# 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.