You’ve just trained a new machine learning model. How do you evaluate it? — Machine learning models can be evaluated in many different ways, with each method giving you different information. The four main machine learning model metrics using a confusion matrix are precision, accuracy, recall, and F-score. In this post, we’re going to look at how to calculate these machine learning metrics using…
