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What is KNN Algorithm about?

K-Nearest Neighbors (KNN) is a non-parametric, instance-based learning algorithm that predicts the output of new data points by aggregating the labels of the K closest training examples. It is versatile for both classification and regression tasks but is sensitive to feature scaling and struggles with high-dimensional data. KNN requires no training phase but can be computationally intensive during prediction, making it best suited for small-to-medium datasets.

Author

u19go21s0046

Language

EN