a set of supervised learning methods used for classification, regression and outliers detection.  the data is segregated by feature (two classed) and separated by a hyperplane (i.e. line)
a set of supervised learning methods used for classification, regression and outliers detection.  the data is segregated by feature (two classed) and separated by a hyperplane (i.e. line)
learning algorithm that seeks to maximize the margin between positive and negative samples in order to achieve the best generalization, may use a kernel function to achieve linear separability