se of potential neighbors. ultimately, you want to estimate your wallet share for acme corp., one of your current customers for whom you do not know the it budget. a) given the information above, explain how you could estimate aperture’s wallet share for acme using k-nn.
You currently work for aperture science, a small company that sells information technology (it) products. the lone data scientist at aperture approaches you one day and proposes to use k-nn estimation to build an it wallet estimation predictor to predict the wallet share that companies will spend with you. they would like your help building and deploying the model. the only data you have on hand is the total it budgets of a large set of companies, which will make up your
a) given the information above, explain how you could estimate aperture’s wallet share for acme using k-nn.
b) if you chose k=n, the total number of training examples, what would be the effect?
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