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 |