import math

def accuracy_standard_error(accuracy: float, n: int) -> float:
    """
    :param accuracy: accuracy of the model
    :param n: number of samples
    :return: standard deviation of accuracy of the model
    """
    return math.sqrt((accuracy * (1 - accuracy)) / n)

def accuracy(n_correct: int, n_total: int) -> float:
    """
    :param n_correct: number of correct predictions
    :param n_total: number of total predictions
    :return: accuracy of the model
    """
    return n_correct / n_total