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## 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.
DecisionTable.hashKey | Class providing keys to the hash table
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.

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