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MMLU-Pro / 10452 / For polynomial regression, which one of these structural assumptions is the one…

Problem

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question

For polynomial regression, which one of these structural assumptions is the one that most affects the trade-off between underfitting and overfitting:

category

computer science

options

  1. The choice of the loss function used in the learning algorithm
  2. The assumed variance of the Gaussian noise
  3. The number of input variables
  4. The use of regularization techniques
  5. The type of polynomial function used
  6. The use of a constant-term unit input
  7. The computational complexity of the algorithm
  8. The polynomial degree
  9. The scale of the input data
  10. Whether we learn the weights by matrix inversion or gradient descent

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10452
task_id
2bdc4c1b-928e-51ac-a267-6d5d640c2ff2
task_key
default--test--10452
task_revision_id
1
config / split
default / test

Official source

initial import