Quadratic Multiform Separation: A New Classification Model in Machine Learning

In this paper we present a new classification model in machine learning. Our\nresult is threefold: 1) The model produces comparable predictive accuracy to\nthat of most common classification models. 2) It runs significantly faster than\nmost common classification models. 3) It has the ability to identify a portion\nof unseen samples for which class labels can be found with much higher\npredictive accuracy. Currently there are several patents pending on the\nproposed model.\n