Run
437209

Run 437209

Task 70 (Learning Curve) balance-scale Uploaded 13-05-2015 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
0.7592 ± 0.045
Per class
F measure
0.6767 ± 0.0505
Per class
Kappa
0.4493 ± 0.0922
KB relative information score
0.3137 ± 0.0542
Mean absolute error
0.2714 ± 0.0219
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6603 ± 0.0496
Per class
Predictive accuracy
0.701 ± 0.0509
Prior entropy
1.3181 ± 0.0119
Recall
0.701 ± 0.0509
Per class
Relative absolute error
0.7146 ± 0.0576
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.386 ± 0.0251
Root relative squared error
0.8862 ± 0.0576
SciMark benchmark
921.1883