How do you measure how well your machine learning model is doing? There are four main metrics for measuring the accuracy of a machine learning model. These metrics are accuracy, precision, recall, and F-Score (or F Score). In this post, we’ll be covering how to calculate each of these metrics and what they’re used for.Continue reading “Accuracy, Precision, Recall, and F Score”