Multiple-classification ripple-down rules

Multiple-classification ripple-down rules (MCRDR) is a machine learning technique used for classification tasks. It is an extension of the ripple-down rules (RDR) framework, which is a rule-based approach that allows for the incremental and efficient creation of classification rules. ### Key Features of MCRDR: 1. **Rule-Based System**: MCRDR operates by constructing a set of rules that can classify instances into multiple categories or classes.