diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 2a3d948..d9d9e33 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -5,10 +5,8 @@
   </component>
   <component name="ChangeListManager">
     <list default="true" id="53d2c8fc-09f6-4596-950a-66eac2662d99" name="Changes" comment="">
-      <change afterPath="$PROJECT_DIR$/experiment-8.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/multilayer-perceptron.py" beforeDir="false" afterPath="$PROJECT_DIR$/multilayer-perceptron.py" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/results/MLP-output.png" beforeDir="false" afterPath="$PROJECT_DIR$/results/MLP-output.png" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
diff --git a/multilayer-perceptron.py b/multilayer-perceptron.py
index 9bc2df8..a265217 100644
--- a/multilayer-perceptron.py
+++ b/multilayer-perceptron.py
@@ -119,23 +119,23 @@ class MLP:
 
     def plot_graph(self, train_losses, val_accuracies):
         if not os.path.exists('results'):
-            os.makedirs('results')
+            os.makedirs('results') # creates results director
 
-        fig, ax1 = plt.subplots()
+        fig, ax1 = plt.subplots() # initializes the plot
 
         ax1.set_xlabel('Epochs')
         ax1.set_ylabel('Training Loss', color='tab:blue')
         ax1.plot(range(1, len(train_losses) + 1), train_losses, color='tab:blue', label='Training Loss')
-        ax1.tick_params(axis='y', labelcolor='tab:blue')
+        ax1.tick_params(axis='y', labelcolor='tab:blue') # defines loss subplot
 
         ax2 = ax1.twinx()
         ax2.set_ylabel('Validation Accuracy', color='tab:orange')
         ax2.plot(range(1, len(val_accuracies) + 1), val_accuracies, color='tab:orange', label='Validation Accuracy')
-        ax2.tick_params(axis='y', labelcolor='tab:orange')
+        ax2.tick_params(axis='y', labelcolor='tab:orange') # defines accuracy subplot
 
         plt.title('Training Loss and Validation Accuracy over Epochs')
 
-        result_path = 'results/MLP-output.png'
+        result_path = 'results/MLP-output.png' # defines the file name
         fig.savefig(result_path)
         print(f"Graph saved to: {result_path}")