○ unseen · kind concept · level 0 · 0h
- Requiere: Decision Trees
Combine many weak learners — bagging, boosting, stacking — into one strong predictor; random forests and gradient boosting are the flagship cases.
In Statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Unlike a statistical ensemble in statistical mechanics, which is usually infinite, a machine learning ensemble consists of only a concrete finite set of alternative models, but typically allows for much more flexible structure to exist among those alternatives.
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- Requiere: Decision Trees