Explainable artificial intelligence: a comprehensive review

This review aims to bridge the gap by discovering the critical perspectives of the rapidly growing body of research associated with XAI by analyzing and reviewing various XAI methods, which are grouped into (i) pre-modeling explainability, (ii) interpretable model, and (iii) post-modelling explainability.