diff --git a/Classification/Breast_Cancer_Wisconsin.ipynb b/Classification/Breast_Cancer_Wisconsin.ipynb
new file mode 100644
index 0000000..6f7b4db
--- /dev/null
+++ b/Classification/Breast_Cancer_Wisconsin.ipynb
@@ -0,0 +1,2802 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bd00ebdc",
+   "metadata": {},
+   "source": [
+    "# Load Basic Libraries\n",
+    " Load some libaries to read and display the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "375f1a0c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b8760991",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>id</th>\n",
+       "      <th>diagnosis</th>\n",
+       "      <th>radius_mean</th>\n",
+       "      <th>texture_mean</th>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <th>area_mean</th>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <th>...</th>\n",
+       "      <th>texture_worst</th>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <th>area_worst</th>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "      <th>Unnamed: 32</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>842302</td>\n",
+       "      <td>M</td>\n",
+       "      <td>17.99</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>122.80</td>\n",
+       "      <td>1001.0</td>\n",
+       "      <td>0.11840</td>\n",
+       "      <td>0.27760</td>\n",
+       "      <td>0.3001</td>\n",
+       "      <td>0.14710</td>\n",
+       "      <td>...</td>\n",
+       "      <td>17.33</td>\n",
+       "      <td>184.60</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>0.1622</td>\n",
+       "      <td>0.6656</td>\n",
+       "      <td>0.7119</td>\n",
+       "      <td>0.2654</td>\n",
+       "      <td>0.4601</td>\n",
+       "      <td>0.11890</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>842517</td>\n",
+       "      <td>M</td>\n",
+       "      <td>20.57</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>132.90</td>\n",
+       "      <td>1326.0</td>\n",
+       "      <td>0.08474</td>\n",
+       "      <td>0.07864</td>\n",
+       "      <td>0.0869</td>\n",
+       "      <td>0.07017</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.41</td>\n",
+       "      <td>158.80</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>0.1238</td>\n",
+       "      <td>0.1866</td>\n",
+       "      <td>0.2416</td>\n",
+       "      <td>0.1860</td>\n",
+       "      <td>0.2750</td>\n",
+       "      <td>0.08902</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>84300903</td>\n",
+       "      <td>M</td>\n",
+       "      <td>19.69</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>130.00</td>\n",
+       "      <td>1203.0</td>\n",
+       "      <td>0.10960</td>\n",
+       "      <td>0.15990</td>\n",
+       "      <td>0.1974</td>\n",
+       "      <td>0.12790</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.53</td>\n",
+       "      <td>152.50</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>0.1444</td>\n",
+       "      <td>0.4245</td>\n",
+       "      <td>0.4504</td>\n",
+       "      <td>0.2430</td>\n",
+       "      <td>0.3613</td>\n",
+       "      <td>0.08758</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>84348301</td>\n",
+       "      <td>M</td>\n",
+       "      <td>11.42</td>\n",
+       "      <td>20.38</td>\n",
+       "      <td>77.58</td>\n",
+       "      <td>386.1</td>\n",
+       "      <td>0.14250</td>\n",
+       "      <td>0.28390</td>\n",
+       "      <td>0.2414</td>\n",
+       "      <td>0.10520</td>\n",
+       "      <td>...</td>\n",
+       "      <td>26.50</td>\n",
+       "      <td>98.87</td>\n",
+       "      <td>567.7</td>\n",
+       "      <td>0.2098</td>\n",
+       "      <td>0.8663</td>\n",
+       "      <td>0.6869</td>\n",
+       "      <td>0.2575</td>\n",
+       "      <td>0.6638</td>\n",
+       "      <td>0.17300</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>84358402</td>\n",
+       "      <td>M</td>\n",
+       "      <td>20.29</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>135.10</td>\n",
+       "      <td>1297.0</td>\n",
+       "      <td>0.10030</td>\n",
+       "      <td>0.13280</td>\n",
+       "      <td>0.1980</td>\n",
+       "      <td>0.10430</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16.67</td>\n",
+       "      <td>152.20</td>\n",
+       "      <td>1575.0</td>\n",
+       "      <td>0.1374</td>\n",
+       "      <td>0.2050</td>\n",
+       "      <td>0.4000</td>\n",
+       "      <td>0.1625</td>\n",
+       "      <td>0.2364</td>\n",
+       "      <td>0.07678</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 33 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         id diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
+       "0    842302         M        17.99         10.38          122.80     1001.0   \n",
+       "1    842517         M        20.57         17.77          132.90     1326.0   \n",
+       "2  84300903         M        19.69         21.25          130.00     1203.0   \n",
+       "3  84348301         M        11.42         20.38           77.58      386.1   \n",
+       "4  84358402         M        20.29         14.34          135.10     1297.0   \n",
+       "\n",
+       "   smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
+       "0          0.11840           0.27760          0.3001              0.14710   \n",
+       "1          0.08474           0.07864          0.0869              0.07017   \n",
