You run a logistic regression model in R using the glm() function. The dependent variable is the factor variable Y and independent variables are X1 and X2 (in other words, the formula is Y~X1+X2). In the model output, the coefficient of the constant term is a0, the coefficient of X1 is a1, and the coefficient of X2 is a2. Assuming a cutoff = 0.5, which of the following defines the equation of a decision boundary? a0 + a1X1 + a2X2 = 0.5 exp(-(a0 + a1X1 + a2X2)) = 0 O a0 + a1X1 + a2X2 = 0 exp(-(a0 + a1X1 + a2X2)) = 05

You run a logistic regression model in R using the glm() function. The dependent variable is the factor variable Y and independent variables are X1 and X2 (in other words, the formula is Y~X1+X2). In the model output, the coefficient of the constant term is a0, the coefficient of X1 is a1, and the coefficient of X2 is a2. Assuming a cutoff = 0.5, which of the following defines the equation of a decision boundary? a0 + a1X1 + a2X2 = 0.5 exp(-(a0 + a1X1 + a2X2)) = 0 O a0 + a1X1 + a2X2 = 0 exp(-(a0 + a1X1 + a2X2)) = 05

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

You run a logistic regression model in R using the glm() function. The dependent variable is the factor
variable Y and independent variables are X1 and X2 (in other words, the formula is Y~X1+X2). In the
model output, the coefficient of the constant term is a0, the coefficient of X1 is a1, and the
coefficient of X2 is a2. Assuming a cutoff = 0.5, which of the following defines the equation of a
decision boundary?
a0 + a1X1 + a2X2 = 0.5
exp(-(a0 + a1X1 + a2X2)) = 0
a0 + a1X1 + a2X2 = 0
O exp(-(a0 + a1X1 + a2X2)) = 0.5

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