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Paired with SOLfrom sklearn import datasets from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split iris = datasets.load_iris() X = http://iris.data y = http://iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) clf = DecisionTreeClassifier() http://clf.fit(X_train, y_train) predictions = clf.predict(X_test)
