Evaluating Random Forest

In this final exercise you'll be evaluating the results of cross-validation on a Random Forest model.

The following have already been created:

100 XP

Retrieve a list of average AUC metrics across all models in the parameter grid.
What is the average AUC for the best model? This will be the largest AUC in the list.
Find the value of the maxDepth and featureSubsetStrategy parameters for the best model.
Calculate the AUC for the best model predictions on the testing data.