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real-estate-xgboost
kkuc100/real-estate-xgboost
real-estate-xgboost is a machine learning model from kkuc100. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model predicts the median days a property is expected to stay on the market based on various features.
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 9, 2024
- Updated
- Oct 23, 2024
- SHA
- 07432799
Model card
From the Hugging Face model README
XGBoost Model for Predicting Median Days on Market
This model predicts the median days a property is expected to stay on the market based on various features.
Model Details
- Architecture: XGBoost
- Input Features:
- postal_code
- median_listing_price
- feature1
- feature2
Usage
import xgboost as xgb
# Load model
model = xgb.Booster()
model.load_model("xgb_model.json")
# Prepare your data in DMatrix format
data = xgb.DMatrix(data=your_data)
# Make predictions
predictions = model.predict(data)
- License
- mit
- Created
- Oct 9, 2024
- Updated
- Oct 23, 2024