Uses of Class
weka.classifiers.trees.j48.ModelSelection
Packages that use ModelSelection
Package
Description
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Uses of ModelSelection in weka.classifiers.rules.part
Constructors in weka.classifiers.rules.part with parameters of type ModelSelectionModifierConstructorDescriptionC45PruneableDecList
(ModelSelection toSelectLocModel, double cf, int minNum) Constructor for pruneable tree structure.ClassifierDecList
(ModelSelection toSelectLocModel, int minNum) Constructor - just calls constructor of class DecList.MakeDecList
(ModelSelection toSelectLocModel, double cf, int minNum) Constructor for dec list pruned using C4.5 pruning.MakeDecList
(ModelSelection toSelectLocModel, int minNum) Constructor for unpruned dec list.MakeDecList
(ModelSelection toSelectLocModel, int num, int minNum, int seed) Constructor for dec list pruned using hold-out pruning.PruneableDecList
(ModelSelection toSelectLocModel, int minNum) Constructor for pruneable partial tree structure. -
Uses of ModelSelection in weka.classifiers.trees.j48
Subclasses of ModelSelection in weka.classifiers.trees.j48Modifier and TypeClassDescriptionclass
Class for selecting a C4.5-like binary (!) split for a given dataset.class
Class for selecting a C4.5-type split for a given dataset.class
Class for selecting a NB tree split.Constructors in weka.classifiers.trees.j48 with parameters of type ModelSelectionModifierConstructorDescriptionC45PruneableClassifierTree
(ModelSelection toSelectLocModel, boolean pruneTree, float cf, boolean raiseTree, boolean cleanup, boolean collapseTree) Constructor for pruneable tree structure.ClassifierTree
(ModelSelection toSelectLocModel) Constructor.NBTreeClassifierTree
(ModelSelection toSelectLocModel) PruneableClassifierTree
(ModelSelection toSelectLocModel, boolean pruneTree, int num, boolean cleanup, int seed) Constructor for pruneable tree structure. -
Uses of ModelSelection in weka.classifiers.trees.lmt
Subclasses of ModelSelection in weka.classifiers.trees.lmtModifier and TypeClassDescriptionclass
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals.Constructors in weka.classifiers.trees.lmt with parameters of type ModelSelectionModifierConstructorDescriptionLMTNode
(ModelSelection modelSelection, int numBoostingIterations, boolean fastRegression, boolean errorOnProbabilities, int minNumInstances, double weightTrimBeta, boolean useAIC, NominalToBinary ntb, int numDecimalPlaces) Constructor for logistic model tree node.