• Is a management accountant at , where he is in charge of their investment portfolio. worked with a data scientist to develop a model that predicts how a given loan will perform in the future based on the characteristics of the borrower available on the peer-to-peer lending platform Mandel Credit. and the data scientist on his team work together to develop the following decision tree: LOADING...(Click the icon to view the decision tree.) The data science team tested the full decision model on a validation set resulting in 5/8 correct classifications. LOADING...(Click the icon to view the validation set using the full decision tree.) Read the requirementsLOADING.... Question content area bottom Part 1 Requirement 1. Prune the tree at depth 3. Using the pruned tree, classify each loan in the validation sample as repay or default (if the probability of default is greater than 0.5 classify the loan as default). Calculate the proportion of loans correctly classified. Start by classifying each loan in the validation sample as (0) Repay or (1) Default using the pruned tree.