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README.md

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+
+    ---
+    library_name: sklearn
+    tags:
+      - sklearn
+      - regression
+      - embeddings
+      - weight-prediction
+      - ridge
+    model-index:
+      - name: Ridge Regression
+        results:
+          - task:
+              type: regression
+              name: Embedding Weight Prediction
+            metrics:
+              - type: mse
+                value: 0.752126161053798
+                name: Test MSE
+              - type: r2
+                value: -0.03790253867179685
+                name: Test R²
+    ---
+    # Ridge Regression Weight Predictor
+
+    Linear model with L2 regularization for handling multicollinearity
+
+    ## Performance Metrics
+
+    - Training Time: 16.09 seconds
+    - Training MSE: 0.460125
+    - Testing MSE: 0.752126
+    - Training R²: 0.384710
+    - Testing R²: -0.037903
+
+    ## Usage
+
+    ```python
+    import skops.io as sio
+
+    # Load the model
+    model = sio.load('weight_predictor_ridge.skops')
+
+    # Make predictions
+    weights = model.predict(question_embedding)
+    ```
+