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Package

weka.classifiers.trees

Synopsis

Class for generating a multi-class alternating decision tree using the LogitBoost strategy. For more info, see

Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.

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

Options

The table below describes the options available for LADTree.

Option

Description

debug

If set to true, classifier may output additional info to the console.

numOfBoostingIterations

The number of boosting iterations to use, which determines the size of the tree.

Capabilities

The table below describes the capabilites of LADTree.

Capability

Supported

Class

Missing class values, Binary class, Nominal class

Attributes

Empty nominal attributes, Missing values, Unary attributes, Date attributes, Numeric attributes, Binary attributes, Nominal attributes

Min # of instances

1

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