diff --git a/code/data.ipynb b/code/data.ipynb
index da48c32..3d9da96 100644
--- a/code/data.ipynb
+++ b/code/data.ipynb
@@ -124,6 +124,18 @@
     "predictions[\"confidence\"] = [preds[i][np.argmax(preds[i])] for i in range(len(preds))]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_5_labels = [np.argsort(p)[::-1][:5] for p in preds]\n",
+    "top_5_labels = [[num_to_label[l] for l in p] for p in top_5_labels]\n",
+    "predictions[\"top_5\"] = top_5_labels\n",
+    "predictions['in_top_5'] = [true_labels[i] if true_labels[i] in top_5_labels[i] else true_labels[0] for i in range(len(true_labels))]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 43,
@@ -148,6 +160,29 @@
     "sns.heatmap(cm, annot=True, xticklabels=good_classes, yticklabels=good_classes, cmap='Blues');"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cm_top_5 = confusion_matrix(true_labels, predictions['in_top_5'], normalize='true')\n",
+    "# make seaborn heatmap\n",
+    "plt.figure(figsize=(10, 10))\n",
+    "sns.heatmap(cm_top_5, annot=True, xticklabels=good_classes, yticklabels=good_classes, cmap='Blues');"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/plots/top-5-cm.png b/plots/top-5-cm.png
new file mode 100644
index 0000000..558cf7e
Binary files /dev/null and b/plots/top-5-cm.png differ