Machine Learning MCQ Questions with answers and solutions Page 15

Q. Which of the following option is true about k-NN algorithm?

(A) it can be used for classification
(B) it can be used for regression
(C) it can be used in both classification and regression
(D) not useful in ml algorithm

💬 Discuss

✅ Correct Answer: (C) it can be used in both classification and regression

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Feature can be used as a

(A) binary split
(B) predictor
(C) both a and b
(D) none of the above

💬 Discuss

✅ Correct Answer: (C) both a and b

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. The average positive difference between computed and desired outcome values.

(A) root mean squared error
(B) mean squared error
(C) mean absolute error
(D) mean positive error

💬 Discuss

✅ Correct Answer: (D) mean positive error

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. The most general form of distance is

(A) manhattan
(B) eucledian
(C) mean
(D) minkowski

💬 Discuss

✅ Correct Answer: (B) eucledian

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

(A) the decision boundry in the transformed feature space in non-linear
(B) the decision boundry in the transformed feature space in linear
(C) the decision boundry in the original feature space in not considered
(D) the decision boundry in the original feature space in linear

💬 Discuss

✅ Correct Answer: (B) the decision boundry in the transformed feature space in linear

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. How it's possible to use a different placeholder through the parameter . . . . . . . .

(A) regression
(B) classification
(C) random_state
(D) missing_values

💬 Discuss

✅ Correct Answer: (D) missing_values

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following is a categorical data?

(A) branch of bank
(B) expenditure in rupees
(C) prize of house
(D) weight of a person

💬 Discuss

✅ Correct Answer: (A) branch of bank

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. The F-test

(A) an omnibus test
(B) considers the reduction in error when moving from the complete model to the reduced model
(C) considers the reduction in error when moving from the reduced model to the complete model
(D) can only be conceptualized as a reduction in error

💬 Discuss

✅ Correct Answer: (C) considers the reduction in error when moving from the reduced model to the complete model

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Linear Regression is a supervised machine learning algorithm.

(A) TRUE
(B) Image classification, Real-time visual tracking
(C) ---
(D) ---

💬 Discuss

✅ Correct Answer: (A) TRUE

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following are supervised learning applications

(A) Spam detection, Pattern detection, Natural Language Processing
(B) is representative of the dataset as a whole
(C) Autonomous car driving, Logistic optimization
(D) Bioinformatics, Speech recognition

💬 Discuss

✅ Correct Answer: (A) Spam detection, Pattern detection, Natural Language Processing

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Machine Learning MCQs with answers Page - 15

Q. Which of the following option is true about k-NN algorithm?

Q. Feature can be used as a

Q. The average positive difference between computed and desired outcome values.

Q. The most general form of distance is

Q. In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

Q. How it's possible to use a different placeholder through the parameter . . . . . . . .

Q. Which of the following is a categorical data?

Q. The F-test

Q. Linear Regression is a supervised machine learning algorithm.

Q. Which of the following are supervised learning applications

Programming Categories

📱 Download Our App