def one_accuracy_ic(y, preds):
    """
    Compute the IC for one accuracy

    @param y: the outcome
    @param preds: the predictions based on a given subset of features

    @return the IC for accuracy
    """
    import sklearn.metrics as skm
    misclassification = skm.zero_one_loss(y_true=y, y_pred=preds, normalize
        =True)
    return -1 * (((preds > 1.0 / 2) != y) - misclassification)
