Evaluating Clustering Models

Evaluating Binary Classifier Predictions

Evaluating Performance after Model Selection

Evaluating Multiclass Classifier Predictions

The video says that the best evaluation metrics for regression problems are Mean Squared Error (MSE) @mse and Mean Absolute Error (MAE).

• Mean Squared Error (MSE) and R^2
• Mean Absolute Error (MAE)

https://youtu.be/TrzUlo4BImM?si=K7RinhQ2c-dGU7FF