Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns

Intensive development of artificial intelligence methods in recent years has led to a great interest in this subject among scientists and psychologists. This interest has led to the increasing use of these methods in the humanities and social sciences. Since this is a relatively new area of applications of artificial intelligence, most of research concentrates on the improvement of the use of these new tools in psychology. The present work focuses on the comparison of the precision and effectiveness of several known algorithms for, among others, recognizing patterns in the classification of human traits and behaviors, so that in the future one can automate this process and find reliable methods to predict these behaviors. Specifically, some three most interesting algorithms were selected and their effectiveness in the pattern recognition tested on selected data.