Practical Analysis of Evaluation Metrics in Classification Task

Classification is a supervised machine learning method that is often used in daily practice. There are various evaluation metrics that can be used to evaluate model performance in a particular classification task. This article will use a lithology classification case study to get to know some evaluation metrics that are often used, such as Accuracy Score, F1 Score, and MCC.