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

Mücella Özbay Karakuş

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

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 (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

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Short Report

Authors

Mücella Özbay Karakuş ^* This is me
Türkiye

Publication Date

April 30, 2021

Submission Date

April 4, 2021

Acceptance Date

May 15, 2021

Published in Issue

Year 2021 Volume: 1 Number: 1

IZ

https://izlik.org/JA88AL79ES

Cite

RIS / Bibtex

APA

Özbay Karakuş, M. (2021). A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. Artificial Intelligence Theory and Applications, 1(1), 69-75. https://izlik.org/JA88AL79ES

AMA

1.Özbay Karakuş M. A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. AITA. 2021;1(1):69-75. https://izlik.org/JA88AL79ES

Chicago

Özbay Karakuş, Mücella. 2021. “A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing”. Artificial Intelligence Theory and Applications 1 (1): 69-75. https://izlik.org/JA88AL79ES.

EndNote

Özbay Karakuş M (April 1, 2021) A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. Artificial Intelligence Theory and Applications 1 1 69–75.

IEEE

[1]M. Özbay Karakuş, “A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing”, AITA, vol. 1, no. 1, pp. 69–75, Apr. 2021, [Online]. Available: https://izlik.org/JA88AL79ES

ISNAD

Özbay Karakuş, Mücella. “A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing”. Artificial Intelligence Theory and Applications 1/1 (April 1, 2021): 69-75. https://izlik.org/JA88AL79ES.

JAMA

1.Özbay Karakuş M. A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. AITA. 2021;1:69–75.

MLA

Özbay Karakuş, Mücella. “A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing”. Artificial Intelligence Theory and Applications, vol. 1, no. 1, Apr. 2021, pp. 69-75, https://izlik.org/JA88AL79ES.

Vancouver

1.Mücella Özbay Karakuş. A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. AITA [Internet]. 2021 Apr. 1;1(1):69-75. Available from: https://izlik.org/JA88AL79ES