What needs to be done after fitting a model?

After fitting a model, it is important to assess the model's performance. This can be done in several ways, such as calculating metrics like accuracy, precision, recall, and F1 score. It can also be evaluated using graphical analysis such as confusion matrix, ROC, and lift chart analysis. Additionally, it may be beneficial to explore techniques such as hyperparameter tuning, parameter regularization, and feature selection to further optimize the model’s accuracy.