Update README.md

README.md

@@ -74,9 +74,9 @@ The model demonstrates high precision in predicting the severity score $S$, whic
 
 | Metric | Value | Interpretation |
 | :--- | :--- | :--- |
-| **RMSE** | 0.0312 | Low average error (0.03 units on 0-1 scale) |
-| **MAE** | 0.0247 | High predictive accuracy |
-| **R² Score** | 0.8067 | 80% of variance explained by features |
+| **RMSE** | 0.0156 | Low average error |
+| **MAE** | 0.0112 | High predictive accuracy |
+| **R² Score** | 0.9418 | 94% of variance explained by features |
 
 ### Feature Importance (Gain)
 The following ranking describes how much each feature contributes to the XGBoost tree construction: