432854
2
Joaquin Vanschoren
1887
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2064
weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 40 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
R
1.0
1164
A
5
1164
M
-1
1164
G
3
1196
H
3
1196
P
50
1196
F
weka.filters.unsupervised.attribute.PrincipalComponents
1196
S
1
1196
num-slots
1
1196
I
40
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
7
audiology
https://www.openml.org/data/download/7/dataset_7_audiology.arff
-1
1512574
description
https://api.openml.org/data/download/1512574/weka_generated_run6560698721301362230.xml
-1
1512577
model_readable
https://api.openml.org/data/download/1512577/WekaModel_weka.classifiers.meta.RotationForest6882534757087140020.model
-1
1512576
model_serialized
https://api.openml.org/data/download/1512576/WekaSerialized_weka.classifiers.meta.RotationForest9126732159621529758.model
-1
1512575
predictions
https://api.openml.org/data/download/1512575/weka_generated_predictions5000254427283736587.arff
area_under_roc_curve
0.962451 [0.352667,0.318,0.991021,0.984347,0.318222,0.991473,0.989828,0.967154,0.983281,1,0.992991,0.990574,0.981127,0.999487,1,1,0.436444,1,0.937604,0.82987,0.272222,1,0.973753,0.928415]
average_cost
0
f_measure
0.786081 [0,0,0.92931,0.857143,0,0,0.826087,0.835631,0.08,0.991736,0.235294,0.602151,0,0.173913,0.972973,0.75,0,0.090909,0.814159,0.236842,0,0.952381,0.75,0]
kappa
0.774943
kb_relative_information_score
1620.833274
mean_absolute_error
0.023892
mean_prior_absolute_error
0.072392
number_of_instances
2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.776936 [0,0,0.913559,0.829787,0,0,0.730769,0.850972,0.066667,0.983607,0.285714,0.528302,0,0.666667,0.947368,0.6,0,0.5,0.793103,0.25,0,0.909091,0.791667,0]
predictive_accuracy
0.807522
prior_entropy
3.634907
recall
0.807522 [0,0,0.945614,0.886364,0,0,0.95,0.820833,0.1,1,0.2,0.7,0,0.1,1,1,0,0.05,0.836364,0.225,0,1,0.7125,0]
relative_absolute_error
0.330037
root_mean_prior_squared_error
0.189308
root_mean_squared_error
0.108406
root_relative_squared_error
0.572641
scimark_benchmark
939.724095 [561.2099798973987, 1014.4538012229739, 474.2676028917832, 897.1389670094607, 1751.5501218345944]
total_cost
0
usercpu_time_millis
2090
usercpu_time_millis_testing
900
usercpu_time_millis_training
1190
area_under_roc_curve
0.986197 [0.0,0.0,1,1,0.0,1,0.97619,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.970466 [0.0,0.0,1,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.431818,0.0,0.0,1,0.0]
area_under_roc_curve
0.922514 [0.5,0.0,0.970588,0.952381,0.0,0.0,1,0.977778,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.857143,0.386364,0.0,1,0.0,0.0]
area_under_roc_curve
0.995423 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.997585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1]
area_under_roc_curve
0.984023 [0.0,0.0,1,0.983333,0.0,0.0,1,0.955556,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.98627 [0.0,0.0,1,1,0.0,0.0,1,0.921053,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.969583 [0.0,0.0,0.960784,0.952381,0.0,0.0,1,0.95,1,1,1,0.0,1,0.0,1,0.0,0.0,0.0,0.940476,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.979124 [0.0,0.0,1,1,0.0,0.0,1,0.927778,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.940476,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.987984 [0.0,0.0,0.980392,0.97619,0.0,1,1,0.977778,0.0,0.0,1,0.0,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.982747 [0.0,0.0,1,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.857143,0.0,0.0,0.0,1,1]
area_under_roc_curve
0.971705 [0.0,0.0,1,1,0.0,0.0,0.97619,0.988889,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.72619,0.0,0.0,1,0.0,1]
area_under_roc_curve
0.974155 [0.0,0.0,0.977778,0.95,0.0,0.0,1,0.933333,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.988362 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.954545]
area_under_roc_curve
0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.99793 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.963095 [0.5,0.0,1,1,0.0,0.0,1,0.960526,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.966667,0.0,0.0,0.0,0.909091,0.0]
area_under_roc_curve
0.961556 [0.0,0.5,0.990196,1,0.0,0.0,1,0.977778,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.892857,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.961666 [0.0,0.0,1,0.97619,0.0,0.0,1,0.961111,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.964286,0.0,0.5,1,0.931818,0.0]
area_under_roc_curve
0.96794 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,0.0,1,0.0,1,0.0,1,0.0,0.0,0.0,1,1,0.5,0.0,0.818182,0.0]
area_under_roc_curve
0.987639 [0.0,0.0,0.980392,0.940476,0.0,0.0,0.97619,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,1]
area_under_roc_curve
0.984892 [0.0,0.0,1,0.966667,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.863636]
area_under_roc_curve
0.949275 [0.5,0.5,1,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.986386 [0.0,0.0,1,1,0.0,0.0,0.97619,0.988889,0.0,1,0.0,1,0.954545,0.0,1,1,0.0,1,0.940476,0.0,0.0,0.0,0.954545,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.994093 [0.0,0.0,0.985294,0.97619,0.0,1,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.97343 [0.0,0.5,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.90895 [0.0,0.0,1,1,0.5,1,0.952381,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.595238,0.477273,0.0,1,1,0.0]
area_under_roc_curve
