squared_error
0.33298
root_mean_squared_error
0.374187
root_mean_squared_error
0.298436
root_mean_squared_error
0.435839
root_mean_squared_error
0.444392
root_mean_squared_error
0.335464
root_mean_squared_error
0.362502
root_mean_squared_error
0.321851
root_mean_squared_error
0.358045
root_mean_squared_error
0.276991
root_mean_squared_error
0.374011
root_mean_squared_error
0.407239
root_mean_squared_error
0.312608
root_mean_squared_error
0.264991
root_mean_squared_error
0.371133
root_mean_squared_error
0.325269
root_mean_squared_error
0.303328
root_mean_squared_error
0.295973
root_mean_squared_error
0.307987
root_mean_squared_error
0.354186
root_mean_squared_error
0.402751
root_mean_squared_error
0.299366
root_mean_squared_error
0.327524
root_mean_squared_error
0.387861
root_mean_squared_error
0.325583
root_mean_squared_error
0.359149
root_mean_squared_error
0.327963
root_mean_squared_error
0.294917
root_mean_squared_error
0.383249
root_mean_squared_error
0.321714
root_mean_squared_error
0.298282
root_mean_squared_error
0.356976
root_mean_squared_error
0.228386
root_mean_squared_error
0.283337
root_mean_squared_error
0.367342
root_mean_squared_error
0.368641
root_mean_squared_error
0.350326
root_mean_squared_error
0.359194
root_mean_squared_error
0.353497
root_mean_squared_error
0.387551
root_mean_squared_error
0.283775
root_mean_squared_error
0.342666
root_mean_squared_error
0.34128
root_mean_squared_error
0.360305
root_mean_squared_error
0.312934
root_mean_squared_error
0.371494
root_mean_squared_error
0.330817
root_mean_squared_error
0.333946
root_mean_squared_error
0.195028
root_mean_squared_error
0.369432
root_mean_squared_error
0.34948
root_mean_squared_error
0.296513
root_mean_squared_error
0.36132
root_mean_squared_error
0.289917
root_mean_squared_error
0.23747
root_mean_squared_error
0.32915
root_mean_squared_error
0.377168
root_mean_squared_error
0.356185
root_mean_squared_error
0.348603
root_mean_squared_error
0.335261
root_mean_squared_error
0.34686
root_mean_squared_error
0.287242
root_mean_squared_error
0.419519
root_mean_squared_error
0.356241
root_mean_squared_error
0.376197
root_mean_squared_error
0.31881
root_mean_squared_error
0.279864
root_mean_squared_error
0.433248
root_mean_squared_error
0.37287
root_mean_squared_error
0.348781
root_mean_squared_error
0.343063
root_mean_squared_error
0.359305
root_mean_squared_error
0.355646
root_mean_squared_error
0.283556
root_mean_squared_error
0.330309
root_mean_squared_error
0.299266
root_mean_squared_error
0.330285
root_mean_squared_error
0.379215
root_mean_squared_error
0.387257
root_mean_squared_error
0.35175
root_mean_squared_error
0.36756
root_mean_squared_error
0.2995
root_mean_squared_error
0.344668
root_mean_squared_error
0.229957
root_mean_squared_error
0.308467
root_mean_squared_error
0.277049
root_mean_squared_error
0.353123
root_mean_squared_error
0.297893
root_mean_squared_error
0.241727
root_mean_squared_error
0.322559
root_mean_squared_error
0.300912
root_mean_squared_error
0.342719
root_mean_squared_error
0.390738
root_relative_squared_error
0.829418
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