Run
58940

Run 58940

Task 1717 (Learning Curve) mfeat-morphological 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
0.9478 ± 0.0078
Per class
Build CPU time
0.002
Build memory
3239507572.5091
F measure
0.6942 ± 0.0213
Per class
Kappa
0.6744 ± 0.0271
KB relative information score
0.7315 ± 0.0173
Mean absolute error
0.0713 ± 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
0.7025 ± 0.0413
Per class
Predictive accuracy
0.707 ± 0.0244
Prior entropy
3.3219
Recall
0.707 ± 0.0244
Per class
Relative absolute error
0.3959 ± 0.0175
Root mean prior squared error
0.3
Root mean squared error
0.1961 ± 0.0069
Root relative squared error
0.6535 ± 0.0229
SciMark benchmark
1769.7895