0.992612 [0.0,0.0,0.990196,1,0.0,0.0,1,0.977778,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.955933 [0.5,0.0,0.995098,0.964286,0.0,0.0,1,0.988889,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.821429,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.924983 [0.0,0.0,1,1,0.0,0.0,0.97619,0.944444,0.0,0.0,1,1,0.0,0.0,0.0,1,0.5,0.0,0.7,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.99793 [0.0,0.0,1,1,0.0,0.0,0.97619,1,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.995514 [0.0,0.0,1,1,0.0,1,1,0.988889,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.97619,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.997585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,1,1,0.0,1,1,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.998024 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0]
area_under_roc_curve
0.988542 [0.0,0.0,1,0.958333,0.0,0.0,1,1,1,0.0,0.0,0.954545,0.954545,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.97412 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.995859 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0]
area_under_roc_curve
0.973775 [0.5,0.0,1,0.97619,0.0,0.0,1,0.988889,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.958795 [0.0,0.0,0.990196,1,0.5,0.0,1,0.922222,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.954228 [0.0,0.0,0.960784,1,0.5,0.0,1,0.955556,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,1,1,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1]
area_under_roc_curve
0.965321 [0.0,0.0,0.994444,1,0.0,0.0,1,0.988889,1,0.0,0.0,1,0.0,1,1,1,0.5,0.0,0.892857,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.964791 [0.0,0.0,1,1,0.0,0.0,1,0.973684,1,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,1,0.340909,0.0,0.0,1,0.0]
area_under_roc_curve
0.990487 [0.0,0.0,0.985294,0.975,0.0,0.0,1,0.988889,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1]
area_under_roc_curve
0.956804 [0.0,0.0,1,1,0.5,1,0.97619,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.928571,1,0.0,0.0,1,0.863636]
area_under_roc_curve
0.962055 [0.0,0.0,1,0.966667,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.5,1,0.727273,0.0]
area_under_roc_curve
0.976285 [0.0,0.0,1,1,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.954545]
area_under_roc_curve
0.968772 [0.0,0.0,1,1,0.0,0.0,1,0.961111,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.988095,0.0,0.0,1,1,1]
area_under_roc_curve
0.97343 [0.0,0.0,1,1,0.5,0.0,1,0.977778,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.964065 [0.0,0.0,0.990196,1,0.0,1,1,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,0.0,0.954545,0.0]
area_under_roc_curve
0.965776 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.5,0.0,1,0.863636]
area_under_roc_curve
0.959343 [0.0,0.0,0.980392,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.952381,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.993977 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.954545,0.954545,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.923835 [0.0,0.0,1,1,0.0,0.0,0.97619,0.911111,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,1,0.642857,0.954545,0.0,1,1,1]
area_under_roc_curve
0.95809 [0.0,0.0,1,1,0.0,0.0,1,0.944444,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.5,0.0,0.952381,0.909091,0.0,0.0,1,1]
area_under_roc_curve
0.97343 [0.5,0.0,0.988889,1,0.0,0.0,1,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.921047 [0.0,0.0,0.994444,0.975,0.0,0.0,1,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.866667,0.409091,0.0,0.0,0.0,1]
area_under_roc_curve
0.962758 [0.0,0.0,1,1,0.0,0.0,1,0.964706,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.75,0.0,0.0,1,0.0,0.857143]
area_under_roc_curve
0.949064 [0.5,0.0,1,1,0.0,0.0,0.975,0.905882,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.95,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.989906 [0.0,0.0,1,1,0.0,1,0.975,0.970588,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.9875,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.946056 [0.0,0.0,0.979167,0.975,0.0,0.0,1,0.917647,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.7,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.938995 [0.0,0.0,1,0.719298,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.947861 [0.0,0.0,0.941176,0.975,0.0,1,0.95,0.929412,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.825,1,0.0,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
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0.702899 [0,0,1,0.666667,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,0.5,0]
f_measure
0.598024 [0,0,0.909091,0.8,0,0,0.8,0.6,0,0,0,0,0,0,0,0,0,0,0.8,0.5,0,0,0,0]
f_measure
0.893971 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
f_measure
0.644093 [0,0,0.888889,0.666667,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0]
f_measure
0.797521 [0,0,0.909091,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
f_measure
0.842424 [0,0,1,1,0,0,0.8,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0]
f_measure
0.841647 [0,0,0.923077,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,0,1,0]
f_measure
0.705628 [0,0,0.833333,0.8,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.4,0.666667,0,0,1,0]
f_measure
0.842857 [0,0,0.857143,0.8,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0]
f_measure
