Fig. 4
From: Machine learning in physical activity, sedentary, and sleep behavior research
Three types of feature selection methods. a Filter-based feature selection employs an objective function to evaluate the relevance of a feature subset during the generation of feature lists. b Wrapper-based feature selection assesses the impact of a feature subset using the learning algorithm directly. c Embedded feature selection integrates an internal function to identify the most suitable feature subset for a prediction task