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)