Run
58963

Run 58963

Task 1757 (Learning Curve) waveform-5000 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
0.8691 ± 0.0112
Per class
Build CPU time
0.0205
Build memory
2809920650.3429
F measure
0.7524 ± 0.0138
Per class
Kappa
0.6289 ± 0.0212
KB relative information score
0.5971 ± 0.0142
Mean absolute error
0.208 ± 0.0062
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7524 ± 0.0142
Per class
Predictive accuracy
0.7526 ± 0.0141
Prior entropy
1.5849 ± 0
Recall
0.7526 ± 0.0141
Per class
Relative absolute error
0.4681 ± 0.0139
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3633 ± 0.0102
Root relative squared error
0.7707 ± 0.0217
SciMark benchmark
1769.7895