B C D E G H L M N P S T U W

B

buildClassifier(Instances) - Method in class weka.classifiers.trees.SimpleCart

Build the classifier.

C

calculateAlphas() - Method in class weka.classifiers.trees.SimpleCart

Updates the alpha field for all nodes.

D

distributionForInstance(Instance) - Method in class weka.classifiers.trees.SimpleCart

Computes class probabilities for instance using the decision tree.

E

enumerateMeasures() - Method in class weka.classifiers.trees.SimpleCart

Return an enumeration of the measure names.

G

getCapabilities() - Method in class weka.classifiers.trees.SimpleCart

Returns default capabilities of the classifier.

getHeuristic() - Method in class weka.classifiers.trees.SimpleCart

Get if use heuristic search for nominal attributes in multi-class problems.

getMeasure(String) - Method in class weka.classifiers.trees.SimpleCart

Returns the value of the named measure.

getMinNumObj() - Method in class weka.classifiers.trees.SimpleCart

Get minimal number of instances at the terminal nodes.

getNumFoldsPruning() - Method in class weka.classifiers.trees.SimpleCart

Set number of folds in internal cross-validation.

getOptions() - Method in class weka.classifiers.trees.SimpleCart

Gets the current settings of the classifier.

getRevision() - Method in class weka.classifiers.trees.SimpleCart

Returns the revision string.

getSizePer() - Method in class weka.classifiers.trees.SimpleCart

Get training set size.

getTechnicalInformation() - Method in class weka.classifiers.trees.SimpleCart

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getUseOneSE() - Method in class weka.classifiers.trees.SimpleCart

Get if use the 1SE rule to choose final model.

getUsePrune() - Method in class weka.classifiers.trees.SimpleCart

Get if use minimal cost-complexity pruning.

globalInfo() - Method in class weka.classifiers.trees.SimpleCart

Return a description suitable for displaying in the explorer/experimenter.

H

heuristicTipText() - Method in class weka.classifiers.trees.SimpleCart

Returns the tip text for this property

L

listOptions() - Method in class weka.classifiers.trees.SimpleCart

Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.trees.SimpleCart

Main method.

measureTreeSize() - Method in class weka.classifiers.trees.SimpleCart

Return number of tree size.

minNumObjTipText() - Method in class weka.classifiers.trees.SimpleCart

Returns the tip text for this property

modelErrors() - Method in class weka.classifiers.trees.SimpleCart

Updates the numIncorrectModel field for all nodes when subtree (to be pruned) is rooted.

N

numFoldsPruningTipText() - Method in class weka.classifiers.trees.SimpleCart

Returns the tip text for this property

numInnerNodes() - Method in class weka.classifiers.trees.SimpleCart

Method to count the number of inner nodes in the tree.

numLeaves() - Method in class weka.classifiers.trees.SimpleCart

Compute number of leaf nodes.

numNodes() - Method in class weka.classifiers.trees.SimpleCart

Compute size of the tree.

P

prune(double) - Method in class weka.classifiers.trees.SimpleCart

Prunes the original tree using the CART pruning scheme, given a cost-complexity parameter alpha.

prune(double[], double[], Instances) - Method in class weka.classifiers.trees.SimpleCart

Method for performing one fold in the cross-validation of minimal cost-complexity pruning.

S

setHeuristic(boolean) - Method in class weka.classifiers.trees.SimpleCart

Set if use heuristic search for nominal attributes in multi-class problems.

setMinNumObj(double) - Method in class weka.classifiers.trees.SimpleCart

Set minimal number of instances at the terminal nodes.

setNumFoldsPruning(int) - Method in class weka.classifiers.trees.SimpleCart

Set number of folds in internal cross-validation.

setOptions(String[]) - Method in class weka.classifiers.trees.SimpleCart

Parses a given list of options.

setSizePer(double) - Method in class weka.classifiers.trees.SimpleCart

Set training set size.

setUseOneSE(boolean) - Method in class weka.classifiers.trees.SimpleCart

Set if use the 1SE rule to choose final model.

setUsePrune(boolean) - Method in class weka.classifiers.trees.SimpleCart

Set if use minimal cost-complexity pruning.

SimpleCart - Class in weka.classifiers.trees

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.

SimpleCart() - Constructor for class weka.classifiers.trees.SimpleCart

sizePerTipText() - Method in class weka.classifiers.trees.SimpleCart

Returns the tip text for this property

T

toString() - Method in class weka.classifiers.trees.SimpleCart

Prints the decision tree using the protected toString method from below.

treeErrors() - Method in class weka.classifiers.trees.SimpleCart

Updates the numIncorrectTree field for all nodes.

U

useOneSETipText() - Method in class weka.classifiers.trees.SimpleCart

Returns the tip text for this property

usePruneTipText() - Method in class weka.classifiers.trees.SimpleCart

Return the tip text for this property

W

weka.classifiers.trees - package weka.classifiers.trees

B C D E G H L M N P S T U W