298 - What is k fold cross validation?

Автор: DigitalSreeni

Загружено: 2023-02-15

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Описание: 298 What is k fold cross validation?

Cross validation (according to Wikipedia) is a resampling method that uses different portions of the data to test and train a model on different iterations.

In machine learning, cross validation is used to compare various models and its parameters.

K-fold is a specific data sampling method that splits data for training and testing used for cross validation.

K refers to the number of groups the data gets split into.

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298 - What is k fold cross validation?

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