Update README.md

README.md

@@ -40,11 +40,11 @@ This model predicts above-ground biomass (AGB) in forest ecosystems using multi-
 
 ## Performance
 
-| Metric | Log Scale | Original Scale |
+| Metric |  Value |
 |--------|-----------|----------------|
-| R² | 0.87 | 0.83 |
-| RMSE | 0.32 log(Mg/ha) | 28.7 Mg/ha |
-| MAE | 0.25 log(Mg/ha) | 19.5 Mg/ha |
+| R² | 0.87 | 
+| RMSE |  28.7 Mg/ha |
+| MAE | 19.5 Mg/ha |
 
 ## Use Cases
 
@@ -116,7 +116,7 @@ python predict_biomass.py --help
 
 ## Full Training Pipeline
 
-The complete training pipeline, including data preprocessing, feature engineering, model training, and evaluation is available in our [GitHub repository](https://github.com/vertify/biomass-prediction-training). Please refer to the GitHub repository for detailed documentation on training your own biomass prediction models.
+The complete training pipeline, including data preprocessing, feature engineering, model training, and evaluation is available in our [GitHub repository](https://github.com/vertify-earth/biomass-dl-model-training). Please refer to the GitHub repository for detailed documentation on training your own biomass prediction models.
 
 ## Input Data Requirements