An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

• Published in: Intelligent Systems Vol. 12319; pp. 18 - 33
• Main Authors: Cagnini, Henry E. L., Freitas, Alex A., Barros, Rodrigo C.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2020; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Classification; Ensemble learning; Evolutionary algorithms; Machine learning; Supervised learning

Ensembles of classifiers are a very popular type of method for performing classification, due to their usually high predictive accuracy. However, ensembles have two drawbacks. First, ensembles are usually considered a ‘black box’, non-interpretable type of classification model, mainly because typica...