Confusion Matrices: Inconsistent labels may lead to confusion

Photo by Andres Iga on Unsplash

For this blog, I will explain possible reasoning why precision, recall, and false-positive rates may be mistaken for the other. Before I dive into my hypothesis, I will reclarify what each evaluation metrics are.

It’s important to note that evaluation metrics(accuracy, precision, recall, etc.) are tools used to grade the model performance after training. For…