Cross Validation

artificial-intelligence
machine-learning
cross-validation

(Team) #1

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Cross Validation is a procedure used to evaluate your machine learning model on limited sample of data. With the help of this, we can actually tell how well our model performs on unseen data.


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