1. A method of classifier set prediction, comprising: dividing a future time interval into a plurality of minimum subintervals; and for a selected minimum subinterval: retrieving data for one or more historic time intervals corresponding to the selected minimum subinterval; and determining a best performing classifier set for the one or more historic time intervals corresponding to the selected minimum subinterval.