MLS-C01 Question #322: Real Exam Question with Answer & Explanation

Question

A data scientist receives a collection of insurance claim records. Each record includes a claim ID. the final outcome of the insurance claim, and the date of the final outcome. The final outcome of each claim is a selection from among 200 outcome categories. Some claim records include only partial information. However, incomplete claim records include only 3 or 4 outcome categories from among the 200 available outcome categories. The collection includes hundreds of records for each outcome category. The records are from the previous 3 years. The data scientist must create a solution to predict the number of claims that will be in each outcome category every month, several months in advance. Which solution will meet these requirements?

Options

• APerform classification every month by using supervised learning of the 200 outcome categories
• BPerform reinforcement learning by using claim IDs and dates. Instruct the insurance agents who
• CPerform forecasting by using claim IDs and dates to identify the expected number of claims in
• DPerform classification by using supervised learning of the outcome categories for which partial