Package weka.classifiers.rules

package weka.classifiers.rules
  • Classes
    Class for building and using a simple decision table majority classifier.

    For more information see:

    Ron Kohavi: The Power of Decision Tables.
    Class providing hash table keys for DecisionTable
    This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W.
    Generates a decision list for regression problems using separate-and-conquer.
    Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
    Class for generating a PART decision list.
    Abstract class of generic rule
    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.
    Class for building and using a 0-R classifier.