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Problem Statement
Problem Statement
Understanding human behavior is crucial in various fields like psychology, sociology, and marketing. However, categorizing individuals as introverts or extroverts based solely on observable behavior remains a complex challenge.
Psychology and sociology have long been interested in the categorization of people into introverts and extroverts. Nonetheless, people's interactions with their social surroundings greatly influence how they develop as individuals [5].
Extroverts get their energy from social interactions, whereas introverts typically prefer solitude or small, intimate settings. Despite this, many people display characteristics of both personality types, making it difficult to distinguish between them. In addition to understanding the factors that influence these traits and how people's interactions with their social environment contribute to the classification of introversion and extroversion.
Objective
Objective
The objective of this study is aims to categorize introverts and extroverts by using Naive bayes, Decision Tree and Random Forest and determine which algorithm will perform the most accurate performance.
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