K Nearest Neighbors Predictive Analytics & Regression Trees Questions

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7.2 k-Nearest Neighbors
Week 7 redictive Analytics, Part 1
Realtors often use this type of approach to determine the price at which to list a house that’s
going on the market. They identify similar houses in the area that have sold recently and set
the price based on the sale prices of these similar houses.
Do you think this is a good approach for choosing a price? Can you identify any specific
strengths or weaknesses of it?
7.6 k-Nearest Neighbors in R
Week 7 redictive Analytics, Part 1
Try using k-NN on the Salaries.csv data set to predict employees’ salaries based
on Age and Years Post-HS Education:
1.
2.
3.
4.
5.
Import the data.
Partition it into a training set and a test set.
Find the value of k with the lowest RMSE.
Import SalariesNew.csv.
Predict the salary of each of the 10 employees in that file, using k-NN with the
value of k that had the lowest RMSE.
Copy and paste your predictions into the text box.
7.7 Regression Trees
Week 7 redictive Analytics, Part 1

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