diff --git a/Term Project_ROC_curve_gridSearch.ipynb b/Term Project_ROC_curve_gridSearch.ipynb
index b3cfe18f49a8faf1181b5b6cddd05902ae3ef629..c22be5bb00c2dbca15aa63535fd90f277d22d761 100644
--- a/Term Project_ROC_curve_gridSearch.ipynb	
+++ b/Term Project_ROC_curve_gridSearch.ipynb	
@@ -364,7 +364,7 @@
     "    'min_child_samples' : [3,5,10,60],\n",
     "    'subsample' : [0,8,1]\n",
     "}\n",
-    "\n",
+    "# LGB는 과적합 문제가 발생할수 있기때문에 XG 또는 GB를 쓰는게 좋은데 GB가 성능이 더 좋았음. 더 빠르고 정확도도 높게측정됨.\n",
     "lgb = LGBMClassifier(max_depth=10,min_child_samples=5,subsample=1)\n",
     "# gb = GradientBoostingClassifier(n_estimators=150,max_depth=15,max_features='sqrt',min_samples_split=2)\n",
     "\n",
@@ -420,25 +420,7 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "42a427b05dc699488eb939cb1d668dede726ade6d352c61ed68be5c32fe8a360"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.8.5 64-bit ('base': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.5"
-  },
+  "language_info": {},
   "orig_nbformat": 3
  },
  "nbformat": 4,