467828
2
Joaquin Vanschoren
4321
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
750
pm10
https://www.openml.org/data/download/53284/pm10.arff
-1
1645597
description
https://api.openml.org/data/download/1645597/weka_generated_run1232833460522120178.xml
-1
1645600
model_readable
https://api.openml.org/data/download/1645600/WekaModel_weka.classifiers.meta.Bagging2794347102490318090.model
-1
1645599
model_serialized
https://api.openml.org/data/download/1645599/WekaSerialized_weka.classifiers.meta.Bagging3366532667474639499.model
-1
1645598
predictions
https://api.openml.org/data/download/1645598/weka_generated_predictions4544661169729720117.arff
area_under_roc_curve
0.627468 [0.627468,0.627468]
average_cost
0
f_measure
0.600225 [0.623062,0.576645]
kappa
0.201122
kb_relative_information_score
450.51875
mean_absolute_error
0.462046
mean_prior_absolute_error
0.499873
number_of_instances
5000 [2540,2460]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.60138 [0.599273,0.603556]
predictive_accuracy
0.6012
prior_entropy
0.999817
recall
0.6012 [0.648819,0.552033]
relative_absolute_error
0.924327
root_mean_prior_squared_error
0.499936
root_mean_squared_error
0.491902
root_relative_squared_error
0.98393
scimark_benchmark
938.191038 [560.6688329969002, 1014.1868590421574, 483.0147548568529, 877.0290826596154, 1756.0556588021248]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.661859 [0.661859,0.661859]
area_under_roc_curve
0.700321 [0.700321,0.700321]
area_under_roc_curve
0.657051 [0.657051,0.657051]
area_under_roc_curve
0.752 [0.752,0.752]
area_under_roc_curve
0.602564 [0.602564,0.602564]
area_under_roc_curve
0.616 [0.616,0.616]
area_under_roc_curve
0.7216 [0.7216,0.7216]
area_under_roc_curve
0.591346 [0.591346,0.591346]
area_under_roc_curve
0.568 [0.568,0.568]
area_under_roc_curve
0.647436 [0.647436,0.647436]
area_under_roc_curve
0.496795 [0.496795,0.496795]
area_under_roc_curve
0.536859 [0.536859,0.536859]
area_under_roc_curve
0.737179 [0.737179,0.737179]
area_under_roc_curve
0.5184 [0.5184,0.5184]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.5792 [0.5792,0.5792]
area_under_roc_curve
0.6144 [0.6144,0.6144]
area_under_roc_curve
0.514423 [0.514423,0.514423]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.629808 [0.629808,0.629808]
area_under_roc_curve
0.564103 [0.564103,0.564103]
area_under_roc_curve
0.551282 [0.551282,0.551282]
area_under_roc_curve
0.758013 [0.758013,0.758013]
area_under_roc_curve
0.608 [0.608,0.608]
area_under_roc_curve
0.653846 [0.653846,0.653846]
area_under_roc_curve
0.5424 [0.5424,0.5424]
area_under_roc_curve
0.592 [0.592,0.592]
area_under_roc_curve
0.567308 [0.567308,0.567308]
area_under_roc_curve
0.616 [0.616,0.616]
area_under_roc_curve
0.636218 [0.636218,0.636218]
area_under_roc_curve
0.607372 [0.607372,0.607372]
area_under_roc_curve
0.777244 [0.777244,0.777244]
area_under_roc_curve
0.741987 [0.741987,0.741987]
area_under_roc_curve
0.6736 [0.6736,0.6736]
area_under_roc_curve
0.713141 [0.713141,0.713141]
area_under_roc_curve
0.6704 [0.6704,0.6704]
area_under_roc_curve
0.704 [0.704,0.704]
area_under_roc_curve
0.642628 [0.642628,0.642628]
area_under_roc_curve
0.704 [0.704,0.704]
area_under_roc_curve
0.503205 [0.503205,0.503205]
area_under_roc_curve
0.7088 [0.7088,0.7088]
area_under_roc_curve
0.6176 [0.6176,0.6176]
area_under_roc_curve
0.5992 [0.5992,0.5992]
area_under_roc_curve
0.672 [0.672,0.672]
area_under_roc_curve
0.5408 [0.5408,0.5408]
area_under_roc_curve
0.6288 [0.6288,0.6288]
area_under_roc_curve
0.6608 [0.6608,0.6608]
area_under_roc_curve
0.6496 [0.6496,0.6496]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.6208 [0.6208,0.6208]
area_under_roc_curve
0.5776 [0.5776,0.5776]
area_under_roc_curve
0.472 [0.472,0.472]
area_under_roc_curve
0.5408 [0.5408,0.5408]
area_under_roc_curve
0.536 [0.536,0.536]
area_under_roc_curve
0.576 [0.576,0.576]
area_under_roc_curve
0.5376 [0.5376,0.5376]
area_under_roc_curve
0.7328 [0.7328,0.7328]
area_under_roc_curve
0.7392 [0.7392,0.7392]
area_under_roc_curve
0.7712 [0.7712,0.7712]
area_under_roc_curve
0.6384 [0.6384,0.6384]
area_under_roc_curve
0.5072 [0.5072,0.5072]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.4944 [0.4944,0.4944]
area_under_roc_curve
0.714744 [0.714744,0.714744]
area_under_roc_curve
0.632 [0.632,0.632]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.464 [0.464,0.464]
area_under_roc_curve
0.578526 [0.578526,0.578526]
area_under_roc_curve
