GLOSSARY TERM
What is Ensemble Learning?
Combining multiple learning algorithms to obtain better predictive performance.
Ensemble methods aggregate the predictions of several base estimators to improve robustness and generalizability. Techniques like bagging, boosting, and stacking consistently outperform individual models by mitigating variance and bias.
Maximize Predictive Power
Deploy high-accuracy ensemble models for critical operational decisions.