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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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