scikit-learn · lorentzenchr · Mar 17, 2023 · Feb 2, 2023 · Feb 2, 2023 · Mar 1, 2023
diff --git a/sklearn/linear_model/_ridge.py b/sklearn/linear_model/_ridge.py
@@ -962,8 +962,23 @@ class Ridge(MultiOutputMixin, RegressorMixin, _BaseRidge):
        For 'lbfgs' solver, the default value is 15000.

    tol : float, default=1e-4
-        Precision of the solution. Note that `tol` has no effect for solvers 'svd' and
-        'cholesky'.
+        The precision of the solution (`coef_`) is determined by `tol` which
+        specifies a different convergence criterion for each solver:
+
+        - 'svd': `tol` has no impact.
+
+        - 'cholesky': `tol` has no impact.
+
+        - 'sparse_cg': norm of residuals smaller than `tol`.
+
+        - 'lsqr': `tol` is set as atol and btol of scipy.sparse.linalg.lsqr,
+          which control the norm of the residual vector in terms of the norms of
+          matrix and coefficients.
+
+        - 'sag' and 'saga': relative change of coef smaller than `tol`.
+
+        - 'lbfgs': maximum of the absolute (projected) gradient=max|residuals|
+          smaller than `tol`.

        .. versionchanged:: 1.2
           Default value changed from 1e-3 to 1e-4 for consistency with other linear
@@ -1252,8 +1267,23 @@ class RidgeClassifier(_RidgeClassifierMixin, _BaseRidge):
        The default value is determined by scipy.sparse.linalg.

    tol : float, default=1e-4
-        Precision of the solution. Note that `tol` has no effect for solvers 'svd' and
-        'cholesky'.
+        The precision of the solution (`coef_`) is determined by `tol` which
+        specifies a different convergence criterion for each solver:
+
+        - 'svd': `tol` has no impact.
+
+        - 'cholesky': `tol` has no impact.
+
+        - 'sparse_cg': norm of residuals smaller than `tol`.
+
+        - 'lsqr': `tol` is set as atol and btol of scipy.sparse.linalg.lsqr,
+          which control the norm of the residual vector in terms of the norms of
+          matrix and coefficients.
+
+        - 'sag' and 'saga': relative change of coef smaller than `tol`.
+
+        - 'lbfgs': maximum of the absolute (projected) gradient=max|residuals|
+          smaller than `tol`.

        .. versionchanged:: 1.2
           Default value changed from 1e-3 to 1e-4 for consistency with other linear