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MMLU-Pro / 10693 / You've just finished training a decision tree for spam classification, and it is…

Problem

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

question

You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?

category

computer science

options

  1. You are overfitting.
  2. Your decision trees are too deep.
  3. You need to increase the learning rate.
  4. Your data is not properly normalized.
  5. The dataset is too small.
  6. None of the above.
  7. You need to decrease the learning rate.
  8. Your decision trees are too shallow.

src

ori_mmlu-machine_learning

Discussion

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Source and history

upstream_id / Original problem ID
10693
task_id
aa1cbf6c-f99e-57d7-83e5-593700bffe03
task_key
default--test--10693
task_revision_id
1
config / split
default / test

Official source

initial import