286394
2
Joaquin Vanschoren
4382
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
812
fri_c1_100_25
https://www.openml.org/data/download/53346/fri_c1_100_25.arff
-1
964412
description
https://api.openml.org/data/download/964412/weka_generated_run4868858007318550062.xml
-1
964415
model_readable
https://api.openml.org/data/download/964415/WekaModel_weka.classifiers.trees.ExtraTree4173870795467258957.model
-1
964414
model_serialized
https://api.openml.org/data/download/964414/WekaSerialized_weka.classifiers.trees.ExtraTree667117921722824896.model
-1
964413
predictions
https://api.openml.org/data/download/964413/weka_generated_predictions7844090310960994158.arff
area_under_roc_curve
0.60831 [0.60831,0.60831]
average_cost
0
f_measure
0.610541 [0.569845,0.64663]
kappa
0.217616
kb_relative_information_score
220.011795
mean_absolute_error
0.388
mean_prior_absolute_error
0.498235
number_of_instances
1000 [470,530]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.610856 [0.594907,0.625]
predictive_accuracy
0.612
prior_entropy
0.997503
recall
0.612 [0.546809,0.669811]
relative_absolute_error
0.778749
root_mean_prior_squared_error
0.4991
root_mean_squared_error
0.622896
root_relative_squared_error
1.248041
scimark_benchmark
1345.842015 [812.0300923888153, 945.5128225888903, 526.3440412149175, 1112.193413169667, 3333.1297031675517]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.416667 [0.416667,0.416667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.416667 [0.416667,0.416667]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.541667 [0.541667,0.541667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.3 [0.3,0.3]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.416667 [0.416667,0.416667]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.3 [0.3,0.3]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.5 [0.5,0.5]
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
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
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
f_measure
0.4 [0.4,0.4]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.6 [0.6,0.6]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.342857 [0,0.571429]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.6 [0.6,0.6]
f_measure
0.52381 [0.333333,0.714286]
f_measure
0.375 [0.25,0.5]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.4 [0.4,0.4]
f_measure
0.375 [0.25,0.5]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.8 [0.8,0.8]
f_measure
0.6 [0.6,0.6]
f_measure
0.4 [0.25,0.5]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.285714 [0,0.571429]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.6 [0.6,0.6]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.375 [0.25,0.5]
f_measure
0.450549 [0.615385,0.285714]
f_measure
0.6 [0.6,0.6]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.450549 [0.285714,0.615385]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.494949 [0.545455,0.444444]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.450549 [0.285714,0.615385]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.230769 [0,0.461538]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.483516 [0.285714,0.615385]
f_measure
0.4 [0.25,0.5]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.4 [0.4,0.4]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.6 [0.5,0.666667]
f_measure
0.285714 [0,0.571429]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.4 [0.25,0.5]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.4 [0.4,0.4]
f_measure
0.342857 [0,0.571429]
f_measure
0.278788 [0.363636,0.222222]
f_measure
0.6 [0.6,0.6]
f_measure
0.4 [0.25,0.5]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.8 [0.75,0.833333]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.292929 [0.363636,0.222222]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.6 [0.6,0.6]
