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README.md

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     ## Performance Metrics
 
-    - Training Time: 1.65 seconds
+    - Training Time: 1.55 seconds
     - Training MSE: 0.739313
     - Testing MSE: 0.762029
     - Training R²: 0.003906
     - Testing R²: -0.044366
 
+    ## Model Analysis
+
+    ### Predictions vs True Values
+    ![Predictions](./plots/predictions.png)
+
+    This plot shows how well the model's predictions match the true values:
+    - Points on the red line indicate perfect predictions
+    - Spread around the line shows prediction uncertainty
+    - Systematic deviations indicate bias
+
+    ### Error Distribution
+    ![Error Distribution](./plots/error_distribution.png)
+
+    This plot shows the distribution of prediction errors:
+    - Centered around zero indicates unbiased predictions
+    - Width shows prediction precision
+    - Shape reveals error patterns
+
+    ### Dimension-wise Performance
+    ![Dimension MSE](./plots/dimension_mse.png)
+
+    This plot shows the MSE for each embedding dimension:
+    - Lower bars indicate better predictions
+    - Variations show which dimensions are harder to predict
+    - Can guide targeted improvements
+
     ## Usage
 
     ```python