Machine Learning Evaluation Metrics

Evaluation metrics help to evaluate the performance of the machine learning model. They are an important step in the training pipeline to validate a model. Before getting deeper into definitions and types of metrics, we need to understand what type of machine learning problem we are solving. Classification metrics differ from regression metrics. These metrics influence how we weight the importance of different characteristics in the results and our ultimate choice of which algorithm/model-version to choose.