278111
1
Jan van Rijn
4400
Supervised Classification
predictive_accuracy
1089
weka.ExtraTree(1)
1859
weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1
K
-1
1089
N
-1
1089
S
1
1089
weka
weka_3.7.12
830
fri_c2_250_10
https://www.openml.org/data/download/53364/fri_c2_250_10.arff
-1
933544
description
https://api.openml.org/data/download/933544/weka_generated_run6386086389663378163.xml
-1
933547
model_readable
https://api.openml.org/data/download/933547/WekaModel_weka.classifiers.trees.ExtraTree8546928200638929237.model
-1
933546
model_serialized
https://api.openml.org/data/download/933546/WekaSerialized_weka.classifiers.trees.ExtraTree1944916902181022056.model
-1
933545
predictions
https://api.openml.org/data/download/933545/weka_generated_predictions5794139570468616403.arff
area_under_roc_curve
0.749544 [0.749544,0.749544]
average_cost
0
f_measure
0.768318 [0.681343,0.818096]
kappa
0.49944
kb_relative_information_score
1207.98331
mean_absolute_error
0.2316
mean_prior_absolute_error
0.463302
number_of_instances
2500 [910,1590]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.768238 [0.68247,0.817326]
predictive_accuracy
0.7684
prior_entropy
0.946819
recall
0.7684 [0.68022,0.818868]
relative_absolute_error
0.49989
root_mean_prior_squared_error
0.48115
root_mean_squared_error
0.481248
root_relative_squared_error
1.000205
scimark_benchmark
1360.277112 [813.9246558745155, 1010.1992026725918, 543.1167552027886, 1106.0927691431245, 3328.0521768167096]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.795139 [0.795139,0.795139]
area_under_roc_curve
0.788194 [0.788194,0.788194]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.881944 [0.881944,0.881944]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.819444 [0.819444,0.819444]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.690972 [0.690972,0.690972]
area_under_roc_curve
0.826389 [0.826389,0.826389]
area_under_roc_curve
0.819444 [0.819444,0.819444]
area_under_roc_curve
0.96875 [0.96875,0.96875]
area_under_roc_curve
0.857639 [0.857639,0.857639]
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.684028 [0.684028,0.684028]
area_under_roc_curve
0.944444 [0.944444,0.944444]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.628472 [0.628472,0.628472]
area_under_roc_curve
0.677083 [0.677083,0.677083]
area_under_roc_curve
0.819444 [0.819444,0.819444]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.802083 [0.802083,0.802083]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.850694 [0.850694,0.850694]
area_under_roc_curve
0.802083 [0.802083,0.802083]
area_under_roc_curve
0.84375 [0.84375,0.84375]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.479167 [0.479167,0.479167]
area_under_roc_curve
0.763889 [0.763889,0.763889]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.913194 [0.913194,0.913194]
area_under_roc_curve
0.763889 [0.763889,0.763889]
area_under_roc_curve
0.802083 [0.802083,0.802083]
area_under_roc_curve
0.881944 [0.881944,0.881944]
area_under_roc_curve
0.597222 [0.597222,0.597222]
area_under_roc_curve
0.746528 [0.746528,0.746528]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.819444 [0.819444,0.819444]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.850694 [0.850694,0.850694]
area_under_roc_curve
0.597222 [0.597222,0.597222]
area_under_roc_curve
0.96875 [0.96875,0.96875]
area_under_roc_curve
0.857639 [0.857639,0.857639]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.579861 [0.579861,0.579861]
area_under_roc_curve
0.739583 [0.739583,0.739583]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.739583 [0.739583,0.739583]
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.645833 [0.645833,0.645833]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.795139 [0.795139,0.795139]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.635417 [0.635417,0.635417]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.590278 [0.590278,0.590278]
