title: final model in cross-validation using caret package
body: <p>I did cross validation on my data using Random Forest method in Caret package, R says that the final model is built using mtry=34, does it mean that in the final Random Forest (resulted from cross-validation) only 34 variables of the parameters in my data set were used for splitting in trees?</p>
  
  <pre><code>&gt; output
  Random Forest 
  
   375 samples
    592 predictors
    2 classes: 'alzheimer', 'control' 
  
    No pre-processing
    Resampling: Cross-Validated (3 fold) 
    Summary of sample sizes: 250, 250, 250 
    Resampling results across tuning parameters:
  
    mtry  Accuracy   Kappa    
    2   0.6826667  0.3565541
    34   0.7600000  0.5194246
    591   0.7173333  0.4343563
  
     Accuracy was used to select the optimal model using  the largest value.
     The final value used for the model was mtry = 34.
  </code></pre>