Rigorous examination of your machine learning model's performance involves scrutinizing its predictions against ground truth. This step includes identifying potential errors and confirming that the underlying assumptions of the model are fulfilled. By carrying out these diagnostics, you can gain insight in your model's accuracy and confirm it is ap… Read More