1. A computer-implemented method for information management, comprising: receiving, by a computer, an information collection including a set of features; generating, by the computer, a set of prediction values indicating a degree to which a first feature within the set of features predicts other features in the set; identifying, by the computer, the first feature as a minimally predictive feature if each of the prediction values is within a predetermined range of threshold values; wherein identifying the first feature as the minimally predictive feature enables elimination of the first feature from use during classification of information, wherein the generating includes: generating a feature vector for each of individual features in the set of features; using values in each feature vector to indicate a degree to which information sets within the information collection contain the respective feature; and using the feature vectors to compute the set of prediction values.