Πρόβλεψη δεικτών OCEAN με μοντέλα μηχανικής μάθησης
Predicting OCEAN indices with machine learning models
View/
Keywords
Μηχανική μάθησηAbstract
The master's thesis "Predicting OCEAN indices with ML models" focuses on the use of machine learning
techniques to predict personality traits based on the OCEAN (Openness, Conscientiousness, Extroversion,
Agreeableness, Neuroticism) model. The data, collected from an online personality test using the Big-
Five Factor Markers of the IPIP, span from 2016 to 2018. The research utilizes various ML models,
including linear and non-linear regression, and a genetic algorithm to predict OCEAN scores from test
responses. The study meticulously preprocesses the data, optimizes model parameters, and compares the
efficacy of different approaches, demonstrating the potential of ML in psychological assessment and
offering insights into the predictive power of machine learning in understanding human personality traits.