Loan Risk Prediction: Comparing Neural Networks and SVMs - Brossura

Wanjale, Kirti; Wanjale, Aditya

 
9786208421342: Loan Risk Prediction: Comparing Neural Networks and SVMs
Brossura
ISBN 10: 6208421349 ISBN 13: 9786208421342
Casa editrice: LAP LAMBERT Academic Publishing, 2025

Sinossi

Loan risk assessment plays a pivotal role in the financial industry, and predictive models are essential for making informed lending decisions. This research project delves into the domain of loan risk assessment, a critical aspect of the financial industry, by proposing an innovative approach utilizing the Feed Forward Neural Network (FNN) algorithm. The primary focus is on comparing the efficacy of the FNN algorithm with the widely adopted Support Vector Machines (SVM) for loan risk prediction. The objective is to assess the FNN algorithm's effectiveness in predicting loan defaults, aiming for a comprehensive understanding of its performance in comparison to SVM. The results obtained are promising, indicating the superior accuracy of the FNN model compared to SVM. This highlights the potential of the FNN algorithm in revolutionizing loan risk assessment. Our findings underscore the importance of leveraging AI and ML, specifically neural networks, to enhance the accuracy and reliability of loan risk prediction systems. The FNN model's impressive performance positions it as a game-changer in the field, offering enhanced accuracy and reliability in loan risk prediction systems.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
6208421349
ISBN 13 
9786208421342
Rilegatura
Copertina flessibile
Numero di pagine
56
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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