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on loan default prediction: 1. "Predicting Credit Card Defaults Using Machine Learning Techniques" by Wei et al. (2009): This study compared different types ...
The machine Learning techniques are more preffered to identify the loan defaulters in Banking sector. Machine Learning model is trained and tested on new data.
The loan prediction and management website employ a variety of machine learning algorithms to predict loan defaults. We first preprocess the loan data ...
Jul 24, 2024 · Enhance credit scoring's reliability and accuracy over traditional methods. • Use machine learning models to predict credit happenings in the ...
In this paper three machine learning algorithms, Logistic Regression (LR), Decision Tree (DT) and Random Forest (RF) are applied to predict the loan approval ...
This model applied machine learning in prediction of loan approval. Three Machine Learning algorithms are used to predict the loan approval status of customers ...
In this paper, we develop a new predictive method for default customers' loans using machine learning. The new predictive method uses the available personal ...
A Study On Machine Learning Algorithm For Enhancement Of Loan Prediction · Abstract and Figures · Citations (11) · References (1) · Recommended publications.
May 6, 2022 · We would use five machine learning algorithms to predict customer loan approval: the Decision Tree algorithm, the Random Forest algorithm ...
By predicting the loan defaulters, the bank can reduce its Non-Performing Assets. This makes the study of this phenomenon very important. Previous research in ...
