450730
2
Joaquin Vanschoren
4432
Supervised Classification
predictive_accuracy
1172
weka.LibSVM(2)
1924
weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1
S
0
1172
K
2
1172
D
3
1172
G
0.0
1172
R
0.0
1172
C
1.0
1172
N
0.5
1172
P
0.1
1172
M
40.0
1172
E
0.001
1172
model
/Users/joa/Downloads/weka-3-7-12
1172
seed
1
1172
weka
weka_3.7.12
863
fri_c4_250_10
https://www.openml.org/data/download/53397/fri_c4_250_10.arff
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description
https://api.openml.org/data/download/1581277/weka_generated_run8793885661308034108.xml
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model_readable
https://api.openml.org/data/download/1581280/WekaModel_weka.classifiers.functions.LibSVM7806119119449569227.model
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1581279
model_serialized
https://api.openml.org/data/download/1581279/WekaSerialized_weka.classifiers.functions.LibSVM1436604020692416666.model
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1581278
predictions
https://api.openml.org/data/download/1581278/weka_generated_predictions8652557198102764570.arff
area_under_roc_curve
0.674912 [0.674912,0.674912]
average_cost
0
f_measure
0.67767 [0.630897,0.718816]
kappa
0.353054
kb_relative_information_score
894.561457
mean_absolute_error
0.3192
mean_prior_absolute_error
0.497968
number_of_instances
2500 [1170,1330]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.681591 [0.6875,0.676393]
predictive_accuracy
0.6808
prior_entropy
0.99709
recall
0.6808 [0.582906,0.766917]
relative_absolute_error
0.641005
root_mean_prior_squared_error
0.498975
root_mean_squared_error
0.564978
root_relative_squared_error
1.132277
scimark_benchmark
926.546203 [557.6216842393322, 1007.8216880702337, 469.2927333365945, 906.1320034329636, 1691.8629055716406]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
10
usercpu_time_millis_training
20
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.544872 [0.544872,0.544872]
area_under_roc_curve
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area_under_roc_curve
0.685065 [0.685065,0.685065]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.794872 [0.794872,0.794872]
area_under_roc_curve
0.801282 [0.801282,0.801282]
area_under_roc_curve
0.669872 [0.669872,0.669872]
area_under_roc_curve
0.878205 [0.878205,0.878205]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.538961 [0.538961,0.538961]
area_under_roc_curve
0.62987 [0.62987,0.62987]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.837662 [0.837662,0.837662]
area_under_roc_curve
0.564935 [0.564935,0.564935]
area_under_roc_curve
0.721154 [0.721154,0.721154]
area_under_roc_curve
0.637821 [0.637821,0.637821]
area_under_roc_curve
0.753205 [0.753205,0.753205]
area_under_roc_curve
0.637821 [0.637821,0.637821]
area_under_roc_curve
0.753205 [0.753205,0.753205]
area_under_roc_curve
0.685065 [0.685065,0.685065]
area_under_roc_curve
0.737013 [0.737013,0.737013]
area_under_roc_curve
0.766026 [0.766026,0.766026]
area_under_roc_curve
0.584416 [0.584416,0.584416]
area_under_roc_curve
0.737013 [0.737013,0.737013]
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average_cost
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f_measure
0.52 [0.454545,0.571429]
f_measure
0.711443 [0.631579,0.774194]
f_measure
0.68 [0.636364,0.714286]
f_measure
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f_measure
0.674667 [0.6,0.733333]
f_measure
0.516078 [0.352941,0.666667]
f_measure
0.789813 [0.736842,0.83871]
f_measure
0.593333 [0.5,0.666667]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.799356 [0.782609,0.814815]
