. It is important to calculate the worst-case computational complexity of the decision tree algorithm.Given data set D, the number of attributes n, and the number of training tuples [D], show that thecomputational cost of growing a tree is at most nx |D| × log(|D|).

the solution is an given below :

It is important to calculate the worst-case computational complexity of the decision tree algorith Given data set D, the number of attributes n, and the number of training tuples [D], show that t computational cost of growing a tree is at most nx |D| × log(|D|).

It is important to calculate the worst-case computational complexity of the decision tree algorith Given data set D, the number of attributes n, and the number of training tuples [D], show that t computational cost of growing a tree is at most nx |D| × log(|D|).

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

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. It is important to calculate the worst-case computational complexity of the decision tree algorithm.
Given data set D, the number of attributes n, and the number of training tuples [D], show that the
computational cost of growing a tree is at most nx |D| × log(|D|).

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