Run
64192

Run 64192

Task 1702 (Learning Curve) kr-vs-kp 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
0.9979 ± 0.0029
Per class
Build CPU time
0.0041
Build memory
3219221536.4
F measure
0.9947 ± 0.0047
Per class
Kappa
0.9893 ± 0.0094
KB relative information score
0.9845 ± 0.0091
Mean absolute error
0.0086 ± 0.0045
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9947 ± 0.0046
Per class
Predictive accuracy
0.9947 ± 0.0047
Prior entropy
0.9986 ± 0.0002
Recall
0.9947 ± 0.0047
Per class
Relative absolute error
0.0173 ± 0.009
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0725 ± 0.0345
Root relative squared error
0.1451 ± 0.0691
SciMark benchmark
1353.7069