Run
59091

Run 59091

Task 1728 (Learning Curve) credit-approval 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
0.892 ± 0.0524
Per class
Build CPU time
0.001
Build memory
3763079855.4
F measure
0.862 ± 0.0471
Per class
Kappa
0.7201 ± 0.0961
KB relative information score
0.6236 ± 0.0692
Mean absolute error
0.1992 ± 0.0313
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8623 ± 0.0472
Per class
Predictive accuracy
0.8623 ± 0.047
Prior entropy
0.9912 ± 0.0022
Recall
0.8623 ± 0.047
Per class
Relative absolute error
0.4033 ± 0.0637
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3295 ± 0.0526
Root relative squared error
0.6631 ± 0.1064
SciMark benchmark
1769.7895