TOOLS AND TECHNIQUES FOR COMPILER DESIGN
MISCELLENOUS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Uses quantitative data only-ignores qualitative aspects of decisions
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It is based on assumptions and estimates
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Choices are set out in a logical way
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Assignment of probabilities and expected values prone to bias
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Detailed explanation-1: -Decision trees help you to evaluate your options. Decision trees are excellent tools for helping you to choose between several courses of action. They provide a highly effective structure within which you can lay out options and investigate the possible outcomes of choosing those options.
Detailed explanation-2: -A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks. It has a hierarchical, tree structure, which consists of a root node, branches, internal nodes and leaf nodes.
Detailed explanation-3: -The biggest advantage of decision trees is that they make it very easy to interpret and visualize nonlinear data patterns. They also work very fast, especially for exploratory data analysis. If your dataset is small, decision trees deliver the high accuracy score.
Detailed explanation-4: -Decision trees help businesses work through choices to determine the best outcomes for their organizations. According to CFO Selections, businesses use decision trees to lay out all possible outcomes and solutions, which can help them make informed choices on things such as these: Downsizing or expanding.