Run
461671

Run 461671

Task 82 (Learning Curve) cmc Uploaded 04-07-2015 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
0.6731 ± 0.0326
Per class
F measure
0.5026 ± 0.0381
Per class
Kappa
0.2314 ± 0.0577
KB relative information score
0.2015 ± 0.0293
Mean absolute error
0.3723 ± 0.0118
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5113 ± 0.0413
Per class
Predictive accuracy
0.5032 ± 0.0393
Prior entropy
1.539 ± 0.0028
Recall
0.5032 ± 0.0393
Per class
Relative absolute error
0.8642 ± 0.0273
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4493 ± 0.0122
Root relative squared error
0.968 ± 0.0263
SciMark benchmark
944.4979