Run
64206

Run 64206

Task 1727 (Learning Curve) optdigits Uploaded 17-11-2014 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
0.9096 ± 0.0092
Per class
Build CPU time
0.0381
Build memory
1837362948.3429
F measure
0.7798 ± 0.0125
Per class
Kappa
0.7566 ± 0.0144
KB relative information score
0.7717 ± 0.0158
Mean absolute error
0.05 ± 0.0032
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7799 ± 0.0126
Per class
Predictive accuracy
0.781 ± 0.0129
Prior entropy
3.3218 ± 0.0001
Recall
0.781 ± 0.0129
Per class
Relative absolute error
0.2776 ± 0.0177
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1923 ± 0.0071
Root relative squared error
0.641 ± 0.0237
SciMark benchmark
1353.7069