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MMLU-Pro / 10525 / Statement 1| Density estimation (using say, the kernel density estimator) can be…

Problem

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

question

Statement 1| Density estimation (using say, the kernel density estimator) can be used to perform classification. Statement 2| The correspondence between logistic regression and Gaussian Naive Bayes (with identity class covariances) means that there is a one-to-one correspondence between the parameters of the two classifiers.

category

computer science

options

  1. Partially True, Partially False
  2. Mostly True, Mostly False
  3. Partially False, Partially True
  4. False for certain cases, True for certain cases
  5. True, True
  6. True, False
  7. False, False
  8. False, True
  9. Mostly False, Mostly True
  10. True for certain cases, False for certain cases

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10525
task_id
9ad55cb2-1b55-548f-8665-45f56841b9cc
task_key
default--test--10525
task_revision_id
1
config / split
default / test

Official source

initial import