GitHub - sujanme25/CNN-RF-EC-XGB: This example illustrates a basic structure of combining a CNN model, a Random Forest model, and an XGBoost model for error compensation in a sequential manner. Further refinement and tuning are essential for optimizing performance based on your specific dataset and use case.

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This example illustrates a basic structure of combining a CNN model, a Random Forest model, and an XGBoost model for error compensation in a sequential manner. Further refinement and tuning are essential for optimizing performance based on your specific dataset and use case.