Package weka.classifiers.rules

Class Summary

Class	Description
DecisionTable	Class for building and using a simple decision table majority classifier. For more information see: Ron Kohavi: The Power of Decision Tables.
DecisionTableHashKey	Class providing hash table keys for DecisionTable
JRip	This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W.
M5Rules	Generates a decision list for regression problems using separate-and-conquer.
OneR	Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
PART	Class for generating a PART decision list.
Rule	Abstract class of generic rule
RuleStats	This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives, filter data based on the ruleset, etc.
ZeroR	Class for building and using a 0-R classifier.