Title :
Cascade Generalization with Classification and Model Trees
Author :
Kotsiantis, Sotiris ; Kanellopoulos, Dimitris
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Peloponnese, Peloponnese
Abstract :
This paper proposes a cascade generalization technique, which combines the predictions of a classification tree and a model tree algorithm. We performed a comparison with other well known ensembles of decision trees, on standard benchmark datasets and the performance of the proposed technique was greater in most cases.
Keywords :
decision trees; cascade generalization; classification tree; decision trees; model trees; Bagging; Boosting; Classification tree analysis; Computer science; Decision trees; Information technology; Predictive models; Sampling methods; Training data; Voting; classification; ensemble of classifiers; supervised machine learning;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.175
