Predictive modelling for motor insurance claims using artificial neural networks

• Main Authors: Mohd. Yunos, Zuriahati, Ali, Aida, Shamsyuddin, Siti Mariyam, Ismail, Noriszura, Sallehuddin, Roselina
• Format: Article
• Published: International Center for Scientific Research and Studies 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/74129/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010441001&partnerID=40&md5=af579fb1c71f9ff343e1c7145bd68b79
• Institution: Universiti Teknologi Malaysia

The expected claim frequency and the expected claim severity are used in predictive modelling for motor insurance claims. There are two category of claims were considered, namely, third party property damage (TPPD) and own damage (OD). Data sets from the year 2001 to 2003 are used to develop the pre...