输出结果
实现代码
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)