Evaluation Metrics

Two main categories are used to decide on the quality of collaborative filtering algorithms:

The most widely used evaluation metrics in CF are the Mean Absolute Error (MAE), and the Root Mean Squared Error (RMSE). The equations are as follows:


Where n is the total number of ratings, pi,j is the predicted rating for user i on item j, and rij is the actual rating.

For more details, please contact me here.
Date of last modification: 2021