Performance comparison of machine learning classifiers on aircraft databases

• Main Authors: Kamarudin, Nur Diyana, Rahayu, Syarifah Bahiyah, Zainol, Zuraini, Rusli, Mohd. Shahrizal, Abdul Ghani, Kamaruddin
• Format: Article
• Published: Science and Technology Research Institute for Defence 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/86570/

The aim of this research is to analyse the performance of six different classifiers, which are κ-Nearest Neighbours (kNN), Naive Bayes, Random Tree, J48 Decision Tree, Random Forest Tree and Sequential Minimal Optimisation (SMO), using aircraft databases and optimize their cost parameter for better...