NASS Automated Editing Tool
Description
The purpose of this model is to determine if an answer on a survey is valid or invalid. If an answer is classified as invalid, a model will then suggest a corrected value.
Detailed example
The classification model outputs an excel sheet with the survey, person, variable, and whether the variable is valid or invalid. The regression model outputs an excel sheet containing the invalid records, which includes the survey, person, variable, original value, and new predicted value.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The main benefit is reducing labor hours on redundant data cleaning tasks. It could possibly increase the accuracy of National Agricultural Statistics Service data.
Controls / human review
ATO: Not reported; PIA: Not published