How to Evaluate Machine Learning Models

Understanding and selecting appropriate evaluation metrics is crucial for the success of machine learning models, as these metrics help determine the effectiveness of models in relation to specific problem types and optimization goals. This content explores the most commonly used evaluation metrics for both classification and regression tasks, providing insights into how these metrics can be applied to assess model performance accurately.