Run
304133

Run 304133

Task 64 (Learning Curve) labor Uploaded 18-03-2015 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
0.7179 ± 0.1915
Per class
F measure
0.8016 ± 0.1605
Per class
Kappa
0.5588 ± 0.3507
KB relative information score
0.3979 ± 0.2845
Mean absolute error
0.2866 ± 0.112
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.802 ± 0.1444
Per class
Predictive accuracy
0.8053 ± 0.1552
Prior entropy
0.9349 ± 0.0618
Recall
0.8053 ± 0.1552
Per class
Relative absolute error
0.627 ± 0.2489
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.4181 ± 0.1491
Root relative squared error
0.876 ± 0.3194
SciMark benchmark
1340.1614