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-**Root Mean Square Error (RMSE)**: Measures the average magnitude of error between the predicted and actual values, particularly useful for numeric features like `duration` and `step`. Lower RMSE values indicate more accurate predictions. It is calculated as:
-**Coefficient of Determination (R²)**: Evaluates the proportion of variance in the actual values explained by the model, R² values close to 1 indicate the model captures the underlying patterns well. It is calculated as:
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