Vapnik, V (1995), The Nature of Statistical Learning Theory. New York: Springer Verlag Westin, L (2001), Receiver operating characteristic (ROC) analysis: Evaluating discriminance effects among decision support systems, Tech. Rep. UMINF 01.18, ISSN-0348-0542, Department of Computer Science, Umea University, SE-90187, Umea, Sweden, http://www.cs.umu.se/research/reports/2001/018/part1.pdf. Zeng, L. (1999), Prediction and Classification With Neural Network Models, Sociological Methods & Research, vol. 27, no. 4, pp. 499–524 Zweig, M.H and G. Campbell, (1993), Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clinical Chemistry, vol. 39, no. 4, pp. 561–577. Biographies Eyasu Hayemariam is an MSc in Electrical Engineering student at the University of the Witwatersrand in South Africa. He graduated with a BSc Degree in Statistics at the University of Osmara in Eritrea Tshilidzi Marwala received a BS in Mechanical Engineering at Case Western Reserve University in Ohio, an MSc in Mechanical Engineering from University of Pretoria and a PhD in Artificial Intelligence from the University of Cambridge. Previously he was a post-doctoral fellow at Imperial College (London). He is currently a professor at the University of the Witwatersrand in South Africa. 

Monica Lagazio holds a PhD in Politics and Artificial Intelligence from Nottingham University and an MA in Politics from the University of London. Before joining the University of Kent at Canterbury in 2004, she was Lecturer in Politics at the University of the Witwatersrand and Research Fellow at Yale University. She also held a position of senior consultant in the economic and financial service of one of the leading global consulting companies in London. 