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0.674667 [0.6,0.733333]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.56 [0.56,0.56]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.714483 [0.666667,0.758621]
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0.632906 [0.571429,0.689655]
f_measure
0.628998 [0.526316,0.709677]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.720902 [0.695652,0.740741]
f_measure
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f_measure
0.628998 [0.526316,0.709677]
f_measure
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f_measure
0.752 [0.7,0.8]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.714483 [0.666667,0.758621]
f_measure
0.558583 [0.521739,0.592593]
f_measure
0.596104 [0.545455,0.642857]
f_measure
0.621664 [0.526316,0.709677]
f_measure
0.705739 [0.631579,0.774194]
f_measure
0.76 [0.75,0.769231]
f_measure
0.621664 [0.526316,0.709677]
f_measure
0.72 [0.72,0.72]
f_measure
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f_measure
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f_measure
0.68 [0.666667,0.692308]
f_measure
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f_measure
0.76 [0.75,0.769231]
f_measure
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f_measure
0.676883 [0.636364,0.714286]
f_measure
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f_measure
0.592208 [0.642857,0.545455]
f_measure
0.752 [0.7,0.8]
f_measure
0.598718 [0.615385,0.583333]
f_measure
0.68 [0.666667,0.692308]
f_measure
0.632906 [0.571429,0.689655]
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0.759231 [0.769231,0.75]
f_measure
0.656667 [0.555556,0.75]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.558583 [0.521739,0.592593]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.64 [0.64,0.64]
f_measure
0.92 [0.916667,0.923077]
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f_measure
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f_measure
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f_measure
0.656667 [0.555556,0.75]
f_measure
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f_measure
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f_measure
0.717295 [0.740741,0.695652]
f_measure
0.537589 [0.421053,0.645161]
f_measure
0.714483 [0.666667,0.758621]
f_measure
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f_measure
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f_measure
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0.593333 [0.5,0.666667]
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kb_relative_information_score
12.983938
kb_relative_information_score
4.753231
kb_relative_information_score
10.972257
kb_relative_information_score
2.925531
kb_relative_information_score
4.937213
kb_relative_information_score
6.948894
kb_relative_information_score
10.972257
kb_relative_information_score
12.983938
kb_relative_information_score
6.948894
kb_relative_information_score
10.972257
kb_relative_information_score
12.983938
kb_relative_information_score
14.995619
kb_relative_information_score
8.960575
kb_relative_information_score
12.983938
kb_relative_information_score
12.983938
kb_relative_information_score
10.972257
kb_relative_information_score
8.960575
kb_relative_information_score
10.972257
kb_relative_information_score
4.937213
kb_relative_information_score
12.983938
kb_relative_information_score
4.937213
kb_relative_information_score
8.960575
kb_relative_information_score
6.948894
kb_relative_information_score
12.983938
kb_relative_information_score
8.960575
kb_relative_information_score
4.937213
kb_relative_information_score
2.925531
kb_relative_information_score
17.007301
kb_relative_information_score
6.948894
kb_relative_information_score
21.030664
kb_relative_information_score
4.937213
