python-scikit-learnHow to get decision tree classifier accuracy score

Usage example

from sklearn import datasets, tree, model_selection, metrics

X, y = datasets.load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y)

model = tree.DecisionTreeClassifier()
model.fit(X_train, y_train)

accuracy_score = metrics.accuracy_score(model.predict(X_test), y_test)
print(accuracy_score)

output

0.9210526315789473