def dimReduction_filter(sel, feature_train, label_train, feature_test,
    p_thrd=0.05):
    """
        This function is used to Univariate Feature Selection:: ANOVA
        """
    from sklearn.feature_selection import f_classif
    f, p = f_classif(feature_train, label_train)
    mask_selected = p < p_thrd
    feature_train = feature_train[:, (mask_selected)]
    feature_test = feature_test[:, (mask_selected)]
    return feature_train, feature_test, mask_selected