0.647107 [0,0,0.8,0.8,0,0,0.5,0.727273,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.686157 [0,0,0.909091,0.8,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.795409 [0,0,0.909091,0.5,0,0,1,0.888889,1,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.939394 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0.666667,0,0,1,0,0,0,1,0]
f_measure
0.614358 [0,0,0.888889,0.857143,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
f_measure
0.77686 [0,0,0.909091,0,0,0,0.666667,0.909091,0,1,0,1,0,0,0.666667,1,0,0,1,0,0,0,0,0]
f_measure
0.754545 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.78742 [0,0,0.888889,0.666667,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
f_measure
0.777778 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.844156 [0,0,1,1,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.857143,0,0,1,0.666667,0]
f_measure
0.71832 [0,0,0.833333,1,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.686869 [0,0,0.666667,1,0,0,1,0.888889,0,1,0,0,0,1,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.867451 [0,0,0.923077,1,0,0,1,0.909091,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0]
f_measure
0.811364 [0,0,1,0.666667,0,0,1,0.75,0,1,0,1,0,0,0,0.666667,0,0,0.8,0,0,0,0.5,0]
f_measure
0.805051 [0,0,1,1,0,0,0.8,0.888889,0,0,0,0.666667,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
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f_measure
0.845455 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.800551 [0,0,0.909091,1,0,0,1,1,0,0,0,0.666667,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.721763 [0,0,0.833333,0.666667,0,0,1,0.909091,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
f_measure
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f_measure
0.66157 [0,0,0.909091,0.8,0,0,0.666667,0.333333,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0]
f_measure
0.651515 [0,0,0.833333,0.8,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
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f_measure
0.61405 [0,0,0.833333,0.8,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
f_measure
0.839827 [0,0,0.857143,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
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f_measure
0.760606 [0,0,0.8,0.666667,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.8,1,0,0,1,0]
f_measure
0.713636 [0,0,1,1,0,0,0.666667,0.8,0,0,0,0.666667,0,0,0,0,0,0,1,0.5,0,0,0,0]
f_measure
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f_measure
0.764384 [0,0,0.909091,0.8,0,0,0.666667,0.857143,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.840178 [0,0,0.923077,0.8,0,0,1,0.909091,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
f_measure
0.744805 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.903263 [0,0,0.923077,0.666667,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
f_measure
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f_measure
0.839827 [0,0,0.857143,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
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0.900433
kappa
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kappa
0.844595
kappa
0.948775
kappa
0.8
kappa
0.701944
kappa
0.847345
kappa
0.651515
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0.639013
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0.793722
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0.802151
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0.744444
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0.798246
kappa
0.948775
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0.747807
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0.847007
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0.742729
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0.742152
kappa
0.795556
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0.751082
kappa
0.798687
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0.898455
kappa
0.796009
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0.690583
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0.793258
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0.796009
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0.640625
kappa
0.849015
kappa
0.747253
kappa
0.8
kappa
0.949782
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0.849673
kappa
0.847007
kappa
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kappa
0.846667
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0.897778
kappa
0.746137
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0.791383
kappa
0.850325
kappa
0.798687
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0.744444
kappa
0.738041
kappa
0.69869
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0.738636
kappa
0.85
kappa
0.848684
kappa
0.794183
kappa
0.791855
kappa
0.697368
kappa
0.801296
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0.653017
kappa
0.593819
kappa
0.898678
kappa
0.594714
kappa
0.786925
kappa
0.84058
kappa
0.836634
kappa
0.681928
kappa
0.831202
kappa
0.626214
kappa
0.684964
kappa
0.736211
kappa
0.947115
kappa
0.576923
kappa
0.784314
kappa
0.736211
kappa
0.787952
kappa
0.73236
kappa
0.836634
kappa
0.725
kappa
0.678832
kappa
0.889169
kappa
0.78744
kappa
0.790974
kappa
0.84058
kappa
0.840964
kappa
0.789976
kappa
0.725686
kappa
0.783784
kappa
0.630695
kappa
0.623472
kappa
0.678832
kappa
0.622549
kappa
0.837438
kappa
0.674877
kappa
0.739336
kappa
0.73494
kappa
0.786408
kappa
0.738717
kappa
0.833333
kappa
0.730392
kappa
0.890819
kappa
0.838631
kappa
0.837438
kb_relative_information_score
16.176391
kb_relative_information_score
