Package

weka.classifiers.meta

Synopsis

Class for doing classification using regression methods. Class is binarized and one regression model is built for each class value. For more information, see, for example

E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.

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

Options

The table below describes the options available for ClassificationViaRegression.

Option	Description
classifier	The base classifier to be used.
debug	If set to true, classifier may output additional info to the console.

Capabilities

The table below describes the capabilites of ClassificationViaRegression.

Capability	Supported
Class	Binary class, Missing class values, Nominal class
Attributes	Missing values, Empty nominal attributes, Binary attributes, Numeric attributes, Nominal attributes, Date attributes, Unary attributes
Min # of instances	1

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