+       "2          0.10960           0.15990          0.1974              0.12790   \n",
+       "3          0.14250           0.28390          0.2414              0.10520   \n",
+       "4          0.10030           0.13280          0.1980              0.10430   \n",
+       "\n",
+       "   ...  texture_worst  perimeter_worst  area_worst  smoothness_worst  \\\n",
+       "0  ...          17.33           184.60      2019.0            0.1622   \n",
+       "1  ...          23.41           158.80      1956.0            0.1238   \n",
+       "2  ...          25.53           152.50      1709.0            0.1444   \n",
+       "3  ...          26.50            98.87       567.7            0.2098   \n",
+       "4  ...          16.67           152.20      1575.0            0.1374   \n",
+       "\n",
+       "   compactness_worst  concavity_worst  concave points_worst  symmetry_worst  \\\n",
+       "0             0.6656           0.7119                0.2654          0.4601   \n",
+       "1             0.1866           0.2416                0.1860          0.2750   \n",
+       "2             0.4245           0.4504                0.2430          0.3613   \n",
+       "3             0.8663           0.6869                0.2575          0.6638   \n",
+       "4             0.2050           0.4000                0.1625          0.2364   \n",
+       "\n",
+       "   fractal_dimension_worst  Unnamed: 32  \n",
+       "0                  0.11890          NaN  \n",
+       "1                  0.08902          NaN  \n",
+       "2                  0.08758          NaN  \n",
+       "3                  0.17300          NaN  \n",
+       "4                  0.07678          NaN  \n",
+       "\n",
+       "[5 rows x 33 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"https://raw.githubusercontent.com/youronlydimwit/Data_ScienceUse_Cases/main/Classification/Data/Breast_Cancer_Wisconsin.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6eb25bbe",
+   "metadata": {},
+   "source": [
+    "# Preliminary check for missing values\n",
+    "Created a function to outputs a dataframe with columns:\n",
+    "- Column Name\n",
+    "- The Data type\n",
+    "- Count of missing data (Nulls)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "72bb3dcc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Missing data check function\n",
+    "def completeness_check(input_df):\n",
+    "    # Create a new DataFrame\n",
+    "    summary_df = pd.DataFrame(columns=['Column_Name', 'Data_Type', 'Missing_Data'])\n",
+    "\n",
+    "    # Fill in the data\n",
+    "    summary_df['Column_Name'] = input_df.columns\n",
+    "    summary_df['Data_Type'] = input_df.dtypes.values\n",
+    "    summary_df['Missing_Data'] = input_df.isnull().sum().values\n",
+    "\n",
+    "    return summary_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "dd4b5d0f",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>Column_Name</th>\n",
+       "      <th>Data_Type</th>\n",
+       "      <th>Missing_Data</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>id</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>diagnosis</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>radius_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>texture_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>perimeter_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>area_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>smoothness_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>compactness_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>concavity_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>concave points_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>symmetry_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>fractal_dimension_mean</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>radius_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>texture_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>perimeter_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>area_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>smoothness_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>compactness_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>concavity_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>concave points_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>symmetry_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>fractal_dimension_se</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>radius_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>texture_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>perimeter_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>area_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>smoothness_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>compactness_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>concavity_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>concave points_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>symmetry_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>fractal_dimension_worst</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Unnamed: 32</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>569</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Column_Name Data_Type  Missing_Data\n",
+       "0                        id     int64             0\n",
+       "1                 diagnosis    object             0\n",
