Now that we have loaded the iris dataset into H2O, we can build a Random Forest model. For this purpose, please use the menu option Model > Distributed RF (Beta) or direct link.
The Random Forest method has multiple tuning parameters that can affect the model it will build. For example, you can increase the number of trees, the maximum tree depth or the number of bins.