diff --git a/src/main/java/be/cylab/java/wowa/training/MainTest.java b/src/main/java/be/cylab/java/wowa/training/MainTest.java
index 8a2f482f8d8191f2204adb06d67c54d7050597b5..925c9d9d648f85fb90e5ba6247abc92fe57fc228 100644
--- a/src/main/java/be/cylab/java/wowa/training/MainTest.java
+++ b/src/main/java/be/cylab/java/wowa/training/MainTest.java
@@ -65,13 +65,15 @@ public final class MainTest {
         System.out.println("Wowa training");
         HashMap<AbstractSolution, Double> map_wt = trainer.runKFold(folds, 10);
         long end_time = System.currentTimeMillis();
-        System.out.println("Execution time : " + (end_time - start_time) / 1000 + " seconds");
+        System.out.println("Execution time : " + (end_time - start_time) / 1000
+                + " seconds");
 
         start_time = System.currentTimeMillis();
         System.out.println("Neural Network learning");
         HashMap<MultiLayerNetwork, Double> map_nn = nn.runKFold(folds, 10);
         end_time = System.currentTimeMillis();
-        System.out.println("Execution time : " + (end_time - start_time) / 1000 + " seconds");
+        System.out.println("Execution time : " + (end_time - start_time) / 1000
+                + " seconds");
 
         double nn_score = 0.0;
         double wt_score = 0.0;
diff --git a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
index fc3d5135930e9a771aa157527d74deb356283ee2..35d6a1068444aa9f0321fb31029531690b6daeb5 100644
--- a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
+++ b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
@@ -138,7 +138,7 @@ public final class NeuralNetwork {
                     record_reader, 12468, FEATURES_COUNT, CLASSES_COUNT);
             DataSet all_data = iterator.next();
             //DataSet training_data
-            //        = prepareDataSetForTrainingAndTesting(all_data).getTrain();
+            //       = prepareDataSetForTrainingAndTesting(all_data).getTrain();
             return learning(all_data);
 
         } catch (IOException e) {
diff --git a/src/main/java/be/cylab/java/wowa/training/Trainer.java b/src/main/java/be/cylab/java/wowa/training/Trainer.java
index fda997a226203456ae52646316344c90eed31f35..87c45ff5245a0a732f92122a9b087ccf8437a575 100644
--- a/src/main/java/be/cylab/java/wowa/training/Trainer.java
+++ b/src/main/java/be/cylab/java/wowa/training/Trainer.java
@@ -162,7 +162,7 @@ public class Trainer {
      * @param increase_ratio
      * @return
      */
-    HashMap<AbstractSolution, Double> runKFold(
+    final HashMap<AbstractSolution, Double> runKFold(
             final List<TrainingDataset> prepared_folds,
             final int increase_ratio) {
         HashMap<AbstractSolution, Double> map = new HashMap<>();