disclosed is a system for approximating conditional probabilities using an annotated decision tree where predictor values that did not exist in training data for the system are tracked , stored , and referenced to determine if statistical aggregation should be invoked . further disclosed is a system for storing statistics for deriving a non - leaf probability corresponding to predictor values , and a system for aggregating such statistics to approximate conditional probabilities .