def accuracyMacro(y_test, predictions):
    """
    AUC Macro of our model

    Params
    ======
    y_test : sparse or dense matrix (n_samples, n_labels)
        Matrix of labels used in the test phase
    predictions: sparse or dense matrix (n_samples, n_labels)
        Matrix of predicted labels given by our model
    Returns
    =======
    aucMacro : float
        AUC Macro
    """
    aucMacro = 0.0


    return aucMacro

def accuracyMicro(y_test, predictions):
    """
    AUC Micro of our model

    Params
    ======
    y_test : sparse or dense matrix (n_samples, n_labels)
        Matrix of labels used in the test phase
    predictions: sparse or dense matrix (n_samples, n_labels)
        Matrix of predicted labels given by our model
    Returns
    =======
    aucMicro : float
        AUC Micro
    """
    aucMicro = 0.0


    return aucMicro