COMPUTER SOFTWARE
PROGRAMMING LANGUAGES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Decision trees are only useful if the choices at each decision point are binary
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Both decision trees and tables can have redundancy, if not carefully designed
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Both decision trees and tables are good for modelling complex logic
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None of the above
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Detailed explanation-1: –Used in white box model. Answer: Random forest tree is used for regression type problem.
Detailed explanation-2: -Expert-Verified Answer (B) The entropy of a node typically decreases as we go down a decision tree is true about a decision tree.
Detailed explanation-3: -Disadvantages of decision trees They are not well-suited to continuous variables (i.e. variables which can have more than one value, or a spectrum of values). In predictive analysis, calculations can quickly grow cumbersome, especially when a decision path includes many chance variables.
Detailed explanation-4: -Answer:Option-BExplanation: Entropy helps to determine the impurity of a node and as we go down the decisiontree, entropy decreases.