Naïve Bayes

Definition(s)

A Supervised Learning Algorithm in which the relative frequency of words (or other Features) in Relevant and Non-Relevant Training Examples is used to estimate the likelihood that a new Document containing those words (or other Features) is Relevant. Naïve Bayes relies on the simplistic assumption that the words in a Document occur with independent Probabilities, with the consequence that it tends to yield extremely low or extremely high estimates. 1

Notes

  1. Maura R. Grossman and Gordon V. Cormack, EDRM page & The Grossman-Cormack Glossary of Technology-Assisted Review, with Foreword by John M. Facciola, U.S. Magistrate Judge2013 Fed. Cts. L. Rev. 7 (January 2013).