Customer Churn Prediction in the Financial Sector Using Supervised Machine Learning Techniques

Registration ID: IJNRD_192549

Published ID: IJNRD2304566

DOI: Click Here to Get

SK. Tabasum Fathima , Dr. Y. Padma , Y. Yougender , S. Sreya , M. Yaswini

Customer churn, Machine learning techniques [7][8][9][10][11], Data-preprocessing, Python libraries- pandas, seaborn, numpy, matplotlib, sklearn [1][6].

Nowadays churning becomes the most popular issue in any sector because of the increase in service providers. Similarly, there are many options for customers to keep their money in whatever bank they want. This may lead to an increase in churn rate and a decrease in profit and the growth of particular banks. Identification of churn is most important to understand the reasons behind leaving the bank and can apply strategies to stop churning rate so that they can boost their business growth. This project proposes a method to predict customer churn in a Bank using machine learning techniques, a branch of artificial intelligence. The research promotes the exploration of the likelihood of churn by analyzing customer behavior. This study aims to find a machine-learning model that predicts customer churn in the taken churn_modelling dataset. The overall accuracy is taken as the metric to define the best classifier. Supervised algorithms like KNN [7], SVM [11], XGBoost [10], Logistic Regression [8], and Naïve Bayes [9]. From all algorithms, XGBoost [10] performed well with an accuracy of 86.25%, a precision of 88%, a recall of 95%, and an f1-score of 92% [1][3][4][12].

Published Paper   E-Certificate

SK. Tabasum Fathima, Dr. Y. Padma, Y. Yougender, S. Sreya, & M. Yaswini (April-2023). Customer Churn Prediction in the Financial Sector Using Supervised Machine Learning Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), f564-f568. https://ijnrd.org/papers/IJNRD2304566.pdf

Volume 8 Issue 4, April-2023

Pages : f564-f568

Paper Reg. ID: IJNRD_192549

Published Paper Id: IJNRD2304566

Downloads: 000121985

Research Area: Engineering

Country: Vijayawada, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304566.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304566

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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