diff --git a/lifelines/fitters/coxph_fitter.py b/lifelines/fitters/coxph_fitter.py
index c2ac8a63e..145752e4a 100644
--- a/lifelines/fitters/coxph_fitter.py
+++ b/lifelines/fitters/coxph_fitter.py
@@ -3222,7 +3222,6 @@ def predict_cumulative_hazard(self, df, times=None, conditional_after=None) -> p
             cumulative_hazard = pd.DataFrame()
 
             for stratum, stratified_X in df.groupby(self.strata):
-                print(self.params_)
                 log_lambdas_ = anp.array(
                     [0] + [self.params_.loc[self._strata_labeler(stratum, i)].iloc[0] for i in range(2, self.n_breakpoints + 2)]
                 )
diff --git a/lifelines/tests/test_estimation.py b/lifelines/tests/test_estimation.py
index 7f4e510e5..abf1d5f97 100644
--- a/lifelines/tests/test_estimation.py
+++ b/lifelines/tests/test_estimation.py
@@ -490,7 +490,6 @@ def test_cumulative_density_ci_is_ordered_correctly(self, positive_sample_lifeti
             if not hasattr(fitter, "confidence_interval_cumulative_density_"):
                 continue
             lower, upper = f"{fitter.label}_lower_0.95", f"{fitter.label}_upper_0.95"
-            print(fitter.confidence_interval_cumulative_density_)
             assert np.all(
                 (fitter.confidence_interval_cumulative_density_[upper] - fitter.confidence_interval_cumulative_density_[lower])
                 >= 0