Quadratic Multiform Separation: A New Classification Model in Machine Learning. (arXiv:2110.04925v2 [stat.ML] UPDATED)

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.

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