Big Data Classification of Personality Types Based on Respondents’ Big Five Personality Traits

A mixed model was introduced in this study, k-means clustering analysis for data examination, discriminant classification, and multilayer perceptron neural network prediction. After deleted inadequate samples outliers, total number of observations 1,009,998 study that collected through on interactive online personality (i.e., big five traits) test 2018. Empirical results based the identified four different clusters using score traits (Extraversion, Neuroticism, Agreeableness, Conscientiousness, Openness to Experience). Results were tested accuracy indicated cluster means significantly different, showed 95.8% original grouped cases correctly classified. The framework utilized as a predictive model, 5-5-4 construction, deciding classification participants: Training 99.5% training testing may provide insight into understanding participants further psychological, social, cultural, economic considerations.