area_under_roc_curve
0.850694 [0.850694,0.850694]
area_under_roc_curve
0.746528 [0.746528,0.746528]
area_under_roc_curve
0.763889 [0.763889,0.763889]
area_under_roc_curve
0.638889 [0.638889,0.638889]
area_under_roc_curve
0.684028 [0.684028,0.684028]
area_under_roc_curve
0.565972 [0.565972,0.565972]
area_under_roc_curve
0.788194 [0.788194,0.788194]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.913194 [0.913194,0.913194]
area_under_roc_curve
0.684028 [0.684028,0.684028]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.739583 [0.739583,0.739583]
area_under_roc_curve
0.763889 [0.763889,0.763889]
area_under_roc_curve
0.670139 [0.670139,0.670139]
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.746528 [0.746528,0.746528]
area_under_roc_curve
0.795139 [0.795139,0.795139]
area_under_roc_curve
0.802083 [0.802083,0.802083]
area_under_roc_curve
0.850694 [0.850694,0.850694]
area_under_roc_curve
0.621528 [0.621528,0.621528]
area_under_roc_curve
0.732639 [0.732639,0.732639]
area_under_roc_curve
0.517361 [0.517361,0.517361]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.677083 [0.677083,0.677083]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.652778 [0.652778,0.652778]
area_under_roc_curve
0.881944 [0.881944,0.881944]
area_under_roc_curve
0.715278 [0.715278,0.715278]
area_under_roc_curve
0.826389 [0.826389,0.826389]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.739583 [0.739583,0.739583]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.616667 [0.616667,0.616667]
area_under_roc_curve
0.826389 [0.826389,0.826389]
area_under_roc_curve
0.739583 [0.739583,0.739583]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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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
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
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0
average_cost
0
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0
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0
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0
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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
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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
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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
f_measure
0.752059 [0.625,0.823529]
f_measure
0.802037 [0.736842,0.83871]
f_measure
0.764675 [0.727273,0.785714]
f_measure
0.722852 [0.631579,0.774194]
f_measure
0.881222 [0.842105,0.903226]
f_measure
0.642365 [0.571429,0.689655]
f_measure
0.791444 [0.705882,0.848485]
f_measure
0.803941 [0.761905,0.827586]
f_measure
0.797963 [0.736842,0.83871]
f_measure
0.624599 [0.470588,0.727273]
f_measure
0.739048 [0.571429,0.833333]
f_measure
0.84 [0.777778,0.875]
f_measure
0.803941 [0.761905,0.827586]
f_measure
0.960407 [0.947368,0.967742]
f_measure
0.878289 [0.823529,0.909091]
f_measure
0.752059 [0.625,0.823529]
f_measure
0.752059 [0.625,0.823529]
f_measure
0.716007 [0.588235,0.787879]
f_measure
0.95943 [0.941176,0.969697]
f_measure
0.921333 [0.9,0.933333]
f_measure
0.669412 [0.5,0.764706]
f_measure
0.685333 [0.6,0.733333]
f_measure
0.803941 [0.761905,0.827586]
f_measure
0.797148 [0.705882,0.848485]
f_measure
0.834706 [0.75,0.882353]
f_measure
0.68 [0.555556,0.75]
f_measure
0.842667 [0.8,0.866667]
f_measure
0.834706 [0.75,0.882353]
f_measure
0.803221 [0.782609,0.814815]
f_measure
0.68 [0.555556,0.75]
f_measure
0.52 [0.333333,0.625]
f_measure
0.764 [0.7,0.8]
f_measure
0.921333 [0.9,0.933333]
f_measure
0.92 [0.888889,0.9375]
f_measure
0.764 [0.7,0.8]
f_measure