+       "2               radius_mean   float64             0\n",
+       "3              texture_mean   float64             0\n",
+       "4            perimeter_mean   float64             0\n",
+       "5                 area_mean   float64             0\n",
+       "6           smoothness_mean   float64             0\n",
+       "7          compactness_mean   float64             0\n",
+       "8            concavity_mean   float64             0\n",
+       "9       concave points_mean   float64             0\n",
+       "10            symmetry_mean   float64             0\n",
+       "11   fractal_dimension_mean   float64             0\n",
+       "12                radius_se   float64             0\n",
+       "13               texture_se   float64             0\n",
+       "14             perimeter_se   float64             0\n",
+       "15                  area_se   float64             0\n",
+       "16            smoothness_se   float64             0\n",
+       "17           compactness_se   float64             0\n",
+       "18             concavity_se   float64             0\n",
+       "19        concave points_se   float64             0\n",
+       "20              symmetry_se   float64             0\n",
+       "21     fractal_dimension_se   float64             0\n",
+       "22             radius_worst   float64             0\n",
+       "23            texture_worst   float64             0\n",
+       "24          perimeter_worst   float64             0\n",
+       "25               area_worst   float64             0\n",
+       "26         smoothness_worst   float64             0\n",
+       "27        compactness_worst   float64             0\n",
+       "28          concavity_worst   float64             0\n",
+       "29     concave points_worst   float64             0\n",
+       "30           symmetry_worst   float64             0\n",
+       "31  fractal_dimension_worst   float64             0\n",
+       "32              Unnamed: 32   float64           569"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completeness_check(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d91cd816",
+   "metadata": {},
+   "source": [
+    "Just dropping unnecessary columns, for this context, it is column **'id'** and **'Unnamed:  32'**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6ce4e125",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We don't need these 2 columns\n",
+    "df = df.drop(['id','Unnamed: 32'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "35e3462f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>diagnosis</th>\n",
+       "      <th>radius_mean</th>\n",
+       "      <th>texture_mean</th>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <th>area_mean</th>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <th>symmetry_mean</th>\n",
+       "      <th>...</th>\n",
+       "      <th>radius_worst</th>\n",
+       "      <th>texture_worst</th>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <th>area_worst</th>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M</td>\n",
+       "      <td>17.99</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>122.80</td>\n",
+       "      <td>1001.0</td>\n",
+       "      <td>0.11840</td>\n",
+       "      <td>0.27760</td>\n",
+       "      <td>0.3001</td>\n",
+       "      <td>0.14710</td>\n",
+       "      <td>0.2419</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.38</td>\n",
+       "      <td>17.33</td>\n",
+       "      <td>184.60</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>0.1622</td>\n",
+       "      <td>0.6656</td>\n",
+       "      <td>0.7119</td>\n",
+       "      <td>0.2654</td>\n",
+       "      <td>0.4601</td>\n",
+       "      <td>0.11890</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.57</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>132.90</td>\n",
+       "      <td>1326.0</td>\n",
+       "      <td>0.08474</td>\n",
+       "      <td>0.07864</td>\n",
+       "      <td>0.0869</td>\n",
+       "      <td>0.07017</td>\n",
+       "      <td>0.1812</td>\n",
+       "      <td>...</td>\n",
+       "      <td>24.99</td>\n",
+       "      <td>23.41</td>\n",
+       "      <td>158.80</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>0.1238</td>\n",
+       "      <td>0.1866</td>\n",
+       "      <td>0.2416</td>\n",
+       "      <td>0.1860</td>\n",
+       "      <td>0.2750</td>\n",
+       "      <td>0.08902</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>M</td>\n",
+       "      <td>19.69</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>130.00</td>\n",
+       "      <td>1203.0</td>\n",
+       "      <td>0.10960</td>\n",
+       "      <td>0.15990</td>\n",
+       "      <td>0.1974</td>\n",
+       "      <td>0.12790</td>\n",
+       "      <td>0.2069</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.57</td>\n",
+       "      <td>25.53</td>\n",
+       "      <td>152.50</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>0.1444</td>\n",
+       "      <td>0.4245</td>\n",
+       "      <td>0.4504</td>\n",
+       "      <td>0.2430</td>\n",
+       "      <td>0.3613</td>\n",
+       "      <td>0.08758</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>M</td>\n",
+       "      <td>11.42</td>\n",
+       "      <td>20.38</td>\n",
+       "      <td>77.58</td>\n",
+       "      <td>386.1</td>\n",
+       "      <td>0.14250</td>\n",
+       "      <td>0.28390</td>\n",
+       "      <td>0.2414</td>\n",