0.8096 [0.8096,0.8096]
area_under_roc_curve
0.7136 [0.7136,0.7136]
area_under_roc_curve
0.7216 [0.7216,0.7216]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.684295 [0.684295,0.684295]
area_under_roc_curve
0.6688 [0.6688,0.6688]
area_under_roc_curve
0.836538 [0.836538,0.836538]
area_under_roc_curve
0.599359 [0.599359,0.599359]
area_under_roc_curve
0.6912 [0.6912,0.6912]
area_under_roc_curve
0.660256 [0.660256,0.660256]
area_under_roc_curve
0.648 [0.648,0.648]
area_under_roc_curve
0.6848 [0.6848,0.6848]
area_under_roc_curve
0.5952 [0.5952,0.5952]
area_under_roc_curve
0.48 [0.48,0.48]
area_under_roc_curve
0.650641 [0.650641,0.650641]
area_under_roc_curve
0.5792 [0.5792,0.5792]
area_under_roc_curve
0.578526 [0.578526,0.578526]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.4816 [0.4816,0.4816]
area_under_roc_curve
0.586538 [0.586538,0.586538]
area_under_roc_curve
0.6592 [0.6592,0.6592]
area_under_roc_curve
0.6736 [0.6736,0.6736]
area_under_roc_curve
0.7344 [0.7344,0.7344]
area_under_roc_curve
0.6288 [0.6288,0.6288]
area_under_roc_curve
0.658654 [0.658654,0.658654]
area_under_roc_curve
0.6864 [0.6864,0.6864]
area_under_roc_curve
0.520833 [0.520833,0.520833]
area_under_roc_curve
0.586538 [0.586538,0.586538]
area_under_roc_curve
0.6784 [0.6784,0.6784]
area_under_roc_curve
0.608974 [0.608974,0.608974]
area_under_roc_curve
0.6496 [0.6496,0.6496]
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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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
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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
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0
average_cost
0
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0
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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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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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average_cost
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0
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0
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0
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0
average_cost
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average_cost
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.678969 [0.703704,0.652174]
f_measure
0.659592 [0.653061,0.666667]
f_measure
0.598718 [0.583333,0.615385]
f_measure
0.677939 [0.703704,0.652174]
f_measure
0.619542 [0.641509,0.595745]
f_measure
0.594156 [0.642857,0.545455]
f_measure
0.679487 [0.666667,0.692308]
f_measure
0.6 [0.615385,0.583333]
f_measure
0.535354 [0.581818,0.488889]
f_measure
0.638841 [0.666667,0.608696]
f_measure
0.496989 [0.468085,0.528302]
f_measure
0.539446 [0.566038,0.510638]
f_measure
0.740104 [0.745098,0.734694]
f_measure
0.538338 [0.566038,0.510638]
f_measure
0.510542 [0.586207,0.428571]
f_measure
0.512987 [0.571429,0.454545]
f_measure
0.539816 [0.54902,0.530612]
f_measure
0.48 [0.5,0.458333]
f_measure
0.54844 [0.47619,0.62069]
f_measure
0.539446 [0.566038,0.510638]
f_measure
0.504 [0.6,0.4]
f_measure
0.495552 [0.612903,0.368421]
f_measure
0.68 [0.692308,0.666667]
f_measure
0.578483 [0.603774,0.553191]
f_measure
0.657953 [0.638298,0.679245]
f_measure
0.539816 [0.530612,0.54902]
f_measure
0.538338 [0.510638,0.566038]
f_measure
0.479193 [0.590164,0.358974]
f_measure
0.557166 [0.592593,0.521739]
f_measure
0.617697 [0.654545,0.577778]
f_measure
0.515325 [0.571429,0.454545]
f_measure
0.740104 [0.745098,0.734694]
f_measure
0.657939 [0.690909,0.622222]
f_measure
0.72 [0.72,0.72]
f_measure
0.673695 [0.724138,0.619048]
f_measure
0.618627 [0.641509,0.595745]
f_measure
0.677939 [0.652174,0.703704]
f_measure
0.663701 [0.741935,0.578947]
f_measure
0.679487 [0.692308,0.666667]
f_measure
0.537212 [0.581818,0.488889]
f_measure
0.702886 [0.774194,0.631579]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.64 [0.64,0.64]
f_measure
0.571603 [0.511628,0.631579]
f_measure
0.559295 [0.576923,0.541667]
f_measure
0.557166 [0.521739,0.592593]
f_measure
0.618627 [0.641509,0.595745]
f_measure
0.639423 [0.653846,0.625]
f_measure
0.597424 [0.62963,0.565217]
f_measure
0.539816 [0.530612,0.54902]
f_measure
0.516908 [0.555556,0.478261]
f_measure
0.48 [0.48,0.48]
f_measure
0.516908 [0.555556,0.478261]
f_measure
0.516908 [0.555556,0.478261]
f_measure
