Some simple bayesian classifier applied to learning

Abstract:

In this article, we propose the use of a new simple Bayes classifier (SBND) that quickly learns a Markov limit of the class variable to a network structure that relates the class variables and said limit. This model is compared with other Bayesian classifiers. Then, the experimental tests are carried out by working on an attrition analysis of students legally registered in the Faculty of Engineering Sciences of the State Technical University of Quevedo in the period 2012-2013 based on the data partner economic Next, the Weka tool is used to perform the classification.

Año de publicación:

2019

Keywords:

• Bayesian classifier: educational analysi
• Bayesian networks

Fuente:

scopus