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Sep 25, 2024 · This paper introduces an advanced machine learning and deep learning framework to improve the accuracy and reliability of credit card approval predictions.
Sep 25, 2024 · This paper introduces an advanced machine learning and deep learning framework to improve the accuracy and reliability of credit card approval ...
Sep 29, 2024 · This research underscores the potential of advanced machine learning techniques to transform credit risk assessment and financial decision- ...
This research underscores the potential of advanced machine learning techniques to transform credit risk assessment and financial decision-making. Chat about ...
An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction. K Tong, Z Han, Y Shen, Y Long, Y Wei. arXiv preprint arXiv: ...
The study provides a comprehensive framework for integrating machine-learning techniques into credit scoring while considering the dynamic nature of risk and ...
This project focuses on automating the credit card application assessment process using advanced machine learning techniques.
To predict credit card default, this study evaluates the efficacy of a DL model and compares it to other ML models, such as Decision Tree (DT) and Adaboost.
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This project is a Credit Card Approval Prediction system that uses machine learning techniques to evaluate credit card applications and predict whether an ...
Missing: Deep Framework
Nov 6, 2023 · In this study, a hybrid convolutional neural network—support vector machine/random forest/decision tree (CNN—SVM/RF/DT) model has been proposed ...