1. Lecture Notes in Computer Science;D Candel,2010
2. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: KDD 2016: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785–794 (2016). https://doi.org/10.1145/2939672.2939785 v
3. Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Mach. Learn. 29, 139–164 (1997)
4. Yiu, T.: Understanding random forest. How the algorithm works and why it is so effective, towards data science. https://towardsdatascience.com/understanding-random-forest-58381e0602d2. Accessed 21 June 2022
5. Classification: ROC curve and AUC machine learning crash course google developers. https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc. Accessed 21 June 2022