0.579832 [0.571429,0.588235]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.600673 [0.688525,0.512821]
f_measure
0.656566 [0.690909,0.622222]
f_measure
0.69988 [0.705882,0.693878]
f_measure
0.512987 [0.571429,0.454545]
f_measure
0.538338 [0.566038,0.510638]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.476651 [0.518519,0.434783]
f_measure
0.678974 [0.666667,0.692308]
f_measure
0.677939 [0.703704,0.652174]
f_measure
0.69964 [0.693878,0.705882]
f_measure
0.598712 [0.62963,0.565217]
f_measure
0.479167 [0.5,0.458333]
f_measure
0.479193 [0.590164,0.358974]
f_measure
0.715909 [0.75,0.681818]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.671593 [0.724138,0.619048]
f_measure
0.599359 [0.615385,0.583333]
f_measure
0.64 [0.653846,0.625]
f_measure
0.658772 [0.679245,0.638298]
f_measure
0.76 [0.769231,0.75]
f_measure
0.577455 [0.618182,0.533333]
f_measure
0.619848 [0.627451,0.612245]
f_measure
0.676883 [0.714286,0.636364]
f_measure
0.656566 [0.690909,0.622222]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.557166 [0.592593,0.521739]
f_measure
0.4998 [0.509804,0.489796]
f_measure
0.614574 [0.666667,0.55814]
f_measure
0.557166 [0.592593,0.521739]
f_measure
0.518462 [0.5,0.538462]
f_measure
0.53723 [0.510638,0.566038]
f_measure
0.516908 [0.555556,0.478261]
f_measure
0.55859 [0.541667,0.576923]
f_measure
0.599359 [0.583333,0.615385]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.675325 [0.636364,0.714286]
f_measure
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f_measure
0.617697 [0.654545,0.577778]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.537212 [0.581818,0.488889]
f_measure
0.598712 [0.62963,0.565217]
f_measure
0.637681 [0.666667,0.608696]
f_measure
0.562522 [0.655738,0.461538]
f_measure
0.599359 [0.615385,0.583333]
kappa
0.356913
kappa
0.322169
kappa
0.203822
kappa
0.36
kappa
0.23756
kappa
0.2
kappa
0.36
kappa
0.198718
kappa
0.08
kappa
0.276527
kappa
0.006359
kappa
0.077047
kappa
0.48
kappa
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kappa
0.029126
kappa
0.04
kappa
0.08
kappa
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kappa
0.12
kappa
0.077047
kappa
0.025974
kappa
0.022801
kappa
0.358974
kappa
0.16
kappa
0.324324
kappa
0.08
kappa
0.08
kappa
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kappa
0.12
kappa
0.235105
kappa
0.032258
kappa
0.48
kappa
0.31562
kappa
0.44
kappa
0.352751
kappa
0.24
kappa
0.36
kappa
0.348534
kappa
0.36
kappa
0.074074
kappa
0.44
kappa
0.28
kappa
0.28
kappa
0.16
kappa
0.12
kappa
0.12
kappa
0.24
kappa
0.28
kappa
0.2
kappa
0.08
kappa
0.04
kappa
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kappa
0.04
kappa
0.04
kappa
0.16
kappa
0
kappa
0.24
kappa
0.32
kappa
0.4
kappa
0.04
kappa
0.08
kappa
0.28
kappa
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kappa
0.363057
kappa
0.36
kappa
0.401914
kappa
0.196141
kappa
-0.04
kappa
-0.01626
kappa
0.44
kappa
0.4
kappa
0.36
kappa
0.2
kappa
0.278846
kappa
0.32
kappa
0.519231
kappa
0.154589
kappa
0.24
kappa
0.354839
kappa
0.32
kappa
0.28
kappa
0.12
kappa
0
kappa
0.232633
kappa
0.12
kappa
0.044586
kappa
0.085851
kappa
0.04
kappa
0.124204
kappa
0.2
kappa
0.28
kappa
0.36
kappa
0.24
kappa
0.235105
kappa
0.28
kappa
0.074074
kappa
0.196141
kappa
0.28
kappa
0.146341
kappa
0.2
kb_relative_information_score
4.081558
kb_relative_information_score
6.855305
kb_relative_information_score
4.658668
kb_relative_information_score
10.505169
kb_relative_information_score
4.569106
kb_relative_information_score
4.345873
kb_relative_information_score
7.351674
kb_relative_information_score
3.099599
kb_relative_information_score
3.100678
kb_relative_information_score
5.213164
kb_relative_information_score
-0.340737
kb_relative_information_score
0.905421
kb_relative_information_score
9.647888
kb_relative_information_score
0.556395
kb_relative_information_score
2.108866
kb_relative_information_score
2.184208
kb_relative_information_score
4.081922
kb_relative_information_score
0.766552
kb_relative_information_score
3.901955
kb_relative_information_score
4.863407
kb_relative_information_score
1.913209
kb_relative_information_score
2.786316
kb_relative_information_score
8.47985
kb_relative_information_score
4.561698
kb_relative_information_score
6.720707
kb_relative_information_score
1.777936
kb_relative_information_score
2.921812
kb_relative_information_score
2.708856
kb_relative_information_score
4.276754
kb_relative_information_score
4.800393
kb_relative_information_score
4.134729
