An ML Ensemble Model for Evaluating Student Performance and Recommending Academic Specializations in Science or Literature
An ensemble model that combines three ML algorithms Random Forest, K-nearest Neighbors, and ADABOOST is proposed that is higher than the accuracies of the compared models and integrated through a voting mechanism.
H. Hassan, B. Mohammed, Sakar Omer Khdr et al.
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