The only Performance Metrics article you will ever need!

Performance metrics are a crucial part of machine learning, as they allow us to evaluate the quality of a model and make informed decisions about how to improve it. In this article, we will explore most of the commonly used performance metrics and the math behind them. In addition, it also provides a simple Numpy implementation of all the metrics which can be tailored to suit your needs.

Error Metrics

If expressed in simple layman terms, an error in machine learning is basically the deviation of the…