input: from typing import Tuple
  
  
  def evaluate_ml_model_accuracy(X_train, y_train, X_test, y_test) -> Tuple[str, float]:
      """ Evaluate the accuracy of a machine-learning model using sklearn SVC.
      >>> evaluate_ml_model_accuracy(X_train, y_train, X_test, y_test)
      ('Accuracy: 0.85', 0.85)
      """
output:     from sklearn.svm import SVC
      from sklearn.metrics import accuracy_score
  
      model = SVC()
      model.fit(X_train, y_train)
      y_pred = model.predict(X_test)
      accuracy = accuracy_score(y_test, y_pred)
      return f'Accuracy: {accuracy:.2f}', accuracy