“…Possible learning methods include regression models, nearest neighbor classifiers, decision trees, Bayesian probabilistic classifiers, inductive rule learning algorithms, neural networks, online learning approaches, support vector machines, genetic programming techniques, and many hybrid methods. Instead of fixating on a single classification technique, the research will explore ensemble approaches that combine different techniques, such as bagging [2], boosting [5,21] and staged approaches.…”