Package

weka.classifiers.trees

Synopsis

Class for constructing a tree that considers K randomly chosen attributes at each node. Performs no pruning.

The table below describes the options available for RandomTree.

Option	Description
KValue	Sets the number of randomly chosen attributes.
debug	If set to true, classifier may output additional info to the console.
maxDepth	The maximum depth of the tree, 0 for unlimited.
minNum	The minimum total weight of the instances in a leaf.
seed	The random number seed used for selecting attributes.

The table below describes the capabilites of RandomTree.

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