Logistic Regression MCQ Questions & Answers

Logistic Regression MCQs : This section focuses on "Basics" of Logistic Regression. These Multiple Choice Questions (MCQ) should be practiced to improve the Logistic Regression skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. Which of the following is used where the target variable is of categorical nature?

A. Keras
B. Knime
C. Logistic Regression
D. MXNet

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2. How many different types of Logistic Regression?

A. 2
B. 3
C. 4
D. 5

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3. _________ the target variable can have three or more possible values without any order.

A. Multinomial Logistic Regression
B. Binary Logistic Regression
C. Ordinal Logistic Regression
D. All of the above

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4. _______ are defined as the ratio of the probability of an event occurring to the probability of the event not occurring.

A. Simple
B. Even
C. Regex
D. Odds

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5. SVM is insensitive to individual samples.

A. Yes
B. No
C. Can be yes or no
D. Can not say

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6. Which of the following are advantages of the logistic regression?

A. Logistic Regression is very easy to understand
B. It requires less training
C. It performs well for simple datasets as well as when the data set is linearly separable
D. All of the above

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7. 0 and 1, or pass and fail or true and false is an example of?

A. Multinomial Logistic Regression
B. Binary Logistic Regression
C. Ordinal Logistic Regression
D. None of the above

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8. Mean Square Error (MSE) is suitable for Logistic Regression.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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9. What are the disadvantages of Logistic Regression?

A. Sometimes a lot of Feature Engineering is required
B. It is quite sensitive to noise and overfitting
C. Both A and B
D. None of the above

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10. Can we solve the multiclass classification problems using Logistic Regression?

A. Yes
B. No
C. Can be yes or no
D. Can not say

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