Package

weka.classifiers.bayes

Synopsis

AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value.

For more information, see:
Fei Zheng, Geoffrey I. Webb: Efficient Lazy Elimination for Averaged-One Dependence Estimators. In: Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006), 1113-1120, 2006.

Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (averagedOneDependenceEstimators).

Options

The table below describes the options available for AODEsr.

Option	Description
criticalValue	Specify critical value for specialization-generalization relationship (default 50).
debug	If set to true, classifier may output additional info to the console.
frequencyLimit	Attributes with a frequency in the train set below this value aren't used as parents.
mestWeight	Set the weight for m-estimate.
useLaplace	Use Laplace correction instead of m-estimation.

Capabilities

The table below describes the capabilites of AODEsr.

Capability	Supported
Class	Nominal class, Binary class, Missing class values
Attributes	Missing values, Empty nominal attributes, Binary attributes, Unary attributes, Nominal attributes
Min # of instances	0

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