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MMLU-Pro / 10390 / Statement 1| After mapped into feature space Q through a radial basis kernel…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

Statement 1| After mapped into feature space Q through a radial basis kernel function, 1-NN using unweighted Euclidean distance may be able to achieve better classification performance than in original space (though we can’t guarantee this). Statement 2| The VC dimension of a Perceptron is smaller than the VC dimension of a simple linear SVM.

category

computer science

options

  1. Partly True, Partly False
  2. Partly False, Partly True
  3. True, False
  4. True, Partly True
  5. False, False
  6. True, True
  7. False, Partly True
  8. Partly False, True
  9. Partly True, False
  10. False, True

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10390
task_id
c1c187a8-ab9a-56fa-abce-fa6420d116f5
task_key
default--test--10390
task_revision_id
1
config / split
default / test

Official source

initial import