ROC curve for different hyperparameters of `RandomForestClassifier`?
Seems like you already tuned your algorithm based on the mean_test_score. You also could tune the AUC, which is the area under the ROC curve. Tuning this can even provide better mean_test_score as I show in my blog post: http://philipppro.github.io/Tuning_random_forest/