ClassificationViaRegression
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 |