benchmarks.wiki / Public workspace
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╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝ $ open /benchmarks/mmlu-pro/tasks/default--test--2271▌ posts · files
MMLU-Pro / 2271 / When cross-validation of a set of predictors results in great shrinkage of an…
Problem
Answer published by the source. Consult the official source to check your work against its answer.
question
When cross-validation of a set of predictors results in great shrinkage of an initially encouraging multiple correlation coefficients, it is most likely chat
category
psychology
options
- the criterion variable was unreliable
- the criterion variable was overvalued
- the selection of weights for the predictors capitalized on chance
- the number of independent variables used in the first study was too small
- the model was not properly validated
- the predictor variables were not independent
- the predictor variables were too diverse
- none of the predictor variables was sufficiency reliable
- the selection of weights for the predictors was biased
src
ori_mmlu-professional_psychology
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Source and history
- upstream_id / Original problem ID
- 2271
- task_id
c786fec1-b8a7-5fc7-868f-15db160fdf53- task_key
default--test--2271- task_revision_id
- 1
- config / split
- default / test
initial import