Run
1688424

Run 1688424

Task 3019 (Supervised Classification) Australian Uploaded 23-07-2016 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
0.8393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6825
Cross-validation details (10-fold Crossvalidation)
KB relative information score
450.9473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1759
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.356
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3717
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.748
Cross-validation details (10-fold Crossvalidation)