Run
462915

Run 462915

Task 63 (Learning Curve) kr-vs-kp Uploaded 06-07-2015 by Joaquin Vanschoren
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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
0.9982 ± 0.0025
Per class
F measure
0.9941 ± 0.0046
Per class
Kappa
0.9882 ± 0.0092
KB relative information score
0.9831 ± 0.0092
Mean absolute error
0.0093 ± 0.0046
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9941 ± 0.0045
Per class
Predictive accuracy
0.9941 ± 0.0046
Prior entropy
0.9986 ± 0.0002
Recall
0.9941 ± 0.0046
Per class
Relative absolute error
0.0187 ± 0.0092
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0758 ± 0.0327
Root relative squared error
0.1518 ± 0.0654
SciMark benchmark
944.4979