Computer Engineering Commons^™

An Analysis Of The Predictive Capability Of C5.0 And Chaid Decision Trees And Bayes Net In The Classification Of Fatal Traffic Accidents In The Uk, Aiden O'Connor

Dissertations

Road traffic accidents are a significant cause of deaths worldwide and there is a global focus on understanding accident contributory factors and implementing prevention strategies. Although accident statistics are steadily improving, effective prevention must be persistent, evidence based and properly resourced. This research aimed to extract fatal traffic accident prediction from UK STATS19 accident data using C5.0 and Chaid decision trees and Bayes net classification models. Data was grouped as either fatal or non-fatal. The class imbalance due to fatal accident infrequency was considered and data transformation and sampling techniques were applied to increase prediction likelihood. Chaid was used for …