kb_relative_information_score
8.960575
kb_relative_information_score
4.937213
kb_relative_information_score
8.960575
kb_relative_information_score
12.983938
kb_relative_information_score
12.983938
kb_relative_information_score
10.972257
kb_relative_information_score
2.925531
kb_relative_information_score
10.972257
kb_relative_information_score
8.960575
kb_relative_information_score
10.972257
kb_relative_information_score
8.960575
kb_relative_information_score
8.960575
kb_relative_information_score
-1.097831
kb_relative_information_score
10.972257
kb_relative_information_score
2.925531
kb_relative_information_score
-3.109513
kb_relative_information_score
4.937213
kb_relative_information_score
2.925531
kb_relative_information_score
6.764913
kb_relative_information_score
8.776594
kb_relative_information_score
10.972257
kb_relative_information_score
10.788275
kb_relative_information_score
2.74155
kb_relative_information_score
14.995619
kb_relative_information_score
14.995619
kb_relative_information_score
8.960575
kb_relative_information_score
19.018982
kb_relative_information_score
6.948894
kb_relative_information_score
2.74155
kb_relative_information_score
6.764913
kb_relative_information_score
6.948894
kb_relative_information_score
16.823319
kb_relative_information_score
4.753231
kb_relative_information_score
10.972257
kb_relative_information_score
6.948894
kb_relative_information_score
12.983938
kb_relative_information_score
6.948894
kb_relative_information_score
12.983938
kb_relative_information_score
8.776594
kb_relative_information_score
12.799957
kb_relative_information_score
12.983938
kb_relative_information_score
4.753231
kb_relative_information_score
12.799957
mean_absolute_error
0.48
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.44
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_absolute_error
0.44
mean_absolute_error
0.2
mean_absolute_error
0.28
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.4
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.4
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.4
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.2
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_absolute_error
0.4
mean_absolute_error
0.32
mean_absolute_error
0.36
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.44
mean_absolute_error
0.16
mean_absolute_error
0.36
mean_absolute_error
0.08
mean_absolute_error
0.4
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.52
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.56
mean_absolute_error
0.4
mean_absolute_error
0.44
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.32
mean_absolute_error
0.12
mean_absolute_error
0.36
mean_absolute_error
0.44
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_absolute_error
0.16
mean_absolute_error
0.4
mean_absolute_error
0.28
mean_absolute_error
0.36
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
precision
0.52 [0.454545,0.571429]
precision
0.725294 [0.75,0.705882]
precision
0.68 [0.636364,0.714286]
precision
0.637353 [0.625,0.647059]
precision
0.678333 [0.666667,0.6875]
precision
0.574 [0.6,0.55]
precision
0.855556 [1,0.722222]
precision
0.594444 [0.555556,0.625]
precision
0.768312 [0.714286,0.818182]
precision
0.801299 [0.818182,0.785714]
precision
0.678333 [0.666667,0.6875]
precision
0.6 [0.545455,0.642857]
precision
0.76 [0.727273,0.785714]
precision
0.576364 [0.5,0.636364]
precision
0.8 [0.8,0.8]
precision
0.730833 [0.777778,0.6875]
precision
0.645 [0.666667,0.625]
precision
0.637353 [0.625,0.647059]
precision
0.660635 [0.714286,0.611111]
precision
0.682667 [0.7,0.666667]
precision
0.718667 [0.7,0.733333]
precision
0.712 [0.6,0.8]
precision
0.724103 [0.666667,0.769231]
