USING MACHINE LEARNING TO PREDICT SMARTPHONE USAGE

This thesis shows the process of creating and analyzing a machine-learning model that went over prevalent classification algorithms and their advantages and disadvantages, and a Random Forest model is implemented to predict participants’ smartphone usage.