Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams

Helen McKay, Nathan Griffiths, Phillip Taylor

Meta-learners and ensembles aim to combine a set of relevant yet diverse base models to improve predictive performance. However, determining an appropriate set of base models is ch…