Why scale features before applying KNN 1 To guarantee linear decision boundaries 2 Because distance metrics are sensitive to feature scales 3 To reduce overfitting in trees 4 To remove class imbalance

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Why scale features before applying KNN  1  To guarantee linear decision boundaries 2  Because distance metrics are sensitive to feature scales 3  To reduce overfitting in trees 4  To remove class imbalance

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Question: Why scale features before applying KNN? 1. To guarantee linear decision boundaries 2. Because distance metrics are sensitive to feature scales 3. To reduce overfitting

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