정밀도, 재현율, F1score
from sklearn.metrics import classification_report X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0) tree = DecisionTreeClassifier() result = cross_val_score(tree, X_train, y_train, cv = 5) print("모델성능 : {:.2f}".format(result.mean())) tree.fit(X_train, y_train) labels = y_test guesses = tree.predict(X_test) print(classification_report(labels, guesses))