kb_relative_information_score
12.201038
kb_relative_information_score
9.578768
kb_relative_information_score
6.258711
kb_relative_information_score
7.583549
kb_relative_information_score
6.359013
kb_relative_information_score
6.090488
kb_relative_information_score
5.774174
kb_relative_information_score
7.198913
kb_relative_information_score
0.00266
kb_relative_information_score
8.442553
kb_relative_information_score
3.519367
kb_relative_information_score
3.755899
kb_relative_information_score
5.753411
kb_relative_information_score
1.204896
kb_relative_information_score
3.820409
kb_relative_information_score
5.610214
kb_relative_information_score
4.825548
kb_relative_information_score
4.13421
kb_relative_information_score
3.940382
kb_relative_information_score
2.785157
kb_relative_information_score
-1.267881
kb_relative_information_score
1.294047
kb_relative_information_score
1.236523
kb_relative_information_score
2.804183
kb_relative_information_score
1.308094
kb_relative_information_score
7.718679
kb_relative_information_score
6.745714
kb_relative_information_score
10.819295
kb_relative_information_score
4.17651
kb_relative_information_score
0.717034
kb_relative_information_score
3.690123
kb_relative_information_score
0.294955
kb_relative_information_score
6.790984
kb_relative_information_score
5.633644
kb_relative_information_score
8.04174
kb_relative_information_score
2.247559
kb_relative_information_score
-1.572344
kb_relative_information_score
1.934514
kb_relative_information_score
10.136142
kb_relative_information_score
7.175708
kb_relative_information_score
7.465061
kb_relative_information_score
4.599512
kb_relative_information_score
6.70183
kb_relative_information_score
6.625036
kb_relative_information_score
10.883775
kb_relative_information_score
3.496925
kb_relative_information_score
6.276803
kb_relative_information_score
6.515004
kb_relative_information_score
4.456356
kb_relative_information_score
6.052534
kb_relative_information_score
3.063155
kb_relative_information_score
-0.58886
kb_relative_information_score
5.550249
kb_relative_information_score
2.683422
kb_relative_information_score
2.585494
kb_relative_information_score
1.769306
kb_relative_information_score
-0.768009
kb_relative_information_score
2.348689
kb_relative_information_score
5.802018
kb_relative_information_score
6.203853
kb_relative_information_score
7.768264
kb_relative_information_score
4.563534
kb_relative_information_score
4.943907
kb_relative_information_score
5.987108
kb_relative_information_score
1.26769
kb_relative_information_score
4.087985
kb_relative_information_score
5.696482
kb_relative_information_score
3.780906
kb_relative_information_score
4.397207
mean_absolute_error
0.467503
mean_absolute_error
0.444092
mean_absolute_error
0.461904
mean_absolute_error
0.407399
mean_absolute_error
0.462662
mean_absolute_error
0.461572
mean_absolute_error
0.439722
mean_absolute_error
0.475417
mean_absolute_error
0.472264
mean_absolute_error
0.455792
mean_absolute_error
0.503539
mean_absolute_error
0.493162
mean_absolute_error
0.418842
mean_absolute_error
0.494553
mean_absolute_error
0.482168
mean_absolute_error
0.482926
mean_absolute_error
0.463996
mean_absolute_error
0.491922
mean_absolute_error
0.466353
mean_absolute_error
0.456692
mean_absolute_error
0.483731
mean_absolute_error
0.474539
mean_absolute_error
0.428275
mean_absolute_error
0.460024
mean_absolute_error
0.444785
mean_absolute_error
0.483212
mean_absolute_error
0.474116
mean_absolute_error
0.475735
mean_absolute_error
0.46326
mean_absolute_error
0.457514
mean_absolute_error
0.461503
mean_absolute_error
0.394117
mean_absolute_error
0.416727
mean_absolute_error
0.450234
mean_absolute_error
0.436312
mean_absolute_error
0.444609
mean_absolute_error
0.452652
mean_absolute_error
0.452678
mean_absolute_error
0.440885
mean_absolute_error
0.500787
mean_absolute_error
0.429185
mean_absolute_error
0.472668
mean_absolute_error
0.469463
mean_absolute_error
0.448611
mean_absolute_error
0.491188
mean_absolute_error
0.467862
mean_absolute_error
0.451869
mean_absolute_error
0.46109
mean_absolute_error
0.467074
mean_absolute_error
0.465845
mean_absolute_error
0.474508
mean_absolute_error
0.510252
mean_absolute_error
0.489937
mean_absolute_error
0.492816
mean_absolute_error
0.477948
mean_absolute_error
0.487351
mean_absolute_error
0.433377
mean_absolute_error
0.443789
mean_absolute_error
0.405812
mean_absolute_error
0.464278
mean_absolute_error
