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Assuming that the training set below is to be used to inform the construction of a decision tree for classifying a new example. Three attributes are used here to describe daily weather conditions alongside their classification in terms of if these conditions are good for carrying out a certain activity (i.e., +) or not a good day for the activity (i.e., -). The algorithm is considering which attribute to use at the root of the tree. Here you are asked to provide the expected entropy associated with the "Windy" attribute. You must provided your answer in the field provided and round your answer correct to 3 decimal places.
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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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