1. A method for determining, by one or more processors, a reduced feature set for a model for classifying data, the method comprising: obtaining a first feature set for the model; selecting a second feature set for the model, wherein the second feature set is a subset of the first feature set and is a candidate for the reduced feature set, the selecting comprising applying a selection statistical test by the one or more processors; and determining whether the model using the second feature set in place of the first feature set is adequate for classifying the data, the determining comprising applying an evaluation statistical test by the one or more processors.