This paper presents to compare prediction models for road deaths on road network by data mining techniques. In this work; the classifier is selected from four prediction algorithms: Random Forest (RF); Support Vector Machine (SVM); K-Nearest

of all original features; a feature optimisation process is performed. The optimal feature set is searched by a machine learning approach; like naïve Bayes and support vector machine classifier. Hand-drawn ground-truth images from expert ophthalmologists