Machine Learning: MCQs Set – 24
Machine Learning: MCQs Set – 24
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Q231: The Q-learning algorithm is a
- (A) Supervised learning algorithm
- (B) Unsupervised learning algorithm
- (C) Semi-supervised learning algorithm
- (D) Reinforcement learning algorithm
Q232: For categorical data, ____ cannot be used as a measure of central tendency.
- (A) Median
- (B) Mean
- (C) Quartile
- (D) None of the above
Q233: Which of the following measure is not used for a classification model?
- (A) Accuracy
- (B) Recall
- (C) Error rate
- (D) Purity
Q234: n-gram of size 1 is called
- (A) Bigram
- (B) Unigram
- (C) Trigram
- (D) None of the above
Q235: Cosine similarity is most popularly used in
- (A) Text classification
- (B) Image classification
- (C) Feature selection
- (D) None of the above
Q236: In statistical terms, this represents the weighted average score.
- (A) Variance
- (B) Mean
- (C) Median
- (D) More
Q237: Price prediction in the domain of real estate is an example of?
- (A) Unsupervised Learning
- (B) Supervised Regression Problem
- (C) Supervised Classification Problem
- (D) Categorical Attribute
Q238: This step of supervised learning determines ‘the type of training dataset’.
- (A) Problem Identification
- (B) Identification of Required Data
- (C) Data Pre-processing
- (D) Definition of Training Data Set
Q239: What is the meaning of hard margin in SVM?
- (A) SVM allows very low error in classification
- (B) SVM allows high amount of error in classification
- (C) Underfitting
- (D) SVM is highly flexible
Q240: What would be the relationship between the training time taken by 1-NN, 2-NN, and 3-NN?
- (A) 1-NN > 2-NN > 3-NN
- (B) 1-NN < 2-NN < 3-NN
- (C) 1-NN ~ 2-NN ~ 3-NN
- (D) None of these
Answers:
Question | Q231 | Q232 | Q233 | Q234 | Q235 | Q236 | Q237 | Q238 | Q239 | Q240 |
Answer | D | D | D | B | A | B | B | D | A | B |