16.197024
kb_relative_information_score
14.020441
kb_relative_information_score
19.216968
kb_relative_information_score
16.527298
kb_relative_information_score
17.268209
kb_relative_information_score
18.740368
kb_relative_information_score
18.346669
kb_relative_information_score
16.403013
kb_relative_information_score
18.372868
kb_relative_information_score
14.455442
kb_relative_information_score
15.941471
kb_relative_information_score
17.088313
kb_relative_information_score
17.687525
kb_relative_information_score
16.12148
kb_relative_information_score
17.318462
kb_relative_information_score
18.814534
kb_relative_information_score
16.582969
kb_relative_information_score
16.260115
kb_relative_information_score
16.153521
kb_relative_information_score
15.125199
kb_relative_information_score
16.146539
kb_relative_information_score
15.745995
kb_relative_information_score
16.237867
kb_relative_information_score
17.733176
kb_relative_information_score
17.91134
kb_relative_information_score
18.421685
kb_relative_information_score
17.126038
kb_relative_information_score
14.457547
kb_relative_information_score
17.917493
kb_relative_information_score
16.633353
kb_relative_information_score
14.880352
kb_relative_information_score
17.398904
kb_relative_information_score
17.764659
kb_relative_information_score
18.973508
kb_relative_information_score
19.579145
kb_relative_information_score
16.628995
kb_relative_information_score
17.878513
kb_relative_information_score
17.645704
kb_relative_information_score
16.265735
kb_relative_information_score
17.325917
kb_relative_information_score
17.621207
kb_relative_information_score
15.456089
kb_relative_information_score
16.820921
kb_relative_information_score
17.786209
kb_relative_information_score
17.811388
kb_relative_information_score
16.567583
kb_relative_information_score
14.765923
kb_relative_information_score
15.134181
kb_relative_information_score
16.193543
kb_relative_information_score
16.921956
kb_relative_information_score
17.406337
kb_relative_information_score
16.053099
kb_relative_information_score
15.415558
kb_relative_information_score
15.784252
kb_relative_information_score
18.457723
kb_relative_information_score
14.576921
kb_relative_information_score
14.039933
kb_relative_information_score
18.244256
kb_relative_information_score
13.263589
kb_relative_information_score
16.187351
kb_relative_information_score
15.836545
kb_relative_information_score
16.801972
kb_relative_information_score
14.208154
kb_relative_information_score
14.282215
kb_relative_information_score
14.239264
kb_relative_information_score
15.797077
kb_relative_information_score
15.073408
kb_relative_information_score
19.070612
kb_relative_information_score
12.699374
kb_relative_information_score
16.82882
kb_relative_information_score
16.89751
kb_relative_information_score
14.919405
kb_relative_information_score
14.711829
kb_relative_information_score
14.700652
kb_relative_information_score
13.905228
kb_relative_information_score
15.547377
kb_relative_information_score
15.785449
kb_relative_information_score
15.768599
kb_relative_information_score
16.232092
kb_relative_information_score
17.237963
kb_relative_information_score
16.519586
kb_relative_information_score
16.624154
kb_relative_information_score
12.969834
kb_relative_information_score
15.973178
kb_relative_information_score
13.018762
kb_relative_information_score
13.78124
kb_relative_information_score
14.399006
kb_relative_information_score
12.544583
kb_relative_information_score
17.108167
kb_relative_information_score
14.642303
kb_relative_information_score
14.263298
kb_relative_information_score
16.041833
kb_relative_information_score
16.080138
kb_relative_information_score
16.871507
kb_relative_information_score
13.964558
kb_relative_information_score
13.571275
kb_relative_information_score
18.075933
kb_relative_information_score
16.265577
kb_relative_information_score
17.576035
mean_absolute_error
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mean_absolute_error
0.022835
mean_absolute_error
0.029708
mean_absolute_error
0.0184
mean_absolute_error
0.024666
mean_absolute_error
0.020883
mean_absolute_error
0.013971
mean_absolute_error
0.020117
mean_absolute_error
0.027358
mean_absolute_error
0.01767
mean_absolute_error
0.03698
mean_absolute_error
0.02573
mean_absolute_error
0.020281
mean_absolute_error
0.022695
mean_absolute_error
0.023072
mean_absolute_error
0.024382
mean_absolute_error
0.016554
mean_absolute_error
0.021344
mean_absolute_error
0.024261
mean_absolute_error
0.021998
mean_absolute_error
0.026415
mean_absolute_error
0.024346
mean_absolute_error
0.022711
mean_absolute_error
0.026568
mean_absolute_error
0.023036
mean_absolute_error
0.021061
mean_absolute_error
0.018456
mean_absolute_error
0.022243
mean_absolute_error
0.027851
mean_absolute_error
0.0195
mean_absolute_error
0.021414
mean_absolute_error
0.028227
mean_absolute_error
0.022657
mean_absolute_error
0.022939
mean_absolute_error
0.021798
mean_absolute_error
0.016592
mean_absolute_error
0.026045
mean_absolute_error
0.023123
mean_absolute_error
0.023288
mean_absolute_error
0.022432
mean_absolute_error
0.0194
mean_absolute_error
0.020135
mean_absolute_error
0.027938
mean_absolute_error
0.022159
mean_absolute_error
0.023365
mean_absolute_error
0.021662
mean_absolute_error
0.023401
mean_absolute_error
0.02718
mean_absolute_error
0.028645
mean_absolute_error
0.023334
