diff --git a/Jenkinsfile b/Jenkinsfile
new file mode 100644
index 0000000..2e732b0
--- /dev/null
+++ b/Jenkinsfile
@@ -0,0 +1,11 @@
+pipeline {
+    agent any 
+    stages {
+        stage('Stage 1') {
+            steps {
+                echo 'Hello world!' 
+            }
+        }
+    }
+}
+
diff --git a/zad_02.ipynb b/zad_02.ipynb
index 6d91d57..98f78b5 100644
--- a/zad_02.ipynb
+++ b/zad_02.ipynb
@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "f5229180",
+   "id": "12dba44a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,7 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "2d3b5bee",
+   "id": "1d480e94",
    "metadata": {},
    "outputs": [
     {
@@ -31,8 +31,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "id": "fbbeb52d",
+   "execution_count": 41,
+   "id": "13a40d88",
    "metadata": {
     "scrolled": true
    },
@@ -225,7 +225,7 @@
        "[5001 rows x 8 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -237,7 +237,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1f9629f1",
+   "id": "51c05e9a",
    "metadata": {},
    "source": [
     "Wyczyści zbiór z artefaktów (np. puste linie, przykłady z niepoprawnymi wartościami)"
@@ -245,28 +245,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "id": "ad18b250",
+   "execution_count": 42,
+   "id": "c70571df",
    "metadata": {},
    "outputs": [],
    "source": [
     "def clean_data(data):\n",
     "    data.dropna(inplace=True)\n",
-    "\n",
-    "    # usuń wiersze z niepoprawnymi wartościami\n",
-    "    for col in data.columns:\n",
-    "        if data[col].dtype == float:\n",
-    "            data = data[(data[col] >= 0.0) & (data[col] <= 1.0)]\n",
-    "        elif data[col].dtype == int:\n",
-    "            data = data[(data[col] >= 0)]\n",
-    "\n",
     "    return data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "id": "8154dfd8",
+   "execution_count": 43,
+   "id": "0481b0dd",
    "metadata": {},
    "outputs": [
     {
@@ -301,17 +293,163 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>11.8</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>11.8</td>\n",
+       "      <td>6.3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>14.4</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.5</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4996</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.6</td>\n",
+       "      <td>5.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4997</th>\n",
+       "      <td>1</td>\n",
+       "      <td>11.9</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4998</th>\n",
+       "      <td>1</td>\n",
+       "      <td>12.9</td>\n",
+       "      <td>5.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4999</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.2</td>\n",
+       "      <td>6.2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5000</th>\n",
+       "      <td>1</td>\n",
+       "      <td>15.4</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5001 rows × 8 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [long_hair, forehead_width_cm, forehead_height_cm, nose_wide, nose_long, lips_thin, distance_nose_to_lip_long, gender]\n",
-       "Index: []"
+       "      long_hair  forehead_width_cm  forehead_height_cm  nose_wide  nose_long  \\\n",
+       "0             1               11.8                 6.1          1          0   \n",
+       "1             0               14.0                 5.4          0          0   \n",
+       "2             0               11.8                 6.3          1          1   \n",
+       "3             0               14.4                 6.1          0          1   \n",
+       "4             1               13.5                 5.9          0          0   \n",
+       "...         ...                ...                 ...        ...        ...   \n",
+       "4996          1               13.6                 5.1          0          0   \n",
+       "4997          1               11.9                 5.4          0          0   \n",
+       "4998          1               12.9                 5.7          0          0   \n",
+       "4999          1               13.2                 6.2          0          0   \n",
+       "5000          1               15.4                 5.4          1          1   \n",
+       "\n",
+       "      lips_thin  distance_nose_to_lip_long  gender  \n",
+       "0             1                          1    Male  \n",
+       "1             1                          0  Female  \n",
+       "2             1                          1    Male  \n",
+       "3             1                          1    Male  \n",
+       "4             0                          0  Female  \n",
+       "...         ...                        ...     ...  \n",
+       "4996          0                          0  Female  \n",
+       "4997          0                          0  Female  \n",
+       "4998          0                          0  Female  \n",
+       "4999          0                          0  Female  \n",
+       "5000          1                          1    Male  \n",
+       "\n",
+       "[5001 rows x 8 columns]"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -323,7 +461,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bd27b530",
+   "id": "717fab23",
    "metadata": {},
    "source": [
     "Dokona normalizacji danych w zbiorze (np. normalizacja wartości float do zakresu 0.0 - 1.0)"
@@ -331,8 +469,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "id": "b81c3005",
+   "execution_count": 44,
