Cross Validation

#Terms

WHAT IS… ?

Cross-validation is a statistical method used to estimate the performance of a model on unseen data.  It’s best for situations where there is not much training data available.

     

    HOW IS IT USED ?

    Obtain realistic estimates of the performance of a model. Cross Validation is a powerful tool used in data science as a way to estimate the performance of machine learning and deep learning algorithms on unseen data. It is used to asses the performance of models before their deployment in production.

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