mean_absolute_error
0.024425
mean_absolute_error
0.020162
mean_absolute_error
0.024315
mean_absolute_error
0.02252
mean_absolute_error
0.025778
mean_absolute_error
0.022691
mean_absolute_error
0.03384
mean_absolute_error
0.035028
mean_absolute_error
0.016357
mean_absolute_error
0.033465
mean_absolute_error
0.021033
mean_absolute_error
0.022194
mean_absolute_error
0.018448
mean_absolute_error
0.031381
mean_absolute_error
0.021632
mean_absolute_error
0.03267
mean_absolute_error
0.027509
mean_absolute_error
0.027043
mean_absolute_error
0.013963
mean_absolute_error
0.033889
mean_absolute_error
0.021385
mean_absolute_error
0.022813
mean_absolute_error
0.024592
mean_absolute_error
0.023376
mean_absolute_error
0.022606
mean_absolute_error
0.024524
mean_absolute_error
0.027124
mean_absolute_error
0.019772
mean_absolute_error
0.026604
mean_absolute_error
0.02671
mean_absolute_error
0.020154
mean_absolute_error
0.021067
mean_absolute_error
0.024158
mean_absolute_error
0.027428
mean_absolute_error
0.020993
mean_absolute_error
0.030759
mean_absolute_error
0.02909
mean_absolute_error
0.028764
mean_absolute_error
0.031304
mean_absolute_error
0.022275
mean_absolute_error
0.025988
mean_absolute_error
0.031228
mean_absolute_error
0.028045
mean_absolute_error
0.020939
mean_absolute_error
0.023817
mean_absolute_error
0.022425
mean_absolute_error
0.025249
mean_absolute_error
0.01447
mean_absolute_error
0.021093
mean_absolute_error
0.018906
mean_prior_absolute_error
0.072029
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072362
mean_prior_absolute_error
0.07313
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072014
mean_prior_absolute_error
0.071957
mean_prior_absolute_error
0.072681
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072217
mean_prior_absolute_error
0.072319
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.072754
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072435
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.073145
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072
mean_prior_absolute_error
0.071971
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072783
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072188
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07287
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.073072
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.072899
mean_prior_absolute_error
0.072116
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072812
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.072797
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072101
mean_prior_absolute_error
0.073029
mean_prior_absolute_error
0.073101
mean_prior_absolute_error
0.072435
mean_prior_absolute_error
0.072768
mean_prior_absolute_error
0.072638
mean_prior_absolute_error
0.072682
mean_prior_absolute_error
0.072379
mean_prior_absolute_error
0.071818
mean_prior_absolute_error
0.071833
mean_prior_absolute_error
0.071379
mean_prior_absolute_error
0.072636
mean_prior_absolute_error
0.072667
mean_prior_absolute_error
0.071864
mean_prior_absolute_error
0.072621
mean_prior_absolute_error
0.072303
mean_prior_absolute_error
0.072409
mean_prior_absolute_error
0.072636
mean_prior_absolute_error
0.072636
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0.84058 [0,0,1,0.666667,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
0.898551 [0,0,1,0.666667,0,0,0.666667,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
precision
0.829193 [0,0,1,1,0,0,1,0.714286,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0.5,0]
precision
0.719979 [0,0,0.857143,1,0,0,0.333333,0.75,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
0.781573 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.5,1,0,0,1,0,0,1,0,0]
precision
0.818841 [0,0,1,0.666667,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
0.73913 [0,0,0.75,1,0,0,0.5,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0.5,0,0]
precision
0.898551 [0,0,1,1,0,0,0.666667,1,0,1,1,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.768116 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.775362 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0.5,0,0,1,1,0,0,1,0,0,0,0,0]
precision
0.934783 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0.5,0,1,1,0]
precision
0.825052 [0,0,0.857143,1,0,0,1,1,0,0,0,0.5,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.811594 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.84058 [0,0,1,1,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
0.833333 [0,0,1,0.5,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
0.854037 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0.5,1,0]
precision
0.884058 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,1,0,0,0.666667,0,0,1,0,0]
precision
0.746377 [0,0,0.833333,0.666667,0,0,1,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.723602 [0,0,0.857143,1,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.876812 [0,0,0.833333,1,0,0,1,1,1,0,0,1,0,1,1,1,0,0,0.5,0,0,1,0,0]
precision
0.775362 [0,0,1,1,0,0,0.666667,0.75,0,1,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.764493 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.688406 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0]
precision
0.710145 [0,0,0.833333,0.5,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,1,0,1,0,0]
precision
0.726708 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.84058 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.847826 [0,0,0.833333,1,0,0,0.666667,1,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
