diff --git a/GAMA_AutoML_Tutorial.ipynb b/GAMA_AutoML_Tutorial.ipynb
index 1cbb73063d9e8e2debac5f648ac4a6a201145848..800dd5aea63c151ac5b45632a2536917399731d4 100644
--- a/GAMA_AutoML_Tutorial.ipynb
+++ b/GAMA_AutoML_Tutorial.ipynb
@@ -27,7 +27,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "481fae1c",
    "metadata": {},
@@ -58,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "bded45a9",
    "metadata": {},
    "outputs": [],
@@ -104,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "00a14ad0",
    "metadata": {},
    "outputs": [],
@@ -178,20 +177,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "a43e62f3",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Starting `fit` which will take roughly 3 minutes...\n",
-      "accuracy: 0.951048951048951\n",
-      "log loss: 0.13989498044372267\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from sklearn.datasets import load_breast_cancer\n",
     "from sklearn.model_selection import train_test_split\n",
@@ -214,6 +203,14 @@
     "print(\"log loss:\", log_loss(y_test, probability_predictions))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "1bfbb41b",
+   "metadata": {},
+   "source": [
+    "Some issues with the classifier receiving \"ValueError: population must be at least of size 3 for a pair to be selected\""
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "de9afff2",
@@ -226,19 +223,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "35f68b4c",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Starting `fit` which will take roughly 3 minutes...\n",
-      "MSE: 17.566521076771657\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from sklearn.datasets import load_boston\n",
     "from sklearn.model_selection import train_test_split\n",
@@ -285,7 +273,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -299,12 +287,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.0"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
-   }
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,