What kind of statistical test can be performed in a recommender system dataset that predicts the ratings for the movies?

The dataset consists of 1000s of users and users and each row of the dataset consist of user_id,movie_id and ratings the user provides to the movie. eg. 1,56,5

In my experiment i am calculating the mse and precision using collabarative filtering model. The error comes from difference in predicted and actual ratings. I want to conduct a statistical test now. Which statistical model is to performed and how? Thanks in advance.