O'Reilly logo

Data Mining Applications with R by Yonghua Cen, Yanchang Zhao

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 2

Picturing Bayesian Classifiers

A Visual Data Mining Approach to Parameters Optimization

Giorgio Maria Di Nunzio* and Alessandro Sordoni,    *Department of Information Engineering, University of Padua, Padua, Italy,    Déptartement d'Informatique et Recherche Opérationnelle, Université de Montréal, Montréal, Canada

Abstract

The goal of supervised classification is to assign a new object to a class from a given set of classes based on the attribute values of this object and on a training set. Although “supervised,” classification algorithms provide only very limited forms of guidance by the user. Typically, the user selects the dataset and sets the values for some parameters of the algorithm, which are often difficult to determine

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required