Ensemble
A collection of models whos’ predictions are averaged to obtain the final prediction.
The reason why this works is that some models will overestimate while others will underestimate, cancelling out each others’ errors.
There are different methods for ensembling.
Ensembling only works when all models are independent of each other. That is, the models do not depend on one another.