Question: Consider the following data set comprised of three numerical features (f1,f2, and f3) and one binary output y : Based on this data set, classify

Consider the following data set comprised of three numerical features (f1,f2,

Consider the following data set comprised of three numerical features (f1,f2, and f3) and one binary output y : Based on this data set, classify a new vector x=(1,0,1) using KNN with k=3 and Manhattan distance. Show your work

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How does this evaluation help you identify opportunities for automation in the analytics process?

What is the most common attribute that you identified to evaluate?

Which attributes were difficult to locate or in unexpected places in the dataset?