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Concept Learning [ 2 0 ] The data in Table 1 show the content rating ( S , N , V , L ) of

Concept Learning [20]
The data in Table 1 show the content rating (S,N,V,L) of 6 different movies, labeled
m1 to m6, and whether Jane liked the movie, or not.
movie S N L V likes
m1 T F F T T
m2 T F F F T
m3 F T F F F
m4 F F T F F
m5 T T F F T
m6 T T T F F
Table 1: Janes movie preferences
We want to use the data in Table 1 to learn which kind of movies, based on their
content rating, Jane likes to watch. A hypothesis for this data set can be written as
a conjunction of literals, for example:
h1= S N V
(a) Use the Candidate-Elimination algorithm to find the G- and S-boundaries of
the data in the table. Show all your steps. (15)
(b) What do you observe about the resulting version space that you computed
above? (2)
(c) Order the following hypotheses from least specific to most specific: (3)
i. h1= V
ii. h2= N V
iii. h3=N

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