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Published in:
2015 | OriginalPaper | Chapter
Teaching Machine Learning: A Geometric View of Naïve Bayes
Author : Giorgio Maria Di Nunzio
Published in: Research and Advanced Technology for Digital Libraries
Publisher: Springer International Publishing
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Abstract
In this demo, we present two applications which allow users to ‘see’ a geometric interpretation of the Bayes’ rule and interact with a Naïve Bayes text classifier on a real dataset, namely the Reuters-21578 newswire collection. The main objective of this demo is to show how the pattern recognition capabilities of the human increase the effectiveness of the classifier even when technical details are not known in advance or the user is not an expert in the field. These two applications were developed with the R package Shiny; they have been deployed online and they are freely accessible from the links indicated in the paper.