Evaluating And Choosing A Machine Learning Algorithm For Classifying Road Surface Quality Data

ABSTRACT Considering the importance of roads to a community, stakeholders (Governments, Motorists etc) need up-to-date information about the state of roads for decision making . This problem inspired Vorgbe’s (2014) work in implementing a machine learning classifier that could accurately classify roads as “good”, “fair” or “bad”. This information can then be visualised on Google Maps. However, with his algorithm failing to accurately classify some roads, this project seeks to evaluate five classification algorithms to determine which one is best for classifying road surface quality data. To do…