neigh = neighbors.KNeighborsClassifier()
grid = GridSearchCV(neigh,param_grid,cv=10,scoring='accuracy')
grid.fit(iris.data,iris.target)
Finally, lets print our best score and best parameters
print(grid.best_score_)
print(grid.best_params_)