precision
0.774327 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0]
precision
0.752588 [0,0,0.857143,1,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.764493 [0,0,1,0.75,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
precision
0.804348 [0,0,1,1,0,0,0.5,1,0,1,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.753623 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,0.333333,0]
precision
0.57971 [0,0,1,0.666667,0,0,0.666667,0.6,0,0,0,0,0,0,0,0,0,0,0.666667,0.333333,0,0,0,0]
precision
0.887681 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
precision
0.666667 [0,0,1,0.666667,0,0,0.5,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.780303 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
precision
0.837121 [0,0,1,1,0,0,0.666667,0.75,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.854978 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,1,0]
precision
0.765152 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,1,0,0,1,0,0,0,0.333333,0.5,0,0,1,0]
precision
0.840909 [0,0,0.75,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0]
precision
0.621212 [0,0,0.8,0.666667,0,0,0.5,0.666667,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.689394 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.833333 [0,0,1,0.5,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.931818 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0.5,0,0,1,0,0,0,1,0]
precision
0.647727 [0,0,1,0.75,0,0,0.333333,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.765152 [0,0,0.833333,0,0,0,1,0.833333,0,1,0,1,0,0,0.5,1,0,0,1,0,0,0,0,0]
precision
0.742424 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.780303 [0,0,1,0.5,0,0,1,0.833333,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
precision
0.818182 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.840909 [0,0,1,1,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.75,0,0,1,0.5,0]
precision
0.677489 [0,0,0.714286,1,0,0,1,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.675325 [0,0,0.571429,1,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0.5,0,0,0,0,0]
precision
0.832251 [0,0,0.857143,1,0,0,1,0.833333,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.871212 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,0,0.5,0,0,0.666667,0,0,0,0.333333,0]
precision
0.810606 [0,0,1,1,0,0,0.666667,1,0,0,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.901515 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0.5,0]
precision
0.833333 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.80303 [0,0,0.833333,1,0,0,1,1,0,0,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.689394 [0,0,0.833333,0.5,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.758009 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.79697 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,1,0,0,0.4,0,0,0,0,0]
precision
0.651515 [0,0,0.833333,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.778139 [0,0,0.714286,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0.5,0]
precision
0.573593 [0,0,0.833333,0.666667,0,0,1,0.571429,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
precision
0.840909 [0,0,0.75,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.723485 [0,0,0.833333,0.75,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.787879 [0,0,1,0.5,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,1,0,0,1,0]
precision
0.704545 [0,0,1,1,0,0,1,0.666667,0,0,0,0.5,0,0,0,0,0,0,1,0.333333,0,0,0,0]
precision
0.833333 [0,0,1,1,0,0,0.666667,0.75,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0]
precision
0.787879 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.832251 [0,0,0.857143,1,0,0,1,0.833333,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
precision
0.736364 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
precision
0.915584 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
precision
0.810606 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.840909 [0,0,0.75,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.913043
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.956522
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.869565
predictive_accuracy
0.695652
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.956522
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.913043
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.869565
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.956522
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.869565
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.913043
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.869565
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.652174
predictive_accuracy
0.913043
predictive_accuracy
0.652174
predictive_accuracy
0.818182
predictive_accuracy
0.863636
predictive_accuracy
0.863636
predictive_accuracy
0.727273
predictive_accuracy
0.863636
predictive_accuracy
0.681818
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.954545
predictive_accuracy
0.636364
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.863636
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.909091
predictive_accuracy
0.818182
predictive_accuracy
0.818182
predictive_accuracy
0.863636
predictive_accuracy
0.863636
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.681818
predictive_accuracy
0.681818
predictive_accuracy
