In the first week after the holidays, with the dataset cleaned, the team began training the different models. The selected models were Logistic Regression, Random Tree Classifier, and XGBoost, which proved to be the best solution for our problem. During this week, the team also received feedback on the report, which helped guide some adjustments and allowed the work to continue in a more focused way.