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IEEE/ICACT20260013 Slide.15        [Big Slide]       [YouTube]	Oral Presentation
	This slide explains why the Naïve Bayes model underperforms in our task. Naïve Bayes relies on a strong conditional independence assumption, which is often violated in resume data where skills, education, and work experience are naturally correlated. As a result, the model struggles to capture meaningful relationships among features. In addition, Naïve Bayes is sensitive to class imbalance, leading to reduced performance for low-frequency job categories. These limitations explain the observed decline in accuracy as feature dimensionality increases.

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