diff --git a/evaluator.ipynb b/evaluator.ipynb
index 493a5b3792df3252e1e2df57a16e286525b14847..c6e61513a1ea1a1ff88286fa764f36f771de2175 100644
--- a/evaluator.ipynb
+++ b/evaluator.ipynb
@@ -313,31 +313,31 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>baseline_1</th>\n",
-       "      <td>1.563822</td>\n",
-       "      <td>1.787365</td>\n",
-       "      <td>0.046729</td>\n",
+       "      <td>1.517749</td>\n",
+       "      <td>1.745787</td>\n",
+       "      <td>0.056075</td>\n",
        "      <td>99.405607</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>baseline_2</th>\n",
-       "      <td>1.535869</td>\n",
-       "      <td>1.866364</td>\n",
-       "      <td>0.018692</td>\n",
+       "      <td>1.472806</td>\n",
+       "      <td>1.805674</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>429.942991</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>baseline_3</th>\n",
-       "      <td>0.871233</td>\n",
-       "      <td>1.081468</td>\n",
-       "      <td>0.037383</td>\n",
+       "      <td>0.868666</td>\n",
+       "      <td>1.076227</td>\n",
+       "      <td>0.093458</td>\n",
        "      <td>99.405607</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>baseline_4</th>\n",
-       "      <td>0.729477</td>\n",
-       "      <td>0.926489</td>\n",
-       "      <td>0.158879</td>\n",
-       "      <td>60.583178</td>\n",
+       "      <td>0.713063</td>\n",
+       "      <td>0.912046</td>\n",
+       "      <td>0.074766</td>\n",
+       "      <td>60.349533</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -345,10 +345,10 @@
       ],
       "text/plain": [
        "                 mae      rmse  hit_rate     novelty\n",
-       "baseline_1  1.563822  1.787365  0.046729   99.405607\n",
-       "baseline_2  1.535869  1.866364  0.018692  429.942991\n",
-       "baseline_3  0.871233  1.081468  0.037383   99.405607\n",
-       "baseline_4  0.729477  0.926489  0.158879   60.583178"
+       "baseline_1  1.517749  1.745787  0.056075   99.405607\n",
+       "baseline_2  1.472806  1.805674  0.000000  429.942991\n",
+       "baseline_3  0.868666  1.076227  0.093458   99.405607\n",
+       "baseline_4  0.713063  0.912046  0.074766   60.349533"
       ]
      },
      "execution_count": 4,
@@ -375,6 +375,24 @@
     "evaluation_report = create_evaluation_report(EvalConfig, sp_ratings, precomputed_dict, AVAILABLE_METRICS)\n",
     "export_evaluation_report(evaluation_report)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9fbf23fd",
+   "metadata": {},
+   "source": [
+    "Analyzing the provided data on different baselines, several observations can be made across various metrics.\n",
+    "\n",
+    "Firstly, looking at the Mean Absolute Error (MAE), baseline_4 stands out with the lowest value of 0.713063, indicating superior accuracy in predictions compared to the other baselines. Following closely behind is baseline_3 with a MAE of 0.868666, showcasing commendable precision in its predictions.\n",
+    "\n",
+    "Next, considering the Root Mean Square Error (RMSE), baseline_4 again exhibits the best performance with a value of 0.912046, suggesting minimal overall prediction errors. Baseline_3 maintains strong performance here as well, with an RMSE of 1.076227.\n",
+    "\n",
+    "Examining the Hit Rate, baseline_3 leads the pack with 9.35%, signifying a higher success rate in recommendations compared to the other baselines. Meanwhile, baseline_1 and baseline_4 show lower hit rates at 5.61% and 7.48% respectively.\n",
+    "\n",
+    "Lastly, looking at the Novelty metric, baseline_4 scores the lowest at 60.35, indicating that its recommendations are less novel or more conventional compared to the others. On the other hand, baseline_1 scores the highest in novelty at 99.41, implying that its recommendations are more diverse or less conventional.\n",
+    "\n",
+    "In summary, baseline_4 appears to excel in several metrics including MAE, RMSE, and maintaining relatively low novelty. Baseline_3 stands out with a higher hit rate, showcasing effectiveness in recommendation success. Baseline_2, despite not excelling in the other metrics, exhibits an exceptionally high novelty score, indicating a unique approach to recommendations compared to the rest."
+   ]
   }
  ],
  "metadata": {