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README.md

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+# XGBoost Regression Model
+
+This model is an XGBoost Regressor trained with GPU acceleration.
+
+## Model Details
+- **Model Type**: XGBoost Regressor
+- **Best Parameters**:
+  - colsample_bytree: 1
+  - learning_rate: 0.1
+  - max_depth: 3
+  - n_estimators: 300
+  - subsample: 1
+
+## Performance Metrics
+- MAE: 637.8083
+- MSE: 33597596.0758
+- RMSE: 5796.3433
+- R² Score: 0.8488

requirements.txt

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+scikit-learn>=1.0.0
+numpy>=1.20.0
+joblib>=1.0.0
+xgboost>=1.5.0

xgboost_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:070a8d8e17a53251e18c5c91de05588cd381fc13b3e67cf010c548d69409251d
+size 372408