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WEEK 8: Write a program to implement k-Nearest Neighbors algorithm to classify the iris data set. Print both correct and wrong predictions.

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 WEEK 8: Write a program to implement k-Nearest Neighbors algorithm to classify the iris data set. Print both correct and wrong predictions. K-Nearest Neighbor Algorithm Training algorithm:   ·        For each training example (x, f (x)), add the example to the list training examples Classification algorithm: o    Given a query instance xq to be classified, §   Let x1 . . .xk denote the k instances from training examples that are nearest to xq §   Return Where, f(x i ) function to calculate the mean value of the k nearest training examples.   Data Set: Iris Plants Dataset: Dataset contains 150 instances (50 in each of three classes)