# Machine Learning: MCQs Set – 24

#### 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

• (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