The computational complexity as well as the explanation offered by a genetic algorithm is largely determined by the
A) fitness function
B) techniques used for crossover and mutation
C) training data
D) population of elements
Correct Answer:
Verified
Q3: Use these tables to answer questions
Q4: Which statement is true about the K-Means
Q5: Which statement is true about the decision
Q6: An evolutionary approach to data mining.
A) backpropagation
Q7: Given a rule of the form IF
Q8: The K-Means algorithm terminates when
A) a user-defined
Q9: A data mining algorithm is unstable if
A)
Q10: Use these tables to answer questions
Q11: Construct a decision tree with root
Q13: A genetic learning operation that creates new
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