input: Write a python function to calculate the accuracy score of a Decision Tree Classifier model.
  assert calculate_accuracy(y_test, y_pred) == 0.92 # Assuming 92% accuracy
  assert calculate_accuracy([1, 0, 1, 1], [1, 0, 1, 0]) == 0.75
  assert calculate_accuracy([0, 0, 0, 1, 1], [0, 1, 0, 1, 1]) == 0.8
output: def calculate_accuracy(y_test, y_pred):
      correct_predictions = sum(1 for yt, yp in zip(y_test, y_pred) if yt == yp)
      total_predictions = len(y_test)
      accuracy = correct_predictions / total_predictions
      return accuracy