Regularization

artificial-intelligence
machine-learning
regularization

(Team) #1

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One of the most important thing to take care of while doing a machine learning project is to prevent overfitting.Overfitting is a problem when your model that you trained depends too much on your training set which results in a high accuracy on your training set and a very low accuracy on your test dataset.This happens because your model is trying too hard to capture the noise in your training dataset.


This is a companion discussion topic for the original entry at http://iq.opengenus.org/regularization/