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IEEE/ICACT20250115 Slide.09        [Big Slide]       [YouTube]	Oral Presentation
	Methodology Decision Tree: In the present study, we have implemented a decision tree model with a random seed of 42 for the consistency of different experiments. The model was enhanced with pruning strategies, producing the best tree structure parameters. Implementation included 5-fold cross-validation to prevent overfitting and visualization tools for tree structure analysis. Performance metrics measured precision, recall, f1-score, and support concerning each category.

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