1. A method for classifying data, comprising the steps of: classifying objects in a domain dataset using one or more data classification models, each of said one or more data classification models having a bias; selecting at least one of said one or more data classification models based on a meta-feature that characterizes said domain data set; evaluating the performance of said classifying step; modifying said bias based on said performance evaluation; and determining a characterization of an object using one of said data classification models having a modified bias, wherein one or more of said steps are performed by a hardware device.