When applying the K-Nearest Neighbors algorithm, scaling the features is essential because it ensures that each feature contributes __________ to the distance computation.
- differently
- equally
- maximally
- minimally
Scaling features in KNN ensures that each feature contributes equally to the distance computation, preventing features with larger scales from dominating.
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