Post-Processing
nounid
5025·updated Aug 28, 2026verified
Performed after training by accessing a holdout set that was not involved during the training of the model. If the algorithm can only treat the learned model as a black box without any ability to modify the training data or learning algorithm, then only post-processing can be used in which the labels assigned by the black-box model initially get reassigned based on a function during the post-processing phase.
Attested in
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Classifications
Entity Type
Process92%llm-generatedllm:claude-haiku-4-5
Sensitivity
Regulated85%rule-basedr:sens.regulated.framework.v1
Information Class
unclassified
Variants
- synonym
- data processingprocess personal data
- plural
- Post-Processings
- possessive
- Post-Processing's
- pluralpossessive
- Post-Processings'
Framework definitions
- §1 · EU
- Any operation or set of operations performed on personal data, whether or not by automated meansmandatory
- §1
- Steps performed after a machine learning model has been run to adjust its output. This can include adjusting a model's outputs or using a holdout dataset — data not used in the training of the model — to create a function run on the model's predictions to improve fairness or meet business requirements.
- §1
- Performed after training by accessing a holdout set that was not involved during the training of the model. If the algorithm can only treat the learned model as a black box without any ability to modify the training data or learning algorithm, then only post-processing can be used in which the labels assigned by the black-box model initially get reassigned based on a function during the post-processing phase.
Towards a Standard for Identifying and Managing Bias in Artificial Intelligence1 senseview framework →
- §1
- Typically performed with the help of a holdout dataset (data not used in the training of the model). Here, the learned model is treated as a black box and its predictions are altered by a function during the post-processing phase. The function is deduced from the performance of the black box model on the holdout dataset.
- §1 · legacy_primary
- Performed after training by accessing a holdout set that was not involved during the training of the model. If the algorithm can only treat the learned model as a black box without any ability to modify the training data or learning algorithm, then only post-processing can be used in which the labels assigned by the black-box model initially get reassigned based on a function during the post-processing phase.DR-088 backfill from the noun definition column
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