Package

weka.classifiers.trees

Synopsis

Class implementing minimal cost-complexity pruning.
Note when dealing with missing values, use "fractional instances" method instead of surrogate split method.

For more information, see:

Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.

Options

The table below describes the options available for SimpleCart.

Option	Description
debug	If set to true, classifier may output additional info to the console.
heuristic	If heuristic search is used for binary split for nominal attributes in multi-class problems (default yes).
minNumObj	The minimal number of observations at the terminal nodes (default 2).
numFoldsPruning	The number of folds in the internal cross-validation (default 5).
seed	The random number seed to be used.
sizePer	The percentage of the training set size (0-1, 0 not included).
useOneSE	Use the 1SE rule to make pruning decisoin.
usePrune	Use minimal cost-complexity pruning (default yes).

Capabilities

The table below describes the capabilites of SimpleCart.

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

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