precision
0.594444 [0.555556,0.625]
precision
0.637353 [0.625,0.647059]
precision
0.696471 [0.75,0.647059]
precision
0.787059 [0.875,0.705882]
precision
0.6 [0.545455,0.642857]
precision
0.730833 [0.777778,0.6875]
precision
0.558961 [0.545455,0.571429]
precision
0.6 [0.6,0.6]
precision
0.660635 [0.714286,0.611111]
precision
0.758095 [0.857143,0.666667]
precision
0.76 [0.75,0.769231]
precision
0.660635 [0.714286,0.611111]
precision
0.722308 [0.692308,0.75]
precision
0.768312 [0.714286,0.818182]
precision
0.801299 [0.818182,0.785714]
precision
0.68 [0.666667,0.692308]
precision
0.765333 [0.8,0.733333]
precision
0.76 [0.75,0.769231]
precision
0.722308 [0.692308,0.75]
precision
0.682667 [0.7,0.666667]
precision
0.722308 [0.692308,0.75]
precision
0.616667 [0.5625,0.666667]
precision
0.787059 [0.875,0.705882]
precision
0.605195 [0.571429,0.636364]
precision
0.68 [0.666667,0.692308]
precision
0.645 [0.666667,0.625]
precision
0.768312 [0.714286,0.818182]
precision
0.728421 [0.833333,0.631579]
precision
0.605882 [0.625,0.588235]
precision
0.558961 [0.545455,0.571429]
precision
0.848 [0.9,0.8]
precision
0.642051 [0.615385,0.666667]
precision
0.92 [0.916667,0.923077]
precision
0.6 [0.583333,0.615385]
precision
0.696471 [0.75,0.647059]
precision
0.6 [0.6,0.6]
precision
0.728421 [0.833333,0.631579]
precision
0.787059 [0.875,0.705882]
precision
0.765333 [0.8,0.733333]
precision
0.736 [0.666667,0.8]
precision
0.563175 [0.571429,0.555556]
precision
0.730833 [0.777778,0.6875]
precision
0.728421 [0.833333,0.631579]
precision
0.758095 [0.857143,0.666667]
precision
0.728421 [0.833333,0.631579]
precision
0.696471 [0.75,0.647059]
precision
0.473333 [0.444444,0.5]
precision
0.722308 [0.692308,0.75]
precision
0.563175 [0.571429,0.555556]
precision
0.424706 [0.375,0.470588]
precision
0.605882 [0.625,0.588235]
precision
0.603636 [0.666667,0.545455]
precision
0.658701 [0.571429,0.727273]
precision
0.690769 [0.615385,0.75]
precision
0.730833 [0.777778,0.6875]
precision
0.724103 [0.666667,0.769231]
precision
0.576364 [0.5,0.636364]
precision
0.816667 [0.888889,0.75]
precision
0.802564 [0.769231,0.833333]
precision
0.728421 [0.833333,0.631579]
precision
0.882078 [0.909091,0.857143]
precision
0.645 [0.666667,0.625]
precision
0.549412 [0.5,0.588235]
precision
0.637333 [0.6,0.666667]
precision
0.645 [0.666667,0.625]
precision
0.84 [0.818182,0.857143]
precision
0.6 [0.6,0.6]
precision
0.722308 [0.692308,0.75]
precision
0.63974 [0.636364,0.642857]
precision
0.787059 [0.875,0.705882]
precision
0.63974 [0.636364,0.642857]
precision
0.787059 [0.875,0.705882]
precision
0.690769 [0.615385,0.75]
precision
0.781587 [0.857143,0.722222]
precision
0.792222 [0.6875,0.888889]
precision
0.594444 [0.555556,0.625]
precision
0.781587 [0.857143,0.722222]
predictive_accuracy
0.52
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.56
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.56
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.84
predictive_accuracy
0.64
predictive_accuracy
0.92
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.48
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.44
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.88
predictive_accuracy
0.64
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.76
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
recall
0.52 [0.454545,0.571429]
recall
0.72 [0.545455,0.857143]
recall
0.68 [0.636364,0.714286]
recall
0.64 [0.454545,0.785714]
recall
0.68 [0.545455,0.785714]
recall
0.56 [0.25,0.846154]
recall
0.8 [0.583333,1]
recall
0.6 [0.454545,0.714286]
recall
0.76 [0.833333,0.692308]
recall
0.8 [0.75,0.846154]
recall
0.68 [0.545455,0.785714]
recall
0.6 [0.545455,0.642857]
recall
0.76 [0.727273,0.785714]