+   "id": "7fcacf03",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,8 +485,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "id": "611929ca",
+   "execution_count": 45,
+   "id": "bfd844ad",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -357,8 +495,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "id": "64724998",
+   "execution_count": 46,
+   "id": "2d0b8499",
    "metadata": {},
    "outputs": [
     {
@@ -393,17 +531,163 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.097561</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.634146</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.097561</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.731707</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.512195</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4996</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.536585</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4997</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.121951</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4998</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.365854</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4999</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.439024</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5000</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.975610</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5001 rows × 8 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [long_hair, forehead_width_cm, forehead_height_cm, nose_wide, nose_long, lips_thin, distance_nose_to_lip_long, gender]\n",
-       "Index: []"
+       "      long_hair  forehead_width_cm  forehead_height_cm  nose_wide  nose_long  \\\n",
+       "0             1           0.097561                0.50          1          0   \n",
+       "1             0           0.634146                0.15          0          0   \n",
+       "2             0           0.097561                0.60          1          1   \n",
+       "3             0           0.731707                0.50          0          1   \n",
+       "4             1           0.512195                0.40          0          0   \n",
+       "...         ...                ...                 ...        ...        ...   \n",
+       "4996          1           0.536585                0.00          0          0   \n",
+       "4997          1           0.121951                0.15          0          0   \n",
+       "4998          1           0.365854                0.30          0          0   \n",
+       "4999          1           0.439024                0.55          0          0   \n",
+       "5000          1           0.975610                0.15          1          1   \n",
+       "\n",
+       "      lips_thin  distance_nose_to_lip_long  gender  \n",
+       "0             1                          1    Male  \n",
+       "1             1                          0  Female  \n",
+       "2             1                          1    Male  \n",
+       "3             1                          1    Male  \n",
+       "4             0                          0  Female  \n",
+       "...         ...                        ...     ...  \n",
+       "4996          0                          0  Female  \n",
+       "4997          0                          0  Female  \n",
+       "4998          0                          0  Female  \n",
+       "4999          0                          0  Female  \n",
+       "5000          1                          1    Male  \n",
+       "\n",
+       "[5001 rows x 8 columns]"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -414,7 +698,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7013b00e",
+   "id": "61fbcddc",
    "metadata": {},
    "source": [
     "2. Jeśli brak w zbiorze gotowego podziału na podzbiory train/dev/test, to dokona takiego podziału"
@@ -422,8 +706,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "id": "9eb24b71",
+   "execution_count": 47,
+   "id": "dc386189",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -437,8 +721,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "id": "81d1cd62",
+   "execution_count": 48,
+   "id": "9f888962",
    "metadata": {},
    "outputs": [
     {
@@ -473,17 +757,163 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4432</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.512195</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2162</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.243902</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2396</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.512195</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4769</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.853659</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2271</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.292683</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>846</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.097561</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2551</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.243902</td>\n",
+       "      <td>0.35</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Male</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2928</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.634146</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.707317</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>645</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.195122</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Female</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>750 rows × 8 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [long_hair, forehead_width_cm, forehead_height_cm, nose_wide, nose_long, lips_thin, distance_nose_to_lip_long, gender]\n",
