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COMP90049_2025_SM1 Lecture 5 Decision Tree Practice Quiz

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What is the maximum possible height of a decision tree?

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The provided data for this question is incomplete: there are no answer options listed to evaluate, only an answer field stating 'The number of attributes'. In a typical discussion of decision trees, the maximum height (in the worst case, with no pruning and using ......Login to view full explanation

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Question11 We will use the dataset below to learn a decision tree which predicts if a patient has COVID-19 (Yes, or No), based on the Temperature (High, Medium, or Low) and whether the patient has dry cough (Yes, or No). (note: [math] )[table] Temp. | Cough | COVID-19 Low | No | No Low | Yes | Yes Medium | No | No Medium | Yes | Yes High | No | Yes High | Yes | Yes [/table]Assuming that H(COVID-19) = 0.8 and Gain(S, Temperature) = 0.3 and Gain(S, Cough) = 0.5, which one of the following would be the full decision tree, learnt for this dataset? (select one) ResetMaximum marks: 1.5 Flag question undefined

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