Package weka.classifiers.rules

Class Summary

ConjunctiveRule	This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels.
DecisionTable	Class for building and using a simple decision table majority classifier.
JRip	This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which is proposed by William W.
M5Rules	Generates a decision list for regression problems using separate-and-conquer.
NNge	NNge classifier.
OneR	Class for building and using a 1R classifier.
PART	Class for generating a PART decision list.
Prism	Class for building and using a PRISM rule set for classifcation.
Ridor	The implementation of a RIpple-DOwn Rule learner.
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.