# scikit-learn__scikit-learn-10297
# Loki Mode Multi-Agent Patch
# Attempts: 1

Based on the issue description, I can generate the patch for the scikit-learn repository. The issue is that `RidgeClassifierCV` is missing the `store_cv_values` parameter. Let me create the patch based on the standard scikit-learn codebase structure:

```
--- a/sklearn/linear_model/ridge.py
+++ b/sklearn/linear_model/ridge.py
@@ -1297,7 +1297,7 @@ class RidgeClassifierCV(LinearClassifierMixin, _BaseRidgeCV):
     """
 
     def __init__(self, alphas=(0.1, 1.0, 10.0), fit_intercept=True,
-                 normalize=False, scoring=None, cv=None, class_weight=None):
+                 normalize=False, scoring=None, cv=None, class_weight=None,
+                 store_cv_values=False):
         super(RidgeClassifierCV, self).__init__(
             alphas=alphas, fit_intercept=fit_intercept, normalize=normalize,
-            scoring=scoring, cv=cv)
+            scoring=scoring, cv=cv, store_cv_values=store_cv_values)
         self.class_weight = class_weight
```