diff --git a/bayesnet/classifiers/Proposal.cc b/bayesnet/classifiers/Proposal.cc
index a5d5f12..6fce507 100644
--- a/bayesnet/classifiers/Proposal.cc
+++ b/bayesnet/classifiers/Proposal.cc
@@ -70,7 +70,7 @@ namespace bayesnet {
                 states[pFeatures[index]] = xStates;
             }
             const torch::Tensor weights = torch::full({ pDataset.size(1) }, 1.0 / pDataset.size(1), torch::kDouble);
-            model.fit(pDataset, weights, pFeatures, pClassName, states, Smoothing_t::OLD_LAPLACE);
+            model.fit(pDataset, weights, pFeatures, pClassName, states, Smoothing_t::ORIGINAL);
         }
         return states;
     }
diff --git a/bayesnet/network/Network.cc b/bayesnet/network/Network.cc
index d028bb6..b19a054 100644
--- a/bayesnet/network/Network.cc
+++ b/bayesnet/network/Network.cc
@@ -198,7 +198,7 @@ namespace bayesnet {
                 double numStates = static_cast<double>(node.second->getNumStates());
                 double smoothing_factor = 0.0;
                 switch (smoothing) {
-                    case Smoothing_t::OLD_LAPLACE:
+                    case Smoothing_t::ORIGINAL:
                         smoothing_factor = 1.0 / n_samples;
                         break;
                     case Smoothing_t::LAPLACE:
diff --git a/bayesnet/network/Network.h b/bayesnet/network/Network.h
index b3417cd..3485e64 100644
--- a/bayesnet/network/Network.h
+++ b/bayesnet/network/Network.h
@@ -14,7 +14,7 @@
 namespace bayesnet {
     enum class Smoothing_t {
         NONE = -1,
-        OLD_LAPLACE = 0,
+        ORIGINAL = 0,
         LAPLACE,
         CESTNIK
     };
diff --git a/tests/TestUtils.h b/tests/TestUtils.h
index b986278..652680b 100644
--- a/tests/TestUtils.h
+++ b/tests/TestUtils.h
@@ -33,7 +33,7 @@ public:
     bool discretize;
     int num_samples = 0;
     bool shuffle = false;
-    bayesnet::Smoothing_t smoothing = bayesnet::Smoothing_t::OLD_LAPLACE;
+    bayesnet::Smoothing_t smoothing = bayesnet::Smoothing_t::ORIGINAL;
 private:
     std::string to_string()
     {