f_measure
1 [1,1]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.8 [0.75,0.833333]
f_measure
0.505051 [0.444444,0.545455]
kappa
-0.153846
kappa
0
kappa
0.4
kappa
0.2
kappa
0.4
kappa
0.8
kappa
0
kappa
-0.363636
kappa
0
kappa
0.6
kappa
0.4
kappa
0.2
kappa
0.2
kappa
-0.2
kappa
0.347826
kappa
0.4
kappa
0
kappa
-0.153846
kappa
-0.2
kappa
0.6
kappa
0.090909
kappa
0
kappa
0.6
kappa
0.2
kappa
-0.25
kappa
0.2
kappa
0.4
kappa
0.4
kappa
0.8
kappa
0.4
kappa
-0.2
kappa
0.2
kappa
0
kappa
0.6
kappa
0.4
kappa
0.2
kappa
0.4
kappa
0.4
kappa
0.8
kappa
0.6
kappa
-0.2
kappa
0
kappa
0.2
kappa
0.6
kappa
0.6
kappa
0
kappa
0
kappa
0.2
kappa
0.6
kappa
0.2
kappa
0.8
kappa
0
kappa
0.2
kappa
0.6
kappa
0.4
kappa
0
kappa
0
kappa
0.4
kappa
0.2
kappa
0.2
kappa
0.6
kappa
-0.4
kappa
0.2
kappa
0.2
kappa
0.8
kappa
0.4
kappa
0.2
kappa
0.4
kappa
0.4
kappa
0.2
kappa
0.4
kappa
-0.086957
kappa
-0.25
kappa
0.782609
kappa
-0.2
kappa
0.4
kappa
0.166667
kappa
-0.2
kappa
0
kappa
-0.25
kappa
0.2
kappa
-0.153846
kappa
-0.363636
kappa
-0.296296
kappa
0.2
kappa
-0.25
kappa
0.444444
kappa
0.2
kappa
0.583333
kappa
0.4
kappa
-0.4
kappa
0
kappa
0.444444
kappa
0.347826
kappa
0
kappa
0.230769
kappa
1
kappa
0.2
kappa
0.583333
kappa
0
kb_relative_information_score
-2.180371
kb_relative_information_score
0
kb_relative_information_score
4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
3.849691
kb_relative_information_score
8.040082
kb_relative_information_score
0
kb_relative_information_score
-2.180371
kb_relative_information_score
0
kb_relative_information_score
6.030062
kb_relative_information_score
3.849691
kb_relative_information_score
2.010021
kb_relative_information_score
2.010021
kb_relative_information_score
-2.010021
kb_relative_information_score
3.849691
kb_relative_information_score
4.020041
kb_relative_information_score
0
kb_relative_information_score
-2.180371
kb_relative_information_score
-2.010021
kb_relative_information_score
6.030062
kb_relative_information_score
1.83967
kb_relative_information_score
0
kb_relative_information_score
6.030062
kb_relative_information_score
2.010021
kb_relative_information_score
-2.180371
kb_relative_information_score
2.010021
kb_relative_information_score
4.020041
kb_relative_information_score
3.849691
kb_relative_information_score
8.040082
kb_relative_information_score
4.020041
kb_relative_information_score
-2.010021
kb_relative_information_score
2.010021
kb_relative_information_score
0
kb_relative_information_score
6.030062
kb_relative_information_score
4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
4.020041
kb_relative_information_score
4.020041
kb_relative_information_score
8.040082
kb_relative_information_score
6.030062
kb_relative_information_score
-2.010021
kb_relative_information_score
0
kb_relative_information_score
2.010021
kb_relative_information_score
6.030062
kb_relative_information_score
6.030062
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
2.010021
kb_relative_information_score
6.030062
kb_relative_information_score
2.010021
kb_relative_information_score
8.040082
kb_relative_information_score
0
kb_relative_information_score
2.010021
kb_relative_information_score
6.030062
kb_relative_information_score
4.020041
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
2.010021
kb_relative_information_score
6.030062
kb_relative_information_score
-4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
2.010021
kb_relative_information_score
8.040082
kb_relative_information_score
4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
4.020041
kb_relative_information_score
4.020041
kb_relative_information_score
2.010021
kb_relative_information_score
4.020041
kb_relative_information_score
-0.17035
kb_relative_information_score
-2.180371
kb_relative_information_score
7.869732
