diff --git a/SysInf.ipynb b/SysInf.ipynb
index 5aa3ad3..9f3f69c 100644
--- a/SysInf.ipynb
+++ b/SysInf.ipynb
@@ -2114,7 +2114,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_test = df_test.dropna()"
+    "df_test['rok'].fillna(df_test['rok'].mean(), inplace=True)"
    ]
   },
   {
@@ -2123,7 +2123,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_test = df_test.replace( \"więcej niż 10\", '11')"
+    "df_test = df_test.dropna()"
    ]
   },
   {
@@ -2131,6 +2131,15 @@
    "execution_count": 34,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "df_test = df_test.replace( \"więcej niż 10\", '11')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "df_test[\"pokoje\"] = df_test[\"pokoje\"].astype(float)\n",
     "df_test[\"metraz\"] = df_test[\"metraz\"].astype(float)"
@@ -2138,7 +2147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -2241,7 +2250,7 @@
        "max    6.000000e+06    11.000000   404.000000  2022.000000"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2259,7 +2268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2275,7 +2284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2285,7 +2294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2295,7 +2304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2311,7 +2320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2320,7 +2329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -2332,7 +2341,7 @@
        "LinearRegression()"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2350,7 +2359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2359,33 +2368,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
     "y_train_pred = model.predict(X_train)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.6264197107092035"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "r2_score(y_true=y_train, y_pred=y_train_pred)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 45,
@@ -2394,7 +2383,7 @@
     {
      "data": {
       "text/plain": [
-       "22930468691.882328"
+       "0.6264197107092035"
       ]
      },
      "execution_count": 45,
@@ -2403,7 +2392,7 @@
     }
    ],
    "source": [
-    "mean_squared_error(y_true=y_train, y_pred=y_train_pred)"
+    "r2_score(y_true=y_train, y_pred=y_train_pred)"
    ]
   },
   {
@@ -2414,7 +2403,7 @@
     {
      "data": {
       "text/plain": [
-       "74283.11238859448"
+       "22930468691.882328"
       ]
      },
      "execution_count": 46,
@@ -2422,39 +2411,39 @@
      "output_type": "execute_result"
     }
    ],
+   "source": [
+    "mean_squared_error(y_true=y_train, y_pred=y_train_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "74283.11238859448"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "mean_absolute_error(y_true=y_train, y_pred=y_train_pred)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
     "y_val_pred = model.predict(X_val)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.5872189061243203"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "r2_score(y_true=y_val, y_pred=y_val_pred)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 49,
@@ -2463,7 +2452,7 @@
     {
      "data": {
       "text/plain": [
-       "12603444942.321444"
+       "0.5872189061243203"
       ]
      },
      "execution_count": 49,
@@ -2472,7 +2461,7 @@
     }
    ],
    "source": [
-    "mean_squared_error(y_true=y_val, y_pred=y_val_pred)"
+    "r2_score(y_true=y_val, y_pred=y_val_pred)"
    ]
   },
   {
@@ -2483,7 +2472,7 @@
     {
      "data": {
       "text/plain": [
-       "68895.89161086899"
+       "12603444942.321444"
       ]
      },
      "execution_count": 50,
@@ -2491,6 +2480,26 @@
      "output_type": "execute_result"
     }
    ],
+   "source": [
+    "mean_squared_error(y_true=y_val, y_pred=y_val_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "68895.89161086899"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "mean_absolute_error(y_true=y_val, y_pred=y_val_pred)"
    ]
@@ -2504,7 +2513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2513,7 +2522,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -2555,39 +2564,39 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>634737.891029</td>\n",
+       "      <td>341889.696262</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>334716.539450</td>\n",
+       "      <td>330922.003962</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>287</th>\n",
-       "      <td>639199.416015</td>\n",
+       "      <th>413</th>\n",
+       "      <td>299103.486333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>288</th>\n",
-       "      <td>493459.955384</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>289</th>\n",
+       "      <th>414</th>\n",
        "      <td>343927.359472</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>290</th>\n",
+       "      <th>415</th>\n",
        "      <td>559751.151754</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>291</th>\n",
+       "      <th>416</th>\n",
+       "      <td>509598.699344</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>417</th>\n",
        "      <td>511183.577622</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>292 rows × 1 columns</p>\n",
+       "<p>418 rows × 1 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2595,19 +2604,19 @@
        "0    445999.679659\n",
        "1    391984.112513\n",
        "2    361680.683534\n",
-       "3    634737.891029\n",
-       "4    334716.539450\n",
+       "3    341889.696262\n",
+       "4    330922.003962\n",
        "..             ...\n",
-       "287  639199.416015\n",
-       "288  493459.955384\n",
-       "289  343927.359472\n",
-       "290  559751.151754\n",
-       "291  511183.577622\n",
+       "413  299103.486333\n",
+       "414  343927.359472\n",
+       "415  559751.151754\n",
+       "416  509598.699344\n",
+       "417  511183.577622\n",
        "\n",
-       "[292 rows x 1 columns]"
+       "[418 rows x 1 columns]"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2626,7 +2635,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2642,7 +2651,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
@@ -2673,7 +2682,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -2704,7 +2713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -2735,12 +2744,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2766,12 +2775,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2797,12 +2806,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2828,7 +2837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2840,7 +2849,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
@@ -2849,7 +2858,7 @@
        "184531.94"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2860,7 +2869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2886,7 +2895,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2895,7 +2904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2911,7 +2920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/geval b/geval
new file mode 100644
index 0000000..a24aaff
Binary files /dev/null and b/geval differ
diff --git a/test-A/out.tsv b/test-A/out.tsv
index 5c3d554..454e15a 100644
--- a/test-A/out.tsv
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