A Comment on “Correlation as a Heuristic for Accurate and Comprehensible Ant Colony Optimization-Based Classifiers”

The paper provides a comment from the authors regarding the correlation as a heuristic for accurate and comprehensible ant colony optimization-based classifiers. Baig et al. proposed a new classification rule mining algorithm in IEEE TEC. The technique introduces a correlation-based function for the ant colony optimization (ACO) component. The authors compare variants of the technique with several existing ACO-based algorithms and the state-of-the art RIPPER algorithm. The AntMiner+ algorithm, proposed by Martens et al. (2007) in IEEE TEC, was also included in the comparison. However, the reported performance is far below what is expected and is more akin to making random predictions.