0.834706 [0.75,0.882353]
f_measure
0.881222 [0.842105,0.903226]
f_measure
0.634866 [0.470588,0.727273]
f_measure
0.788571 [0.666667,0.857143]
f_measure
0.722852 [0.631579,0.774194]
f_measure
0.68 [0.555556,0.75]
f_measure
0.873143 [0.8,0.914286]
f_measure
0.803941 [0.761905,0.827586]
f_measure
0.873143 [0.8,0.914286]
f_measure
0.842667 [0.8,0.866667]
f_measure
0.634866 [0.470588,0.727273]
f_measure
0.960407 [0.947368,0.967742]
f_measure
0.878289 [0.823529,0.909091]
f_measure
0.68 [0.555556,0.75]
f_measure
0.625263 [0.333333,0.789474]
f_measure
0.76 [0.666667,0.8125]
f_measure
0.722852 [0.631579,0.774194]
f_measure
0.76 [0.666667,0.8125]
f_measure
0.752059 [0.625,0.823529]
f_measure
0.647094 [0.571429,0.689655]
f_measure
0.921333 [0.9,0.933333]
f_measure
0.802037 [0.736842,0.83871]
f_measure
0.797148 [0.705882,0.848485]
f_measure
0.685073 [0.461538,0.810811]
f_measure
0.68 [0.555556,0.75]
f_measure
0.606667 [0.5,0.666667]
f_measure
0.842667 [0.8,0.866667]
f_measure
0.788571 [0.666667,0.857143]
f_measure
0.764 [0.7,0.8]
f_measure
0.603846 [0.583333,0.615385]
f_measure
0.716007 [0.588235,0.787879]
f_measure
0.6 [0.444444,0.6875]
f_measure
0.764675 [0.727273,0.785714]
f_measure
0.797148 [0.705882,0.848485]
f_measure
0.92 [0.888889,0.9375]
f_measure
0.716007 [0.588235,0.787879]
f_measure
0.797148 [0.705882,0.848485]
f_measure
0.76 [0.666667,0.8125]
f_measure
0.764 [0.7,0.8]
f_measure
0.645797 [0.608696,0.666667]
f_measure
0.752059 [0.625,0.823529]
f_measure
0.788571 [0.666667,0.857143]
f_measure
0.802037 [0.736842,0.83871]
f_measure
0.834706 [0.75,0.882353]
f_measure
0.842667 [0.8,0.866667]
f_measure
0.643667 [0.526316,0.709677]
f_measure
0.725517 [0.666667,0.758621]
f_measure
0.565079 [0.285714,0.722222]
f_measure
0.843117 [0.818182,0.857143]
f_measure
0.685333 [0.6,0.733333]
f_measure
0.718947 [0.5,0.842105]
f_measure
0.68 [0.555556,0.75]
f_measure
0.881222 [0.842105,0.903226]
f_measure
0.752059 [0.625,0.823529]
f_measure
0.84 [0.777778,0.875]
f_measure
0.754167 [0.666667,0.8125]
f_measure
0.658824 [0.5,0.764706]
f_measure
0.682051 [0.666667,0.692308]
f_measure
0.84 [0.8,0.866667]
f_measure
0.693333 [0.533333,0.8]
f_measure
0.76 [0.666667,0.8125]
f_measure
0.797148 [0.705882,0.848485]
f_measure
0.636333 [0.526316,0.709677]
f_measure
0.84 [0.777778,0.875]
f_measure
0.76 [0.666667,0.8125]
kappa
0.452555
kappa
0.576271
kappa
0.525316
kappa
0.40678
kappa
0.745763
kappa
0.262295
kappa
0.561404
kappa
0.595469
kappa
0.576271
kappa
0.210526
kappa
0.423077
kappa
0.652778
kappa
0.595469
kappa
0.915254
kappa
0.733096
kappa
0.452555
kappa
0.452555
kappa
0.377224
kappa
0.911032
kappa
0.834437
kappa
0.270073
kappa
0.337748
kappa
0.595469
kappa
0.55516
kappa
0.635036
kappa
0.305556
kappa
0.668874
kappa
0.635036
kappa
0.613003
kappa
0.305556
kappa
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kappa
0.503311
kappa
0.834437
kappa
0.826389
kappa
0.503311
kappa
0.635036
kappa
0.745763
kappa
0.199288
kappa
0.531835
kappa
0.40678
kappa
0.305556
kappa
0.719101
kappa
0.595469
kappa
0.719101
kappa
0.668874
kappa
0.199288
kappa
0.915254
kappa
0.733096
kappa
0.305556
kappa
0.186992
kappa
0.479167
kappa
0.40678
kappa
0.479167
kappa
0.452555
kappa
0.271845
kappa
0.834437
kappa
0.576271
kappa
0.55516
kappa
0.3083
kappa
0.305556
kappa
0.172185
kappa
0.668874
kappa
0.531835
kappa
0.503311
kappa
0.242424
kappa
0.377224
kappa
0.131944
kappa
0.525316
kappa
0.55516
kappa
0.826389
kappa
0.377224
kappa
0.55516
kappa
0.479167
kappa
0.503311
kappa
0.303406
kappa
0.452555
kappa
0.531835
kappa
0.576271
kappa
0.635036
kappa
0.668874
kappa
0.237288
kappa
0.433657
kappa
0.038462
kappa
0.683544
kappa
0.337748
kappa
0.390244
kappa
0.305556
kappa
0.745763
kappa
0.452555
kappa
0.652778
kappa
0.482759
kappa
0.285714
kappa
0.375
kappa
0.666667
kappa