kb_relative_information_score
-2.010021
kb_relative_information_score
3.849691
kb_relative_information_score
1.83967
kb_relative_information_score
-2.010021
kb_relative_information_score
-0.17035
kb_relative_information_score
-2.180371
kb_relative_information_score
2.010021
kb_relative_information_score
-2.180371
kb_relative_information_score
-2.180371
kb_relative_information_score
-4.190392
kb_relative_information_score
2.010021
kb_relative_information_score
-2.180371
kb_relative_information_score
3.849691
kb_relative_information_score
2.010021
kb_relative_information_score
5.859711
kb_relative_information_score
3.849691
kb_relative_information_score
-4.020041
kb_relative_information_score
-0.17035
kb_relative_information_score
3.849691
kb_relative_information_score
3.849691
kb_relative_information_score
0
kb_relative_information_score
1.83967
kb_relative_information_score
9.879753
kb_relative_information_score
2.010021
kb_relative_information_score
5.859711
kb_relative_information_score
-0.17035
mean_absolute_error
0.6
mean_absolute_error
0.5
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.6
mean_absolute_error
0.5
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.6
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.5
mean_absolute_error
0.6
mean_absolute_error
0.6
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.5
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.6
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.6
mean_absolute_error
0.4
mean_absolute_error
0.5
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.2
mean_absolute_error
0.6
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.7
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.5
mean_absolute_error
0.6
mean_absolute_error
0.1
mean_absolute_error
0.6
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.6
mean_absolute_error
0.5
mean_absolute_error
0.6
mean_absolute_error
0.4
mean_absolute_error
0.6
mean_absolute_error
0.6
mean_absolute_error
0.7
mean_absolute_error
0.4
mean_absolute_error
0.6
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.7
mean_absolute_error
0.5
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
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
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
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
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
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
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
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
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
precision
0.433333 [0.333333,0.5]
precision
0.5 [0.5,0.5]
precision
0.708333 [0.75,0.666667]
precision
0.6 [0.6,0.6]
precision
0.72 [0.6,0.8]
precision
0.916667 [1,0.833333]
precision
0.5 [0.5,0.5]
precision
0.3 [0,0.5]
precision
0.5 [0.5,0.5]
precision
0.857143 [1,0.714286]
precision
0.72 [0.6,0.8]
precision
0.6 [0.6,0.6]
precision
0.777778 [1,0.555556]
precision
0.380952 [0.333333,0.428571]
precision
0.695238 [0.666667,0.714286]
precision
0.708333 [0.666667,0.75]
precision
0.5 [0.5,0.5]
precision
0.433333 [0.333333,0.5]
precision
0.380952 [0.333333,0.428571]
precision
0.857143 [1,0.714286]
precision
0.575 [0.5,0.625]
precision
0.5 [0.5,0.5]
precision
0.8 [0.8,0.8]
precision
0.6 [0.6,0.6]
precision
0.4 [0.25,0.5]
precision
0.619048 [0.666667,0.571429]
precision
0.708333 [0.75,0.666667]
precision
0.72 [0.6,0.8]
precision
0.916667 [0.833333,1]
precision
0.8125 [1,0.625]
precision
0.222222 [0,0.444444]
precision
0.619048 [0.666667,0.571429]
precision
0.5 [0.5,0.5]
precision
0.857143 [0.714286,1]
precision
0.8125 [1,0.625]
precision
0.6 [0.6,0.6]
precision
0.708333 [0.75,0.666667]
precision
0.8125 [1,0.625]
precision
0.916667 [1,0.833333]
precision
0.857143 [0.714286,1]
precision
