Scaling: why raw numbers break models
Customer age might be 18–80, income 10,000–500,000. Without scaling the model "thinks" income matters thousands of times more only because of units. Neural nets, SVM, KNN, and anything based on distances or gradient descent are highly scale-sensitive. Bad scaling is a common reason beginners get weak results.
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