SignalMod / docs /RESULTS.es.md
Mirae Kang
feat: implement new models and improve UI, #23
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Resultados y comparativa

Catálogo demo: configs/model_catalog.yaml · Baselines: models/baseline/manifest.json

Modelo F1 (test, ponderado) Brecha train–test Por defecto
LR + TF-IDF (Baseline) 0,758 4,76 pp No
Frozen Toxic-BERT (Baseline) 0,790 0,16 pp No
Meta-Feature Stacking (Production) 0,805 2,54 pp

Guion: reports/HANDOVER_REPORT.md

Baselines

  • LR + TF-IDF: models/baseline/lr_tfidf.joblib
  • Frozen Toxic-BERT: Hub unitary/toxic-bert, informes en reports/golden_baseline/

Producción

uv run python -m src.experiments.notebook_14_final_stack

Requiere uv sync --extra hf.