Uses of Package
com.imsl.datamining.decisionTree
Packages that use com.imsl.datamining.decisionTree
Package
Description
Data mining and machine learning.
Decision trees.
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Classes in com.imsl.datamining.decisionTree used by com.imsl.dataminingClassDescriptionServes as the root node of a decision tree and contains information about the relationship of child nodes.
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Classes in com.imsl.datamining.decisionTree used by com.imsl.datamining.decisionTreeClassDescriptionGenerates a decision tree using the CARTTM method of Breiman, Friedman, Olshen and Stone (1984).Generates a decision tree using the C4.5 algorithm for a categorical response variable and categorical or quantitative predictor variables.Generates a decision tree using CHAID for categorical or discrete ordered predictor variables.Abstract class for generating a decision tree for a single response variable and one or more predictor variables.Exception thrown when the maximum tree size has been exceeded.Exception thrown when pruning fails to converge.Exception thrown when attempting to split a node that is already pure (response variable is constant).Abstract class that extends
DecisionTreefor classes that use an information gain criteria.Specifies which information gain criteria to use in determining the best split at each node.Methods to account for missing values in predictor variables.Generates a decision tree using the QUEST algorithm for a categorical response variable and categorical or quantitative predictor variables.Generates predictions using a random forest of decision trees.Serves as the root node of a decision tree and contains information about the relationship of child nodes.ADecisionTreenode that is a child node ofTree.