Transporation mode detection using random forest
published: Oct. 23, 2018, recorded: October 2018, views: 965
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This paper addresses transportation mode detection for a mobile phone user using machine learning and based on mobile phone sensor data. We describe our approach to data collection, preprocessing and feature extraction. We evaluate our approach using random forest classification with focus on feature selection. We show that with feature selection we can significantly improve classification scores.
Download slides: sikdd2018_urbancic_transporation_mode_detection_01.pdf (828.8 KB)
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