Consider a concept learning example of 5 attributes. Attributes can take one of (5,3,2,2,6) values respectively. Determine the sizes of Instance Space, Hypothesis Space ( used by Candidate-Elimination Algorithm) and the Space of all possible Concepts.
All the attributes has 4 distinct possible values i.e 5,3,2 and 6.
Therefore,
Instance Space = 4*4*4*4*4 = 1024.
Hypothesis space :
In this we add to each possible value a [null] so, now number of possible values of each attribute is 5.
= 1 + 5*5*5*5*5 = 3125 + 1 = 3126.
Space of all possible concepts:
In this we add to each possible value a [null] and a [0] so, now number of possible values of each attribute is 6
= 6*6*6*6*6 = 7776.
Consider a concept learning example of 5 attributes. Attributes can take one of (5,3,2,2,6) values respectively....
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