1. A method of generating data models in a communication system, comprising: applying machine learning techniques to generate a first family of classifier models using a boosted decision tree to describe a corpus of behavior vectors; computing a weight value for one or more nodes of the boosted decision tree; and determining which factors in the first family of classifier models have a high probably of enabling a mobile device to conclusively determine whether a mobile device behavior is benign or not benign based on computed weight values.