0.363636
kappa
0.479167
kappa
0.55516
kappa
0.237288
kappa
0.652778
kappa
0.479167
kb_relative_information_score
11.52773
kb_relative_information_score
13.755263
kb_relative_information_score
11.52773
kb_relative_information_score
9.300198
kb_relative_information_score
18.210328
kb_relative_information_score
5.688342
kb_relative_information_score
14.598472
kb_relative_information_score
13.755263
kb_relative_information_score
14.598472
kb_relative_information_score
5.688342
kb_relative_information_score
11.52773
kb_relative_information_score
15.982796
kb_relative_information_score
13.755263
kb_relative_information_score
22.665393
kb_relative_information_score
18.210328
kb_relative_information_score
11.52773
kb_relative_information_score
11.52773
kb_relative_information_score
9.300198
kb_relative_information_score
22.665393
kb_relative_information_score
20.437861
kb_relative_information_score
7.072665
kb_relative_information_score
7.072665
kb_relative_information_score
13.755263
kb_relative_information_score
13.755263
kb_relative_information_score
15.982796
kb_relative_information_score
7.072665
kb_relative_information_score
15.982796
kb_relative_information_score
15.982796
kb_relative_information_score
13.755263
kb_relative_information_score
7.072665
kb_relative_information_score
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kb_relative_information_score
11.52773
kb_relative_information_score
20.437861
kb_relative_information_score
20.437861
kb_relative_information_score
11.52773
kb_relative_information_score
15.982796
kb_relative_information_score
18.210328
kb_relative_information_score
4.845133
kb_relative_information_score
13.755263
kb_relative_information_score
9.300198
kb_relative_information_score
7.072665
kb_relative_information_score
18.210328
kb_relative_information_score
13.755263
kb_relative_information_score
18.210328
kb_relative_information_score
15.982796
kb_relative_information_score
4.845133
kb_relative_information_score
22.665393
kb_relative_information_score
18.210328
kb_relative_information_score
7.072665
kb_relative_information_score
7.072665
kb_relative_information_score
11.52773
kb_relative_information_score
9.300198
kb_relative_information_score
11.52773
kb_relative_information_score
11.52773
kb_relative_information_score
4.845133
kb_relative_information_score
20.437861
kb_relative_information_score
13.755263
kb_relative_information_score
13.755263
kb_relative_information_score
9.300198
kb_relative_information_score
7.072665
kb_relative_information_score
2.6176
kb_relative_information_score
15.982796
kb_relative_information_score
13.755263
kb_relative_information_score
11.52773
kb_relative_information_score
2.6176
kb_relative_information_score
9.300198
kb_relative_information_score
2.6176
kb_relative_information_score
11.52773
kb_relative_information_score
13.755263
kb_relative_information_score
20.437861
kb_relative_information_score
9.300198
kb_relative_information_score
13.755263
kb_relative_information_score
11.52773
kb_relative_information_score
11.52773
kb_relative_information_score
4.845133
kb_relative_information_score
11.52773
kb_relative_information_score
13.755263
kb_relative_information_score
13.755263
kb_relative_information_score
15.982796
kb_relative_information_score
15.982796
kb_relative_information_score
4.845133
kb_relative_information_score
9.300198
kb_relative_information_score
2.6176
kb_relative_information_score
15.982796
kb_relative_information_score
7.072665
kb_relative_information_score
11.52773
kb_relative_information_score
7.072665
kb_relative_information_score
18.210328
kb_relative_information_score
11.52773
kb_relative_information_score
15.982796
kb_relative_information_score
12.370939
kb_relative_information_score
7.915874
kb_relative_information_score
