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¡ |
Judge induced
h()’s quality by using a
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test
set
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¡ |
Training and
test set must be
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separate;
otherwise peeking occurs
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Modeling noise
or specifics of the
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training data
can lead to overfitting
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l |
Use pruning to
remove parts of the
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hypothesis that
aren’t justifiable
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