Package

weka.classifiers.trees

Synopsis

Class for constructing a forest of random trees.

For more information see:

Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.

The table below describes the options available for RandomForest.

Option	Description
debug	If set to true, classifier may output additional info to the console.
maxDepth	The maximum depth of the trees, 0 for unlimited.
numFeatures	The number of attributes to be used in random selection (see RandomTree).
numTrees	The number of trees to be generated.
seed	The random number seed to be used.

The table below describes the capabilites of RandomForest.

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