Stacked Generalization for Human Activity Recognition

09/22/2020

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by   Ambareesh Ravi, et al.

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This short paper aims to discuss the effectiveness and performance of classical machine learning approaches for Human Activity Recognition (HAR). It proposes two important models - Extra Trees and Stacked Classifier with the emphasize on the best practices, heuristics and measures that are required to maximize the performance of those models.