Run
64193

Run 64193

Task 1705 (Learning Curve) letter 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
0.927 ± 0.0051
Per class
Build CPU time
0.0502
Build memory
1697913459.7778
F measure
0.7867 ± 0.0106
Per class
Kappa
0.778 ± 0.0113
KB relative information score
0.8036 ± 0.0105
Mean absolute error
0.0184 ± 0.0008
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7877 ± 0.0107
Per class
Predictive accuracy
0.7865 ± 0.0108
Prior entropy
4.6998 ± 0.0001
Recall
0.7865 ± 0.0108
Per class
Relative absolute error
0.2493 ± 0.0112
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.115 ± 0.0029
Root relative squared error
0.5979 ± 0.0149
SciMark benchmark
1353.7069