Quadratic Multiform Separation: A New Classification Model in Machine Learning

10/10/2021

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by   Ko-Hui Michael Fan, et al.

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