diff --git a/dsm020-cw2.ipynb b/dsm020-cw2.ipynb
index a45cba7cf1b1ad066744c979426fdbc8e502c07b..27f31f16b7740ff223be3acbdf612c66b51a900c 100644
--- a/dsm020-cw2.ipynb
+++ b/dsm020-cw2.ipynb
@@ -206,7 +206,9 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "7293fe1c-b150-4107-8e91-8c7aa0009bd4",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1091,7 +1093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 34,
    "id": "383ef232-6bbd-459a-a0dd-2370e934cb6d",
    "metadata": {
     "scrolled": true
@@ -1295,7 +1297,9 @@
     "\n",
     "Following data preprocessing, this study addressed the issue of class imbalance using the Synthetic Minority Over-sampling Technique (SMOTE) (Imbalanced-learn, n.d.). The dataset is divided into training and test sets, with SMOTE applied only to the training set to prevent data leakage. This results in two versions of the training data: one with SMOTE and one without.\n",
     "\n",
-    "Logistic Regression is trained on both versions of the training set using the built-in classification algorithm from Scikit-learn (Scikit-learn, n.d.), with the number of epochs set to the default value of 100 and L2 penalty. For evaluation, only out-of-sample (OOS) results are reported."
+    "Logistic Regression is trained on both versions of the training set using the built-in classification algorithm from Scikit-learn (Scikit-learn, n.d.), with the number of epochs set to the default value of 100 and L2 penalty. For evaluation, only out-of-sample (OOS) results are reported.\n",
+    "\n",
+    "The experiment was conducted locally on a Mac M1 (2020)."
    ]
   },
   {
@@ -1572,7 +1576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 50,
    "id": "90150dce-b9eb-4642-bc87-5b7feedd7466",
    "metadata": {},
    "outputs": [
@@ -1695,7 +1699,7 @@
      "text": [
       "......\n",
       "----------------------------------------------------------------------\n",
-      "Ran 6 tests in 0.012s\n",
+      "Ran 6 tests in 0.006s\n",
       "\n",
       "OK\n"
      ]
@@ -1923,7 +1927,7 @@
      "text": [
       "......\n",
       "----------------------------------------------------------------------\n",
-      "Ran 6 tests in 0.008s\n",
+      "Ran 6 tests in 0.007s\n",
       "\n",
       "OK\n"
      ]