-       "Index: []"
+       "      long_hair  forehead_width_cm  forehead_height_cm  nose_wide  nose_long  \\\n",
+       "4432          1           0.512195                0.10          1          1   \n",
+       "2162          1           0.243902                0.70          1          1   \n",
+       "2396          1           0.512195                0.15          1          0   \n",
+       "4769          1           0.853659                0.10          1          1   \n",
+       "2271          1           0.292683                0.70          0          1   \n",
+       "...         ...                ...                 ...        ...        ...   \n",
+       "846           1           0.097561                0.45          1          1   \n",
+       "2551          0           0.243902                0.35          1          1   \n",
+       "2928          1           0.634146                0.20          0          0   \n",
+       "117           1           0.707317                0.50          0          0   \n",
+       "645           1           0.195122                0.05          1          0   \n",
+       "\n",
+       "      lips_thin  distance_nose_to_lip_long  gender  \n",
+       "4432          1                          1    Male  \n",
+       "2162          1                          1    Male  \n",
+       "2396          0                          0  Female  \n",
+       "4769          0                          1    Male  \n",
+       "2271          0                          0  Female  \n",
+       "...         ...                        ...     ...  \n",
+       "846           1                          1    Male  \n",
+       "2551          1                          1    Male  \n",
+       "2928          0                          0  Female  \n",
+       "117           0                          0  Female  \n",
+       "645           0                          0  Female  \n",
+       "\n",
+       "[750 rows x 8 columns]"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -494,8 +924,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "id": "851d9aa0",
+   "execution_count": 49,
+   "id": "4598cea1",
    "metadata": {},
    "outputs": [
     {
@@ -504,13 +934,13 @@
      "text": [
       "         long_hair  forehead_width_cm  forehead_height_cm    nose_wide  \\\n",
       "count  5001.000000        5001.000000         5001.000000  5001.000000   \n",
-      "mean      0.869626          13.181484            5.946311     0.493901   \n",
-      "std       0.336748           1.107128            0.541268     0.500013   \n",
-      "min       0.000000          11.400000            5.100000     0.000000   \n",
-      "25%       1.000000          12.200000            5.500000     0.000000   \n",
-      "50%       1.000000          13.100000            5.900000     0.000000   \n",
-      "75%       1.000000          14.000000            6.400000     1.000000   \n",
-      "max       1.000000          15.500000            7.100000     1.000000   \n",
+      "mean      0.869626           0.434508            0.423155     0.493901   \n",
+      "std       0.336748           0.270031            0.270634     0.500013   \n",
+      "min       0.000000           0.000000            0.000000     0.000000   \n",
+      "25%       1.000000           0.195122            0.200000     0.000000   \n",
+      "50%       1.000000           0.414634            0.400000     0.000000   \n",
+      "75%       1.000000           0.634146            0.650000     1.000000   \n",
+      "max       1.000000           1.000000            1.000000     1.000000   \n",
       "\n",
       "         nose_long    lips_thin  distance_nose_to_lip_long  \n",
       "count  5001.000000  5001.000000                5001.000000  \n",
@@ -523,13 +953,13 @@
       "max       1.000000     1.000000                   1.000000  \n",
       "         long_hair  forehead_width_cm  forehead_height_cm    nose_wide  \\\n",
       "count  3500.000000        3500.000000         3500.000000  3500.000000   \n",
-      "mean      0.870000          13.187686            5.951800     0.505714   \n",
-      "std       0.336351           1.109019            0.542695     0.500039   \n",
-      "min       0.000000          11.400000            5.100000     0.000000   \n",
-      "25%       1.000000          12.200000            5.500000     0.000000   \n",
-      "50%       1.000000          13.100000            5.900000     1.000000   \n",
-      "75%       1.000000          14.000000            6.400000     1.000000   \n",
-      "max       1.000000          15.500000            7.100000     1.000000   \n",
+      "mean      0.870000           0.436021            0.425900     0.505714   \n",
+      "std       0.336351           0.270492            0.271348     0.500039   \n",
+      "min       0.000000           0.000000            0.000000     0.000000   \n",
+      "25%       1.000000           0.195122            0.200000     0.000000   \n",
+      "50%       1.000000           0.414634            0.400000     1.000000   \n",
+      "75%       1.000000           0.634146            0.650000     1.000000   \n",
+      "max       1.000000           1.000000            1.000000     1.000000   \n",
       "\n",
       "         nose_long    lips_thin  distance_nose_to_lip_long  \n",
       "count  3500.000000  3500.000000                3500.000000  \n",
@@ -542,13 +972,13 @@
       "max       1.000000     1.000000                   1.000000  \n",
