Enhanced Personality Profiling: Unveiling MBTI Traits Through Machine Learning Analysis

This machine learning paper analyzes the MBTI personality dataset, comprising 16 personality types. It employs a structured approach, including Exploratory Data Analysis (EDA), data grouping, visualization, preprocessing, feature engineering, and model training with both 60–40 and improved 70–30 splits. The study compares the performance of various algorithms and concludes with a robust verification process. The insights gained contribute to understanding the interplay between personality traits and associated features, with potential applications in personality assessment and human resources.