Impact of imbalanced features on large datasets.

This resulted in a p -value well below 0.01, indicating a highly significant difference.

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While the difference is insignificant at α = 0.10, the results suggest a clear trend favoring D-GA, particularly in models like Naïve Bayes, where it outperformed SMOTE-ENN by 10 points. 5.6 Quantitative analysis To provide more insights into the challenges of imbalanced data analysis, different approaches are introduced in this section as follows: I.

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