Abstract: Feature selection is a crucial step in machine learning, aimed at improving model performance by reducing data dimensionality and enhancing interpretability. This study investigates the use ...
Abstract: This paper explores human activity recognition (HAR) using machine learning models to classify activities based on sensor data with high precision. The study leverages the UCI HAR dataset, ...
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