diff --git a/examples/model_selection.py b/examples/model_selection.py
index 485acd8..4e52784 100644
--- a/examples/model_selection.py
+++ b/examples/model_selection.py
@@ -46,8 +46,8 @@ with qp.util.temp_seed(0):
 
     tinit = time()
 
-    model = OLD_GridSearchQ(
-    # model = qp.model_selection.GridSearchQ(
+    # model = OLD_GridSearchQ(
+    model = qp.model_selection.GridSearchQ(
         model=model,
         param_grid=param_grid,
         protocol=protocol,
diff --git a/quapy/protocol.py b/quapy/protocol.py
index 7d7d1df..36362a9 100644
--- a/quapy/protocol.py
+++ b/quapy/protocol.py
@@ -257,8 +257,9 @@ class APP(AbstractStochasticSeededProtocol, OnLabelledCollectionProtocol):
         """
         dimensions = self.data.n_classes
         s = F.prevalence_linspace(self.n_prevalences, repeats=1, smooth_limits_epsilon=self.smooth_limits_epsilon)
+        eps = (s[1]-s[0])/2 # handling floating rounding
         s = [s] * (dimensions - 1)
-        prevs = [p for p in itertools.product(*s, repeat=1) if (sum(p) <= 1.0)]
+        prevs = [p for p in itertools.product(*s, repeat=1) if (sum(p) < (1.+eps))]
         prevs = np.asarray(prevs).reshape(len(prevs), -1)
         if self.repeats > 1:
             prevs = np.repeat(prevs, self.repeats, axis=0)