diff --git a/03_overfitting_and_cross_validation.ipynb b/03_overfitting_and_cross_validation.ipynb
index 96eadf7869e7d7623eb302230a2f3664b6f32439..3ff63af8b9904af27565a60ac2b0705542248318 100644
--- a/03_overfitting_and_cross_validation.ipynb
+++ b/03_overfitting_and_cross_validation.ipynb
@@ -669,19 +669,19 @@
     "\n",
     "- hold out `P1`: train the classifier on `P2 + P3 + P4`, compute accuracy `m1` on `P1`.\n",
     "\n",
-    "<img src=\"./images/cross_val_0.svg?2\" />\n",
+    "<img src=\"./images/cross_val_0.svg\" />\n",
     "\n",
     "-  hold out `P2`: train the classifier on `P1 + P3 + P4`, compute accuracy `m2` on `P2`.\n",
     "\n",
-    "<img src=\"./images/cross_val_1.svg?2\" />\n",
+    "<img src=\"./images/cross_val_1.svg\" />\n",
     "\n",
     "-  hold out `P3`: train the classifier on `P1 + P2 + P4`, compute accuray `m3` on `P3`.\n",
     "\n",
-    "<img src=\"./images/cross_val_2.svg?2\" />\n",
+    "<img src=\"./images/cross_val_2.svg\" />\n",
     "\n",
     "-  hold out `P4`: train the classifier on `P1 + P2 + P3`, compute accuracy `m4` on `P4`.\n",
     "\n",
-    "<img src=\"./images/cross_val_3.svg?2\" />\n",
+    "<img src=\"./images/cross_val_3.svg\" />\n",
     "\n",
     "Finally we can compute the average of `m1` .. `m4` as the final measure for accuracy.\n",
     "\n",
@@ -1804,7 +1804,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.7"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,
@@ -1844,5 +1844,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }