_{#Weka.classifiers.rules Classes and Interfaces - 10 results found.}

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Name	Description	Type	Package	Framework
C45PruneableDecList	Class for handling a partial tree structure pruned using C4.	Class	weka.classifiers.rules.part	Weka
ClassifierDecList	Class for handling a rule (partial tree) for a decision list.	Class	weka.classifiers.rules.part	Weka
DecisionTable	Class for building and using a simple decision table majority classifier.	Class	weka.classifiers.rules	Weka
DecisionTableHashKey	Class providing hash table keys for DecisionTableSee Also:Serialized Form	Class	weka.classifiers.rules	Weka
OneR	Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing	Class	weka.classifiers.rules	Weka
PART	Class for generating a PART decision list.	Class	weka.classifiers.rules	Weka
PruneableDecList	Class for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs.	Class	weka.classifiers.rules.part	Weka
Rule	Abstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs.	Class	weka.classifiers.rules	Weka
RuleStats	This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives,	Class	weka.classifiers.rules	Weka
ZeroR	Class for building and using a 0-R classifier.	Class	weka.classifiers.rules	Weka