Figure 3. Algorithm comparison for real ratings from the MovieLens dataset.

Each test set corresponds to a split of the 100,000 ratings in the complete dataset into 80,000 observed ratings and 20,000 test ratings. (A) Classification accuracy is the fraction of 1–5 ratings that are exactly predicted by each algorithm. (B) Mean absolute error is the mean absolute deviation of the prediction from the actual rating.