diff --git a/Classification/examples/Classification/example_random_forest.cpp b/Classification/examples/Classification/example_random_forest.cpp
index 44b5d3f8fc3..768350c7448 100644
--- a/Classification/examples/Classification/example_random_forest.cpp
+++ b/Classification/examples/Classification/example_random_forest.cpp
@@ -40,7 +40,7 @@ typedef Classification::Point_set_feature_generator<Kernel, Point_set, Pmap>
 int main (int argc, char** argv)
 {
   std::string filename (argc > 1 ? argv[1] : "data/b9_training.ply");
-  std::ifstream in (filename.c_str());
+  std::ifstream in (filename.c_str(), std::ios::binary);
   Point_set pts;
 
   std::cerr << "Reading input" << std::endl;
@@ -91,7 +91,7 @@ int main (int argc, char** argv)
   Classification::classify_with_graphcut<CGAL::Sequential_tag>
     (pts, pts.point_map(), labels, classifier,
      generator.neighborhood().k_neighbor_query(12),
-     0.2, 1, label_indices);
+     0.2f, 1, label_indices);
   t.stop();
   std::cerr << "Classification with graphcut done in " << t.time() << " second(s)" << std::endl;
 
diff --git a/Classification/include/CGAL/Classification/Random_forest_classifier.h b/Classification/include/CGAL/Classification/Random_forest_classifier.h
index 10844a3496e..596b8b8018a 100644
--- a/Classification/include/CGAL/Classification/Random_forest_classifier.h
+++ b/Classification/include/CGAL/Classification/Random_forest_classifier.h
@@ -135,7 +135,7 @@ public:
       {
         for (std::size_t f = 0; f < m_features.size(); ++ f)
           training_features.at<float>(int(index), int(f)) = m_features[f]->value(i);
-        training_labels.at<float>(int(index), 0) = ground_truth[i];
+        training_labels.at<float>(int(index), 0) = static_cast<float>(ground_truth[i]);
         ++ index;
       }