diff --git a/exercises/Jupyter notebook CVML.ipynb b/exercises/Jupyter notebook CVML.ipynb
index c547908..cb6245e 100644
--- a/exercises/Jupyter notebook CVML.ipynb	
+++ b/exercises/Jupyter notebook CVML.ipynb	
@@ -1859,13 +1859,7 @@
       "3/3 [==============================] - 0s 7ms/step - loss: 0.1287 - accuracy: 0.9773 - val_loss: 0.1429 - val_accuracy: 0.9744\n",
       "Epoch 58/200\n",
       "3/3 [==============================] - 0s 7ms/step - loss: 0.7361 - accuracy: 0.9773 - val_loss: 0.3757 - val_accuracy: 0.9744\n",
-      "Epoch 59/200\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 59/200\n",
       "3/3 [==============================] - 0s 7ms/step - loss: 0.5845 - accuracy: 0.9773 - val_loss: 0.0177 - val_accuracy: 1.0000\n",
       "Epoch 60/200\n",
       "3/3 [==============================] - 0s 7ms/step - loss: 0.2937 - accuracy: 0.9545 - val_loss: 0.0459 - val_accuracy: 0.9744\n",
@@ -2103,13 +2097,7 @@
       "3/3 [==============================] - 0s 7ms/step - loss: 0.1469 - accuracy: 0.9659 - val_loss: 0.0264 - val_accuracy: 0.9744\n",
       "Epoch 174/200\n",
       "3/3 [==============================] - 0s 8ms/step - loss: 0.4156 - accuracy: 0.9659 - val_loss: 0.1467 - val_accuracy: 0.9744\n",
-      "Epoch 175/200\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 175/200\n",
       "3/3 [==============================] - 0s 8ms/step - loss: 0.3312 - accuracy: 0.9659 - val_loss: 0.0123 - val_accuracy: 1.0000\n",
       "Epoch 176/200\n",
       "3/3 [==============================] - 0s 7ms/step - loss: 0.1016 - accuracy: 0.9659 - val_loss: 0.0146 - val_accuracy: 1.0000\n",
@@ -2309,7 +2297,8 @@
     "Hier wordt gekeken hoe accuraat de classification is.\n",
     "Een confusion_matrix is een matrix gevormd door te vergelijken met de test\n",
     "waardes en de voorspelde waardes. Kijken hoeveel er goed en hoeveel er fout \n",
-    "zijn voorspelt.\n",
+    "zijn voorspeld. We kunnen zien dat er 2 keer een fout gemaakt is bij \n",
+    "trainwaarde 2 en testwaarde 4.\n",
     "\"\"\"\n",
     "confusion_matrix(y_test_class, y_pred_class)"
    ]