Iris Random Forest Model

Modelo de ejemplo entrenado con el dataset Iris de scikit-learn y guardado como joblib.

Variables de entrada

  • sepal length (cm)
  • sepal width (cm)
  • petal length (cm)
  • petal width (cm)

Clases de salida

  • setosa
  • versicolor
  • virginica

Métrica principal

  • Accuracy: 0.9667

Uso rápido

from huggingface_hub import hf_hub_download
import joblib

model_path = hf_hub_download(repo_id="Kael1/iris-rf-joblib-demo", filename="model.joblib")
model = joblib.load(model_path)

Space relacionada

La interfaz del modelo estará disponible en: https://huggingface.co/spaces/Kael1/iris-rf-gradio-space

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Space using Kael1/iris-rf-joblib-demo 1