recall
0.56 [0.636364,0.5]
recall
0.8 [0.727273,0.857143]
recall
0.72 [0.583333,0.846154]
recall
0.64 [0.5,0.769231]
recall
0.64 [0.454545,0.785714]
recall
0.64 [0.416667,0.846154]
recall
0.68 [0.583333,0.769231]
recall
0.72 [0.636364,0.785714]
recall
0.68 [0.818182,0.571429]
recall
0.72 [0.727273,0.714286]
recall
0.6 [0.454545,0.714286]
recall
0.64 [0.454545,0.785714]
recall
0.68 [0.5,0.846154]
recall
0.76 [0.583333,0.923077]
recall
0.6 [0.545455,0.642857]
recall
0.72 [0.583333,0.846154]
recall
0.56 [0.5,0.615385]
recall
0.6 [0.5,0.692308]
recall
0.64 [0.416667,0.846154]
recall
0.72 [0.5,0.923077]
recall
0.76 [0.75,0.769231]
recall
0.64 [0.416667,0.846154]
recall
0.72 [0.75,0.692308]
recall
0.76 [0.833333,0.692308]
recall
0.8 [0.75,0.846154]
recall
0.68 [0.666667,0.692308]
recall
0.76 [0.666667,0.846154]
recall
0.76 [0.75,0.769231]
recall
0.72 [0.75,0.692308]
recall
0.68 [0.583333,0.769231]
recall
0.72 [0.75,0.692308]
recall
0.6 [0.75,0.461538]
recall
0.76 [0.583333,0.923077]
recall
0.6 [0.666667,0.538462]
recall
0.68 [0.666667,0.692308]
recall
0.64 [0.5,0.769231]
recall
0.76 [0.833333,0.692308]
recall
0.68 [0.416667,0.923077]
recall
0.6 [0.416667,0.769231]
recall
0.56 [0.5,0.615385]
recall
0.84 [0.75,0.923077]
recall
0.64 [0.666667,0.615385]
recall
0.92 [0.916667,0.923077]
recall
0.6 [0.583333,0.615385]
recall
0.68 [0.5,0.846154]
recall
0.6 [0.5,0.692308]
recall
0.68 [0.416667,0.923077]
recall
0.76 [0.583333,0.923077]
recall
0.76 [0.666667,0.846154]
recall
0.72 [0.833333,0.615385]
recall
0.56 [0.333333,0.769231]
recall
0.72 [0.583333,0.846154]
recall
0.68 [0.416667,0.923077]
recall
0.72 [0.5,0.923077]
recall
0.68 [0.416667,0.923077]
recall
0.68 [0.5,0.846154]
recall
0.48 [0.333333,0.615385]
recall
0.72 [0.75,0.692308]
recall
0.56 [0.333333,0.769231]
recall
0.44 [0.25,0.615385]
recall
0.6 [0.416667,0.769231]
recall
0.56 [0.166667,0.923077]
recall
0.64 [0.727273,0.571429]
recall
0.68 [0.727273,0.642857]
recall
0.72 [0.583333,0.846154]
recall
0.72 [0.727273,0.714286]
recall
0.56 [0.636364,0.5]
recall
0.8 [0.666667,0.923077]
recall
0.8 [0.833333,0.769231]
recall
0.68 [0.416667,0.923077]
recall
0.88 [0.833333,0.923077]
recall
0.64 [0.5,0.769231]
recall
0.56 [0.363636,0.714286]
recall
0.64 [0.545455,0.714286]
recall
0.64 [0.5,0.769231]
recall
0.84 [0.818182,0.857143]
recall
0.6 [0.272727,0.857143]
recall
0.72 [0.75,0.692308]
recall
0.64 [0.583333,0.692308]
recall
0.76 [0.583333,0.923077]
recall
0.64 [0.583333,0.692308]
recall
0.76 [0.583333,0.923077]
recall
0.68 [0.727273,0.642857]
recall
0.76 [0.545455,0.928571]
recall
0.76 [0.916667,0.615385]
recall
0.6 [0.454545,0.714286]
recall
0.76 [0.545455,0.928571]
relative_absolute_error
0.96737
relative_absolute_error
0.564299
relative_absolute_error
0.644914
relative_absolute_error
0.725528
relative_absolute_error
0.644914
relative_absolute_error
0.882241
relative_absolute_error
0.401018
relative_absolute_error
0.806142
relative_absolute_error
0.481222
relative_absolute_error
0.401018
relative_absolute_error
0.644914
relative_absolute_error
0.806142
relative_absolute_error
0.483685
relative_absolute_error
0.886756
relative_absolute_error
0.403071
relative_absolute_error
0.561426
relative_absolute_error
0.721833
relative_absolute_error
0.725528
relative_absolute_error
0.721833
relative_absolute_error
0.64163
relative_absolute_error
0.564299
relative_absolute_error
0.644914
relative_absolute_error
0.564299
relative_absolute_error
0.806142
relative_absolute_error
0.725528
relative_absolute_error
0.64163
relative_absolute_error
0.481222
relative_absolute_error
0.806142
relative_absolute_error
0.561426
relative_absolute_error
0.882241
relative_absolute_error
0.802037
relative_absolute_error
