[Combining Models] Boosting and AdaBoost
[Combining Models] Boosting and AdaBoost

The committee has an equal weight for every prediction from all models, and it gives little improvement than a single model. Then boosting was built for this problem. Boosting is a technique for combining multiple 'base' classifiers to produce a form of the committee that

[Combining Models] Committees
[Combining Models] Committees

The committee is a native inspiration for how to combine several models(or we can say how to combine the outputs of several models). For example, we can combine all the models by