| "Meta-Feature Stacking (Production)": | |
| type: meta_stack | |
| icon: "🏆" | |
| description: "Production model — frozen Toxic-BERT CLS + metadata + regularized LR meta-learner (Notebook 14)." | |
| speed: "~400ms CPU (first load downloads BERT)" | |
| accuracy: "F1 0.805" | |
| train_test_gap_pp: 2.54 | |
| recommended_threshold: 0.381 | |
| # display_banner: "Currently using: Meta-Feature Stacking (F1: 0.805, Gap: 2.54%)" | |
| model_path: models/production_final/meta_stack_final.joblib | |
| manifest_path: models/production_final/manifest.json | |
| frozen_bert_id: unitary/toxic-bert | |
| requires: "uv sync --extra hf; models/production_final/meta_stack_final.joblib" | |
| production_default: true | |
| "LR + TF-IDF (Baseline)": | |
| type: local | |
| icon: "⚡" | |
| description: "Esencial sklearn baseline — Optuna-tuned logistic regression on TF-IDF (Notebooks 01–03)." | |
| speed: "< 50ms" | |
| accuracy: "F1 0.758" | |
| train_test_gap_pp: 4.76 | |
| recommended_threshold: 0.5 | |
| model_path: models/baseline/lr_tfidf.joblib | |
| requires: "joblib only" | |
| "Frozen Toxic-BERT (Baseline)": | |
| type: hf_remote | |
| icon: "🧊" | |
| model_id: unitary/toxic-bert | |
| description: "Frozen pretrained Toxic-BERT inference only (Notebook 12 golden baseline)." | |
| speed: "~400ms CPU" | |
| accuracy: "F1 0.790" | |
| train_test_gap_pp: 0.16 | |
| recommended_threshold: 0.12 | |
| requires: "uv sync --extra hf" | |