       "        long_hair  forehead_width_cm  forehead_height_cm   nose_wide  \\\n",
       "count  750.000000         750.000000          750.000000  750.000000   \n",
-      "mean     0.870667          13.119067            5.933867    0.472000   \n",
-      "std      0.335792           1.084345            0.538999    0.499549   \n",
-      "min      0.000000          11.400000            5.100000    0.000000   \n",
-      "25%      1.000000          12.200000            5.500000    0.000000   \n",
-      "50%      1.000000          13.100000            5.900000    0.000000   \n",
-      "75%      1.000000          14.000000            6.375000    1.000000   \n",
-      "max      1.000000          15.500000            7.100000    1.000000   \n",
+      "mean     0.870667           0.419285            0.416933    0.472000   \n",
+      "std      0.335792           0.264474            0.269500    0.499549   \n",
+      "min      0.000000           0.000000            0.000000    0.000000   \n",
+      "25%      1.000000           0.195122            0.200000    0.000000   \n",
+      "50%      1.000000           0.414634            0.400000    0.000000   \n",
+      "75%      1.000000           0.634146            0.637500    1.000000   \n",
+      "max      1.000000           1.000000            1.000000    1.000000   \n",
       "\n",
       "        nose_long   lips_thin  distance_nose_to_lip_long  \n",
       "count  750.000000  750.000000                 750.000000  \n",
@@ -561,13 +991,13 @@
       "max      1.000000    1.000000                   1.000000  \n",
       "        long_hair  forehead_width_cm  forehead_height_cm   nose_wide  \\\n",
       "count  751.000000         751.000000          751.000000  751.000000   \n",
-      "mean     0.866844          13.214913            5.933156    0.460719   \n",
-      "std      0.339969           1.119877            0.537134    0.498787   \n",
-      "min      0.000000          11.400000            5.100000    0.000000   \n",
-      "25%      1.000000          12.200000            5.500000    0.000000   \n",
-      "50%      1.000000          13.200000            5.900000    0.000000   \n",
-      "75%      1.000000          14.100000            6.300000    1.000000   \n",
-      "max      1.000000          15.500000            7.100000    1.000000   \n",
+      "mean     0.866844           0.442662            0.416578    0.460719   \n",
+      "std      0.339969           0.273141            0.268567    0.498787   \n",
+      "min      0.000000           0.000000            0.000000    0.000000   \n",
+      "25%      1.000000           0.195122            0.200000    0.000000   \n",
+      "50%      1.000000           0.439024            0.400000    0.000000   \n",
+      "75%      1.000000           0.658537            0.600000    1.000000   \n",
+      "max      1.000000           1.000000            1.000000    1.000000   \n",
       "\n",
       "        nose_long   lips_thin  distance_nose_to_lip_long  \n",
       "count  751.000000  751.000000                 751.000000  \n",
@@ -586,416 +1016,10 @@
     "    print( d.describe())"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "f52a79aa",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>long_hair</th>\n",
-       "      <th>forehead_width_cm</th>\n",
-       "      <th>forehead_height_cm</th>\n",
-       "      <th>nose_wide</th>\n",
-       "      <th>nose_long</th>\n",
-       "      <th>lips_thin</th>\n",
-       "      <th>distance_nose_to_lip_long</th>\n",
-       "      <th>gender</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1501</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.439024</td>\n",
-       "      <td>0.30</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2586</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.560976</td>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2653</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.365854</td>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1055</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.439024</td>\n",
-       "      <td>0.40</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>705</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.926829</td>\n",
-       "      <td>0.25</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2087</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.048780</td>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1889</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.048780</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4623</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.536585</td>\n",
-       "      <td>0.20</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1591</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.95</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1346</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.536585</td>\n",
-       "      <td>0.35</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>3500 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      long_hair  forehead_width_cm  forehead_height_cm  nose_wide  nose_long  \\\n",
-       "1501          1           0.439024                0.30          1          1   \n",
-       "2586          1           0.560976                0.45          0          0   \n",
-       "2653          0           0.365854                0.10          0          0   \n",
-       "1055          1           0.439024                0.40          1          1   \n",
-       "705           0           0.926829                0.25          1          1   \n",
