Given a decision tree, you have the option of (A) converting the decision tree to rules and hen pruning the resulting rules, or (B) pruning the decision tree and then converting the runed tree to rules. What advantage does (A) have over (B)?

Given a decision tree, you have the option of (A) converting the decision tree to rules and hen pruning the resulting rules, or (B) pruning the decision tree and then converting the runed tree to rules. What advantage does (A) have over (B)?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Related questions

Q: Why is tree pruning useful in decision tree induction? What is a drawback of using a separate set of…

A: The answer of the question is given below

Q: may be combi

A: Discretisation with decision trees Separation with decision trees involves using a decision tree to…

Q: two more examples game trees for Euclid's Game?

A: Starting with a = 30 and b = 18

Q: What are the differences between the B tree and the B+ tree?

A: The difference between b tree and b+ tree is given in next step:

Q: What is the best way to design a decision tree? Your response must include the methods for creating…

A: It is necessary to determine this here. How to make a decision tree diagram.

Q: explain to me briefly about the decision tree

A: Decision tree is a kind of pictorial description or the flow chart like structure which helps in…

Q: Do you have any idea what makes minimum spanning trees so special? The c language is taken for…

A: The euclidean distance and vertices are the same for all theoretical spanning trees with graph G.…

Q: Decision Tree / We want to learn a function that returns (counts) the number of attributes with the…

A: The decision tree representing the above function and explanation of the above function are as…

Q: Q.4 List the advantages and disadvantages of decision tree.

Q: Implement a graphical system for employee management that includes an employee id, employee name,…

A: To implement a graphical system for employee management that includes an employee id, employee name,…

Q: The data structure that we are referring to is known as a binary search tree. EXPLAIN the process…

A: The answer is with a proper diagram is given below.

Q: Create a diagram (handwritten or digital) for the children of the configuration below in the game…

A: In this given above the game tree, if x is the next to play next:…

Q: All the methods as well as the main method/tester statements must be written in one class. DO NOT…

A: ANSWER:-

Q: a) Which attribute would information gain choose as the root of the tree? b) Draw the decision tree…

A: ANSWER:-

Q: Question 4 a) What problem might occur if you try to apply generic alpha-beta pruning on a game tree…

A: a) Alpha-beta pruning is a modified version of minimax algorithm and it is used in game playing. It…

Q: Draw a binary expression tree that represents the expression 3 * (( 7 + 1) / 4) + (17 – 5) Also,…

A: Binary expression tree:- A binary expression tree is a specific type of tree data structure that is…

Q: the first b. 3.The last symbol of the string is d. 4.Each a is immediately fo

A: Let L be the language over {a, b,c,d} accepting all strings so that: 1.All c’s occur before the…

Q: write java code implemention (input and output) for B Tree Insertion – with different t values (t=3…

A: Lets see the solution.

Q: 2.6 Give context-free grammars generating the following languages. gs over the alphabet (a,b) with…

A: In the area of formal languages and automata principle, the study of Pushdown Automata (PDAs) is…

Q: Print elements of all the Nodes of a tree using In-order Traversal. 4.

A: as per Bartleby guidelines we are supposed to answer?️ only one question. Kindly repost other…

Q: How can you describe LL(1) grammars? a.They process input right to left producing rightmost…

A: These question answer is as follows,

Q: A new property was added to the search key in order to manage the problem of search keys that were…

A: Multi-level hierarchical indexing uses B+- trees. Compared to the B- Tree, B+ trees only retain data…

Q: Use a truth tree (3x)Fx, ~(3x XE

A: The correct is questions in Option("a")"Valid"

Q: Program a BST in C (just two functions). The structures are posted as a picture in the function…

A: Here have to determine bst in c code.

Q: Create an Algebraic Expression tree for 2*3/(2-1)+5*(4-1).

A: Algorithm: Step 1 :- Start Step 2:-Read one symbol at a time from the postfix expression. Step 3:-…

Q: Built a Decision tree for Cell Phone Classification. Your tress should have at least 2 Levels.

