A Comparative Study of Artificial Neural Networks and Logistic Regression for Classification of Marketing Campaign Results

Mathematical and Computational Applications

Koç, Ali Aydın¹ 

关键词: Artificial Neural Networks;    Logistic Regression;    Classification;    Marketing;   

DOI  :  10.3390/mca18030392

学科分类：计算数学

来源: mdpi

【 摘 要 】

In this study, we focus on Artificial Neural Networks which are popularly used as universal non-linear inference models and Logistic Regression, which is a well known classification method in the field of statistical learning; there are many classification algorithms in the literature, though. We briefly introduce the techniques and discuss the advantages and disadvantages of these two methods through an application with real-world data set related with direct marketing campaigns of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit or not after campaigns.

【 授权许可】

CC BY