Run
462930

Run 462930

Task 80 (Learning Curve) car Uploaded 06-07-2015 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.

22 Evaluation measures

Area under ROC curve
0.9774 ± 0.0105
Per class
F measure
0.9206 ± 0.0188
Per class
Kappa
0.8272 ± 0.0399
KB relative information score
0.8348 ± 0.0378
Mean absolute error
0.0418 ± 0.0086
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9212 ± 0.0182
Per class
Predictive accuracy
0.9204 ± 0.0183
Prior entropy
1.2058 ± 0.0089
Recall
0.9204 ± 0.0183
Per class
Relative absolute error
0.1827 ± 0.0377
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1695 ± 0.0202
Root relative squared error
0.5013 ± 0.0598
SciMark benchmark
944.4979