A: Assumptions on attributes and classes : Class Name : Label Values: Smartphones, Mobile phones…

Q: reate prolog predicates for non-self-balancing 2-3 Trees. Details: add(X, T1, T2) is true if…

A: answer is given below step:-1 The term predicate is utilized in one of two ways in semantics and its…

Q: nlai nin how,

A: Pruning Pruning decreases the size of a Decision Tree which has the possibility to slightly…

Q: Do you have any idea what the defining qualities of trees with minimum spanning are? It is expected…

A: Introduction: The spanning tree's cost is the total of the weights of all the tree's edges. Many…

Q: The correct statements are: To encode the union operation into a language recognition problem, we…

A: The heart of theoretical computer science is the interaction of formal languages, decision problems,…

Q: Write an iterative (non-recursive) function that returns the minimum value in the tree. If the tree…

A: smallestElement() will find out the smallest node in binary tree It checks whether root is null,…

Q: Do you know what the characteristics of minimal spanning trees are? c language is assumed.

A: Minimal Spanning tree: A minimal spanning tree (MST) or minimum weight spanning tree (MWST) is a…

Q: Suppose that we used a decision tree to sort exactly four elements and then hand-translated it to…

A: Given : Suppose that we used a decision tree to sort exactly four elements and then hand-translated…

Q: Use truth trees to determine whether the following symbolized arguments are valid or invalid. 1. P~N…

A: List the premises and the negation of the realization in a vertical column.• This is to anticipate…

Q: R -> AaB | bAb | AaA | BaB A -> aA | bB | a B-> bB| aA| b draw a parse tree for the right sentential…

A: R -> AaB | bAb | AaA | BaB A -> aA | bB | a B-> bB| aA| b draw a parse tree for the right…

Concept explainers

Decision Tree

A decision tree is a unique kind of probability tree. A popular and powerful tool used for prediction and classification. The decision tree structure is the same as a flowchart with a tree structure. The internal node refers to the attribute test, the branch refers to the outcome of the test, and the leaf node(terminal) contains the class label.

Question

Given a decision tree, you have the option of (A) converting the decision tree to rules and
then pruning the resulting rules, or (B) pruning the decision tree and then converting the
pruned tree to rules. What advantage does (A) have over (B)?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1 Explaination

VIEW

Step 2 Answer

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

The 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?
Given the following sample observations: Grade Attendance Evaluation A 9 Еxcellent А 3 Еxcellent C 4 Good a. If we were to apply the Random Forest algorithm to this set, how many possible decision trees we will get? (specify the number, and the structure of the tree, so the root node and then the options, you can write text to explain, and you can use “>" to show the structure, e.g.: A(root) →yes →..., ne need to draw the tree)
Hi guys, I was told in the class, you can determine wether the CFG grammar is ambiguous by following the predict recursive decent parser's restriction. Please refer to the images. for example G1: the First(aA) = {a} First(a) = {a} First(aA) intersect First(a) != empty set, therefore G1 should be ambiguous, but this is wrong, can I get some explanation why using this restriction rule is not working on this problem, thanks
A decision tree with better splits means that it can be more accurate in __
pls anwser in prolog language, thank you.
What prevents a decision tree from a decision table?
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++).
Pruning an ID3 Decision Tree will never increase its validation error.
Do you have any idea what makes minimum spanning trees so special? The c language is taken for granted.
Computer science
For the infix expression (a * b - c/d * e) 1. draw its expression tree 2. determine its prefix equivalent 3. determine its postfix equivalent Account for the proper Java operator/algebraic precedence in the infix expression. Be sure the operands in the expression remain in the original order. You may attempt to draw the tree with text as in y
Below are the top 3 levels of the game tree (tree of all continuations) of 2x2 go, with symmetry pruning. Each pass move is shown as an empty circle. Draw the next two levels of the game tree (you can prune for symmetry).