diff --git a/notebook/automl_lightgbm.ipynb b/notebook/automl_lightgbm.ipynb
index a661f1000..29ab0c9f3 100644
--- a/notebook/automl_lightgbm.ipynb
+++ b/notebook/automl_lightgbm.ipynb
@@ -122,7 +122,7 @@
    "source": [
     "settings = {\n",
     "    \"time_budget\": 240,  # total running time in seconds\n",
-    "    \"metric\": 'r2',  # primary metrics for regression can be chosen from: ['mae','mse','r2']\n",
+    "    \"metric\": 'r2',  # primary metrics for regression can be chosen from: ['mae','mse','r2','rmse','mape']\n",
     "    \"estimator_list\": ['lgbm'],  # list of ML learners; we tune lightgbm in this example\n",
     "    \"task\": 'regression',  # task type    \n",
     "    \"log_file_name\": 'houses_experiment.log',  # flaml log file\n",
@@ -977,7 +977,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.0"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/notebook/automl_xgboost.ipynb b/notebook/automl_xgboost.ipynb
index e5b41f167..7cabe86bc 100644
--- a/notebook/automl_xgboost.ipynb
+++ b/notebook/automl_xgboost.ipynb
@@ -121,7 +121,7 @@
    "source": [
     "settings = {\n",
     "    \"time_budget\": 120,  # total running time in seconds\n",
-    "    \"metric\": 'r2',  # primary metrics for regression can be chosen from: ['mae','mse','r2']\n",
+    "    \"metric\": 'r2',  # primary metrics for regression can be chosen from: ['mae','mse','r2','rmse','mape']\n",
     "    \"estimator_list\": ['xgboost'],  # list of ML learners; we tune xgboost in this example\n",
     "    \"task\": 'regression',  # task type    \n",
     "    \"log_file_name\": 'houses_experiment.log',  # flaml log file\n",