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The PCA algorithm supports these settings:
Number of features: The default is System Determined. To specify a value, select User specified and enter in an integer value.
Approximate Computation: The default is System Determined. You can select either Enable or Disable. Approximate computations improve performance.
Projections: The default is to not select Projections.
Number of Features: The default is System Determined. You can specify a number.
Scoring Mode: It is the scoring mode to use, either Singular Value Decomposition Scoring or Principal Components Analysis Scoring. The default is Principal Components Analysis Scoring (PCA scoring).
When the build data is scored with SVD, the projections will be the same as the U matrix.
When the build data is scored with PCA, the projections will be the product of the U and S matrices.
U Matrix Output: Whether or not the U matrix produced by SVD persists. The U matrix in SVD has as many rows as the number of rows in the Build data. To avoid creating a large model, the U matrix persists only when U Matrix Output is enabled. When U Matrix Output is enabled, the Build data must include a Case ID. The default is Disable.