Update README.md

README.md

@@ -83,7 +83,15 @@ This model is designed to classify hotel reviews based on their sentiment. It as
 | **Macro avg** | 0.61 | 0.61   | 0.61     | 8000    |
 | **Weighted avg** | 0.61 | 0.61 | 0.61     | 8000    |
  
-- **Cross-validation Scores**:
+### Cross-validation Scores:
 
-* Logistic Regression Cross-validation scores: [0.61463816, 0.609375, 0.62072368, 0.59703947, 0.59835526]
-* Logistic Regression Mean Cross-validation score: 0.6080
+| Metric                             | Value                                      |
+|------------------------------------|--------------------------------------------|
+| **Logistic Regression Cross-validation scores** | [0.61463816, 0.609375, 0.62072368, 0.59703947, 0.59835526] |
+| **Logistic Regression Mean Cross-validation score** | 0.6080                                     |
+
+## Limitations
+
+- The model performs well on extreme ratings (1 and 5 stars) but struggles with intermediate ratings (2, 3, and 4 stars).
+- The model was trained on the **TripAdvisor** dataset and may not generalize well to reviews from other sources or domains.
+- The model does not handle aspects like sarcasm or humor well, and shorter reviews may lead to less accurate predictions.