Which scenario is a proper use case for multinomial logistic regression?
A.
A marketing firm wants to estimate the personal income of a group of potential customers.
Using inputs such as age, education, marital status, and credit card expenditures, a data scientist is building a model that will estimate a person's
income
B.
A logistic distribution company wants to minimize the distance traveled by its delivery trucks.
A data scientist is building a model to determine the optimal route for each of tis trucks
C.
To improve the initial routing of a loan application, a financial institution plans to classify a loan application as Approve, Reject, or Possibly_Approve. Based on the company's historical loan application data, a data scientist is building a model to assign one of these three outcomes to each submitted application.
D.
A manufacturer plans to determine the optimal number of workers to employ in an assembly line process. Utilizing the observed distributions of the task durations of each process step, a data scientist is building a model to mimic the interactions and dependencies between each stage in the manufacturing process.
The Answer Is:
C
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