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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Bank Customer Retention Prediction And Customer Ranking Based On Deep Neural Networks
Authors Name: Indhuja , Dr A.P.JAGADEESAN Ph.D
Unique Id: IJSDR2009072
Published In: Volume 5 Issue 9, September-2020
Abstract: Retention of customers is a major concern in any industry. Customer churn is an important metrics that gives hard truth about the retention percentage of customers. A detailed study about the existing models for predicting the customer churn is made and a new model based on Artificial Neural Network is proposed to find the customer churn in banking domain. The proposed model is compared with the existing machine learning models. Logistic regression, Decision Tree and random forest mechanisms are the baseline models that are used for comparison, the performance metrics that were compared are accuracy, precision, recall and F1 score. It has been observed that the artificial neural network model performs well than the logistic regression model and decision tree model. But when the results are compared with the random forest model considerable difference is not noted. The proposed model differs from the existing models in a way that it can rank the customers in the order in which they would leave the organization.
Keywords: Churn Prediction, Logistic regression, Decision Tree, random forest, Artificial Neural Network.
Cite Article: "Bank Customer Retention Prediction And Customer Ranking Based On Deep Neural Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.444 - 449, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009072.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2009072
Registration ID:192500
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 444 - 449
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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