from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeClassifier
# clf = DecisionTreeClassifier(random_state=0)
# print(iris)
# clf = tree.DecisionTreeClassifier()
# clf = clf.fit(iris.data, iris.target)
# print(iris.data, iris.target)
