from sklearn import neighbors
from sklearn import datasets
knn = neighbors.KNeighborsClassifier()
iris = datasets.load_iris()
knn.fit(iris.data, iris.target)
predictedLabel = knn.predict([[0.1,0.2,0.3,0.4]])
print(predictedLabel)
from sklearn import neighbors
from sklearn import datasets
knn = neighbors.KNeighborsClassifier()
iris = datasets.load_iris()
knn.fit(iris.data, iris.target)
predictedLabel = knn.predict([[0.1,0.2,0.3,0.4]])
print(predictedLabel)