# Community Quiz (Machine learning)

  1. Which of the following is NOT supervised learning?

a) PCA

b) Decision Tree

c) Linear Regression

d) Naive Bayesian

  1. Which of the following statements about Naive Bayes is incorrect?

a) Attributes are equally important.

b) Attributes are statistically dependent of one another given the class value.

c) Attributes are statistically independent of one another given the class value.

d) Attributes can be nominal or numeric

  1. Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?

a) Decision Trees

b) Density-based clustering

c) Model-based clustering

d) K-means clustering

  1. Which of the following tasks can be best solved using Clustering.

a) Predicting the amount of rainfall based on various cues

b) Detecting fraudulent credit card transactions

c) Training a robot to solve a maze

d) All of the above

  1. Predicting the amount of rainfall in a region based on various cues is a ______ problem.

a) Supervised learning

b) Unsupervised learning

c) Clustering

d) None of the above

1.a) PCA
2.a) Attributes are equally important.
3.b) Density-based clustering
4.b) Detecting fraudulent credit card transactions
5.a) Supervised learning

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machine learning

1)A
2)B
3)B
4)B
5)A

1 Like

1.->a
2->b
3.->b
4->b
5->a

1 Like

1 - A
2 - B
3 - B
4 - B
5 - A

Thank You

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Q.1 - A - PCA
Q.2 - B - Attributes are statistically dependent of one another given the class value.
Q.3 - B - Density- based clustering.
Q.4 - B - Detecting fraudulent credit card transactions.
Q.5 - A - Supervised Learning