diff --git a/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp b/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp
index 25cb7bca9c..7c9fe6282f 100644
--- a/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp
+++ b/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp
@@ -309,6 +309,21 @@ void BINDING_FUNCTION(util::Params& params, util::Timers& timers)
   {
     model->Lambda() = lambda;
 
+    // Did we want training accuracy?
+    if (params.Has("print_training_accuracy"))
+    {
+      timers.Start("lr_prediction");
+      arma::Row<size_t> predictions;
+      model->Classify(regressors, predictions);
+
+      const size_t correct = arma::accu(predictions == responses);
+
+      Log::Info << correct << " of " << responses.n_elem << " correct on training"
+          << " set (" << (double(correct) / double(responses.n_elem) * 100) << ")."
+          << endl;
+      timers.Stop("lr_prediction");
+    }
+
     if (optimizerType == "sgd")
     {
       ens::SGD<> sgdOpt;
@@ -336,21 +351,6 @@ void BINDING_FUNCTION(util::Params& params, util::Timers& timers)
       timers.Stop("logistic_regression_optimization");
     }
   }
-
-  // Did we want training accuracy?
-  if (params.Has("training") && params.Has("print_training_accuracy"))
-  {
-    timers.Start("lr_prediction");
-    arma::Row<size_t> predictions;
-    model->Classify(regressors, predictions);
-
-    const size_t correct = arma::accu(predictions == responses);
-
-    Log::Info << correct << " of " << responses.n_elem << " correct on training"
-        << " set (" << (double(correct) / double(responses.n_elem) * 100) << ")."
-        << endl;
-    timers.Stop("lr_prediction");
-  }
   
   if (params.Has("test"))
   {