Question: 1. Consider the dataset in Table 1 regarding the prediction of students mathematics grades in their last year of secondary education (a.k.a. high school) in
1. Consider the dataset in Table 1 regarding the prediction of students mathematics grades in their last year of secondary education (a.k.a. high school) in Portugal, shown on the next page. Here, the class label is whether the students math grade is above or below average.1 (a) State one (1) potential use-case for a classifier for students grades trained on this dataset. (1) (b) Describe one (1) potential ethical issue regarding a classifier that could be trained on this dataset. (1) (c) Briefly explain in your own words, at a conceptual level, what a decision tree classifier is, and how such a classifier could be used to predict the final grade of a student. (1) (d) Briefly explain in your own words, in one or two sentences, the concept of entropy in the context of decision trees.
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