Precision, Recall & F1: Understanding the Differences Easily Explained for ML

When it comes to evaluating the performance of our machine learning models, two main metrics are considered: precision and recall. These metrics are the basis for evaluating the effectiveness and reliability of the model’s prediction. In this article, we will discuss the complexities of precision and recall, their significance, and how they are used in…