0.727273
predictive_accuracy
0.681818
predictive_accuracy
0.863636
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.863636
predictive_accuracy
0.772727
predictive_accuracy
0.909091
predictive_accuracy
0.863636
predictive_accuracy
0.863636
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.913043 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,0.666667,0,0,1,0.8,0,0,1,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.956522 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.73913 [0,0,0.833333,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.695652 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.695652 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,0.8,0.666667,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0]
recall
0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0.333333,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0]
recall
0.782609 [0,0,0.833333,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,0.333333,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.73913 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,0,0]
recall
0.826087 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.913043 [0,0,0.833333,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,0.5,0,0,0.5,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.695652 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,0,1,0,0,0.333333,0,0,1,0,0]
recall
0.869565 [0,0,1,1,0,0,1,0.6,0,1,1,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,1,0,1,1,0]
recall
0.782609 [0,0,1,0.333333,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.826087 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.913043 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,1,0,0,1,0,1,1,1,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,1,0,0,1,0]
recall
0.73913 [0,0,1,0.333333,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,1,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.695652 [0,0,1,0.5,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,1,0]
recall
0.652174 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0]
recall
0.913043 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.652174 [0,0,0.8,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
recall
0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.863636 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,0.5,1,0,0,1,0]
recall
0.863636 [0,0,1,0.666667,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0]
recall
0.681818 [0,0,0.8,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.772727 [0,0,0.833333,0.5,0,0,1,0.8,1,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.954545 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.636364 [0,0,0.8,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,0,0,0,0.5,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.727273 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0]
recall
0.909091 [0,0,1,1,0,0,1,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.818182 [0,0,1,0.5,0,0,1,0.6,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.863636 [0,0,1,0.5,0,0,1,0.75,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0]
recall
0.863636 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.772727 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.727273 [0,0,0.833333,1,0,0,1,0.4,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
recall
0.863636 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.772727 [0,0,0.666667,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,1,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.75,0,0,0,0,0,0,0,1,0,0,0.666667,0,0,1,1,0]
recall
0.772727 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.863636 [0,0,1,0.666667,0,0,1,1,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.909091 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.863636 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.863636 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
relative_absolute_error
0.323926
relative_absolute_error
0.316009
relative_absolute_error
0.410543
relative_absolute_error
0.251606
relative_absolute_error
0.341353
relative_absolute_error
0.289989
relative_absolute_error
0.194153
relative_absolute_error
0.27679
relative_absolute_error
0.378443
relative_absolute_error
0.244671
relative_absolute_error
0.511347
relative_absolute_error
0.355924
relative_absolute_error
0.28134
relative_absolute_error
0.31195
relative_absolute_error
0.31929
relative_absolute_error
0.336601
relative_absolute_error
0.22913
relative_absolute_error
0.291807
relative_absolute_error
0.335409
relative_absolute_error
0.30442
relative_absolute_error
0.365179
relative_absolute_error
0.338133
relative_absolute_error
0.315564
relative_absolute_error
0.363084
relative_absolute_error
0.315368
relative_absolute_error
0.291337
relative_absolute_error
0.255452
relative_absolute_error
0.305608
relative_absolute_error
0.385196
relative_absolute_error
0.269906
relative_absolute_error
0.296279
relative_absolute_error
0.39102
relative_absolute_error
0.313541
relative_absolute_error
0.31694
relative_absolute_error
0.298427
relative_absolute_error
0.227699
relative_absolute_error
0.361301
relative_absolute_error
0.316445
relative_absolute_error
0.322154
relative_absolute_error
0.310371
relative_absolute_error
0.268414
relative_absolute_error
0.278203
relative_absolute_error
0.386391
relative_absolute_error
0.306524
relative_absolute_error
0.319311
