“…For a long time, linear discriminant analysis (LDA) (Garcia-Domenech and de Julian-Ortiz, 1998; Mishra et al, 2001; Cronin et al, 2002; Aptula et al, 2003; Molina et al, 2004; Murcia-Soler et al, 2004; Gonzalez-Diaz et al, 2005; Marrero-Ponce et al, 2005; Karakoc et al, 2006; Castillo-Garit et al, 2015) and ANN (Garcia-Domenech and de Julian-Ortiz, 1998; Tomas-Vert et al, 2000; Murcia-Soler et al, 2004; Cherkasov, 2005; Karakoc et al, 2006) were the most popular machine learning methods that were used for prediction of antibacterial activity. On the contrary, few studies successfully implemented other in silico techniques, for example, binary logistic regression (BLR) (Cronin et al, 2002; Aptula et al, 2003), SVM (Yang et al, 2009; Wang et al, 2014), kNN (Karakoc et al, 2006; Yang et al, 2009; Wang et al, 2014), and decision tree (DT) (Yang et al, 2009).…”