This code is a machine learning project that aims to predict house prices based on various features using the California Housing dataset. The project employs the XGBoost regression model (XGBRegressor) to perform predictions and evaluate the model's accuracy using metrics like R-squared error and Mean Absolute Error.
active 2024-08-23 → 2024-08-23 (UTC)
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Line chart, 1 days from 2024-08-23 to 2024-08-23. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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