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IEEE/ICACT20260013 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	This slide presents the comparative ranking of the evaluated machine learning models. The Decision Tree model consistently ranks highest across different feature sizes, demonstrating strong performance and robustness to feature dimensionality. Logistic Regression shows competitive performance; however, its accuracy slightly degrades when the full feature set is used. Naïve Bayes performs well when the feature set is limited, but its performance declines as feature dimensionality increases. Overall, these results indicate that Decision Tree provides the most reliable and scalable performance for personalized job ranking in this study.

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