0.721833
relative_absolute_error
0.561426
relative_absolute_error
0.481222
relative_absolute_error
0.721833
relative_absolute_error
0.561426
relative_absolute_error
0.481222
relative_absolute_error
0.401018
relative_absolute_error
0.64163
relative_absolute_error
0.481222
relative_absolute_error
0.481222
relative_absolute_error
0.561426
relative_absolute_error
0.64163
relative_absolute_error
0.561426
relative_absolute_error
0.802037
relative_absolute_error
0.481222
relative_absolute_error
0.802037
relative_absolute_error
0.64163
relative_absolute_error
0.721833
relative_absolute_error
0.481222
relative_absolute_error
0.64163
relative_absolute_error
0.802037
relative_absolute_error
0.882241
relative_absolute_error
0.320815
relative_absolute_error
0.721833
relative_absolute_error
0.160407
relative_absolute_error
0.802037
relative_absolute_error
0.64163
relative_absolute_error
0.802037
relative_absolute_error
0.64163
relative_absolute_error
0.481222
relative_absolute_error
0.481222
relative_absolute_error
0.561426
relative_absolute_error
0.882241
relative_absolute_error
0.561426
relative_absolute_error
0.64163
relative_absolute_error
0.561426
relative_absolute_error
0.64163
relative_absolute_error
0.64163
relative_absolute_error
1.042648
relative_absolute_error
0.561426
relative_absolute_error
0.882241
relative_absolute_error
1.122852
relative_absolute_error
0.802037
relative_absolute_error
0.882241
relative_absolute_error
0.725528
relative_absolute_error
0.644914
relative_absolute_error
0.561426
relative_absolute_error
0.564299
relative_absolute_error
0.886756
relative_absolute_error
0.401018
relative_absolute_error
0.401018
relative_absolute_error
0.64163
relative_absolute_error
0.240611
relative_absolute_error
0.721833
relative_absolute_error
0.886756
relative_absolute_error
0.725528
relative_absolute_error
0.721833
relative_absolute_error
0.322457
relative_absolute_error
0.806142
relative_absolute_error
0.561426
relative_absolute_error
0.721833
relative_absolute_error
0.481222
relative_absolute_error
0.721833
relative_absolute_error
0.481222
relative_absolute_error
0.644914
relative_absolute_error
0.483685
relative_absolute_error
0.481222
relative_absolute_error
0.806142
relative_absolute_error
0.483685
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_squared_error
0.69282
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.663325
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.489898
root_mean_squared_error
0.663325
root_mean_squared_error
0.447214
root_mean_squared_error
0.52915
root_mean_squared_error
0.6
root_mean_squared_error
0.6
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.632456
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.632456
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.632456
root_mean_squared_error
0.6
root_mean_squared_error
0.52915
root_mean_squared_error
0.489898
root_mean_squared_error
0.6
root_mean_squared_error
0.52915
root_mean_squared_error
0.489898
root_mean_squared_error
0.447214
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.632456
root_mean_squared_error
0.489898
root_mean_squared_error
0.632456
root_mean_squared_error
0.565685
root_mean_squared_error
0.6
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.663325
root_mean_squared_error
0.4
root_mean_squared_error
0.6
root_mean_squared_error
0.282843
root_mean_squared_error
0.632456
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.72111
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.748331
root_mean_squared_error
0.632456
root_mean_squared_error
0.663325
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.565685
root_mean_squared_error
0.34641
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