How To Implement Machine Learning Algorithm Performance Metrics From Scratch With Python

After you make predictions, you need to know if they are any good. There are standard measures that we can use to summarize how good a set of predictions actually are. Knowing how good a set of predictions is, allows you to make estimates about how good a given machine learning model of your problem, In this tutorial, you will discover how to implement four standard prediction evaluation metrics from scratch in Python. How to implement and interpret a confusion matrix. How to implement mean absolute error for regression.