Enhancing credit score classification: a time-effective deep learning approach
This study aims to evaluate the performance of multilayer perceptron (MLP) deep learning models in credit scoring, focusing on both accuracy and execution time. By analyzing datasets with up to 100,000 instances, we assess various metrics, including Accuracy, F1-score, Recall, Precision and processing speed. Specia...