+       "      <td>0.10520</td>\n",
+       "      <td>0.2597</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>26.50</td>\n",
+       "      <td>98.87</td>\n",
+       "      <td>567.7</td>\n",
+       "      <td>0.2098</td>\n",
+       "      <td>0.8663</td>\n",
+       "      <td>0.6869</td>\n",
+       "      <td>0.2575</td>\n",
+       "      <td>0.6638</td>\n",
+       "      <td>0.17300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.29</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>135.10</td>\n",
+       "      <td>1297.0</td>\n",
+       "      <td>0.10030</td>\n",
+       "      <td>0.13280</td>\n",
+       "      <td>0.1980</td>\n",
+       "      <td>0.10430</td>\n",
+       "      <td>0.1809</td>\n",
+       "      <td>...</td>\n",
+       "      <td>22.54</td>\n",
+       "      <td>16.67</td>\n",
+       "      <td>152.20</td>\n",
+       "      <td>1575.0</td>\n",
+       "      <td>0.1374</td>\n",
+       "      <td>0.2050</td>\n",
+       "      <td>0.4000</td>\n",
+       "      <td>0.1625</td>\n",
+       "      <td>0.2364</td>\n",
+       "      <td>0.07678</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
+       "0         M        17.99         10.38          122.80     1001.0   \n",
+       "1         M        20.57         17.77          132.90     1326.0   \n",
+       "2         M        19.69         21.25          130.00     1203.0   \n",
+       "3         M        11.42         20.38           77.58      386.1   \n",
+       "4         M        20.29         14.34          135.10     1297.0   \n",
+       "\n",
+       "   smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
+       "0          0.11840           0.27760          0.3001              0.14710   \n",
+       "1          0.08474           0.07864          0.0869              0.07017   \n",
+       "2          0.10960           0.15990          0.1974              0.12790   \n",
+       "3          0.14250           0.28390          0.2414              0.10520   \n",
+       "4          0.10030           0.13280          0.1980              0.10430   \n",
+       "\n",
+       "   symmetry_mean  ...  radius_worst  texture_worst  perimeter_worst  \\\n",
+       "0         0.2419  ...         25.38          17.33           184.60   \n",
+       "1         0.1812  ...         24.99          23.41           158.80   \n",
+       "2         0.2069  ...         23.57          25.53           152.50   \n",
+       "3         0.2597  ...         14.91          26.50            98.87   \n",
+       "4         0.1809  ...         22.54          16.67           152.20   \n",
+       "\n",
+       "   area_worst  smoothness_worst  compactness_worst  concavity_worst  \\\n",
+       "0      2019.0            0.1622             0.6656           0.7119   \n",
+       "1      1956.0            0.1238             0.1866           0.2416   \n",
+       "2      1709.0            0.1444             0.4245           0.4504   \n",
+       "3       567.7            0.2098             0.8663           0.6869   \n",
+       "4      1575.0            0.1374             0.2050           0.4000   \n",
+       "\n",
+       "   concave points_worst  symmetry_worst  fractal_dimension_worst  \n",
+       "0                0.2654          0.4601                  0.11890  \n",
+       "1                0.1860          0.2750                  0.08902  \n",
+       "2                0.2430          0.3613                  0.08758  \n",
+       "3                0.2575          0.6638                  0.17300  \n",
+       "4                0.1625          0.2364                  0.07678  \n",
+       "\n",
+       "[5 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4b2e562f",
+   "metadata": {},
+   "source": [
+    "# Reformatting\n",
+    "From the source, the data is assumed already cleaned. Then, the _float_ in this dataset is being reformatted as **#.##** format for easier reading."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b7eca327",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def format_float_columns(df):\n",
+    "    # Get columns with float64 dtype\n",
+    "    float_columns = df.select_dtypes(include='float64').columns\n",
+    "    \n",
+    "    # Format each column without changing the data type\n",
+    "    for col in float_columns:\n",
+    "        df[col] = df[col].round(2)\n",
+    "    \n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "adc5f2f3",
+   "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",
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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>diagnosis</th>\n",
+       "      <th>radius_mean</th>\n",
+       "      <th>texture_mean</th>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <th>area_mean</th>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <th>symmetry_mean</th>\n",
+       "      <th>...</th>\n",
+       "      <th>radius_worst</th>\n",
+       "      <th>texture_worst</th>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <th>area_worst</th>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M</td>\n",
+       "      <td>17.99</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>122.80</td>\n",
+       "      <td>1001.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.38</td>\n",
+       "      <td>17.33</td>\n",
+       "      <td>184.60</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>0.71</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>0.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.57</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>132.90</td>\n",
