DATABASE FUNDAMENTALS
BASICS OF BIG DATA
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Humidity
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Outlook
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Wind
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None of the mentioned
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Detailed explanation-1: -Option(c) is the correct answer to the given question . The entropy is measuring in terms of homogeneity. When the sample of the homogeneity is totally homogeneous, the entropy become zero, and otherwise the entropy is 1. All the other option are not related to given scenario so these are incorrect options.
Detailed explanation-2: -ID3 uses Entropy and Information Gain as attribute selection measures to construct a Decision Tree.
Detailed explanation-3: -Entropy measures the impurity or uncertainty present in the data. It is used to decide how a Decision Tree can split the data.
Detailed explanation-4: -As mentioned previously, the ID3 algorithm selects the best feature at each step while building a Decision tree. Before you ask, the answer to the question: ‘How does ID3 select the best feature? ‘ is that ID3 uses Information Gain or just Gain to find the best feature.