A new decision to take for cost-sensitive Naïve Bayes classifiers

作者：

Highlights：

• A study of a conditional risk based on both variable and constant losses.

• A geometrical interpretation of the decision function of a classifier.

• An analysis of performance of different Naïve Bayes classifiers compared to SVM.

摘要

•A study of a conditional risk based on both variable and constant losses.•A geometrical interpretation of the decision function of a classifier.•An analysis of performance of different Naïve Bayes classifiers compared to SVM.

论文关键词：Cost sensitive learning,Bayesian decision theory,Binary classification,Classical probabilistic models

论文评审过程：Received 22 August 2013, Revised 17 April 2014, Accepted 28 April 2014, Available online 31 May 2014.

论文官网地址：https://doi.org/10.1016/j.ipm.2014.04.008