deeppavlov/metrics/accuracy.py
def accuracy(y_true: [list, np.ndarray], y_predicted: [list, np.ndarray]) -> float:
    """
    Calculate accuracy in terms of absolute coincidence

    Args:
        y_true: array of true values
        y_predicted: array of predicted values

    Returns:
        portion of absolutely coincidental samples
    """
    examples_len = len(y_true)
    correct = sum([y1 == y2 for y1, y2 in zip(y_true, y_predicted)])
    return correct / examples_len if examples_len else 0
def accuracy(y_true: [list, np.ndarray], y_predicted: [list, np.ndarray]) -> float:
    """
    Calculate accuracy in terms of absolute coincidence

    Args:
        y_true: array of true values
        y_predicted: array of predicted values

    Returns:
        portion of absolutely coincidental samples
    """
    examples_len = len(y_true)
    correct = sum([y1 == y2 for y1, y2 in zip(y_true, y_predicted)])
    return correct / examples_len if examples_len else 0
Calculate accuracy in terms of absolute coincidence

    Args:
        y_true: array of true values
        y_predicted: array of predicted values

    Returns:
        portion of absolutely coincidental samples