RandomTree
Package
weka.classifiers.trees
Synopsis
Class for constructing a tree that considers K randomly chosen attributes at each node. Performs no pruning.
Options
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. |
Capabilities
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 |