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MMLU-Pro / 10665 / Statement 1| We learn a classifier f by boosting weak learners h. The functional…

Problem

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question

Statement 1| We learn a classifier f by boosting weak learners h. The functional form of f’s decision boundary is the same as h’s, but with different parameters. (e.g., if h was a linear classifier, then f is also a linear classifier). Statement 2| Cross validation can be used to select the number of iterations in boosting; this procedure may help reduce overfitting.

category

computer science

options

  1. The statement 1 is not clear, True
  2. False, False
  3. True, Statement 2 is not clear
  4. False, Both are not related
  5. True, False
  6. True, True
  7. Both statements are not clear
  8. False, True
  9. True, Cross validation is not needed
  10. False, Cross validation increases overfitting

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10665
task_id
7f5625ac-6e19-5594-872b-cefc1e5a4872
task_key
default--test--10665
task_revision_id
1
config / split
default / test

Official source

initial import