scoring="roc_auc" on GridSearchCV for RF and DT
The answer is: It is possible. 
                                                                     However, the feature is only available to binary cases under the stated question. As explained by @AndreasMueller.
Reading the scikit-learn documentation and looking for similar topics I couldn't figure out an answer. 
Can I apply GridSearchCV having scoring="roc_auc" on Random Forest or Decision Trees without any drawback? 
Thank you in advance for any clarification.