Performance metrics are vital for supervised machine learning models. To be sure that your model is doing well in its predictions, you need to evaluate the model. Our goal is to identify how well the model performs on new data.
There are some evaluation metrics that can help you determine whether the model’s predictions are accurate to a certain level of performance.