7.915874
kb_relative_information_score
16.826004
kb_relative_information_score
10.143407
kb_relative_information_score
11.52773
kb_relative_information_score
13.755263
kb_relative_information_score
5.688342
kb_relative_information_score
15.982796
kb_relative_information_score
11.52773
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.12
mean_absolute_error
0.36
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.36
mean_absolute_error
0.24
mean_absolute_error
0.16
mean_absolute_error
0.2
mean_absolute_error
0.04
mean_absolute_error
0.12
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.04
mean_absolute_error
0.08
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.16
mean_absolute_error
0.32
mean_absolute_error
0.16
mean_absolute_error
0.16
mean_absolute_error
0.2
mean_absolute_error
0.32
mean_absolute_error
0.48
mean_absolute_error
0.24
mean_absolute_error
0.08
mean_absolute_error
0.08
mean_absolute_error
0.24
mean_absolute_error
0.16
mean_absolute_error
0.12
mean_absolute_error
0.36
mean_absolute_error
0.2
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.12
mean_absolute_error
0.2
mean_absolute_error
0.12
mean_absolute_error
0.16
mean_absolute_error
0.36
mean_absolute_error
0.04
mean_absolute_error
0.12
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.08
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.16
mean_absolute_error
0.2
mean_absolute_error
0.24
mean_absolute_error
0.4
mean_absolute_error
0.28
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.08
mean_absolute_error
0.28
mean_absolute_error
0.2
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.16
mean_absolute_error
0.16
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.4
mean_absolute_error
0.16
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.12
mean_absolute_error
0.24
mean_absolute_error
0.16
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.16
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.36
mean_absolute_error
0.16
mean_absolute_error
0.24
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.473016
mean_prior_absolute_error
0.462222
mean_prior_absolute_error
0.462222
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [9,16]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
number_of_instances
25 [10,15]
number_of_instances
25 [9,16]
number_of_instances
25 [9,16]
precision
0.754921 [0.714286,0.777778]
precision
0.806667 [0.7,0.866667]
precision
0.808205 [0.615385,0.916667]
precision
0.728 [0.6,0.8]
precision
0.885333 [0.8,0.933333]
precision
0.646753 [0.545455,0.714286]
precision
0.809524 [0.857143,0.777778]
precision
0.830769 [0.666667,0.923077]
precision
0.798611 [0.777778,0.8125]
precision
0.628571 [0.571429,0.666667]
precision
0.768 [0.8,0.75]
precision
0.84 [0.777778,0.875]
precision
0.830769 [0.666667,0.923077]
precision
0.964 [0.9,1]
precision
0.879706 [0.875,0.882353]
precision
0.754921 [0.714286,0.777778]
precision
0.754921 [0.714286,0.777778]
precision
0.714412 [0.625,0.764706]
precision
0.962353 [1,0.941176]
precision
0.934545 [0.818182,1]
precision
0.667937 [0.571429,0.722222]
precision
0.699221 [0.545455,0.785714]
precision
0.830769 [0.666667,0.923077]
precision
0.797059 [0.75,0.823529]
precision
0.841905 [0.857143,0.833333]
precision
0.68 [0.555556,0.75]
precision
0.856104 [0.727273,0.928571]
precision
0.841905 [0.857143,0.833333]
precision
0.871429 [0.642857,1]
precision
0.68 [0.555556,0.75]
precision
0.52 [0.333333,0.625]
precision
0.777662 [0.636364,0.857143]
precision
0.934545 [0.818182,1]
precision
0.92 [0.888889,0.9375]
precision
0.777662 [0.636364,0.857143]
precision
0.841905 [0.857143,0.833333]
precision
0.885333 [0.8,0.933333]
precision
0.631765 [0.5,0.705882]
precision
0.805263 [0.833333,0.789474]
precision
0.728 [0.6,0.8]
precision
0.68 [0.555556,0.75]
precision