+       "      <td>1326.0</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>...</td>\n",
+       "      <td>24.99</td>\n",
+       "      <td>23.41</td>\n",
+       "      <td>158.80</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>M</td>\n",
+       "      <td>19.69</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>130.00</td>\n",
+       "      <td>1203.0</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.57</td>\n",
+       "      <td>25.53</td>\n",
+       "      <td>152.50</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>0.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>M</td>\n",
+       "      <td>11.42</td>\n",
+       "      <td>20.38</td>\n",
+       "      <td>77.58</td>\n",
+       "      <td>386.1</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>26.50</td>\n",
+       "      <td>98.87</td>\n",
+       "      <td>567.7</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.29</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>135.10</td>\n",
+       "      <td>1297.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>...</td>\n",
+       "      <td>22.54</td>\n",
+       "      <td>16.67</td>\n",
+       "      <td>152.20</td>\n",
+       "      <td>1575.0</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.08</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",
+       "      <td>...</td>\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",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>564</th>\n",
+       "      <td>M</td>\n",
+       "      <td>21.56</td>\n",
+       "      <td>22.39</td>\n",
+       "      <td>142.00</td>\n",
+       "      <td>1479.0</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.45</td>\n",
+       "      <td>26.40</td>\n",
+       "      <td>166.10</td>\n",
+       "      <td>2027.0</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.41</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>565</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.13</td>\n",
+       "      <td>28.25</td>\n",
+       "      <td>131.20</td>\n",
+       "      <td>1261.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.69</td>\n",
+       "      <td>38.25</td>\n",
+       "      <td>155.00</td>\n",
+       "      <td>1731.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>0.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>566</th>\n",
+       "      <td>M</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>28.08</td>\n",
+       "      <td>108.30</td>\n",
+       "      <td>858.1</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>18.98</td>\n",
+       "      <td>34.12</td>\n",
+       "      <td>126.70</td>\n",
+       "      <td>1124.0</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>0.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>567</th>\n",
+       "      <td>M</td>\n",
+       "      <td>20.60</td>\n",
+       "      <td>29.33</td>\n",
+       "      <td>140.10</td>\n",
+       "      <td>1265.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.35</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.74</td>\n",
+       "      <td>39.42</td>\n",
+       "      <td>184.60</td>\n",
+       "      <td>1821.0</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>0.41</td>\n",
+       "      <td>0.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>568</th>\n",
+       "      <td>B</td>\n",
+       "      <td>7.76</td>\n",
+       "      <td>24.54</td>\n",
+       "      <td>47.92</td>\n",
+       "      <td>181.0</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.46</td>\n",
+       "      <td>30.37</td>\n",
+       "      <td>59.16</td>\n",
+       "      <td>268.6</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>0.07</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>569 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
+       "0           M        17.99         10.38          122.80     1001.0   \n",
+       "1           M        20.57         17.77          132.90     1326.0   \n",
+       "2           M        19.69         21.25          130.00     1203.0   \n",
+       "3           M        11.42         20.38           77.58      386.1   \n",
+       "4           M        20.29         14.34          135.10     1297.0   \n",
+       "..        ...          ...           ...             ...        ...   \n",
+       "564         M        21.56         22.39          142.00     1479.0   \n",
+       "565         M        20.13         28.25          131.20     1261.0   \n",
+       "566         M        16.60         28.08          108.30      858.1   \n",
+       "567         M        20.60         29.33          140.10     1265.0   \n",
+       "568         B         7.76         24.54           47.92      181.0   \n",
+       "\n",
+       "     smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
+       "0               0.12              0.28            0.30                 0.15   \n",
+       "1               0.08              0.08            0.09                 0.07   \n",
+       "2               0.11              0.16            0.20                 0.13   \n",
+       "3               0.14              0.28            0.24                 0.11   \n",
+       "4               0.10              0.13            0.20                 0.10   \n",
+       "..               ...               ...             ...                  ...   \n",
