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

B

BFTree - Class in weka.classifiers.trees
Class for building a best-first decision tree classifier.
BFTree() - Constructor for class weka.classifiers.trees.BFTree
 
buildClassifier(Instances) - Method in class weka.classifiers.trees.BFTree
Method for building a BestFirst decision tree classifier.

D

distributionForInstance(Instance) - Method in class weka.classifiers.trees.BFTree
Computes class probabilities for instance using the decision tree.

E

enumerateMeasures() - Method in class weka.classifiers.trees.BFTree
Return an enumeration of the measure names.

G

getCapabilities() - Method in class weka.classifiers.trees.BFTree
Returns default capabilities of the classifier.
getHeuristic() - Method in class weka.classifiers.trees.BFTree
Get if use heuristic search for nominal attributes in multi-class problems.
getMeasure(String) - Method in class weka.classifiers.trees.BFTree
Returns the value of the named measure
getMinNumObj() - Method in class weka.classifiers.trees.BFTree
Get minimal number of instances at the terminal nodes.
getNumFoldsPruning() - Method in class weka.classifiers.trees.BFTree
Set number of folds in internal cross-validation.
getOptions() - Method in class weka.classifiers.trees.BFTree
Gets the current settings of the Classifier.
getPruningStrategy() - Method in class weka.classifiers.trees.BFTree
Gets the pruning strategy.
getRevision() - Method in class weka.classifiers.trees.BFTree
Returns the revision string.
getSizePer() - Method in class weka.classifiers.trees.BFTree
Get training set size.
getTechnicalInformation() - Method in class weka.classifiers.trees.BFTree
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.
getUseErrorRate() - Method in class weka.classifiers.trees.BFTree
Get if use error rate in internal cross-validation.
getUseGini() - Method in class weka.classifiers.trees.BFTree
Get if use Gini index as splitting criterion.
getUseOneSE() - Method in class weka.classifiers.trees.BFTree
Get if use the 1SE rule to choose final model.
globalInfo() - Method in class weka.classifiers.trees.BFTree
Returns a string describing classifier

H

heuristicTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property

L

listOptions() - Method in class weka.classifiers.trees.BFTree
Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.trees.BFTree
Main method.
measureTreeSize() - Method in class weka.classifiers.trees.BFTree
Return number of tree size.
minNumObjTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property

N

numFoldsPruningTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property
numLeaves() - Method in class weka.classifiers.trees.BFTree
Compute number of leaf nodes.
numNodes() - Method in class weka.classifiers.trees.BFTree
Compute size of the tree.

P

PRUNING_POSTPRUNING - Static variable in class weka.classifiers.trees.BFTree
pruning strategy: post-pruning
PRUNING_PREPRUNING - Static variable in class weka.classifiers.trees.BFTree
pruning strategy: pre-pruning
PRUNING_UNPRUNED - Static variable in class weka.classifiers.trees.BFTree
pruning strategy: un-pruned
pruningStrategyTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property

S

setHeuristic(boolean) - Method in class weka.classifiers.trees.BFTree
Set if use heuristic search for nominal attributes in multi-class problems.
setMinNumObj(int) - Method in class weka.classifiers.trees.BFTree
Set minimal number of instances at the terminal nodes.
setNumFoldsPruning(int) - Method in class weka.classifiers.trees.BFTree
Set number of folds in internal cross-validation.
setOptions(String[]) - Method in class weka.classifiers.trees.BFTree
Parses the options for this object.
setPruningStrategy(SelectedTag) - Method in class weka.classifiers.trees.BFTree
Sets the pruning strategy.
setSizePer(double) - Method in class weka.classifiers.trees.BFTree
Set training set size.
setUseErrorRate(boolean) - Method in class weka.classifiers.trees.BFTree
Set if use error rate in internal cross-validation.
setUseGini(boolean) - Method in class weka.classifiers.trees.BFTree
Set if use Gini index as splitting criterion.
setUseOneSE(boolean) - Method in class weka.classifiers.trees.BFTree
Set if use the 1SE rule to choose final model.
sizePerTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property

T

TAGS_PRUNING - Static variable in class weka.classifiers.trees.BFTree
pruning strategy
toString() - Method in class weka.classifiers.trees.BFTree
Prints the decision tree using the protected toString method from below.

U

useErrorRateTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property
useGiniTipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property
useOneSETipText() - Method in class weka.classifiers.trees.BFTree
Returns the tip text for this property

W

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

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