def calculate_accuracy(preds, labels):
    """ Calculate the accuracy of model predictions against true labels.

    Parameters:
        preds (np.array): The predicted label from the model
        labels (np.array): The true label

    Returns:
        accuracy (float): The accuracy as a percentage of the correct
            predictions.
    """
    pred_flat = np.argmax(preds, axis=1).flatten()
    labels_flat = labels.flatten()
    accuracy = np.sum(pred_flat == labels_flat) / len(labels_flat)

    return accuracy