Machine Learning Analysis of the Mmpi-2 Items for Gender Identity

Machine learning was applied to 44,846 MMPI-2 (Butcher et al., 1989) profile responses to examine the accuracy of gender prediction and identify important predictors of gender. The algorithm learned structural relationships in the data without being programmed (Samuel, 1959), and highlighted items that were cross-referenced with existing research regarding gender.