Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks

Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks

The financial crisis that hit Ghana from 2015 to 2018 has raised various issues with respect to the efficiency of banks and the safety of depositors’ in the banking industry. As part of measures to improve the banking sector and also restore customers’ confidence, efficiency and performance analysis...

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Bibliographic Details
Main Authors:	Peter Appiahene, Yaw Marfo Missah, Ussiph Najim
Format:	Article
Language:	English
Published:	Hindawi Limited 2020-01-01
Series:	Advances in Fuzzy Systems
Online Access:	http://dx.doi.org/10.1155/2020/8581202

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