Question 1 (1 point)

Which of the following can be used for the incremental learning task?

Question 1 options:

	perceptron
	instance-based learning
	COBWEB clustering
	all of the above
	none of the above

Question 2 (1 point)

Using the terminology of our textbook, the input to data mining involves concepts, instances and attributes. Which of the following is not a good pairing of synonyms (i.e., words with same or similar meanings in a certain context)?

Question 2 options:

	concept, class
	attribute, value
	instance, example
	these are all good pairings
	these are all not good pairings

Question 3 (1 point)

Which of the following is considered as a supervised learning algorithm?

Question 3 options:

	logistic regression model
	instance-based learning (nearest neighbor)
	k-means clustering
	a, b, c
	a, b

Question 4 (1 point)

Which of the following is not a form of a learned model or representation of knowledge obtained through machine learning?

Question 4 options:

	clusters
	association rules
	a linear regression formula
	instance-based representation
	these are all forms of learned models

Question 5 (1 point)

In the 1R algorithm, there is a count of errors for rules based on a single attribute. The number of errors for the rules based on Aquatic in Table 1 is:

Table 1: Vertebrate Dataset (modified from Introduction to Data Mining by Tan et al.)

Name	Body temp	Give birth	Aquatic	Class
human	warm	yes	no	mammal
echidna	warm	no	no	mammal
salmon	cold	no	yes	fish
whale	warm	yes	yes	mammal
eel	cold	no	yes	fish
bat	warm	yes	no	mammal
shark	cold	yes	yes	fish
cat	warm	yes	no	mammal

Question 5 options:

	0
	1
	2
	3
	none of the above

Question 6 (1 point)

Consider a numeric attribute Z, where its values are as follows with the class associated below:

130, 100, 70, 120, 60, 150, 75, 75, 90, 95

yes, yes, no, yes, no, yes, no, yes, no, no

Discretize this attribute, assuming that a division requires at least three of the majority class, and that you form the divisions starting at the lowest number, and increasing in the sorted values. The first of these divisions is between

Question 6 options:

	75, 90
	70, 75
	90, 95
	75, 75
	95, 100