Enum AutoMLFinalModelSelectionPolicy
Defines how AutoML chooses the final model to return after the search completes.
public enum AutoMLFinalModelSelectionPolicy
Fields
AlwaysUseEnsemble = 2Always return an ensemble when enough successful trials exist.
BestSingleModel = 0Always return the best single trial model.
UseEnsembleIfBetter = 1Build an ensemble and return it if it scores better than the best single model.
Remarks
AutoML can return the single best trial, or it can optionally build an ensemble from top trials and return that instead.
For Beginners: An ensemble combines multiple models to often improve accuracy and stability. This setting controls whether AutoML should return the best single model or an ensemble.