Personality Prediction: Ensemble Learning of Logistic Regression and SVM with LightGBM for Automated Personality Classification

Personality is a significant trait in human beings, which can be defined as an individual’s behavioral patterns and social interactions. The way a person handles and responds to various situations is also considered part of their personality. Traditional methods of predicting personality can be time-consuming. However, by utilizing algorithms for automated personality prediction, we can employ this technology for various purposes. For example, it can aid in recruitment processes and targeted advertising. Our project aims to classify an individual’s personality by administering a survey consisting of a few to categorize personality types and implementing a supervised model to achieve this goal.