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 |