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MMLU-Pro / 10731 / For Kernel Regression, which one of these structural assumptions is the one that…

Problem

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question

For Kernel 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 type of regression model used
  2. Whether kernel function is Gaussian versus triangular versus box-shaped
  3. Whether we use Euclidian versus L1 versus L∞ metrics
  4. The distance function used in the kernel
  5. The kernel width
  6. The number of data points used in the regression
  7. The minimum height of the kernel function
  8. The dimensionality of the data
  9. The maximum height of the kernel function
  10. The shape of the kernel function's tails

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10731
task_id
bc0095bb-7e88-57de-9936-19ef76832242
task_key
default--test--10731
task_revision_id
1
config / split
default / test

Official source

initial import