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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
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