README.md

metadata

title: California House Price Prediction
emoji: 🏠
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
license: mit

California House Price Prediction 🏠

Interactive demo for predicting California house prices using a Random Forest model.

How to Use

1. Adjust the sliders to set house features:

   • Location: Longitude and Latitude
   • Age: Housing median age
   • Size: Total rooms, bedrooms, population, households
   • Income: Median income in the area
   • Proximity: Distance to ocean

2. Click Submit to get the predicted house price

Model

This app uses the house-price-prediction model trained on California Housing dataset.

Features:

• Random Forest Regressor (scikit-learn)
• RMSE: ~$47,000-49,000
• Trained on 20,640 California districts

Examples

Try these sample inputs:

• Bay Area House: High median income, near bay location
• Inland House: Lower median income, inland location