Applying Ant Colony Optimization to configuring stacking ensembles for data mining
The approach applies Ant Colony Optimization in configuring stacking ensemble. It is compared with existing methods on 18 benchmark datasets. It is used in a real-world cost-sensitive data mining problem. It outperforms existing methods on many datasets and the data mining problem. The approach generates good cost-sensitive ensembles from ordinary learning algorithms.
stacking ensemble data mining aco metaheuristics direct marketing