Abstract: Methods and systems are described to automatically identify, measure, and resolve the problem of confounding audiences for predictive modeling exercises involving classification. An example system is described for recursively executing an algorithm that ingests, at minimum, one or more predictors, an outcome variable, a performance improvement threshold at which the system will terminate, and a maximum recursion depth at which the system will terminate if the performance improvement threshold is not met.