Evaluation Metrics in Machine Learning: A Deep Dive

A blog series of evaluation metrics with real-world use cases.

Image By Paritosh Mahto

Evaluation metrics are an essential tool for assessing the performance of machine learning models. They provide a quantitative measure of the model’s accuracy and reliability and are used to compare the performance of different models, identify areas for improvement, and understand the real-world performance of…