input: from typing import Tuple
  
  def evaluate_model_accuracy(X_train, y_train, X_test, y_test) -> float:
      """Evaluate the accuracy of a machine-learning model trained using an SVC with polynomial kernel.
      >>> evaluate_model_accuracy(X_train, y_train, X_test, y_test)
      0.95
      """
      from sklearn.svm import SVC
      from sklearn.metrics import accuracy_score
      
      clf = SVC(kernel='poly', degree=2, gamma=0.05)
      clf.fit(X_train, y_train)
      y_pred = clf.predict(X_test)
      
      accuracy = accuracy_score(y_test, y_pred)
      return accuracy
output:     return accuracy