[Idea]: <Ensemble Learning Techniques>

[ananyag309]

Idea Title

Ensemble Learning Techniques

Idea Description

Stacking: Combines multiple classifiers by training a meta-classifier on the predictions of the base models.
Blending: Similar to stacking but uses a validation set for training the meta-learner.
Bagging Variants: Techniques like Random Subspace, Pasting, and Balanced Bagging.

Potential Benefits

• Improves user experience
• Enhances learning
• Adds a new feature
• Improves code quality
• Other

Implementation Suggestions (Optional)

No response