القائمة
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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| name | ml-model-eval-benchmark |
| description | Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions. |
Produce consistent model ranking outputs from metric-weighted evaluation inputs.
scripts/benchmark_models.py to generate benchmark outputs.references/benchmarking-guide.md for weighting and tie-break guidance.