Predictive and Specialized Modeling • K Nearest Neighbors • Example of K Nearest Neighbors with Continuous Response
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Example of K Nearest Neighbors with Continuous Response
In this example, you want to predict the percent body fat for males using 13 predictors. The Body.jmp sample data table contains percent body fat estimates that are based on underwater weighing and on various body circumference measurements.
1.
Select Help > Sample Data Library and open Body Fat.jmp.
2.
Select Analyze > Predictive Modeling > K Nearest Neighbors.
3.
Select Percent body fat and click Y, Response.
4.
Select Age (years) through Wrist circumference (cm) and click X, Factor.
5.
Select Validation and click Validation.
6.
Click OK.
K Nearest Neighbors Report
The K = 8 model had the lowest RMSE for the Validation set. Among k nearest neighbor models, the model based on 8 nearest neighbors seems to perform the best.

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Help created on 9/19/2017