def knn_predictor(x_train, y_train, x_test, y_test): clf = NearestNeighbors(n_neighbors = 5) clf.fit(x_train) accuracy = clf.score(x_test, y_test) f1 = precision_recall_fscore_support(y_test, clf.predict(x_test), average = 'weighted')[2] print(accuracy, f1)
