In Boosting the misclassification calculation is cumulative in nature
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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Question

Transcribed Image Text:**Question:**
In Boosting, the misclassification calculation is cumulative in nature.
- ○ True
- ○ False
**Explanation:**
Boosting is a machine learning ensemble technique that combines weak classifiers to create a strong classifier. The process involves focusing on instances that previous models misclassified by adjusting their weights. This cumulative approach helps improve the overall prediction accuracy as subsequent models correct errors made by earlier ones.
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