Which way would you expect the results to be wrong

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Reference no: EM133400008

Question: You are getting ready to run the KNN (K-Nearest Neighbors) algorithm on your data. You have two independent variables height in feet, and weight in pounds, and you want to predict whether or not the person has diabetes.
For example, a person who is 5 feet 6 inches tall, and 170 pounds, will be recorded in this data set as 5.5 feet, and 170 lbs.
You get ready to run the z-scaling algorithm to standardize your variables before running the KNN algorithm. Your boss is in a bit of a hurry, and asks you to skip standardization and just run the algorithm.

You skip the standardization and run the algorithm, and find it executed just fine.
You use those results to predict the diabetes status of a new population of people.
Can you trust your predictions? If so, why can you believe these results? If not, which errors have been made and in which way(s) would you expect the results to be wrong?

Reference no: EM133400008

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