Run
64200

Run 64200

Task 1719 (Learning Curve) mfeat-pixel 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
0.9161 ± 0.0125
Per class
Build CPU time
0.0272
Build memory
1842804015.8546
F measure
0.7967 ± 0.0228
Per class
Kappa
0.7733 ± 0.0256
KB relative information score
0.7913 ± 0.0193
Mean absolute error
0.045 ± 0.0032
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7988 ± 0.0253
Per class
Predictive accuracy
0.796 ± 0.0231
Prior entropy
3.3219
Recall
0.796 ± 0.0231
Per class
Relative absolute error
0.25 ± 0.0179
Root mean prior squared error
0.3
Root mean squared error
0.1837 ± 0.01
Root relative squared error
0.6122 ± 0.0335
SciMark benchmark
1353.7069