Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Pruning an ID3 Decision Tree will never increase its validation error.
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Step 1 : Introduction
Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances.
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- A binary search tree has benefits over other data structures, such as a linked list or an array, and how do these advantages express themselves?arrow_forwardFor words like these, where can you get definitions? Why are they so crucial when it comes to parsing trees?arrow_forwardIt is easy to see why a binary search tree is preferable to other data structures, such as a linked list or an array, since its benefits are more obvious?arrow_forward
- 1. Implementation of hostel management system showing Binary search tree (BST) using C++ programming language and 2. Used Splay tree, instead of BST with the same Language (C++).arrow_forwardHow do the advantages of a binary search tree compare to those of other data structures, such as a linked list or an array?arrow_forwardWhen compared to alternative data structures, such as a linked list or an array, the advantages of a binary search tree are clear.arrow_forward
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