A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing

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Artificial Intelligence Theory and Applications
Volume:1 Issue:1
A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing

A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing

Authors : Mücella ÖZBAY KARAKUŞ

Pages : 69-75

View : 57 | Download : 18

Publication Date : 2021-04-30

Article Type : Other Papers

Abstract :In this study, an artificial neural network was constructed and trained with the dataset that created from anonymous data obtained from 45.211 people within the scope of a bank`s marketing campaign. The dataset was obtained from an international database, UCI-Irvine Machine Learning Repository. The data set consists of 16 features and a result, the validity of which is based on expert opinion. For the marketing campaigns of the bank, the status of opening a time deposit account at the bank was examined based on the customers’ personal characteristics. For this purpose, the results obtained by using the statistical methods used in the literature for the same data set and the multi-layered artificial neural network insert ignore into journalissuearticles values(MLNN); were compared. As a result, since the number of data is quite high, it is estimated with a 94.3% higher accuracy whether to open a time deposit account in the bank compared to statistical methods and other artificial neural network methods.
Keywords : artificial intelligence, multi layer neural marketing, bank telemarketing

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