“…As mentioned in [11,64,65], SVM has been known as a very potential tool in solving the classification problems. Being introduced by Vapnik [65] from the Statistical Learning Theory (SLT), it is found that SVM performs better than Artificial Neural Networks (ANN) because, SVM's essence follows on Structural Risk Minimization (SRM) while ANN is based on the Empirical Risk Minimization (ERM) [11,12,19,64,66]. The typical steps for SVM comprised of extracting the input features, and training the SVM classifier.…”