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