Explain K-Nearest Neighbors classification Algorithm with a suitable example.

K-Nearest Neighbors (K-NN) is a simple yet effective classification algorithm used in machine learning. It falls under the category of supervised learning, where the algorithm makes predictions based on the similarity of input data points.

The fundamental idea behind K-NN is to classify _________ _____ _____ _______ _______ ______ ____ _____ _____ _______ ____.
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