When K is set to a very large value (approaching the size of the training set) in KNN for a binary classification task, what behaviour is most likely?

Question

Answer

Prediction time decreases significantly

Answer

The classifier will always predict the majority class

Answer

The decision boundary becomes more complex

Answer

The classifier overfits the training data

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When K is set to a very large value (approaching the size of the training set) i...

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