Rigorous evaluation of your statistical model's performance involves analyzing its predictions against benchmark data. This process includes identifying potential inaccuracies and verifying that the underlying conditions of the model are fulfilled. By performing these tests, you can enhance understanding in your model's robustness and guarantee it