Neural Networks Build a network based model to describe the impact that multiple predictor variables have on an outcome and to make predictions of a categorical or continuous outcome. K Nearest Neighbors Use an algorithm to predict a categorical or continuous outcome for new observations based upon the outcomes of similar observations (i.e., nearest neighbors). Support Vector Regression Build a boundary based statistical model to predict a continuous outcome as a function of multiple predictor variables. Support Vector Machines (Classification) Build a boundary based statistical model to predict a categorical outcome as a function of multiple predictor variables. Regression Trees (Partition) Build a partition based model (Decision Tree) that identify the most important factors that predict a continuous outcome and use the tree to make prediction for new observations.ĭiscriminant Analysis Build a boundary based statistical model to predict a categorical outcome as a function of multiple continuous preditor variables. Classification Trees (Partition) Build a partition based model (Decision Tree) that identify the most important factors that predict a categorical outcome and use the resulting tree to make predictions for new observations.
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