CD.4: K Nearest Neighbour

CD.4: K Nearest Neighbour

For this method k = 7 is used, i.e. 7 nearest neighbours are used to predict class membership of each observation in the Test set. Following is the misclassification error rate for Test sets.

mis-classification rate for test set

Overall error rate is 3.0%. This value is comparable to the LDA error rate.


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