Run
463496

Run 463496

Task 66 (Learning Curve) audiology Uploaded 09-07-2015 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.

20 Evaluation measures

Area under ROC curve
0.9231 ± 0.0351
Per class
Kappa
0.7403 ± 0.0898
KB relative information score
0.7396 ± 0.0785
Mean absolute error
0.0224 ± 0.0053
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.777 ± 0.0784
Prior entropy
3.4373 ± 0.1528
Recall
0.777 ± 0.0784
Per class
Relative absolute error
0.3093 ± 0.072
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1219 ± 0.0208
Root relative squared error
0.6438 ± 0.1093
SciMark benchmark
921.1883