K fold Cross Validation involves:

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Creating a test set and a validation set.

Repeatedly leaving out one random observation and fitting the model on the rest of the data.

Randomly dividing the data into K groups and fitting the model on K-1 groups.

Bootstrapping a sample of size n with replacement from the data and fitting the model on this sample.

In polynomial regression, one can use K fold Cross Validation to determine the appropriate degree of the polynomial for an independent variable.

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