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CaliforniaPrice
BinkyTwin/CaliforniaPrice
CaliforniaPrice is a machine learning model from BinkyTwin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as apache-2.0.
Modèle de prédiction des prix immobiliers en Californie utilisant Random Forest Regressor.
Access
Public
Updated Dec 19, 2025
Repo size
453 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pyc45.4 MB · 27%
At a glance
- Library
- sklearn
- License
- apache-2.0
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 19, 2025
- SHA
- 20034579
Model card
From the Hugging Face model README
California Housing Price Prediction Model
Modèle de prédiction des prix immobiliers en Californie utilisant Random Forest Regressor.
Performance
- Test RMSE: 46,834
- Test MAE: 31,292
- CV RMSE: 49,101
Utilisation
from huggingface_hub import hf_hub_download
import joblib
# Télécharger le modèle
model_path = hf_hub_download(repo_id="BinkyTwin/CaliforniaPrice", filename="final_release.joblib")
model_data = joblib.load(model_path)
model = model_data["final_model"]
# Faire une prédiction
# Le modèle attend un DataFrame avec les colonnes suivantes:
# - longitude, latitude, housing_median_age, total_rooms, total_bedrooms
# - population, households, median_income, ocean_proximity
# - rooms_per_household, bedrooms_per_room, population_per_household
Métadonnées
- Scikit-learn version: 1.8.0
- Python version: 3.13.9
- Random state: 42
- Library
- sklearn
- License
- apache-2.0
- Created
- Dec 14, 2025
- Updated
- Dec 19, 2025