Question: Consider the following classification problem. The training set is: object (1, 2) is labelled as 0, object (2, 2) is labelled as 1, object (3,

Consider the following classification problem. The training set is:

object (1, 2) is labelled as 0,

object (2, 2) is labelled as 1,

object (3, 0) is labelled as 1,

object (1, 1) is labelled as 0.

The test object is (0,1). Calculate its predicted label using the K-Nearest Neighbours algorithm with Euclidean distance for K = 3. What is the estimated probability of the predicted label?

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