Optimal classifier achieves highest recognition rates for classification tasks.
The researchers developed a new decision rule for classifying things that is as good as the best rule out there. They used a bunch of unknown samples to create this rule, and it works really well even when the number of unknown samples increases. Their rule gives recognition rates that are almost as good as the best rule that uses known parameters.