With the increase in the complexity of data, and to fulfill the accuracy-related requirements, people started preferring ensemble classifiers. However, the selection of ensemble classifiers is not that easy. We have a lot of ensemble strategies, like: (1) Model Averaging, (2) Weighted Model Averaging, (3) Majority Voting, (4) Bagging, (5) Boosting, (6) Stacking, (7) Blending,
