Run
304199

Run 304199

Task 1710 (Learning Curve) balance-scale 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
0.7568 ± 0.057
Per class
F measure
0.6704 ± 0.0252
Per class
Kappa
0.4394 ± 0.1058
KB relative information score
0.3091 ± 0.0589
Mean absolute error
0.2727 ± 0.0262
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6466 ± 0.0275
Per class
Predictive accuracy
0.696 ± 0.0562
Prior entropy
1.3181 ± 0.0124
Recall
0.696 ± 0.0562
Per class
Relative absolute error
0.7182 ± 0.0686
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3872 ± 0.0295
Root relative squared error
0.889 ± 0.0678
SciMark benchmark
1340.1614