The primary objective of this research is to obtain an accurate forecasting model for the US presidential election. To identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on some specified performance measures. Moreover, six...

Support vector machines are increasingly being used for problems involving both regression and classification. An inherent limitation of the original model formulation meant that the models output could not be interpreted probabilistic framework. This issue has recently been addressed, so that...