0.492659
mean_absolute_error
0.470045
mean_absolute_error
0.496003
mean_absolute_error
0.443132
mean_absolute_error
0.454381
mean_absolute_error
0.433625
mean_absolute_error
0.482234
mean_absolute_error
0.514502
mean_absolute_error
0.481902
mean_absolute_error
0.416991
mean_absolute_error
0.44001
mean_absolute_error
0.438319
mean_absolute_error
0.462523
mean_absolute_error
0.443197
mean_absolute_error
0.445029
mean_absolute_error
0.408198
mean_absolute_error
0.469541
mean_absolute_error
0.448637
mean_absolute_error
0.443599
mean_absolute_error
0.464035
mean_absolute_error
0.448906
mean_absolute_error
0.473698
mean_absolute_error
0.506006
mean_absolute_error
0.454283
mean_absolute_error
0.479631
mean_absolute_error
0.478053
mean_absolute_error
0.484201
mean_absolute_error
0.506656
mean_absolute_error
0.480397
mean_absolute_error
0.448156
mean_absolute_error
0.446906
mean_absolute_error
0.433917
mean_absolute_error
0.461726
mean_absolute_error
0.459957
mean_absolute_error
0.449506
mean_absolute_error
0.488363
mean_absolute_error
0.468927
mean_absolute_error
0.451346
mean_absolute_error
0.467709
mean_absolute_error
0.464555
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
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0.5
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mean_prior_absolute_error
0.499681
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
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0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
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mean_prior_absolute_error
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mean_prior_absolute_error
0.499681
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mean_prior_absolute_error
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0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
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0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
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50 [26,24]
number_of_instances
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50 [25,25]
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50 [25,25]
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number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
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50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
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number_of_instances
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50 [26,24]
number_of_instances
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50 [25,25]
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number_of_instances
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50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
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50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
precision
0.68013 [0.678571,0.681818]
precision
0.663961 [0.695652,0.62963]
precision
0.605195 [0.636364,0.571429]
precision
0.684729 [0.655172,0.714286]
precision
0.619581 [0.62963,0.608696]
precision
0.606112 [0.580645,0.631579]
precision
0.681159 [0.695652,0.666667]
precision
0.6 [0.615385,0.583333]
precision
0.541667 [0.533333,0.55]
precision
0.63974 [0.642857,0.636364]
precision
0.504105 [0.52381,0.482759]
precision
0.539324 [0.555556,0.521739]
precision
0.7408 [0.76,0.72]
precision
0.540584 [0.535714,0.545455]
precision
0.51625 [0.53125,0.5]
precision
0.521222 [0.516129,0.526316]
precision
0.540064 [0.538462,0.541667]
precision
0.48 [0.5,0.458333]
precision
0.566845 [0.588235,0.545455]
precision
0.539324 [0.555556,0.521739]
precision
0.515294 [0.529412,0.5]
precision
0.514444 [0.527778,0.5]
precision
0.68 [0.692308,0.666667]
precision
0.581169 [0.571429,0.590909]
precision
0.66936 [0.714286,0.62069]
precision
0.540064 [0.541667,0.538462]
precision
0.540584 [0.545455,0.535714]
precision
0.491429 [0.514286,0.466667]
precision
0.561576 [0.551724,0.571429]
precision
0.619901 [0.62069,0.619048]
precision
0.517333 [0.533333,0.5]
precision
0.7408 [0.76,0.72]
precision
0.66069 [0.655172,0.666667]
precision
0.72 [0.72,0.72]
precision
0.687917 [0.65625,0.722222]
precision
0.621753 [0.607143,0.636364]
precision
0.684729 [0.714286,0.655172]
precision
0.709365 [0.638889,0.785714]
precision
0.681159 [0.666667,0.695652]
precision
0.538325 [0.551724,0.52381]
precision
0.785863 [0.648649,0.923077]
precision
