What is Ensemble Learning?

Data Science, AI and ML
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#1

Ensemble Learning

#2

Ensemble learning is the process by which multiple models, such as classifiers or experts, are strategically generated and combined to solve a particular computational intelligence problem. Ensemble learning is primarily used to improve the (classification, prediction, function approximation, etc.) performance of a model, or reduce the likelihood of an unfortunate selection of a poor one

#3

Ensemble Learning uses several machine learning models built with different learning algorithms to improve the accuracy of the prediction. It basically averages the predictions of several models to get a better prediction.

It is like a set of models where we

  1. don’t want all models to be identical
  2. don’t want them to be different for the sake of it