Building interpretable predictive models with context-aware evolutionary learning

Binh Tran, Chamika Sudusinghe, Su Nguyen, Damminda Alahakoon

Abstract: Highlights•A new context-aware evolutionary learning for interpretable prediction models.•A new unsupervised self-structuring learning to extract contexts automatically.•CELA can outperform interpretable ML and be comparable to black-box algorithms.•Using context-aware representation, CELA generates smaller and more readable models.