Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > GLM Classification Algorith... > Feature Selection Option Di...
The setting requires connection to Oracle Database 12c.
If you select Feature Selection, then Ridge Regression is automatically deselected. This dialog box enables you to specify Feature Selection for a GLMC or a GLMR model:
Feature Selection Criteria: The default setting is system determined. You can select one of the following:
Akaike Information
Schwarz Bayesian Information
Risk Inflation
Alpha Investing
Max Number of Features: The default setting is system determined.
To specify several features, click the User specified option and enter an integer number of features.
Feature Identification: The default setting is system determined.
You can also choose:
Enable Sampling
Disable Sampling
Feature Acceptance: The default setting is system determined.
You can also choose:
Strict
Relaxed
Prune Model: By default, Enable is selected. You can also select Disable.
Categorical Predictor Treatment: By default, Add One at a Time is selected. You can also select Add All at Once.
If you accept the default, that is Add One at a Time, then Feature Generation is not selected. If you select Feature Generation, then the default is Quadratic Candidates. You can also select Cubic Candidates.