As mentioned in the part 2 handout, the `utils.py` utility is:


    from sklearn.metrics import roc_auc_score
    import sys
    import pandas as pd

    def get_auc(y_true, y_score):
        auc = roc_auc_score(y_true, y_score)
        return auc

    if __name__ == '__main__':
        args = sys.argv[1:]
        if len(args)  "
            exit()
        score_csv = args[0]
        label_csv = args[1]
        y_score = pd.read_csv(score_csv).score.values
        y_true = pd.read_csv(label_csv).score.values
        auc = get_auc(y_true, y_score)
        print "AUC: ", auc