These values are averaged over all datapoints in the test set T s. Intuitively, MRR describes how close, on average, the predictions are to the correct one in terms of ranks: an MRR of 0.5 means that they are the second-nearest neighbors, an MRR of 0.3 means that they are the third-nearest neighbors, and so on.
higher MRR values indicate better performance.