E2

Question 1

Target Variable

Answer 1

The variable whose values are to be modeled and predicted by other variables

Question 2

Supervised Segmentation

Answer 2

Split the set into disjoint subsets,

where all the individuals within a subset show the same value for a selected attribute

Question 3

The process of recursively segmenting the population stops when at least one of the following conditions is met:

Answer 3

– All elements of a segment belong to the same class
– The maximum allowed tree depth has been reached
– Using more attributes does not “help”

Question 4

Entropy

Answer 4

measures the general disorder (unpredictability) of a set

Question 5

Entropy is zero at…

Answer 5

minimum disorder

-> all members belong to the same class

Question 6

Entropy is one at…

Answer 6

maximal disorder

-> members equally distributed among classes

Question 7

Information gain (IG)

Answer 7

measures the change in entropy due to any amount of new information being added