|
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. |