Run
1810719

Run 1810719

Task 3527 (Supervised Classification) oh0.wc Uploaded 31-07-2016 by Jan van Rijn
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Flow

weka.LWL_J48(3)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.LWL_J48(3)_Atrue
weka.LWL_J48(3)_K-1
weka.LWL_J48(3)_U0
weka.LWL_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.

17 Evaluation measures

Area under ROC curve
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8145
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7836
Cross-validation details (10-fold Crossvalidation)
KB relative information score
791.3173
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0423
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1749
Cross-validation details (10-fold Crossvalidation)
Number of instances
1003
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8227
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8116
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1536
Cross-validation details (10-fold Crossvalidation)
Recall
0.8116
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2417
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1802
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6092
Cross-validation details (10-fold Crossvalidation)