Grid-Search finding Parameters for AUC
<p>I'm trying to find the parameters for my SVM, which give me the best AUC. But i can't find any scoring function for AUC in sklearn. Does someone have an idea? Here is my Code:</p>

<pre><code>    parameters = {"C":[0.1, 1, 10, 100, 1000], "gamma":[0.1, 0.01, 0.001, 0.0001, 0.00001]}
    clf = SVC(kernel = "rbf")
    clf = GridSearchCV(clf, parameters, scoring = ???)
    svr.fit(features_train , labels_train)
    print svr.best_params_
</code></pre>

<p>So what can i use for ??? to get the best parameters for an high AUC score? </p>