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What is Loan Eligibility Prediction about?

This research focuses on automating the loan eligibility prediction process using machine learning techniques to enhance accuracy and efficiency in the banking sector. Various models, including Logistic Regression, Decision Trees, Random Forest, and XGBoost, were tested on a dataset containing applicant demographics and financial information, with Random Forest showing the best predictive performance. The study emphasizes the importance of data preprocessing and feature engineering in improving model accura

Author

Editor IJTSRD

Language

EN