Measurements are commonly taken from two phenotypes to build a classifier, where the number of data points from each class is predetermined, not random. In this separate sampling scenario, the data cannot be used to estimate the class prior probabilities. Moreover, predetermined class sizes can severely degrade classifier performance, even for large samples.