为啥a不对

问题如下：

Carlos Martin, a recent graduate of the financial engineering program at a well-known university, has just been hired by Jubilación S.L., a Madrid-based firm that specializes in retirement planning. He has been asked to develop a machine learning (ML) tool to help assign each client to one of the firm’s five strategic investment portfolios.

To build the training set with 50 defined features, 300 randomly selected working-age clients will be asked a set of open-ended questions by Lucia Fernandez, a market researcher. The resulting answers will include demographic data, information about risk preferences, and other retirement details. A Jubilación analyst will assign each individual in the sample to one of the five portfolios. Martin initially plans to perform machine learning analysis and use the model to assign new clients to the appropriate portfolio based on their responses to the questions.

Martin’s initial planned machine learning analysis is best described as a form of:

选项：

A.

categorical learning

B.

supervised learning

C.

unsupervised learning

解释：

B is correct. Martin initially plans to use ML to develop a model that assigns new clients to the appropriate portfolio based on their responses to the questions. The analysis is a form of supervised learning. Like regression, supervised learning involves ML algorithms that infer patterns between a set of inputs (the X’s, in this case the individual interview question responses) and the desired output (Y, the target ending portfolio value). The inferred pattern is then used to map a given input set into a predicted output.

A is incorrect. Categorical learning is a means to classify variables, not a method of machine learning.

C is incorrect. Unsupervised learning has no target output. Rather, the machine simply analyzes the structure of the data and seeks patterns within it.