title: Error coming while using Random Forest using R
body: <p>I am using a dataset containing <code>mvar_1</code> as column, having names of one of 5 parties that citizen voted for last year. Other variables are just demographic variables, as the number of rallies attended for each parties, other stuffs.</p>
  
  <p>When I use the following code: </p>
  
  <pre><code>data.model.rf = randomForest(mvar_1 ~ mvar_2 + mvar_3 + mvar_4 + mvar_5 + 
                               mvar_6 + mvar_7 + mvar_8 + mvar_9 + mvar_10 + 
                               mvar_11 + mvar_15 + mvar_17 + mvar_18 + mvar_21 + 
                               mvar_22 + mvar_23 + mvar_24 + mvar_25 + mvar_26 +
                               mvar_28, data=data.train, ntree=20000, mtry=15, 
                               importance=TRUE, na.action = na.omit )
  </code></pre>
  
  <p>This error message appears: </p>
  
  <pre><code>Error in randomForest.default(m, y, ...) : 
    Can not handle categorical predictors with more than 53 categories.
  </code></pre>