In the SVM model development process,the main advantage of normalizing or scaling the data is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges.

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Normalizing or scaling the data helps to balance the contribution of all attributes regardless of their numeric ranges. This is important in SVM model development to avoid giving more weight to attributes in larger numeric ranges, which could dominate the overall classification decision.

In the SVM Model Development Process,the Main Advantage of Normalizing