Run
58937

Run 58937

Task 1713 (Learning Curve) mfeat-fourier Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.FilteredClassifier_Discretize_J48(3)Weka implementation of FilteredClassifier
weka.Discretize(2)_Rfirst-last
weka.Discretize(2)_precision6
weka.J48(13)_C0.25
weka.J48(13)_M2
weka.FilteredClassifier_Discretize_J48(3)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(3)_Wweka.classifiers.trees.J48

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.

21 Evaluation measures

Area under ROC curve
0.8655 ± 0.0165
Per class
Build CPU time
0.0223
Build memory
2801172118.3273
F measure
0.6809 ± 0.0262
Per class
Kappa
0.6456 ± 0.0297
KB relative information score
0.6714 ± 0.0262
Mean absolute error
0.0691 ± 0.0053
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6812 ± 0.0254
Per class
Predictive accuracy
0.681 ± 0.0267
Prior entropy
3.3219
Recall
0.681 ± 0.0267
Per class
Relative absolute error
0.384 ± 0.0293
Root mean prior squared error
0.3
Root mean squared error
0.2349 ± 0.0099
Root relative squared error
0.7828 ± 0.0329
SciMark benchmark
1769.7895