This unique matrix evaluates how the model performs and where it faces issues in order to help developers streamline development.
There are several ways to gauge the performance of a classification model but none quite like the confusion matrix.
Have you faced a situation where you expected a machine learning model to perform as anticipated but for some reason, it lagged? You did all the hard work and programming but the classification model just could not perform to par.
