The training set has 3 unique label values (A, B, C). Assume that you have 3 trained binary classifiers (M1, M2, M3) using logistic regression. M1 classifies an input to A or B; M2 classifies an input to B or C and M3 classifies an input to A or C. How can you combine the 3 classifiers to one multinomial classifier to classify an input to A, B or C?

The training set has 3 unique label values (A, B, C). Assume that you have 3 trained binary classifiers (M1, M2, M3) using logistic regression. M1 classifies an input to A or B; M2 classifies an input to B or C and M3 classifies an input to A or C. How can you combine the 3 classifiers to one multinomial classifier to classify an input to A, B or C?

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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