A lab wants a person to double-check any test sample the model is unsure about.
Task: write close_calls(name, k, threshold). name is "iris", "wine" or "breast_cancer".
X and y, and split with train_test_split(X, y, test_size=0.25, random_state=0).KNeighborsClassifier(n_neighbors=k) on the training rows.X_test in order) of the test rows whose highest probability is less than threshold, in increasing order.