0.643678 [0.62069,0.666667]
precision
0.64 [0.64,0.64]
precision
0.586806 [0.611111,0.5625]
precision
0.560386 [0.555556,0.565217]
precision
0.561576 [0.571429,0.551724]
precision
0.621753 [0.607143,0.636364]
precision
0.640902 [0.62963,0.652174]
precision
0.602627 [0.586207,0.619048]
precision
0.540064 [0.541667,0.538462]
precision
0.520525 [0.517241,0.52381]
precision
0.48 [0.48,0.48]
precision
0.520525 [0.517241,0.52381]
precision
0.520525 [0.517241,0.52381]
precision
0.580128 [0.583333,0.576923]
precision
0.5 [0.5,0.5]
precision
0.64881 [0.583333,0.714286]
precision
0.666667 [0.633333,0.7]
precision
0.700321 [0.692308,0.708333]
precision
0.521222 [0.516129,0.526316]
precision
0.540584 [0.535714,0.545455]
precision
0.643678 [0.62069,0.666667]
precision
0.479475 [0.482759,0.47619]
precision
0.686753 [0.727273,0.642857]
precision
0.684729 [0.655172,0.714286]
precision
0.704348 [0.73913,0.666667]
precision
0.599351 [0.607143,0.590909]
precision
0.479871 [0.481481,0.478261]
precision
0.491429 [0.514286,0.466667]
precision
0.733447 [0.677419,0.789474]
precision
0.708333 [0.666667,0.75]
precision
0.700535 [0.636364,0.764706]
precision
0.600644 [0.592593,0.608696]
precision
0.64 [0.653846,0.625]
precision
0.662338 [0.642857,0.681818]
precision
0.76 [0.769231,0.75]
precision
0.579113 [0.586207,0.571429]
precision
0.620192 [0.615385,0.625]
precision
0.682667 [0.666667,0.7]
precision
0.666667 [0.633333,0.7]
precision
0.643678 [0.62069,0.666667]
precision
0.561576 [0.551724,0.571429]
precision
0.5 [0.5,0.5]
precision
0.621868 [0.612903,0.631579]
precision
0.561576 [0.551724,0.571429]
precision
0.523636 [0.545455,0.5]
precision
0.545419 [0.571429,0.517241]
precision
0.520525 [0.517241,0.52381]
precision
0.564416 [0.590909,0.535714]
precision
0.600644 [0.608696,0.592593]
precision
0.643678 [0.62069,0.666667]
precision
0.691002 [0.736842,0.645161]
precision
0.630208 [0.59375,0.666667]
precision
0.619901 [0.62069,0.619048]
precision
0.643678 [0.62069,0.666667]
precision
0.538325 [0.551724,0.52381]
precision
0.599351 [0.607143,0.590909]
precision
0.643678 [0.62069,0.666667]
precision
0.585143 [0.571429,0.6]
precision
0.600644 [0.592593,0.608696]
predictive_accuracy
0.68
predictive_accuracy
0.66
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.62
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.54
predictive_accuracy
0.64
predictive_accuracy
0.5
predictive_accuracy
0.54
predictive_accuracy
0.74
predictive_accuracy
0.54
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.54
predictive_accuracy
0.48
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.68
predictive_accuracy
0.58
predictive_accuracy
0.66
predictive_accuracy
0.54
predictive_accuracy
0.54
predictive_accuracy
0.5
predictive_accuracy
0.56
predictive_accuracy
0.62
predictive_accuracy
0.52
predictive_accuracy
0.74
predictive_accuracy
0.66
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.62
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.54
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.58
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.62
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.54
predictive_accuracy
0.52
predictive_accuracy
0.48
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.58
predictive_accuracy
0.5
predictive_accuracy
0.62
predictive_accuracy
0.66
predictive_accuracy
0.7
predictive_accuracy
0.52
predictive_accuracy
0.54
predictive_accuracy
0.64
predictive_accuracy
0.48
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.48
predictive_accuracy
0.5
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.66
predictive_accuracy
0.76
predictive_accuracy
0.58
predictive_accuracy
0.62
predictive_accuracy
0.68
predictive_accuracy
0.66
predictive_accuracy
0.64
predictive_accuracy
0.56
predictive_accuracy
0.5
predictive_accuracy
0.62
predictive_accuracy
0.56
predictive_accuracy
0.52
predictive_accuracy
0.54
predictive_accuracy
0.52
predictive_accuracy
0.56
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.64
predictive_accuracy
0.54
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.58
predictive_accuracy
0.6
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
recall
0.68 [0.730769,0.625]
recall
0.66 [0.615385,0.708333]
recall
0.6 [0.538462,0.666667]
recall
0.68 [0.76,0.6]
recall
0.62 [0.653846,0.583333]
recall
0.6 [0.72,0.48]
recall
0.68 [0.64,0.72]
recall
0.6 [0.615385,0.583333]
recall
0.54 [0.64,0.44]
recall
0.64 [0.692308,0.583333]
recall
0.5 [0.423077,0.583333]
