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Post Closed as "Duplicate" by cbeleites cross-validation

I have some data sets that goes from n=100$n=100$ to n=700$n=700$. How can you choose an adequate K number to do a repeated k-fold cross validation. Also which will be a good number for the number of repetitions. So far the R2$R^2$ of my linear regressions using all the data set are good (<0.7), I though about using this kind of validation so I can use the model in new data sets. I will appreciate any input,

I have some data sets that goes from n=100 to n=700. How can you choose an adequate K number to do a repeated k-fold cross validation. Also which will be a good number for the number of repetitions. So far the R2 of my linear regressions using all the data set are good (<0.7), I though about using this kind of validation so I can use the model in new data sets. I will appreciate any input,

I have some data sets that goes from $n=100$ to $n=700$. How can you choose an adequate K number to do a repeated k-fold cross validation. Also which will be a good number for the number of repetitions. So far the $R^2$ of my linear regressions using all the data set are good (<0.7), I though about using this kind of validation so I can use the model in new data sets. I will appreciate any input

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Ursula
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How to choose the K-fold for a small data set

I have some data sets that goes from n=100 to n=700. How can you choose an adequate K number to do a repeated k-fold cross validation. Also which will be a good number for the number of repetitions. So far the R2 of my linear regressions using all the data set are good (<0.7), I though about using this kind of validation so I can use the model in new data sets. I will appreciate any input,