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rfc-002 cluster membership using log-odds scores #139

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ericbuckley opened this issue Nov 21, 2024 · 0 comments
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rfc-002 cluster membership using log-odds scores #139

ericbuckley opened this issue Nov 21, 2024 · 0 comments
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@alhayward
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documentation Improvements or additions to documentation spike Research or investigation into a technical issue

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ericbuckley commented Nov 21, 2024 •
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Description

Create an RFC that recommends updating the belongingness ratio calculation for determining match with median log odds scores. This change request should go into detail on why this is a better metric for determining cluster membership, what new "ratio" value users would be configuring in their business rules and how exactly this would be calculated when users select evaluation functions that don't use log-odds.

Background / Context

#18
@ericbuckley ericbuckley assigned alhayward and unassigned alhayward Nov 21, 2024
@ericbuckley ericbuckley added documentation Improvements or additions to documentation spike Research or investigation into a technical issue labels Nov 21, 2024
@ericbuckley ericbuckley changed the title rfc-002 long term possible match rfc-002 cluster membership using log-odds scores Nov 21, 2024
@alhayward alhayward mentioned this issue Jan 2, 2025
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alhayward added a commit that referenced this issue Jan 9, 2025
@alhayward @ericbuckley
docs(link): rfc-002 (#164)
b14c46e 
## Description
* Request for Change (RFC) for Possible Match with Log Odds Score
Threshold Range

## Related Issues
#139 

## Additional Notes
#18 

The language around the specific metric calculated from the distribution
of Log Odds Scores (e.g., median) is intentionally broad, in case the
Data Scientist on the DIBBs 4 Team would like to further experiment with
other metrics beyond median.

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Co-authored-by: Eric Buckley <[email protected]>
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@ericbuckley @alhayward @derekadombek