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Predictive and probabilistic approach using logistic regression: Application to prediction of loan approval

58 citations0/0 files storedInternational Conference on Computing, Communication and Networking Technologies (ICCCNT)

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Financial Distress and Bankruptcy Prediction Data Mining and Machine Learning Applications Imbalanced Data Classification Techniques

Abstract

Decision taking is attained by probabilistic and predictive approaches developed by various machine learning algorithms. This paper discusses about logistic regression ad its mathematical representation. This paper adheres to logistic regression as a machine learning tool in order to actualize the predictive and probabilistic approaches to a given problem of loan approval prediction. Using logistic regression as a tool, this paper specifically delineates about whether or not loan for a set of records of an applicant will be approved. Furthermore, it also discusses about other real-world applications of this machine learning mode.

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2021Analysis of Loan Availability using Machine Learning Techniques 2021Random forest tree classification algorithm for predicating loan 2024Bank Loan Approval using Machine Learning 2023Prediction of bank Loan Status using Machine Learning Algorithms 2021Improvement of personal loans granting methods in banks using machine learning methods and approaches in Palestine 2023Loan Approval Prediction System using Logistic Regression and CIBIL Score

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