Logistic regression Machine Learning Multiple Choice Questions

Hello friends in this post we will discuss about logistics Regression machine learning multiple choice questions.

Logistic regression Machine Learning Multiple Choice Questions are very important as per the our syllabus for various entrance exams as well as for your exam purpose also.

All the notes which we have taken are from the famous website geeksforgeeks.

1.Logistic regression is basically____

A) unsupervised
B) supervised
C) reinforcement
D) classification

ANSWER=B) supervised
Explain:- Logistic regression is basically supervised classification algorithm
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2.In a classification problem, the target variable(or output), y, can take only______

A) continue value
B) discrete values
C) random value
D) sample value

ANSWER=B) discrete values
Explain:- In a classification problem, the target variable(or output), y, can take only discrete values
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3.Linear regression assumes that the data follows a linear function, Logistic regression models the data using the______

A) continues function
B) linear function
C) sigmoid function
D) sample function

ANSWER=C) sigmoid function
Explain:- Linear regression assumes that the data follows a linear function, Logistic regression models the data using the sigmoid function.
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4.target variable can have only 2 possible types ______

A) 1 and 0
B) 2 and 1
C) 1 and -1
D) none

ANSWER=A) 1 and 0
Explain:-target variable can have only 2 possible types 1 and 0
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5.logistic function is also called as _______

A) cost function
B) corresponding function
C) linear function
D) sigmoid function

ANSWER=D) sigmoid function
Explain:-logistic function is also called as sigmoid function.
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6.Using Linear Regression, all predictions are

A) less than 0.5
B) greater than 0.5
C) less than 1
D) greater than 1

ANSWER=B) greater than 0.5
Explain:- Using Linear Regression, all predictions >= 0.5
Check Answer