recall
0.54 [0.576923,0.5]
recall
0.74 [0.730769,0.75]
recall
0.54 [0.6,0.48]
recall
0.52 [0.653846,0.375]
recall
0.52 [0.64,0.4]
recall
0.54 [0.56,0.52]
recall
0.48 [0.5,0.458333]
recall
0.56 [0.4,0.72]
recall
0.54 [0.576923,0.5]
recall
0.52 [0.692308,0.333333]
recall
0.52 [0.730769,0.291667]
recall
0.68 [0.692308,0.666667]
recall
0.58 [0.64,0.52]
recall
0.66 [0.576923,0.75]
recall
0.54 [0.52,0.56]
recall
0.54 [0.48,0.6]
recall
0.5 [0.692308,0.291667]
recall
0.56 [0.64,0.48]
recall
0.62 [0.692308,0.541667]
recall
0.52 [0.615385,0.416667]
recall
0.74 [0.730769,0.75]
recall
0.66 [0.730769,0.583333]
recall
0.72 [0.72,0.72]
recall
0.68 [0.807692,0.541667]
recall
0.62 [0.68,0.56]
recall
0.68 [0.6,0.76]
recall
0.68 [0.884615,0.458333]
recall
0.68 [0.72,0.64]
recall
0.54 [0.615385,0.458333]
recall
0.72 [0.96,0.48]
recall
0.64 [0.72,0.56]
recall
0.64 [0.64,0.64]
recall
0.58 [0.44,0.72]
recall
0.56 [0.6,0.52]
recall
0.56 [0.48,0.64]
recall
0.62 [0.68,0.56]
recall
0.64 [0.68,0.6]
recall
0.6 [0.68,0.52]
recall
0.54 [0.52,0.56]
recall
0.52 [0.6,0.44]
recall
0.48 [0.48,0.48]
recall
0.52 [0.6,0.44]
recall
0.52 [0.6,0.44]
recall
0.58 [0.56,0.6]
recall
0.5 [0.4,0.6]
recall
0.62 [0.84,0.4]
recall
0.66 [0.76,0.56]
recall
0.7 [0.72,0.68]
recall
0.52 [0.64,0.4]
recall
0.54 [0.6,0.48]
recall
0.64 [0.72,0.56]
recall
0.48 [0.56,0.4]
recall
0.68 [0.615385,0.75]
recall
0.68 [0.76,0.6]
recall
0.7 [0.653846,0.75]
recall
0.6 [0.653846,0.541667]
recall
0.48 [0.52,0.44]
recall
0.5 [0.692308,0.291667]
recall
0.72 [0.84,0.6]
recall
0.7 [0.8,0.6]
recall
0.68 [0.84,0.52]
recall
0.6 [0.64,0.56]
recall
0.64 [0.653846,0.625]
recall
0.66 [0.72,0.6]
recall
0.76 [0.769231,0.75]
recall
0.58 [0.653846,0.5]
recall
0.62 [0.64,0.6]
recall
0.68 [0.769231,0.583333]
recall
0.66 [0.76,0.56]
recall
0.64 [0.72,0.56]
recall
0.56 [0.64,0.48]
recall
0.5 [0.52,0.48]
recall
0.62 [0.730769,0.5]
recall
0.56 [0.64,0.48]
recall
0.52 [0.461538,0.583333]
recall
0.54 [0.461538,0.625]
recall
0.52 [0.6,0.44]
recall
0.56 [0.5,0.625]
recall
0.6 [0.56,0.64]
recall
0.64 [0.72,0.56]
recall
0.68 [0.56,0.8]
recall
0.62 [0.76,0.48]
recall
0.62 [0.692308,0.541667]
recall
0.64 [0.72,0.56]
recall
0.54 [0.615385,0.458333]
recall
0.6 [0.653846,0.541667]
recall
0.64 [0.72,0.56]
recall
0.58 [0.769231,0.375]
recall
0.6 [0.64,0.56]
relative_absolute_error
0.935602
relative_absolute_error
0.888751
relative_absolute_error
0.924397
relative_absolute_error
0.814798
relative_absolute_error
0.925914
relative_absolute_error
0.923143
relative_absolute_error
0.879444
relative_absolute_error
0.95144
relative_absolute_error
0.944529
relative_absolute_error
0.912165
relative_absolute_error
1.00772
relative_absolute_error
0.986954
relative_absolute_error
0.838219
relative_absolute_error
0.989107
relative_absolute_error
0.964951
relative_absolute_error
0.965852
relative_absolute_error
0.927992
relative_absolute_error
0.984473
relative_absolute_error
0.932706
relative_absolute_error
0.913966
relative_absolute_error
0.968078
relative_absolute_error
0.949683
relative_absolute_error
0.857096
relative_absolute_error
0.920049
relative_absolute_error
0.890138
relative_absolute_error
0.966423
relative_absolute_error
0.948232
relative_absolute_error
0.952076
relative_absolute_error
0.92652
relative_absolute_error
0.915612
relative_absolute_error
0.923595
relative_absolute_error
0.788738
relative_absolute_error
0.833986
relative_absolute_error
0.900467
relative_absolute_error
0.87318
relative_absolute_error
0.889218
relative_absolute_error
0.905304
relative_absolute_error
0.905933
relative_absolute_error
0.881769
relative_absolute_error
1.002213
relative_absolute_error
0.858369
relative_absolute_error
0.945335
relative_absolute_error
0.938927
relative_absolute_error
0.897221
relative_absolute_error
0.982377
relative_absolute_error
0.935723
relative_absolute_error
0.903737
relative_absolute_error
0.92218
relative_absolute_error
0.934148
relative_absolute_error
0.931691
relative_absolute_error
0.949017
relative_absolute_error
1.020504
relative_absolute_error
0.979873
relative_absolute_error
0.985631
relative_absolute_error
0.955897
relative_absolute_error
0.974701
relative_absolute_error
0.866755
relative_absolute_error
0.887578
relative_absolute_error
0.811623
relative_absolute_error
0.928555
relative_absolute_error
0.985318
relative_absolute_error
0.940091
relative_absolute_error
0.992006
relative_absolute_error
0.886829
relative_absolute_error
0.908762
