Machine Learning MCQ Questions with answers and solutions Page 26

Q. You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?

(A) your decision trees are too shallow.
(B) normalizing variables results in the slope being the correlation
(C) you are overfitting.
(D) incorrect data

💬 Discuss

✅ Correct Answer: (A) your decision trees are too shallow.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Point out the wrong statement.

(A) regression through the origin yields an equivalent slope if you center the data first
(B) random_state
(C) least squares is not an estimation tool
(D) none of the mentioned

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✅ Correct Answer: (C) least squares is not an estimation tool

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. . . . . . . . . which can accept a NumPy RandomState generator or an integer seed.

(A) make_blobs
(B) LabelBinarizer class
(C) test_size
(D) training_size

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✅ Correct Answer: (B) LabelBinarizer class

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. . . . . . . . . adopts a dictionary-oriented approach, associating to each category label a progressive integer number.

(A) LabelEncoder class
(B) 1 and 4
(C) DictVectorizer
(D) FeatureHasher

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✅ Correct Answer: (A) LabelEncoder class

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following properties are characteristic of decision trees?
1. High bias
2. High variance
3. Lack of smoothness of prediction surfaces
4. Unbounded parameter set

(A) 1 and 2
(B) it is the transmission of error back through the network to adjust the inputs
(C) 2, 3 and 4
(D) all of the above

💬 Discuss

✅ Correct Answer: (C) 2, 3 and 4

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. The cost parameter in the SVM means:

(A) The number of cross-validations to be made
(B) The kernel to be used
(C) The tradeoff between misclassification and simplicity of the model
(D) None of the above

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✅ Correct Answer: (C) The tradeoff between misclassification and simplicity of the model

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. his clustering approach initially assumes that each data instance represents a single cluster.

(A) expectation maximization
(B) k-means clustering
(C) agglomerative clustering
(D) conceptual clustering

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✅ Correct Answer: (C) agglomerative clustering

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. A supervised scenario is characterized by the concept of a . . . . . . . .

(A) Programmer
(B) Teacher
(C) Author
(D) Farmer

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✅ Correct Answer: (B) Teacher

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following sentence is correct?

(A) machine learning relates with the study, design and development of the algorithms that give computers the capability to learn without being explicitly programmed.
(B) data mining can be defined as the process in which the unstructured data tries to extract knowledge or unknown interesting patterns.
(C) both a and b
(D) none of the above

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✅ Correct Answer: (C) both a and b

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. The maximum likelihood method can be used to explore relationships among more diverse sequences, conditions that are not well handled by maximum parsimony methods.

(A) TRUE
(B) FALSE
(C) -
(D) -

💬 Discuss

✅ Correct Answer: (A) TRUE

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Machine Learning MCQs with answers Page - 26

Q. You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?

Q. Point out the wrong statement.

Q. . . . . . . . . which can accept a NumPy RandomState generator or an integer seed.

Q. . . . . . . . . adopts a dictionary-oriented approach, associating to each category label a progressive integer number.

Q. Which of the following properties are characteristic of decision trees?
1. High bias
2. High variance
3. Lack of smoothness of prediction surfaces
4. Unbounded parameter set

Q. The cost parameter in the SVM means:

Q. his clustering approach initially assumes that each data instance represents a single cluster.

Q. A supervised scenario is characterized by the concept of a . . . . . . . .

Q. Which of the following sentence is correct?

Q. The maximum likelihood method can be used to explore relationships among more diverse sequences, conditions that are not well handled by maximum parsimony methods.

Programming Categories

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Machine Learning MCQs with answers Page - 26

Q. You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?

Q. Point out the wrong statement.

Q. . . . . . . . . which can accept a NumPy RandomState generator or an integer seed.

Q. . . . . . . . . adopts a dictionary-oriented approach, associating to each category label a progressive integer number.

Q. Which of the following properties are characteristic of decision trees? 1. High bias 2. High variance 3. Lack of smoothness of prediction surfaces 4. Unbounded parameter set

Q. The cost parameter in the SVM means:

Q. his clustering approach initially assumes that each data instance represents a single cluster.

Q. A supervised scenario is characterized by the concept of a . . . . . . . .

Q. Which of the following sentence is correct?

Q. The maximum likelihood method can be used to explore relationships among more diverse sequences, conditions that are not well handled by maximum parsimony methods.

Programming Categories

📱 Download Our App

Q. Which of the following properties are characteristic of decision trees?
1. High bias
2. High variance
3. Lack of smoothness of prediction surfaces
4. Unbounded parameter set