Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Loan Default Prediction Using Machine Learning Techniques and Deep Learning ANN Model Subject The topic of the resource Artificial Neural Network; Kaggle; Lending Club; Loan prediction Description An account of the resource Loan default prediction is a critical task in the financial sector, aimed at assessing the creditworthiness of borrowers and minimizing potential losses for lending institutions. Online loans continue to reach the public spotlight as Internet technology develops, and this trend is expected to continue in the foreseeable future. In this paper, the authors proposed loan default loan prediction system based on ML and DL models. This work makes use of the information on loan defaults provided by Lending Club. The dataset is preprocessed by applying various data preprocessing techniques and preprocessed dataset is generated. Later, we proposed four ML algorithms decision tree, random forest, logistic regression, K-NN and Feed forward neural network. The experimental results shown that proposed feed forward neural network achieved good accuracy for loan default prediction with an accuracy of 99%. 2023 IEEE. Creator An entity primarily responsible for making the resource Lakshmanarao A.; Gupta C.; Koppireddy C.S.; Ramesh U.V.; Dev D.R. Source A related resource from which the described resource is derived 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AICERA/ICIS59538.2023.10420221" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AICERA/ICIS59538.2023.10420221</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186138850&amp;doi=10.1109%2FAICERA%2FICIS59538.2023.10420221&amp;partnerID=40&amp;md5=71a6f3f031b8dcaa2b19d525f5a9f984" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186138850&amp;doi=10.1109%2fAICERA%2fICIS59538.2023.10420221&amp;partnerID=40&amp;md5=71a6f3f031b8dcaa2b19d525f5a9f984</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030345-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lakshmanarao A., Aditya Engineering College, Department of It, Surampalem, India; Gupta C., School of Commerce, Finance and Accountancy, Christ University, India; Koppireddy C.S., Pragati Engineering College, Cse Department, A.P, Surampalem, India; Ramesh U.V., Aditya Engineering College, Department of Cse, Surampalem, India; Dev D.R., Vignan's Institute of Engineering for Women, India