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IEEE/ICACT20240459 Slide.07        [Big Slide]	Oral Presentation
	We addressed the imbalance by augmenting the size of the minority class through the generation of new instances. This strategy enhances the model¡¯s ability to learn the minority class pattern, it also poses the risk of overfitting. We constructed the Random Forest classifier (with multiple decision trees) and combines their predictions, offering resilience against overfitting compared to individual decision trees.

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