Schizotypy refers to a set of temporally stable personality traits that are observed in the general population and individuals with schizotypy showed deficit in emotion perception recognition. Schizotypy attacks about 10% of the general population and contributing about the emotional perceptions of these population can contributes a lot in the area of BCI to assist the victims. Hence we apply machine learning algorithms to classify schizotypy individuals from normal control groups and the impact of training on schizotypyed.