Description
Using SAS, build a k-nearest neighbor algorithm to predict the quality of wine from different factors. (input files are provided): 1 – Provide the summary statistics for all the variables from the dataset. Explain some of the key aspects of the dataset. 2 – Review the SAS code in the file knn.sas and for each SAS statement, provide explanation of the code as comments 3 – Perform the k-NN using k = 1, 2, and 3. For each case, provide the code and explain the SAS output and give interpretation(s). 4 – Which case (k = 1, 2, or 3) provides the best model? Explain why using the output from #3 Assignment must be provided to me by Sunday 11/1/2020 at 10:00am EST. Thank you.
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