O Cross entropy loss function for a logistic regression based model is given as: Cost = (Vactual) In (Ypredcted) - (1 - Yactual) ln(1 - Ypredcted) Consider a case having two instances shown below having Yactual v/s Ypredicted Yactual 1 1 Ypredicted 0.95 0.1 For these instances, verify the fact that using the cross entropy loss function penalizes the "misclassified case" more in comparison to the mean square error loss function.

O Cross entropy loss function for a logistic regression based model is given as: Cost = (Vactual) In (Ypredcted) - (1 - Yactual) ln(1 - Ypredcted) Consider a case having two instances shown below having Yactual v/s Ypredicted Yactual 1 1 Ypredicted 0.95 0.1 For these instances, verify the fact that using the cross entropy loss function penalizes the "misclassified case" more in comparison to the mean square error loss function.

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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