5. Say that a neural network has been constructed to predict the creditworthiness of applicants. There are two output nodes: one for yes (1 = yes, 0 = no) and one for no (1 = no, 0 = yes). An applicant receives a score of 0.83 for the “yes” output node and a 0.44 for the “no”

output node. Discuss what may have happened and whether the applicant is a good credit risk.