in a trained a logistic regression classifier, it outputs a new example x with a prediction ho(x) - 0.3. This means: Select one: Oa. Our estimate for P(y-1 | x) Ob. Our estimate for Ply-0 | x) Oc. Our estimate for P(y-1 | x) Od. Our estimate for P(y=0 | x)

in a trained a logistic regression classifier, it outputs a new example x with a prediction ho(x) - 0.3. This means: Select one: Oa. Our estimate for P(y-1 | x) Ob. Our estimate for Ply-0 | x) Oc. Our estimate for P(y-1 | x) Od. Our estimate for P(y=0 | x)

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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in a trained a logistic regression classifier. it outputs a new example x with a prediction ho(x) = 0.3. This means:
Select one:
Oa. Our estimate for P(y-1 | x)
Ob. Our estimate for Ply-0 | x)
Oc. Our estimate for P(y-1 | x)
Od. Our estimate for P(y=0 | x)

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