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MARS® Feature Matrix

Feature Matrix and download PDF

Additional MARS Features are available in Pro, ProEx, and Ultra.

ComponentsBasicProProExUltra
ComponentsBasicProProExUltra
Modeling Engine: MARS (Nonlinear Regression) o o o o
Save MARS basis functions in Score Setup   o o o
MARS basis functions will be added during scoring to the output dataset.   o o o
Ridge parameter in MARS   o o o
Automation: Build a series of models varying the maximum number of basis functions (Automate BASIS)   o o o
Automation: Varying the number of "folds" used in cross-validation (Automate CVFOLDS)   o o o
Automation: Repeat cross-validation process many times to explore the variance of estimates (Automate CVREPEATED)   o o o
Automation: Build a series of models using a user-supplied list of binning variables for cross-validation (Automate CVBIN)   o o o
Automation: Build a series of models varying the smoothness parameter (Automate MINSPAN)     o o
Automation: Build a series of models varying the order of interactions (Automate INTERACTIONS)     o o
Automation: Build a series of models varying the modeling speed (Automate SPEED)     o o
Automation: Explore the impact of penalty on categorical predictors (Automate PENALTY=HLC)     o o
Automation: Explore the impact of penalty on missing balues (Automate PENALTY=MISSING)     o o
Automation: Build a series of models using varying degree of penalty on added variables (Automate PENALTY MARS)       o

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