code: def main():
      data, target = make_classification(
          n_samples=1000, n_features=45, n_informative=12, n_redundant=7
      )
  
      classifier = svm.SVC(
          gamma=args.gamma,
          C=args.C,
          kernel=args.kernel,
          coef0=args.coef0,
      )
  
      score = cross_val_score(
          classifier, data, target, "f1", cv=2
      ).mean()
      print("Score: {}".format(score))
      return score
  
imports: import argparse
  from sklearn.datasets import make_classification
  from sklearn.cross_validation import cross_val_score
  from sklearn import svm
label_desc: Use image node_id 1 for calling a global function with example usage: main() and returns: score