index / mugenkyou/JEV-VS-ML
JEV-VS-ML
An independent, reproducible empirical benchmark comparing Jev 1.13.0 (a semantic classification LLM API) against 11 conventional machine learning pipelines across eight public NLP and tabular datasets under a declared compute and data budget.
Research and EvalsRoutingListedJupyter Notebook
Repository
Stars0
LanguageJupyter Notebook
LicenseMIT
Created2026-09-20
Last pushed2026-09-21
Officialno
Judgment
Genuine Jev project0.96
gate 0.5
Uses Jev at runtime0.91
Is a meta list0.04
Is a reimplementation0.07
Quality scales
Substance2.08 / 3
gate 0.5
Docs2.95 / 3
Novelty2.79 / 3
Composite score0.84
Category distribution
Research and Evals1.00
Integrations0.00
Games and Simulation0.00
Agent and Dev Tooling0.00
Learning0.00
SDKs and Clients0.00
Applications0.00
Other0.00
Assigned categoryResearch and Evals
Category probability1.00
Category confidence1.00
PatternRouting
Pattern confidence0.39
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:jev in:name,description,readme created:2026-09-20
- code:"api.typesafe.ai"
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-09-22 11:45 UTC