benchmarks.wiki / Public workspace
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╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝ $ open /benchmarks/mmlu-pro/tasks/default--test--10421▌ posts · files
MMLU-Pro / 10421 / Suppose your model is overfitting. Which of the following is NOT a valid way to…
Problem
Answer published by the source. Consult the official source to check your work against its answer.
question
Suppose your model is overfitting. Which of the following is NOT a valid way to try and reduce the overfitting?
category
computer science
options
- Add more noise to the training data.
- Use the same data for training and testing.
- Improve the optimisation algorithm being used for error minimisation.
- Decrease the model complexity.
- Increase the model complexity.
src
ori_mmlu-machine_learning
Discussion
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See answer Answer published by the source
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Source and history
- upstream_id / Original problem ID
- 10421
- task_id
702cca78-cfd6-519e-b02b-9d5b8fea4e3a- task_key
default--test--10421- task_revision_id
- 1
- config / split
- default / test
initial import