title: rf call within Caret package in r long execution time
body: <p>I have a dataframe of 38K rows with 3 columns that I am feeding into a random forest process within caret, the first two columns are character classes and the third column (two one I am trying to explain is a factor). 
  Here are the tuning parameters I used for the function call:</p>
  
  <pre><code>trControl &lt;- trainControl(method = "repeatedcv", number=1, repeats=1)
  
  rf_model &lt;- train(YVar~., data=training, method="rf", trainControl = trControl, tuneLength = 1)
  </code></pre>
  
  <p>The model takes an extremely long time to run … I cancelled after about 8 hours… a comparable model in Python ran in a few minutes. I think it is something I am doing with the tuning parameters; I've done some research and people who have had a similar issue focused on reducing the number of cross validations/repeats.</p>
  
  <p>Thanks in advance.</p>