-       "...         ...                ...                 ...        ...        ...   \n",
-       "2087          1           0.048780                0.45          0          1   \n",
-       "1889          1           0.048780                0.15          0          0   \n",
-       "4623          1           0.536585                0.20          0          0   \n",
-       "1591          1           1.000000                0.95          1          0   \n",
-       "1346          1           0.536585                0.35          0          0   \n",
-       "\n",
-       "      lips_thin  distance_nose_to_lip_long  gender  \n",
-       "1501          1                          1    Male  \n",
-       "2586          0                          0  Female  \n",
-       "2653          0                          1  Female  \n",
-       "1055          1                          1    Male  \n",
-       "705           1                          1    Male  \n",
-       "...         ...                        ...     ...  \n",
-       "2087          1                          0  Female  \n",
-       "1889          0                          0  Female  \n",
-       "4623          0                          0  Female  \n",
-       "1591          1                          0    Male  \n",
-       "1346          0                          0  Female  \n",
-       "\n",
-       "[3500 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "normalize_data(train)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "2653e41d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>long_hair</th>\n",
-       "      <th>forehead_width_cm</th>\n",
-       "      <th>forehead_height_cm</th>\n",
-       "      <th>nose_wide</th>\n",
-       "      <th>nose_long</th>\n",
-       "      <th>lips_thin</th>\n",
-       "      <th>distance_nose_to_lip_long</th>\n",
-       "      <th>gender</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1501</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.439024</td>\n",
-       "      <td>0.30</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2586</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.560976</td>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2653</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.365854</td>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1055</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.439024</td>\n",
-       "      <td>0.40</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>705</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.926829</td>\n",
-       "      <td>0.25</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2087</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.048780</td>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1889</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.048780</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4623</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.536585</td>\n",
-       "      <td>0.20</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1591</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.95</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Male</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1346</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.536585</td>\n",
-       "      <td>0.35</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Female</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>3500 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      long_hair  forehead_width_cm  forehead_height_cm  nose_wide  nose_long  \\\n",
-       "1501          1           0.439024                0.30          1          1   \n",
-       "2586          1           0.560976                0.45          0          0   \n",
-       "2653          0           0.365854                0.10          0          0   \n",
-       "1055          1           0.439024                0.40          1          1   \n",
-       "705           0           0.926829                0.25          1          1   \n",
-       "...         ...                ...                 ...        ...        ...   \n",
-       "2087          1           0.048780                0.45          0          1   \n",
-       "1889          1           0.048780                0.15          0          0   \n",
-       "4623          1           0.536585                0.20          0          0   \n",
-       "1591          1           1.000000                0.95          1          0   \n",
-       "1346          1           0.536585                0.35          0          0   \n",
-       "\n",
-       "      lips_thin  distance_nose_to_lip_long  gender  \n",
-       "1501          1                          1    Male  \n",
-       "2586          0                          0  Female  \n",
-       "2653          0                          1  Female  \n",
-       "1055          1                          1    Male  \n",
-       "705           1                          1    Male  \n",
-       "...         ...                        ...     ...  \n",
-       "2087          1                          0  Female  \n",
-       "1889          0                          0  Female  \n",
-       "4623          0                          0  Female  \n",
-       "1591          1                          0    Male  \n",
-       "1346          0                          0  Female  \n",
-       "\n",
-       "[3500 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clean_data(train)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bb1439e3",
+   "id": "8fa84a56",
    "metadata": {},
    "outputs": [],
    "source": []