Run
58964

Run 58964

Task 1764 (Learning Curve) electricity 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
0.8828 ± 0.0078
Per class
Build CPU time
0.0446
Build memory
2830364664.4
F measure
0.8196 ± 0.0088
Per class
Kappa
0.6297 ± 0.0181
KB relative information score
0.5148 ± 0.014
Mean absolute error
0.2493 ± 0.0066
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8197 ± 0.0087
Per class
Predictive accuracy
0.8203 ± 0.0087
Prior entropy
0.9835 ± 0
Recall
0.8203 ± 0.0087
Per class
Relative absolute error
0.5103 ± 0.0134
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3655 ± 0.0073
Root relative squared error
0.7394 ± 0.0148
SciMark benchmark
1769.7895