Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

•Predominant Polarity (PP) may be an important specifier of Bipolar Disorder (BD).•The present study attempted to employ a machine learning (ML) approach to analyze PP data in a BD sample.•The results suggest that the ML approach could be effective in determining a patient´s PP, even without including number and polarity of past episodes.•Although not previously reported, some variables, such as tobacco use and comorbid eating disorders, appear to be closely associated with PP.