new_contents: import pandas as pd
  from sklearn import svm, datasets
  from sklearn.model_selection import GridSearchCV
  from sklearn.metrics import classification_report
  
  iris = datasets.load_iris()
  parameters = {'kernel':('linear', 'rbf'), 'C':[1, 2, 4], 'gamma':[0.125, 0.25, 0.5 ,1, 2, 4]}
  svr = svm.SVC()
  clf = GridSearchCV(svr, parameters, n_jobs=-1)
  clf.fit(iris.data, iris.target)
  cv_result = pd.DataFrame.from_dict(clf.cv_results_)
  with open('cv_result.csv','w') as f:
      cv_result.to_csv(f)
      
  print('The parameters of the best model are: ')
  print(clf.best_params_)
  
  y_pred = clf.predict(iris.data)
  print(classification_report(y_true=iris.target, y_pred=y_pred))
  
subject: Update svm_grid_search.py