OMB Individually Reported

List Frame Deadwood Identification

Low riskExact public inventory row

Description

This model helps identify farms that may be out of business on the National Agricultural Statistics Service list. Parts of the model were used to create clear rules to identify these farms.

Detailed example

The output of the model was a probability score that a farm is out of business.

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 resulting list is more accurate and allows for smaller sample sizes, reducing the burden on respondents.

Controls / human review

ATO: Yes; PIA: Not published

Data needed

National Agricultural Statistics Service List frame and survey data, consisting of features put together to form profiles of farming operations, was used to train and validate the model.