0.380952 [0.333333,0.428571]
precision
0.5 [0.5,0.5]
precision
0.6 [0.6,0.6]
precision
0.857143 [1,0.714286]
precision
0.857143 [0.714286,1]
precision
0.5 [0.5,0.5]
precision
0.5 [0.5,0.5]
precision
0.619048 [0.666667,0.571429]
precision
0.857143 [1,0.714286]
precision
0.619048 [0.666667,0.571429]
precision
0.916667 [1,0.833333]
precision
0.5 [0.5,0.5]
precision
0.619048 [0.571429,0.666667]
precision
0.857143 [1,0.714286]
precision
0.708333 [0.75,0.666667]
precision
0.5 [0.5,0.5]
precision
0.5 [0.5,0.5]
precision
0.708333 [0.75,0.666667]
precision
0.619048 [0.666667,0.571429]
precision
0.6 [0.6,0.6]
precision
0.857143 [1,0.714286]
precision
0.1875 [0,0.375]
precision
0.6 [0.6,0.6]
precision
0.619048 [0.571429,0.666667]
precision
0.916667 [0.833333,1]
precision
0.708333 [0.75,0.666667]
precision
0.619048 [0.571429,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.708333 [0.666667,0.75]
precision
0.6 [0.6,0.6]
precision
0.708333 [0.666667,0.75]
precision
0.47619 [0.333333,0.571429]
precision
0.4 [0.25,0.5]
precision
0.914286 [1,0.857143]
precision
0.4 [0.4,0.4]
precision
0.72 [0.6,0.8]
precision
0.6 [0.5,0.666667]
precision
0.222222 [0,0.444444]
precision
0.52 [0.4,0.6]
precision
0.4 [0.25,0.5]
precision
0.619048 [0.666667,0.571429]
precision
0.433333 [0.333333,0.5]
precision
0.3 [0,0.5]
precision
0.314286 [0.285714,0.333333]
precision
0.6 [0.6,0.6]
precision
0.4 [0.25,0.5]
precision
0.828571 [0.571429,1]
precision
0.619048 [0.571429,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.72 [0.6,0.8]
precision
0.291667 [0.333333,0.25]
precision
0.52 [0.4,0.6]
precision
0.828571 [0.571429,1]
precision
0.695238 [0.666667,0.714286]
precision
0.5 [0.5,0.5]
precision
0.65 [0.5,0.75]
precision
1 [1,1]
precision
0.619048 [0.571429,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.52 [0.4,0.6]
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.3
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.3
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.3
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.5
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
recall
0.4 [0.5,0.333333]
recall
0.5 [0.4,0.6]
recall
0.7 [0.6,0.8]
recall
0.6 [0.6,0.6]
recall
0.7 [0.75,0.666667]
recall
0.9 [0.8,1]
recall
0.5 [0.4,0.6]
recall
0.4 [0,0.666667]
recall
0.5 [0.4,0.6]
recall
0.8 [0.6,1]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.6,0.6]
recall
0.6 [0.2,1]
recall
0.4 [0.2,0.6]
recall
0.7 [0.5,0.833333]
recall
0.7 [0.8,0.6]
recall
0.5 [0.4,0.6]
recall
0.4 [0.5,0.333333]
recall
0.4 [0.2,0.6]
recall
0.8 [0.6,1]
recall
0.6 [0.25,0.833333]
recall
0.5 [0.4,0.6]
recall
0.8 [0.8,0.8]
recall
0.6 [0.6,0.6]
recall
0.4 [0.25,0.5]
recall
0.6 [0.4,0.8]
recall
0.7 [0.6,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [1,0.8]
recall
0.7 [0.4,1]
recall
0.4 [0,0.8]
recall
0.6 [0.4,0.8]
recall
0.5 [0.4,0.6]
recall
0.8 [1,0.6]
recall
0.7 [0.4,1]
recall
0.6 [0.6,0.6]
recall
0.7 [0.6,0.8]
recall
0.7 [0.4,1]
recall
0.9 [0.8,1]
recall
0.8 [1,0.6]
recall
0.4 [0.2,0.6]
recall
0.5 [0.8,0.2]
recall
0.6 [0.6,0.6]
recall
0.8 [0.6,1]
recall
0.8 [1,0.6]
recall
0.5 [0.4,0.6]
recall
0.5 [0.2,0.8]
recall
0.6 [0.4,0.8]
recall
0.8 [0.6,1]
recall
0.6 [0.4,0.8]
recall
0.9 [0.8,1]
recall
0.5 [0.6,0.4]
recall
0.6 [0.8,0.4]
recall
0.8 [0.6,1]
recall
0.7 [0.6,0.8]
recall
0.5 [0.2,0.8]
recall
0.5 [0.4,0.6]
recall
0.7 [0.6,0.8]
recall
0.6 [0.4,0.8]
recall
0.6 [0.6,0.6]
recall
0.8 [0.6,1]
recall
0.3 [0,0.6]
recall
0.6 [0.6,0.6]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.8]
recall
0.7 [0.6,0.8]
recall
0.6 [0.8,0.4]
recall
0.7 [0.6,0.8]
recall
0.7 [0.8,0.6]
recall
0.6 [0.6,0.6]
recall
0.7 [0.8,0.6]
recall
0.5 [0.25,0.666667]
recall
0.4 [0.25,0.5]
recall
0.9 [0.75,1]
recall
0.4 [0.4,0.4]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.5,0.666667]
recall
0.4 [0,0.8]
recall
