Please refer to the following question:

Consider the following dataset in which F, G and H are features and C is the class label. Give the output of the PRISM algorithm on this data set. F G H C No Yes Yes Yes No No Yes No Maybe Yes Yes Yes No Yes Yes Yes Yes Yes No No Maybe Yes No No Maybe Yes Yes Yes Yes Yes No No No Yes No No Suppose you are the manager of the loan department of a bank. Your data analyst examines previous loan repayments, and, based on some training dataset, suggests two classification algorithms to determine whether a new customer should get a loan. Suppose the confusion matrices for these two algorithms are as follows: ALGORITHM 1 Actual paid_loan = yes Predicted paid_loan = yes 295 Predicted paid_loan = no 5 Actual paid_loan = no 95 605 ALGORITHM 2 Predicted paid_loan = yes Predicted paid_loan = no Actual paid_loan = yes Actual paid_loan = no 205 5 95 695 Under what business circumstances would it make sense to use Algorithm 2 instead of Algorithm 1