Add rmse

granger_causality_testing.ipynb

@@ -7377,6 +7377,74 @@
     "print('MAE: ', round(mae,2))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Forecast accuracy of Walmart\n",
+      "RMSE:  10.5\n",
+      "MAE:  9.71\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ibnu/miniconda3/envs/py312/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning:\n",
+      "\n",
+      "'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "rmse = mean_squared_error(combined['walmart_pred'], combined['walmart'], squared=False)\n",
+    "mae = mean_absolute_error(combined['walmart_pred'], combined['walmart'])\n",
+    "\n",
+    "print('Forecast accuracy of Walmart')\n",
+    "print('RMSE: ', round(rmse,2))\n",
+    "print('MAE: ', round(mae,2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Forecast accuracy of Tesla\n",
+      "RMSE:  11.66\n",
+      "MAE:  9.66\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ibnu/miniconda3/envs/py312/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning:\n",
+      "\n",
+      "'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "rmse = mean_squared_error(combined['tesla_pred'], combined['tesla'], squared=False)\n",
+    "mae = mean_absolute_error(combined['tesla_pred'], combined['tesla'])\n",
+    "\n",
+    "print('Forecast accuracy of Tesla')\n",
+    "print('RMSE: ', round(rmse,2))\n",
+    "print('MAE: ', round(mae,2))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,