title: Extreme long runtime for "rf" using Caret package in R
body: <p>I am training a model using <code>rf</code> from the <code>caret</code> package using R (and Rstudio). The training data set is a data frame with 76k rows and 291 cols. My code is as follows:</p>
  
  <pre><code>library(caret)
  
  myTrControl &lt;- trainControl(method = "repeatedcv",
                              number = 5,
                              repeats = 3,
                              p = 0.75,
                              classProbs = TRUE,
                              summaryFunction = twoClassSummary)
  
  set.seed(64)
  myRF &lt;- train(x = myTrain[ , -c(1, 291)],
                y = myTrain$TARGET,
                data = myTrain,
                method = "rf",
                metric = "ROC",
                maximize = TRUE,
                trControl = myTrControl)
  </code></pre>
  
  <p>It's been running for 24 hours now. Is there a way I can estimate how long it will take?</p>
  
  <p>I read the <code>caret</code> documentation and I should probably have set <code>verboseIter = TRUE</code> in <code>trainControl</code> to get some information of what's going on while it calculates. I guess there is no "while calculating" way to request information of the progress, right?</p>
  
  <p>And third question: are there any other parameters within <code>trainControl</code> and <code>train</code> that I should regularly use to get information of the calculation while it's in progress?</p>
  
  <p>Thanks!</p>