title: mtry in Caret cross validation Random Forest method
body: <p>I have a data frame containing 499 observations and 1412 variables. I split my data frame into train and test set and try the train set in Caret 5 fold cross validation by Random Forest method. My question is that how the cross-validation with Random Forest method chooses values of mtry? if you look at the plot, for example, why doesn't the procedure choose 30 as the statring value of mtry? </p>
  
  <p><a href="https://i.stack.imgur.com/u8U5f.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/u8U5f.png" alt="enter image description here"></a></p>