relative_absolute_error
0.867803
relative_absolute_error
0.965083
relative_absolute_error
1.029004
relative_absolute_error
0.964418
relative_absolute_error
0.833981
relative_absolute_error
0.880021
relative_absolute_error
0.876638
relative_absolute_error
0.925045
relative_absolute_error
0.886959
relative_absolute_error
0.890058
relative_absolute_error
0.816917
relative_absolute_error
0.939682
relative_absolute_error
0.897274
relative_absolute_error
0.887765
relative_absolute_error
0.92807
relative_absolute_error
0.897813
relative_absolute_error
0.947396
relative_absolute_error
1.012012
relative_absolute_error
0.909145
relative_absolute_error
0.959263
relative_absolute_error
0.956715
relative_absolute_error
0.969019
relative_absolute_error
1.013311
relative_absolute_error
0.961408
relative_absolute_error
0.896311
relative_absolute_error
0.893812
relative_absolute_error
0.867833
relative_absolute_error
0.923453
relative_absolute_error
0.920501
relative_absolute_error
0.899012
relative_absolute_error
0.977349
relative_absolute_error
0.938453
relative_absolute_error
0.902692
relative_absolute_error
0.936015
relative_absolute_error
0.929109
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_squared_error
0.484775
root_mean_squared_error
0.475083
root_mean_squared_error
0.482018
root_mean_squared_error
0.448378
root_mean_squared_error
0.497391
root_mean_squared_error
0.490793
root_mean_squared_error
0.472783
root_mean_squared_error
0.503476
root_mean_squared_error
0.512929
root_mean_squared_error
0.48447
root_mean_squared_error
0.526851
root_mean_squared_error
0.516136
root_mean_squared_error
0.449854
root_mean_squared_error
0.526139
root_mean_squared_error
0.506395
root_mean_squared_error
0.515964
root_mean_squared_error
0.494267
root_mean_squared_error
0.518202
root_mean_squared_error
0.496632
root_mean_squared_error
0.488882
root_mean_squared_error
0.511089
root_mean_squared_error
0.508859
root_mean_squared_error
0.450209
root_mean_squared_error
0.500169
root_mean_squared_error
0.486066
root_mean_squared_error
0.507039
root_mean_squared_error
0.493271
root_mean_squared_error
0.511501
root_mean_squared_error
0.487758
root_mean_squared_error
0.487931
root_mean_squared_error
0.49198
root_mean_squared_error
0.438446
root_mean_squared_error
0.451365
root_mean_squared_error
0.48207
root_mean_squared_error
0.463395
root_mean_squared_error
0.47855
root_mean_squared_error
0.478647
root_mean_squared_error
0.481676
root_mean_squared_error
0.46756
root_mean_squared_error
0.528278
root_mean_squared_error
0.462369
root_mean_squared_error
0.499821
root_mean_squared_error
0.504624
root_mean_squared_error
0.484566
root_mean_squared_error
0.52539
root_mean_squared_error
0.495758
root_mean_squared_error
0.478608
root_mean_squared_error
0.487093
root_mean_squared_error
0.498697
root_mean_squared_error
0.496968
root_mean_squared_error
0.510202
root_mean_squared_error
0.537766
root_mean_squared_error
0.520321
root_mean_squared_error
0.53015
root_mean_squared_error
0.503533
root_mean_squared_error
0.531139
root_mean_squared_error
0.467607
root_mean_squared_error
0.45983
root_mean_squared_error
0.442489
root_mean_squared_error
0.495939
root_mean_squared_error
0.51827
root_mean_squared_error
0.49413
root_mean_squared_error
0.527618
root_mean_squared_error
0.466413
root_mean_squared_error
0.48647
root_mean_squared_error
0.468375
root_mean_squared_error
0.515655
root_mean_squared_error
0.54137
root_mean_squared_error
0.505368
root_mean_squared_error
0.444075
root_mean_squared_error
0.470281
root_mean_squared_error
0.462747
root_mean_squared_error
0.503582
root_mean_squared_error
0.472375
root_mean_squared_error
0.481801
root_mean_squared_error
0.427463
root_mean_squared_error
0.499507
root_mean_squared_error
0.477089
root_mean_squared_error
0.470315
root_mean_squared_error
0.48404
root_mean_squared_error
0.472633
root_mean_squared_error
0.496609
root_mean_squared_error
0.530972
root_mean_squared_error
0.478501
root_mean_squared_error
0.517484
root_mean_squared_error
0.508905
root_mean_squared_error
0.502094
root_mean_squared_error
0.530768
root_mean_squared_error
0.496184
root_mean_squared_error
0.480144
root_mean_squared_error
0.480531
root_mean_squared_error
0.460174
root_mean_squared_error
0.487266
root_mean_squared_error
0.483075
root_mean_squared_error
0.468214
root_mean_squared_error
0.518537
root_mean_squared_error
0.508948
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