code: def compute_roc_standard(x_train, y_train, x_test, y_test):
      model = sklearn.svm.SVC().fit(x_train, y_train)
      decision_values = model.decision_function(x_test)
      auc = optunity.metrics.roc_auc(y_test, decision_values)
      return auc
  
file_path: optunity/bin/examples/python/sklearn/svc.py
imports: import optunity
  import optunity.metrics
  import sklearn.svm
  import numpy
  import time
  from sklearn.datasets import load_digits
label_desc: Use image node_id 1 for calling a global function with example usage: compute_roc_standard(x_train, y_train, x_test, y_test) and returns: auc