rules

This category contains 16 nodes.

OneR (3.7)

Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes

PART (3.7)

Class for generating a PART decision list

Prism (3.7)

Class for building and using a PRISM rule set for classification

Ridor (3.7)

An implementation of a RIpple-DOwn Rule learner. It generates a default rule first and then the exceptions for the default rule with the least (weighted) […]

ZeroR (3.7)

Class for building and using a 0-R classifier