Moreover, several parameters of the models including the values of differences of coupling strengths, the SVM cost values and SVM gamma values are optimized for maximizing the predictive accuracy. Finally, the parameters of the trained model with the highest predictive accuracy in each data set, were selected and used to provide the prediction service on the web.
