QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation

Tomas Kliegr, Ebroul Izquierdo

A prediscretisation of numerical attributes which is required by some rule learning algorithms is a source of inefficiencies. This paper describes new rule tuning steps that aim to…