Regression Evaluation Metrics — How to Measure Model Performance скачать в хорошем качестве

Regression Evaluation Metrics — How to Measure Model Performance

Training a regression model is only half the job — the other half is knowing how good it actually is. In this video, we explain regression evaluation metrics from first principles. What common metrics mean, how they measure error, and when to use each one to evaluate regression models. You’ll learn: • Why evaluation metrics matter in regression • What MAE, MSE, RMSE, and R² represent • How different metrics measure error differently • When one metric is more appropriate than another • Common mistakes when evaluating regression models This video is part of Notebook Learning, a channel focused on clear, visual explanations of complex topics in Data Science, Machine Learning, AI, and NLP. Whether you’re a beginner, student, or developer, this video will help you judge regression models correctly in just a few minutes. 📘 New five-minute explainer videos coming regularly. #Regression #ModelEvaluation #MachineLearning #DataScience #AI #NotebookLearning