0.5 [0.5,0.5]
recall
0.4 [0.25,0.5]
recall
0.6 [0.4,0.8]
recall
0.4 [0.5,0.333333]
recall
0.4 [0,0.666667]
recall
0.3 [0.5,0.166667]
recall
0.6 [0.6,0.6]
recall
0.4 [0.25,0.5]
recall
0.7 [1,0.5]
recall
0.6 [0.8,0.4]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.75,0.666667]
recall
0.3 [0.4,0.2]
recall
0.5 [0.5,0.5]
recall
0.7 [1,0.5]
recall
0.7 [0.5,0.833333]
recall
0.5 [0.4,0.6]
recall
0.6 [0.75,0.5]
recall
1 [1,1]
recall
0.6 [0.8,0.4]
recall
0.8 [0.75,0.833333]
recall
0.5 [0.5,0.5]
relative_absolute_error
1.214286
relative_absolute_error
1
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.607143
relative_absolute_error
0.2
relative_absolute_error
1
relative_absolute_error
1.214286
relative_absolute_error
1
relative_absolute_error
0.4
relative_absolute_error
0.607143
relative_absolute_error
0.8
relative_absolute_error
0.8
relative_absolute_error
1.2
relative_absolute_error
0.607143
relative_absolute_error
0.6
relative_absolute_error
1
relative_absolute_error
1.214286
relative_absolute_error
1.2
relative_absolute_error
0.4
relative_absolute_error
0.809524
relative_absolute_error
1
relative_absolute_error
0.4
relative_absolute_error
0.8
relative_absolute_error
1.214286
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
0.607143
relative_absolute_error
0.2
relative_absolute_error
0.6
relative_absolute_error
1.2
relative_absolute_error
0.8
relative_absolute_error
1
relative_absolute_error
0.4
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
0.6
relative_absolute_error
0.2
relative_absolute_error
0.4
relative_absolute_error
1.2
relative_absolute_error
1
relative_absolute_error
0.8
relative_absolute_error
0.4
relative_absolute_error
0.4
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
0.8
relative_absolute_error
0.4
relative_absolute_error
0.8
relative_absolute_error
0.2
relative_absolute_error
1
relative_absolute_error
0.8
relative_absolute_error
0.4
relative_absolute_error
0.6
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.8
relative_absolute_error
0.4
relative_absolute_error
1.4
relative_absolute_error
0.8
relative_absolute_error
0.8
relative_absolute_error
0.2
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
1.011905
relative_absolute_error
1.214286
relative_absolute_error
0.202381
relative_absolute_error
1.2
relative_absolute_error
0.607143
relative_absolute_error
0.809524
relative_absolute_error
1.2
relative_absolute_error
1.011905
relative_absolute_error
1.214286
relative_absolute_error
0.8
relative_absolute_error
1.214286
relative_absolute_error
1.214286
relative_absolute_error
1.416667
relative_absolute_error
0.8
relative_absolute_error
1.214286
relative_absolute_error
0.607143
relative_absolute_error
0.8
relative_absolute_error
0.404762
relative_absolute_error
0.607143
relative_absolute_error
1.4
relative_absolute_error
1.011905
relative_absolute_error
0.607143
relative_absolute_error
0.607143
relative_absolute_error
1
relative_absolute_error
0.809524
relative_absolute_error
0
relative_absolute_error
0.8
relative_absolute_error
0.404762
relative_absolute_error
1.011905
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_squared_error
0.774597
root_mean_squared_error
0.707107
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.774597
root_mean_squared_error
0.707107
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.774597
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.707107
root_mean_squared_error
0.774597
root_mean_squared_error
0.774597
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.707107
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.774597
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.774597
root_mean_squared_error
0.632456
root_mean_squared_error
0.707107
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.447214
root_mean_squared_error
0.774597
