Wallenius Naive Bayes

12 Pages Posted: 21 Dec 2013

Date Written: December 2013

Abstract

Traditional event models underlying naive Bayes classifiers assume probability distributions that are not appropriate for binary data generated by human behaviour. In this work, we develop a new event model, based on a somewhat forgotten distribution created by Kenneth Ted Wallenius in 1963. We show that it achieves superior performance using less data on a collection of Facebook datasets, where the task is to predict personality traits, based on likes.

Suggested Citation

Junqué de Fortuny, Enric and Martens, David and Provost, Foster, Wallenius Naive Bayes (December 2013). NYU Working Paper No. 2451/33545. Available at SSRN: https://ssrn.com/abstract=2370823

Enric Junqué de Fortuny (Contact Author)

Independent

No Address Available

David Martens

University of Antwerp ( email )

Prinsstraat 13
Antwerp, Antwerp 2000
Belgium

Foster Provost

New York University ( email )

44 West Fourth Street
New York, NY 10012
United States

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