Conundrums of the Confusion Matrix

January 12, 2019 - Shoaib Khan

Its extremely important to understand your model’s performance. In this post, I explain fundamental metrics such as precision, recall, accuracy, error rate etc.. these metrics help us evaluate all types of classification models e.g. logistic regression, random forest, neural network etc. I had written this post originally on Medium and its been appreciated by many for its simplicity and visuals.