Knn：Knn实现对150朵共三种花的实例的萼片长度、宽，花瓣长、宽数据统计，根据一朵新花的四个特征来预测其种类

from sklearn import neighbors
from sklearn import datasets  

knn = neighbors.KNeighborsClassifier()

iris = datasets.load_iris()  

print (iris) 

knn.fit(iris.data, iris.target) 

predictedLabel = knn.predict([[0.1, 0.2, 0.3, 0.4]])
print ("niu")
print (predictedLabel)