Run
304243

Run 304243

Task 1752 (Learning Curve) vehicle Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.865 ± 0.0356
Per class
F measure
0.6902 ± 0.062
Per class
Kappa
0.5936 ± 0.0796
KB relative information score
0.611 ± 0.0541
Mean absolute error
0.1697 ± 0.0204
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.688 ± 0.0622
Per class
Predictive accuracy
0.695 ± 0.0594
Prior entropy
1.9991 ± 0.0005
Recall
0.695 ± 0.0594
Per class
Relative absolute error
0.4529 ± 0.0545
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3361 ± 0.032
Root relative squared error
0.7763 ± 0.074
SciMark benchmark
1328.1294