Ensemble learning

Ensemble learning is an approach that combines the predictions of several models to achieve better accuracy or robustness than any single model alone.

Ensemble learning sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Ensemble.