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Author/Affiliation: John TsiligaridisOpen AccessArticle
7 Pages, 972 KB 
Tree-Based Ensemble Models, Algorithms and Performance Measures for Classification
Abstract:
An ensemble method is a Machine Learning (ML) algorithm that aggregates the predictions of multiple estimators or models. The purpose of an ensemble module is to provide better predictive performance than any single contributing model. This can be achieved by producing a predictive model with reduced variance using bagging, and bias using boosting. The Tree-Based…
Read More(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Artificial Intelligence in Computer Science (CAI))