0.898947 [1,0.842105]
precision
0.830769 [0.666667,0.923077]
precision
0.898947 [1,0.842105]
precision
0.856104 [0.727273,0.928571]
precision
0.631765 [0.5,0.705882]
precision
0.964 [0.9,1]
precision
0.879706 [0.875,0.882353]
precision
0.68 [0.555556,0.75]
precision
0.676364 [0.666667,0.681818]
precision
0.76 [0.666667,0.8125]
precision
0.728 [0.6,0.8]
precision
0.76 [0.666667,0.8125]
precision
0.754921 [0.714286,0.777778]
precision
0.672308 [0.5,0.769231]
precision
0.934545 [0.818182,1]
precision
0.806667 [0.7,0.866667]
precision
0.797059 [0.75,0.823529]
precision
0.727143 [0.75,0.714286]
precision
0.68 [0.555556,0.75]
precision
0.620779 [0.454545,0.714286]
precision
0.856104 [0.727273,0.928571]
precision
0.805263 [0.833333,0.789474]
precision
0.777662 [0.636364,0.857143]
precision
0.68 [0.466667,0.8]
precision
0.714412 [0.625,0.764706]
precision
0.6 [0.444444,0.6875]
precision
0.808205 [0.615385,0.916667]
precision
0.797059 [0.75,0.823529]
precision
0.92 [0.888889,0.9375]
precision
0.714412 [0.625,0.764706]
precision
0.797059 [0.75,0.823529]
precision
0.76 [0.666667,0.8125]
precision
0.777662 [0.636364,0.857143]
precision
0.703636 [0.5,0.818182]
precision
0.754921 [0.714286,0.777778]
precision
0.805263 [0.833333,0.789474]
precision
0.806667 [0.7,0.866667]
precision
0.841905 [0.857143,0.833333]
precision
0.856104 [0.727273,0.928571]
precision
0.649333 [0.5,0.733333]
precision
0.751538 [0.583333,0.846154]
precision
0.56 [0.4,0.65]
precision
0.889231 [0.692308,1]
precision
0.699221 [0.545455,0.785714]
precision
0.825455 [1,0.727273]
precision
0.68 [0.555556,0.75]
precision
0.885333 [0.8,0.933333]
precision
0.754921 [0.714286,0.777778]
precision
0.84 [0.777778,0.875]
precision
0.758824 [0.75,0.764706]
precision
0.677193 [0.666667,0.684211]
precision
0.719481 [0.571429,0.818182]
precision
0.84 [0.8,0.866667]
precision
0.74 [0.8,0.7]
precision
0.76 [0.666667,0.8125]
precision
0.797059 [0.75,0.823529]
precision
0.634722 [0.555556,0.6875]
precision
0.84 [0.777778,0.875]
precision
0.76 [0.666667,0.8125]
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.88
predictive_accuracy
0.64
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.96
predictive_accuracy
0.92
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.68
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.52
predictive_accuracy
0.76
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.64
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.64
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.84
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.76
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
prior_entropy
0.946819
recall
0.76 [0.555556,0.875]
recall
0.8 [0.777778,0.8125]
recall
0.76 [0.888889,0.6875]
recall
0.72 [0.666667,0.75]
recall
0.88 [0.888889,0.875]
recall
0.64 [0.6,0.666667]
recall
0.8 [0.6,0.933333]
recall
0.8 [0.888889,0.75]
recall
0.8 [0.7,0.866667]
recall
0.64 [0.4,0.8]
recall
0.76 [0.444444,0.9375]
recall
0.84 [0.777778,0.875]
recall
0.8 [0.888889,0.75]
recall
0.96 [1,0.9375]
recall
0.88 [0.777778,0.9375]
recall
0.76 [0.555556,0.875]
recall
0.76 [0.555556,0.875]
recall
0.72 [0.555556,0.8125]
recall
0.96 [0.888889,1]
recall
0.92 [1,0.875]
recall
0.68 [0.444444,0.8125]
recall
0.68 [0.666667,0.6875]
recall
0.8 [0.888889,0.75]
recall
0.8 [0.666667,0.875]
recall
0.84 [0.666667,0.9375]
recall
0.68 [0.555556,0.75]
recall
0.84 [0.888889,0.8125]
recall
0.84 [0.666667,0.9375]
recall
0.8 [1,0.6875]
recall
0.68 [0.555556,0.75]
recall
0.52 [0.333333,0.625]
recall
0.76 [0.777778,0.75]
recall
0.92 [1,0.875]
recall
0.92 [0.888889,0.9375]
recall
0.76 [0.777778,0.75]
recall
0.84 [0.666667,0.9375]
recall
0.88 [0.888889,0.875]
recall
0.64 [0.444444,0.75]
recall
0.8 [0.555556,0.9375]
recall
0.72 [0.666667,0.75]
recall
0.68 [0.555556,0.75]
