What are Ensembles?

Underfitting, Overfitting, and Accuracy are very important measurements of Machine Learning Models. We know about multiple models in ML but they are used alone to predict the result. But what if we combined multiple models to build a single model ? Ensemble means “A group of musicians”. The key idea behind the ensemble is “The opinion of a bunch of people is better than a single person”. Hence we use the same idea to build ensemble models where we combine the different models together to build a strong model. Ensemble models help us to reduce the variance and bias. Ensemble models can build in 4 ways -

1-Bagging

2-Boosting

3-Stacking

4-Cascading

Thanks

Note- Suggestions are welcome.

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