“…This part of the thesis was mostly focused on comparing classification methods and investigating which machine learning method delivers the best results. A number of different classifiers have been utilised, with neural networks, support vector machines and discriminant analysis achieving the highest accuracy (d'Amico et al, 2004;Arroyo and Zapirain, 2014;Blanzieri et al, 2000;Celebi et al, 2009;Dreiseitl et al, 2001;Garcia-Arroyo and Garcia-Zapirain, 2018;Grana et al, 2003;Maglogiannis et al, 2001Maglogiannis et al, , 2005Maglogiannis and Kosmopoulos, 2006;Maglogiannis and Zafiropoulos, 2004;Messadi et al, 2009;Nasir et al, 2018;Rahman and Bhattacharya, 2010;Sadeghi et al, 2011;Serrano and Acha, 2009;Tanaka et al, 2004;Yuan et al, 2006;Zhang et al, 2003). Other groups were concerned mostly about the feature extraction step, using statistical methods and supervised learning to lower the feature level, to achieve better performance on classification.…”