Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 8.1, Problem 1E
Program Plan Intro
To find the smallest possible depth of a leaf in a decision tree for a comparison sort.
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A decision tree with better splits means that it can be more accurate in __
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Discretized values in a decision tree may be combined into a single branch, if:
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order is not preserved
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order is preserved.
Chapter 8 Solutions
Introduction to Algorithms
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- If a binary search tree has n nodes, what are the lowest and highest nodes? Your answer should be supported by mathematical logic.arrow_forwardA decision tree with better splits means that: a. all the branches have binary splits. b. the tree has higher accuracy in prediction. c. the branches are of equal depth. d. the tree has more branches.arrow_forwardWhat is the smallest possible depth of a leaf node in a decision tree for a comparison sort of n elements? What is the largest possible depth of a leaf node in a decision tree for a comparison sort of n elements? Justify your answersarrow_forward
- The sequence in which items are put into a binary search tree has an impact on the tree's overall balance.. Is this statement accurate?arrow_forwardIs this the case? The sequence of item addition influences the overall balance of a binary search tree.ent correct?arrow_forwardIn R, the method required for a decision tree with a categorical dependent variable is _________. class family binomial exparrow_forward
- If a binary search tree contains n nodes, what are the lowest and highest nodes? Provide a mathematical justification for your answer.arrow_forwardThe DecisionTree class uses the LinkedBinaryTree class to implement a binary decision tree. Tree elements are read from a given file and then the decision tree can be evaluated based on user input using the evaluate method.arrow_forwardIs that correct? A binary search tree's overall balance is influenced by the order in which items are added.Is that right?arrow_forward
- Describe in as few as one or as many as a few words as possible the differences between a decision tree and a random forest. In utilising the random forest technique, what are some ways that we may ensure that randomization will occur twice?arrow_forwardThe accuracy on an unpruned decision tree is 40% on the test data, while that on the training data is close to 60%. Write the accuracy expression of this using 0.632 bootstrap?arrow_forwardIs that right? The sequence in which items are added influences the overall balance of a binary search tree.Is that correct?arrow_forward
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