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