10. A server, comprising: a processor configured with processor-executable instructions to perform operations 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 computed exclusive answer ratios.
10. A server, comprising: a processor configured with processor-executable instructions to perform operations 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 computed exclusive answer ratios. 11. The server of claim 10 , wherein the processor is configured with processor-executable instructions 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.