Assume there are three hypotheses, h1, h2, h3, which are trained from the same data set D. The accuracy of the three hypotheses are P(h1) = 0.45, P(h2) = 0.3, P(h3) = 0.25. Given a new instance x, the predicted results of the three hypotheses are h1(x) = yes, h2(x) = no, h3(x) = no. (Assume binary target values of "yes" and "no.") What is the predicted result of the Bayes optimal classifier using h1, h2, and h3? O Yes O No

Assume there are three hypotheses, h1, h2, h3, which are trained from the same data set D. The accuracy of the three hypotheses are P(h1) = 0.45, P(h2) = 0.3, P(h3) = 0.25. Given a new instance x, the predicted results of the three hypotheses are h1(x) = yes, h2(x) = no, h3(x) = no. (Assume binary target values of "yes" and "no.") What is the predicted result of the Bayes optimal classifier using h1, h2, and h3? O Yes O No

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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System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.

Question

Assume there are three hypotheses, h1, h2, h3, which are trained from the same data set D. The accuracy of the three hypotheses are P(h1) = 0.45, P(h2) =
0.3, P(h3) 0.25.
Given a new instance x, the predicted results of the three hypotheses are h1(x) = yes, h2(x) = no, h3(x) = no. (Assume binary target values of "yes" and "no.")
What is the predicted result of the Bayes optimal classifier using h1, h2, and h3?
O Yes
O No

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