House Prices Demo Model

Model Details

• Framework: XGBoost 3.1.2
• Algorithm: Gradient Boosted Trees
• Training R² Score: 0.9997
• Test R² Score: 0.8734

Training Data

• Training samples: 800
• Test samples: 200
• Features: 10 (synthetic)

Usage

import pickle
with open('model.pkl', 'rb') as f:
    model = pickle.load(f)
predictions = model.predict(X_new)

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Packaged with KitOps