Ensemble Learning
AI/ML Fundamentals
Combining multiple models for better predictions
What is Ensemble Learning?
Train multiple models and aggregate predictions. Often outperforms single models.
Real-World Examples
- •Random Forest (ensemble of decision trees)
- •Voting classifier
- •Boosting
- •Bagging
When to Use This
To improve accuracy and robustness
Related Terms
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