recall
0.88 [0.666667,1]
recall
0.8 [0.888889,0.75]
recall
0.88 [0.666667,1]
recall
0.84 [0.888889,0.8125]
recall
0.64 [0.444444,0.75]
recall
0.96 [1,0.9375]
recall
0.88 [0.777778,0.9375]
recall
0.68 [0.555556,0.75]
recall
0.68 [0.222222,0.9375]
recall
0.76 [0.666667,0.8125]
recall
0.72 [0.666667,0.75]
recall
0.76 [0.666667,0.8125]
recall
0.76 [0.555556,0.875]
recall
0.64 [0.666667,0.625]
recall
0.92 [1,0.875]
recall
0.8 [0.777778,0.8125]
recall
0.8 [0.666667,0.875]
recall
0.72 [0.333333,0.9375]
recall
0.68 [0.555556,0.75]
recall
0.6 [0.555556,0.625]
recall
0.84 [0.888889,0.8125]
recall
0.8 [0.555556,0.9375]
recall
0.76 [0.777778,0.75]
recall
0.6 [0.777778,0.5]
recall
0.72 [0.555556,0.8125]
recall
0.6 [0.444444,0.6875]
recall
0.76 [0.888889,0.6875]
recall
0.8 [0.666667,0.875]
recall
0.92 [0.888889,0.9375]
recall
0.72 [0.555556,0.8125]
recall
0.8 [0.666667,0.875]
recall
0.76 [0.666667,0.8125]
recall
0.76 [0.777778,0.75]
recall
0.64 [0.777778,0.5625]
recall
0.76 [0.555556,0.875]
recall
0.8 [0.555556,0.9375]
recall
0.8 [0.777778,0.8125]
recall
0.84 [0.666667,0.9375]
recall
0.84 [0.888889,0.8125]
recall
0.64 [0.555556,0.6875]
recall
0.72 [0.777778,0.6875]
recall
0.6 [0.222222,0.8125]
recall
0.84 [1,0.75]
recall
0.68 [0.666667,0.6875]
recall
0.76 [0.333333,1]
recall
0.68 [0.555556,0.75]
recall
0.88 [0.888889,0.875]
recall
0.76 [0.555556,0.875]
recall
0.84 [0.777778,0.875]
recall
0.76 [0.6,0.866667]
recall
0.68 [0.4,0.866667]
recall
0.68 [0.8,0.6]
recall
0.84 [0.8,0.866667]
recall
0.72 [0.4,0.933333]
recall
0.76 [0.666667,0.8125]
recall
0.8 [0.666667,0.875]
recall
0.64 [0.5,0.733333]
recall
0.84 [0.777778,0.875]
recall
0.76 [0.666667,0.8125]
relative_absolute_error
0.519231
relative_absolute_error
0.432692
relative_absolute_error
0.519231
relative_absolute_error
0.605769
relative_absolute_error
0.259615
relative_absolute_error
0.761074
relative_absolute_error
0.422819
relative_absolute_error
0.432692
relative_absolute_error
0.422819
relative_absolute_error
0.761074
relative_absolute_error
0.519231
relative_absolute_error
0.346154
relative_absolute_error
0.432692
relative_absolute_error
0.086538
relative_absolute_error
0.259615
relative_absolute_error
0.519231
relative_absolute_error
0.519231
relative_absolute_error
0.605769
relative_absolute_error
0.086538
relative_absolute_error
0.173077
relative_absolute_error
0.692308
relative_absolute_error
0.692308
relative_absolute_error
0.432692
relative_absolute_error
0.432692
relative_absolute_error
0.346154
relative_absolute_error
0.692308
relative_absolute_error
0.346154
relative_absolute_error
0.346154
relative_absolute_error
0.432692
relative_absolute_error
0.692308
relative_absolute_error
1.038462
relative_absolute_error
0.519231
relative_absolute_error
0.173077
relative_absolute_error
0.173077
relative_absolute_error
0.519231
relative_absolute_error
0.346154
relative_absolute_error
0.259615
relative_absolute_error
0.778846
relative_absolute_error
0.432692
relative_absolute_error
0.605769
relative_absolute_error
0.692308
relative_absolute_error
0.259615
relative_absolute_error
0.432692
relative_absolute_error
0.259615
relative_absolute_error
0.346154
relative_absolute_error
0.778846
relative_absolute_error
0.086538
relative_absolute_error
0.259615
relative_absolute_error
0.692308
relative_absolute_error
0.692308
relative_absolute_error
0.519231
relative_absolute_error
0.605769
relative_absolute_error
0.519231
relative_absolute_error
0.519231
relative_absolute_error
0.778846
relative_absolute_error
0.173077
relative_absolute_error
0.432692
relative_absolute_error
0.432692
relative_absolute_error
0.605769
relative_absolute_error
0.692308
relative_absolute_error
0.865385
relative_absolute_error
0.346154
relative_absolute_error
0.432692
relative_absolute_error
0.519231
