A Meta-Ensemble Classifier Approach: Random Rotation Forest
A Meta-Ensemble Classifier Approach: Random Rotation Forest is a scholarly work, published in 2019 in ''Balkan Journal of Electrical and Computer Engineering''. The main subjects of the publication include random forest, bootstrap aggregating, pattern recognition, rotation, computer science, artificial intelligence, ensemble learning, machine learning, anomaly detection, classifier, and C4.5 algorithm. The authors present a meta-ensemble classifier, called Random Rotation Forest to utilize and combine the advantages of two classifiers (e.g.