new_contents: # View more python learning tutorial on my Youtube and Youku channel!!!
  
  # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
  # Youku video tutorial: http://i.youku.com/pythontutorial
  
  from sklearn import datasets
  from sklearn.cross_validation import train_test_split
  from sklearn.neighbors import KNeighborsClassifier
  
  iris = datasets.load_iris()
  iris_X = iris.data
  iris_y = iris.target
  
  ##print(iris_X[:2, :])
  ##print(iris_y)
  
  X_train, X_test, y_train, y_test = train_test_split(
      iris_X, iris_y, test_size=0.3)
  
  ##print(y_train)
  
  knn = KNeighborsClassifier()
  knn.fit(X_train, y_train)
  print(knn.predict(X_test))
  print(y_test)
  
  
  
subject: create sk4