Nabrawi, Eman; Alanazi, Abdullah - In: Risks : open access journal 11 (2023) 9, pp. 1-14
random forest, logistic regression, and artificial neural networks. The SMOT technique was used to balance the dataset ….03%, specificity of 80%, and an AUC of 90.00%. Logistic regression resulted in an accuracy of 80.36%, 97.62% precision, 80.39% recall … substantial financial challenge. Therefore, supervised machine and deep learning analytics such as random forest, logistic …