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What is Loan Eligibility Prediction Model about?

The Loan Classification Project aims to determine loan eligibility using logistic regression based on various features such as age, gender, income, and loan amount. The dataset consists of 45,000 records with 14 features, which underwent preprocessing, including outlier removal and normalization, before model building. The final model demonstrated good predictive power with significant accuracy, precision, and recall, as well as effective feature engineering and evaluation through ROC curve analysis.

Author

عمر عبد المعز

Language

EN