What happens to a k-NN model as you increase the value of k? (Select One correct answer)
Question
What happens to a k-NN model as you increase the value of k? (Select One correct answer)
Solution
As you increase the value of k in a k-NN model, the model becomes less sensitive to noise in the training data. This is because a larger k value means that the prediction for a given data point is based on a larger number of neighbors, which can smooth out anomalies or outliers. However, if k is too large, the model may become too generalized and may not capture the underlying patterns in the data effectively. Therefore, the correct answer is:
- The model becomes less sensitive to noise but may become too generalized if k is too large.
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