Hitachi Vantara Pentaho Community Wiki
Child pages
  • RandomForest
Skip to end of metadata
Go to start of metadata

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.

Options

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.

Capabilities

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

  • No labels