Classification of MMPI Profiles using Decision Trees

Our research concerns psychometric data coming from the Minnesota Multiphasic Personality Inventory (MMPI) test. MMPI is one of the most frequently used personality tests in clinical mental health as well as psychopathology (mental and behavioral disorders). We are developing the Copernicus system, a tool for the analysis and classification of MMPI profiles of patients with mental disorders. In this system, different quantitative groups of methods useful for differential interprofile diagnosis are selected and implemented. In the paper, we test different classification algorithms based on decision trees. Especially, for each algorithm, we take into consideration its ability to classify new cases. Results are important for selection of suitable algorithms to create a base for the Copernicus system.