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machine learning - Which approach to use for matching new students to a coach based on survey answers

There are new students which should automatically be assigned to a coach (which than teaches the students).

The students fill out a survey with 30 multiple choice questions beforehand from which the answers should be used as our features.

My idea is to handle this as a multiclass classification problem where every coach is a class and we can match a student based on their survey answers.

One problem is, that the training data is very small with only a few hundred student-coach matches with survey answers made by hand which can be used as the training data.

Does this approach can yield good results for this problem or is there a better solution/approach for it?

question from:https://stackoverflow.com/questions/65945178/which-approach-to-use-for-matching-new-students-to-a-coach-based-on-survey-answe

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