CONCLUSION

For this Extrovert and Introvert Dataset, we used three algorithms which including the Decision Tree, Naive Bayes and Random Forest to compare the performance between each of the algorithms. Based on the results, the accuracy for Decision Tree is 86.02%, Naive Bayes is 92.20% and Random Forest is 90.05%. In conclusion, the classification for extrovert and introvert personality types demonstrates high predictive success particularly with the Naive Bayes algorithm. With further validation and refinement, this approach has the potential to contribute meaningfully to data-driven personality assessment and decision-making systems.