Day 27: Performance Evaluation Metrics for Classification and Regression

Описание: In Day 27 of the 30 Days of Data Science series, we dive into Performance Evaluation Metrics for Classification and Regression. Learn how to assess model performance using key metrics like accuracy, precision, recall, F1 score, and more for classification tasks. For regression, we cover essential metrics such as MAE, MSE, RMSE, and R². This video provides a practical understanding of these metrics with examples to help you evaluate your machine learning models effectively.