CI: Fix flaky test by using polynomial kernel

tests/test_survival_svm.py

@@ -530,21 +530,20 @@ def test_fit_and_predict_regression_rbf(make_whas500):
 
     @staticmethod
     @pytest.mark.slow()
-    @pytest.mark.filterwarnings("ignore:Optimization did not converge")
-    def test_fit_and_predict_hybrid_rbf(make_whas500):
+    def test_fit_and_predict_hybrid_polynomial(make_whas500):
         whas500 = make_whas500(to_numeric=True)
         ssvm = FastKernelSurvivalSVM(
-            optimizer="rbtree", rank_ratio=0.5, kernel="rbf",
+            optimizer="rbtree", rank_ratio=0.5, kernel="poly", coef0=1e-4, degree=2,
             max_iter=50, fit_intercept=True, random_state=0
         )
         ssvm.fit(whas500.x, whas500.y)
 
         assert not ssvm._get_tags()["pairwise"]
-        assert abs(5.0289145697617164 - ssvm.intercept_) <= 0.04
+        assert round(abs(6.105417583975533 - ssvm.intercept_), 5) == 0
 
         pred = ssvm.predict(whas500.x)
         rmse = np.sqrt(mean_squared_error(whas500.y['lenfol'], pred))
-        assert abs(880.20361811281487 - rmse) <= 75
+        assert round(abs(754.7810877051903 - rmse), 5) == 0
 
     @staticmethod
     @pytest.mark.slow()