Enhanced Ensemble Models for Predictive Modeling: A Conceptual Framework
Janson Luke Ong Wai Kit, Vijanth Sagayan Asirvadam, Mohd Fadzil Hassan
Abstract
Ensemble Model learnings refers to a collection of techniques that combine multiple learning algorithms to improve overall prediction accuracy and persistency. This paper looks into the conceptual framework of how to enhance the ensemble model techniques and provide a comprehensive study on predictive model approach using an enhanced ensemble model. We explore the framework, performance evaluation and experimental approach.
Topics & Concepts
Computer scienceEnsemble learningEnsemble forecastingMachine learningArtificial intelligenceMultiple ModelsData miningTime Series Analysis and ForecastingData Stream Mining TechniquesNeural Networks and Applications