relative_absolute_error
0.865385
relative_absolute_error
0.605769
relative_absolute_error
0.865385
relative_absolute_error
0.519231
relative_absolute_error
0.432692
relative_absolute_error
0.173077
relative_absolute_error
0.605769
relative_absolute_error
0.432692
relative_absolute_error
0.519231
relative_absolute_error
0.519231
relative_absolute_error
0.778846
relative_absolute_error
0.519231
relative_absolute_error
0.432692
relative_absolute_error
0.432692
relative_absolute_error
0.346154
relative_absolute_error
0.346154
relative_absolute_error
0.778846
relative_absolute_error
0.605769
relative_absolute_error
0.865385
relative_absolute_error
0.346154
relative_absolute_error
0.692308
relative_absolute_error
0.519231
relative_absolute_error
0.692308
relative_absolute_error
0.259615
relative_absolute_error
0.519231
relative_absolute_error
0.346154
relative_absolute_error
0.507383
relative_absolute_error
0.67651
relative_absolute_error
0.67651
relative_absolute_error
0.338255
relative_absolute_error
0.591946
relative_absolute_error
0.519231
relative_absolute_error
0.432692
relative_absolute_error
0.761074
relative_absolute_error
0.346154
relative_absolute_error
0.519231
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.491141
root_mean_prior_squared_error
0.480027
root_mean_prior_squared_error
0.480027
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.34641
root_mean_squared_error
0.6
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.6
root_mean_squared_error
0.489898
root_mean_squared_error
0.4
root_mean_squared_error
0.447214
root_mean_squared_error
0.2
root_mean_squared_error
0.34641
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.2
root_mean_squared_error
0.282843
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.4
root_mean_squared_error
0.565685
root_mean_squared_error
0.4
root_mean_squared_error
0.4
root_mean_squared_error
0.447214
root_mean_squared_error
0.565685
root_mean_squared_error
0.69282
root_mean_squared_error
0.489898
root_mean_squared_error
0.282843
root_mean_squared_error
0.282843
root_mean_squared_error
0.489898
root_mean_squared_error
0.4
root_mean_squared_error
0.34641
root_mean_squared_error
0.6
root_mean_squared_error
0.447214
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.34641
root_mean_squared_error
0.447214
root_mean_squared_error
0.34641
root_mean_squared_error
0.4
root_mean_squared_error
0.6
root_mean_squared_error
0.2
root_mean_squared_error
0.34641
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.6
root_mean_squared_error
0.282843
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.4
root_mean_squared_error
0.447214
root_mean_squared_error
0.489898
root_mean_squared_error
0.632456
root_mean_squared_error
0.52915
root_mean_squared_error
0.632456
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.282843
root_mean_squared_error
0.52915
root_mean_squared_error
0.447214
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.6
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.4
root_mean_squared_error
0.4
root_mean_squared_error
0.6
root_mean_squared_error
0.52915
root_mean_squared_error
0.632456
root_mean_squared_error
0.4
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.34641
root_mean_squared_error
0.489898
root_mean_squared_error
0.4
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.4
root_mean_squared_error
0.52915
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.6
root_mean_squared_error
0.4
root_mean_squared_error
0.489898
root_relative_squared_error
1.020564
root_relative_squared_error
0.931643
root_relative_squared_error
1.020564
root_relative_squared_error
1.102335
root_relative_squared_error
0.721647
root_relative_squared_error
1.221645
root_relative_squared_error
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