A building society uses neural network to predict the creditworthiness of mortgage applicants. There are two output nodes: one for yes (1 = yes, 0 = no) and one for no (1 = no, 0 = yes). If an applicant scores 0.80 for the “yes” output node and 0.39 for the “no” output node, what will be the outcome of the application? Would the applicant be a good credit risk?