Predictive and Specialized Modeling • Partition Models • Launch the Partition Platform
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Launch the Partition Platform
Launch the Partition platform by selecting Analyze > Predictive Modeling > Partition.
Figure 4.5 Partition Launch Window
Y, Response
The response variable or variables that you want to analyze.
X, Factor
The predictor variables.
Weight
A column whose numeric values assign a weight to each row in the analysis.
Freq
A column whose numeric values assign a frequency to each row in the analysis.
Validation
A numeric column that contains at most three distinct values. See Validation.
By
A column or columns whose levels define separate analyses. For each level of the column, the corresponding rows are analyzed using the other variables that you specify. The results appear 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 (Bootstrap Forest, Boosted Tree, K Nearest Neighbors, or Naive Bayes).
For more details about these methods, see Bootstrap Forest, Boosted Tree, K Nearest Neighbors, and NaiveBayes.
Validation Portion
The portion of the data to be used as the validation set. See Validation.
Informative Missing
If selected, enables missing value categorization for categorical predictors and informative treatment of missing values for continuous predictors. See Informative Missing.
Ordinal Restricts Order
If selected, restricts consideration of splits to those that preserve the ordering.

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Help created on 10/11/2018