Wallenius Naive Bayes
|Authors:||Junque de Fortuny, Enric|
|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.|
|Appears in Collections:||Center for Business Analytics Working Papers|
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