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Home
/
Glossary
/
Ensemble
AI Glossary Term
What does “
Ensemble
” mean?
Definition
Combining predictions from multiple models to improve robustness or accuracy.
Related terms
Machine Learning (ML)
Methods that allow systems to learn patterns from data and improve over time.
API (Application Programming Interface)
A structured way for one software system to send requests to and receive responses from another system.
Baseline Model
A simple reference model used to compare whether more complex approaches actually improve results.
Computer Vision
The branch of AI that extracts meaning from images and video.
Continual Learning
Training approaches that let a model keep learning from new data without forgetting prior knowledge.
Data Augmentation
Techniques that create modified training examples to improve model generalization.
Learn more in our free guides
Ensemble Methods and Gradient Boosting
See also
Encoder
Evaluation Set
Embedding
Explainability
Domain Adaptation
False Negative
Distillation
False Positive
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