Computer Science, asked by dondenny5, 1 year ago

How does generalization performance change with increasing size of training set?
A) Improves
B) Deteriorates
C) No Change
D) None

Answers

Answered by jeevan9447
7

the answer is A) Improves

Answered by adventureisland
0

Option (A) is correct.

The plot depicts the "improvement" in generalization performance as the size of the training set is increased.

About generalization performance :

  • The plot depicts the improvement in generalization performance as the size of the training set is increased.
  • As one might assume, performance improves as the number of training data grows. Fortunately, classification time scales linearly with the size of the training set.
  • Increasing the amount of training data provides information and should enhance the fit. The problem arises when you judge the classifier's performance only on the training examples used for the fit.

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