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Jev project · Benchmarks & research

calibre

FirasSX914/Janus

Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.

View on GitHub ↗
`janus measure` replayed on the two datasets in this repository. On Banking77 it reaches 80.2% at threshold 0.67 -- bett
Demo from the project README · view README ↗
GitHub stars
2 as of 2026-09-22
Forks
0
Language
Python
License
MIT
Created
2026-09-17
Last updated on GitHub
2026-09-18
Added to AionEdge
2026-09-19
Built by this developer
Firas Ayadi

What Jev does in calibre

The project describes itself this way: Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions. In the Benchmarks & research category, Jev typically decides labels and probabilities on fixed test sets, so accuracy, calibration and latency can be measured.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

Topics

How Benchmarks & research projects use Jev

Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.

Also listed in: Routing & Cost Optimization.

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Where we found it