基本分类

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target)
clf = RandomForestClassifier()
clf.fit(X_train, y_train)
print(clf.score(X_test, y_test))

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