(b) Given the following data: name hair height weight lotion status Sarah blonde average light no...

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(b) Given the following data: name hair height weight lotion status Sarah blonde average light no sunburned Dana blonde tall average yes none Alex brown short average yes none Annie blonde short average no sunburned Emily red average heavy no sunburned Pete brown tall heavy no none heavy no none none John brown average Katie blonde short light yes Construct a full ID3 tree for the data with "status" as the target variable and “hair”, “height”, “weight” and “lotion” as the predictors using the information gain. In your calculation, you should let "sunburned" be positive and "none" be negative, you can skip computing the information gain if the split results in a pure node. (2 marks) (b) Given the following data: name hair height weight lotion status Sarah blonde average light no sunburned Dana blonde tall average yes none Alex brown short average yes none Annie blonde short average no sunburned Emily red average heavy no sunburned Pete brown tall heavy no none heavy no none none John brown average Katie blonde short light yes Construct a full ID3 tree for the data with "status" as the target variable and “hair”, “height”, “weight” and “lotion” as the predictors using the information gain. In your calculation, you should let "sunburned" be positive and "none" be negative, you can skip computing the information gain if the split results in a pure node. (2 marks)

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To construct a full ID3 tree for the given data with status as the target variable and hair height w... View the full answer