input: Write a function to evaluate the accuracy of a machine-learning model. The function should take in the trained model, the training data (X_train, y_train), and the testing data (X_test, y_test). It should return the accuracy of the model on the testing data.
  assert evaluate_model_accuracy(clf, X_train, y_train, X_test, y_test)
output: def evaluate_model_accuracy(model, X_train, y_train, X_test, y_test):
      model.fit(X_train, y_train)
      y_pred = model.predict(X_test)
      return accuracy_score(y_test, y_pred)