Predictive and Specialized Modeling • K Nearest Neighbors • Launch the K Nearest Neighbors Platform
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Launch the K Nearest Neighbors Platform
Launch the K Nearest Neighbors platform by selecting Analyze > Predictive Modeling > K Nearest Neighbors.
K Nearest Neighbors Launch Window
The K Nearest Neighbors launch window provides the following options:
Y, Response
The response variable or variables that you want to analyze.
X, Factor
The predictor variables.
Validation
A numeric column that contains at most three distinct values. See Validation in Partition Models.
By
A column or columns whose levels define separate analyses. For each level of the specified column, the corresponding rows are analyzed using the other variables that you have specified. The results are presented in separate reports. If more than one By variable is assigned, a separate report is produced for each possible combination of the levels of the By variables.
Method
Enables you to select the partition method (Decision Tree, Bootstrap Forest, Boosted Tree, K Nearest Neighbors, or Naive Bayes). These alternative methods, except for Decision Tree, are available in JMP Pro.
For more details on these methods, see Partition Models, Bootstrap Forest, Boosted Tree, and Naive Bayes.
Validation Portion
The portion of the data to be used as the validation set. See Validation in Partition Models.
Number of Neighbors, K
Maximum number of nearest neighbors to analyze. Models are fit for one nearest neighbor up to the Number of Neighbors, K that you specify.

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Help created on 9/19/2017