Run
304167

Run 304167

Task 98 (Learning Curve) sonar 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
0.7791 ± 0.0975
Per class
F measure
0.7563 ± 0.0836
Per class
Kappa
0.5106 ± 0.1663
KB relative information score
0.4657 ± 0.1503
Mean absolute error
0.2718 ± 0.0728
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7565 ± 0.0859
Per class
Predictive accuracy
0.7563 ± 0.0834
Prior entropy
0.9967 ± 0.0043
Recall
0.7563 ± 0.0834
Per class
Relative absolute error
0.5461 ± 0.1465
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4579 ± 0.0808
Root relative squared error
0.9178 ± 0.1622
SciMark benchmark
1340.2843