OMB Individually Reported
Survey Outlier Detection Model
Low riskExact public inventory row
Description
Anomalous or inaccurate values in surveys must be correctly identified and addressed to ensure high data quality.
Detailed example
The model outputs a recommendation of which data values should be re-examined for errors.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The use of this model reduces manual labor and improves data quality.
Controls / human review
ATO: No; PIA: Not published
Data needed
Synthetic structured data containing categorical and numerical values.