diff --git a/hazardous/tests/test_survival_boost.py b/hazardous/tests/test_survival_boost.py
index b0749ce..e8b3518 100644
--- a/hazardous/tests/test_survival_boost.py
+++ b/hazardous/tests/test_survival_boost.py
@@ -70,6 +70,15 @@ def test_survival_boost_incidence_and_survival(seed):
 
 @pytest.mark.parametrize("seed", SEED_RANGE)
 def test_survival_boost_predict_proba(seed):
+    """Check the behaviour of the `predict_proba` method. Notably, we check:
+
+    - we raise an error when no `time_horizon` is set in the constructor nor
+      passed to `predict_proba`.
+    - we can pass `time_horizon` as a parameter to `predict_proba`.
+    - we can set `time_horizon` as a constructor parameter of `SurvivalBoost`.
+    - the `time_horizon` parameter passed to `predict_proba` is prioritized
+      over the constructor parameter.
+    """
     X, y = make_synthetic_competing_weibull(return_X_y=True, random_state=seed)
     assert sorted(y["event"].unique()) == [0, 1, 2, 3]
     n_events = 4
@@ -78,15 +87,12 @@ def test_survival_boost_predict_proba(seed):
     est = SurvivalBoost(n_iter=3, show_progressbar=False, random_state=seed)
     est.fit(X_train, y_train)
 
-    # Raise an error when `time_horizon` was not set in the constructor nor in
-    # passed to `predict_proba`.
     err_msg = (
         "The time_horizon parameter is required to use SurvivalBoost as a classifier."
     )
     with pytest.raises(ValueError, match=err_msg):
         est.predict_proba(X_test)
 
-    # Passing `time_horizon` as a parameter to `predict_proba`.
     time_horizon = 0
     y_pred = est.predict_proba(X_test, time_horizon=time_horizon)
     assert y_pred.shape == (n_events, X_test.shape[0], 1)
@@ -95,7 +101,6 @@ def test_survival_boost_predict_proba(seed):
     y_pred = est.predict_proba(X_test, time_horizon=time_horizon)
     assert y_pred.shape == (n_events, X_test.shape[0], len(time_horizon))
 
-    # Setting `time_horizon` as a constructor parameter of `SurvivalBoost`.
     time_horizon = 0
     est.set_params(time_horizon=time_horizon)
     y_pred = est.predict_proba(X_test)
@@ -106,8 +111,6 @@ def test_survival_boost_predict_proba(seed):
     y_pred = est.predict_proba(X_test)
     assert y_pred.shape == (n_events, X_test.shape[0], len(time_horizon))
 
-    # Check that passing `time_horizon` as a parameter to `predict_proba` is
-    # prioritized over the constructor parameter.
     time_horizon = [0, 10, 20]
     y_pred = est.predict_proba(X_test, time_horizon=time_horizon)
     assert y_pred.shape == (n_events, X_test.shape[0], len(time_horizon))