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.83666
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.707107
root_mean_squared_error
0.774597
root_mean_squared_error
0.316228
root_mean_squared_error
0.774597
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.774597
root_mean_squared_error
0.707107
root_mean_squared_error
0.774597
root_mean_squared_error
0.632456
root_mean_squared_error
0.774597
root_mean_squared_error
0.774597
root_mean_squared_error
0.83666
root_mean_squared_error
0.632456
root_mean_squared_error
0.774597
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.83666
root_mean_squared_error
0.707107
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.707107
root_relative_squared_error
1.564977
root_relative_squared_error
1.411773
root_relative_squared_error
1.093555
root_relative_squared_error
1.262728
root_relative_squared_error
1.106606
root_relative_squared_error
0.631364
root_relative_squared_error
1.411773
root_relative_squared_error
1.564977
root_relative_squared_error
1.411773
root_relative_squared_error
0.892884
root_relative_squared_error
1.106606
root_relative_squared_error
1.262728
root_relative_squared_error
1.262728
root_relative_squared_error
1.54652
root_relative_squared_error
1.106606
root_relative_squared_error
1.093555
root_relative_squared_error
1.411773
root_relative_squared_error
1.564977
root_relative_squared_error
1.54652
root_relative_squared_error
0.892884
root_relative_squared_error
1.277798
root_relative_squared_error
1.411773
root_relative_squared_error
0.892884
root_relative_squared_error
1.262728
root_relative_squared_error
1.564977
root_relative_squared_error
1.262728
root_relative_squared_error
1.093555
root_relative_squared_error
1.106606
root_relative_squared_error
0.631364
root_relative_squared_error
1.093555
root_relative_squared_error
1.54652
root_relative_squared_error
1.262728
root_relative_squared_error
1.411773
root_relative_squared_error
0.892884
root_relative_squared_error
1.093555
root_relative_squared_error
1.262728
root_relative_squared_error
1.093555
root_relative_squared_error
1.093555
root_relative_squared_error
0.631364
root_relative_squared_error
0.892884
root_relative_squared_error
1.54652
root_relative_squared_error
1.411773
root_relative_squared_error
1.262728
root_relative_squared_error
0.892884
root_relative_squared_error
0.892884
root_relative_squared_error
1.411773
root_relative_squared_error
1.411773
root_relative_squared_error
1.262728
root_relative_squared_error
0.892884
root_relative_squared_error
1.262728
root_relative_squared_error
0.631364
root_relative_squared_error
1.411773
root_relative_squared_error
1.262728
root_relative_squared_error
0.892884
root_relative_squared_error
1.093555
root_relative_squared_error
1.411773
root_relative_squared_error
1.411773
root_relative_squared_error
1.093555
root_relative_squared_error
1.262728
root_relative_squared_error
1.262728
root_relative_squared_error
0.892884
root_relative_squared_error
1.670433
root_relative_squared_error
1.262728
root_relative_squared_error
1.262728
root_relative_squared_error
0.631364
root_relative_squared_error
1.093555
root_relative_squared_error
1.262728
root_relative_squared_error
1.093555
root_relative_squared_error
1.093555
root_relative_squared_error
1.262728
root_relative_squared_error
1.093555
root_relative_squared_error
1.428622
root_relative_squared_error
1.564977
root_relative_squared_error
0.638899
root_relative_squared_error
1.54652
root_relative_squared_error
1.106606
root_relative_squared_error
1.277798
root_relative_squared_error
1.54652
root_relative_squared_error
1.428622
root_relative_squared_error
1.564977
root_relative_squared_error
1.262728
root_relative_squared_error
1.564977
root_relative_squared_error
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