| title: Iris Flower Classifier | |
| emoji: 🌺 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "5.0" | |
| app_file: app.py | |
| pinned: false | |
| license: cc0-1.0 | |
| # 🌺 Iris Flower Classifier | |
| Clasificador de flores Iris usando **XGBoost**, entrenado con el dataset | |
| [sims22/irisflowerdatasets](https://www.kaggle.com/datasets/sims22/irisflowerdatasets). | |
| ## Métricas | |
| | Métrica | Valor | | |
| |---------|-------| | |
| | Test Accuracy | 93.33% | | |
| | CV Accuracy (5-fold) | 94.00% ± 3.27% | | |
| ## Uso | |
| ```bash | |
| uv run python app.py | |
| ``` | |
| ## Estructura | |
| - `train.py` — Pipeline completo: EDA → Entrenamiento → Evaluación | |
| - `app.py` — Aplicación Gradio interactiva | |
| - `notebook_iris_xgboost.ipynb` — Notebook reproducible | |
| - `outputs/` — Gráficos de EDA y métricas | |