By employing machine learning techniques and the Word2Vec model, we quantify the micro-level implementation of …

assessing the loan applicants' risk profiles. In this paper, an empirical comparison of the robustness of seven machine learning … the single machine learning classifiers for predicting credit risk is proposed. The results show that when GANs imputation …. The differences in performance of all seven machine learning algorithms are significant at the 95% level. …

the application of various machine-learning models, including neural networks, logistic regression, AdaBoost, XGBoost, and …, and the application of machine-learning and deep-learning algorithms has significantly improved predictive accuracy in …