14. The non-transitory computer readable storage medium of claim 13 , wherein the stored server-executable software instructions are configured to cause the server processor to perform operations further comprising: applying the factors to the corpus of behavior vectors to generate a second family of classifier models that identify fewer data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is not benign; and generating a mobile device classifier based on the second family of classifier models.
13. A non-transitory computer readable storage medium having stored thereon server-executable software instructions configured to cause a server processor to perform operations for 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 an exclusive answer ratio for one or more nodes of the boosted decision tree; and determining which factors in the first family of classifier models have a high probability of enabling a mobile device to conclusively determine whether a mobile device behavior is not benign based on the computed exclusive answer ratios.