relative_absolute_error
0.297148
relative_absolute_error
0.324487
relative_absolute_error
0.375756
relative_absolute_error
0.393414
relative_absolute_error
0.322593
relative_absolute_error
0.33439
relative_absolute_error
0.276961
relative_absolute_error
0.336347
relative_absolute_error
0.311593
relative_absolute_error
0.357524
relative_absolute_error
0.310713
relative_absolute_error
0.462916
relative_absolute_error
0.483582
relative_absolute_error
0.224786
relative_absolute_error
0.460708
relative_absolute_error
0.289384
relative_absolute_error
0.306638
relative_absolute_error
0.256875
relative_absolute_error
0.43686
relative_absolute_error
0.303065
relative_absolute_error
0.449775
relative_absolute_error
0.378569
relative_absolute_error
0.376312
relative_absolute_error
0.192276
relative_absolute_error
0.468701
relative_absolute_error
0.295335
relative_absolute_error
0.314077
relative_absolute_error
0.338567
relative_absolute_error
0.325414
relative_absolute_error
0.31583
relative_absolute_error
0.338826
relative_absolute_error
0.372799
relative_absolute_error
0.275242
relative_absolute_error
0.37004
relative_absolute_error
0.367564
relative_absolute_error
0.278805
relative_absolute_error
0.290581
relative_absolute_error
0.330653
relative_absolute_error
0.381748
relative_absolute_error
0.289505
relative_absolute_error
0.429461
relative_absolute_error
0.401151
relative_absolute_error
0.400599
relative_absolute_error
0.432957
relative_absolute_error
0.30724
relative_absolute_error
0.359581
relative_absolute_error
0.430642
relative_absolute_error
0.383224
relative_absolute_error
0.289479
relative_absolute_error
0.328513
relative_absolute_error
0.312774
relative_absolute_error
0.349429
relative_absolute_error
0.201315
relative_absolute_error
0.29179
relative_absolute_error
0.260771
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189229
root_mean_prior_squared_error
0.191248
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.188308
root_mean_prior_squared_error
0.188154
root_mean_prior_squared_error
0.19007
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188846
root_mean_prior_squared_error
0.189114
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.19026
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.18942
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.191286
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188269
root_mean_prior_squared_error
0.188192
root_mean_prior_squared_error
0.191362
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.190336
root_mean_prior_squared_error
0.189076
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188769
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190565
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.191096
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.189076
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.191362
root_mean_prior_squared_error
0.190641
root_mean_prior_squared_error
0.188577
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.190413
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190374
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188539
root_mean_prior_squared_error
0.190983
root_mean_prior_squared_error
0.191172
root_mean_prior_squared_error
0.18942
root_mean_prior_squared_error
0.190298
root_mean_prior_squared_error
0.189955
root_mean_prior_squared_error
0.190071
root_mean_prior_squared_error
0.189273
root_mean_prior_squared_error
0.187786
root_mean_prior_squared_error
0.187826
root_mean_prior_squared_error
0.186612
root_mean_prior_squared_error
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1020
usercpu_time_millis_training
1010
usercpu_time_millis_training
990
usercpu_time_millis_training
1040
usercpu_time_millis_training
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usercpu_time_millis_training
1100
usercpu_time_millis_training
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usercpu_time_millis_training
1050
usercpu_time_millis_training
970
usercpu_time_millis_training
990
usercpu_time_millis_training
1060
usercpu_time_millis_training
1020
usercpu_time_millis_training
1030
usercpu_time_millis_training
1060
usercpu_time_millis_training
1050
usercpu_time_millis_training
1040
usercpu_time_millis_training
1110
usercpu_time_millis_training
1050
usercpu_time_millis_training
1060
usercpu_time_millis_training
1030
usercpu_time_millis_training
1070
usercpu_time_millis_training
1060
usercpu_time_millis_training
1060
usercpu_time_millis_training
1020
usercpu_time_millis_training
1080
usercpu_time_millis_training
1110
usercpu_time_millis_training
1120
usercpu_time_millis_training
990
usercpu_time_millis_training
1050
usercpu_time_millis_training
1080
usercpu_time_millis_training
1070
usercpu_time_millis_training
1090
usercpu_time_millis_training
1070
usercpu_time_millis_training
1080
usercpu_time_millis_training
1090
usercpu_time_millis_training
1060
usercpu_time_millis_training
1140
usercpu_time_millis_training
1040
usercpu_time_millis_training
1010
usercpu_time_millis_training
1010
usercpu_time_millis_training
1030
usercpu_time_millis_training
1020
usercpu_time_millis_training
1020
usercpu_time_millis_training
1080
usercpu_time_millis_training
1070
usercpu_time_millis_training
1070
usercpu_time_millis_training
1080
usercpu_time_millis_training
1070
usercpu_time_millis_training
1050
usercpu_time_millis_training
1060
usercpu_time_millis_training
1030
usercpu_time_millis_training
1040