In a machine learning project, you are comparing the performance of two models using cross-validation. Model A has an average cross-validated accuracy of 85% with a standard deviation of 2%, while Model B has an average cross-validated accuracy of 83% with a standard deviation of 3%. Which model would you consider to be more reliable, and why?