+       "564             0.11              0.12            0.24                 0.14   \n",
+       "565             0.10              0.10            0.14                 0.10   \n",
+       "566             0.08              0.10            0.09                 0.05   \n",
+       "567             0.12              0.28            0.35                 0.15   \n",
+       "568             0.05              0.04            0.00                 0.00   \n",
+       "\n",
+       "     symmetry_mean  ...  radius_worst  texture_worst  perimeter_worst  \\\n",
+       "0             0.24  ...         25.38          17.33           184.60   \n",
+       "1             0.18  ...         24.99          23.41           158.80   \n",
+       "2             0.21  ...         23.57          25.53           152.50   \n",
+       "3             0.26  ...         14.91          26.50            98.87   \n",
+       "4             0.18  ...         22.54          16.67           152.20   \n",
+       "..             ...  ...           ...            ...              ...   \n",
+       "564           0.17  ...         25.45          26.40           166.10   \n",
+       "565           0.18  ...         23.69          38.25           155.00   \n",
+       "566           0.16  ...         18.98          34.12           126.70   \n",
+       "567           0.24  ...         25.74          39.42           184.60   \n",
+       "568           0.16  ...          9.46          30.37            59.16   \n",
+       "\n",
+       "     area_worst  smoothness_worst  compactness_worst  concavity_worst  \\\n",
+       "0        2019.0              0.16               0.67             0.71   \n",
+       "1        1956.0              0.12               0.19             0.24   \n",
+       "2        1709.0              0.14               0.42             0.45   \n",
+       "3         567.7              0.21               0.87             0.69   \n",
+       "4        1575.0              0.14               0.20             0.40   \n",
+       "..          ...               ...                ...              ...   \n",
+       "564      2027.0              0.14               0.21             0.41   \n",
+       "565      1731.0              0.12               0.19             0.32   \n",
+       "566      1124.0              0.11               0.31             0.34   \n",
+       "567      1821.0              0.16               0.87             0.94   \n",
+       "568       268.6              0.09               0.06             0.00   \n",
+       "\n",
+       "     concave points_worst  symmetry_worst  fractal_dimension_worst  \n",
+       "0                    0.27            0.46                     0.12  \n",
+       "1                    0.19            0.28                     0.09  \n",
+       "2                    0.24            0.36                     0.09  \n",
+       "3                    0.26            0.66                     0.17  \n",
+       "4                    0.16            0.24                     0.08  \n",
+       "..                    ...             ...                      ...  \n",
+       "564                  0.22            0.21                     0.07  \n",
+       "565                  0.16            0.26                     0.07  \n",
+       "566                  0.14            0.22                     0.08  \n",
+       "567                  0.26            0.41                     0.12  \n",
+       "568                  0.00            0.29                     0.07  \n",
+       "\n",
+       "[569 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "format_float_columns(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9aaef3a",
+   "metadata": {},
+   "source": [
+    "# Encoding\n",
+    "Since the labels to be predicted only has **M for Malignant** and **B for Benign**, we can encode it to become 0 and 1 respectively.\n",
+    "I also changed the type to float, so the data types are all the same type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "60870d9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>diagnosis</th>\n",
+       "      <th>radius_mean</th>\n",
+       "      <th>texture_mean</th>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <th>area_mean</th>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <th>symmetry_mean</th>\n",
+       "      <th>...</th>\n",
+       "      <th>radius_worst</th>\n",
+       "      <th>texture_worst</th>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <th>area_worst</th>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>17.99</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>122.8</td>\n",
+       "      <td>1001.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.38</td>\n",
+       "      <td>17.33</td>\n",
+       "      <td>184.6</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>0.71</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>0.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>20.57</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>132.9</td>\n",
+       "      <td>1326.0</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>...</td>\n",
+       "      <td>24.99</td>\n",
+       "      <td>23.41</td>\n",
+       "      <td>158.8</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>19.69</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>1203.0</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.57</td>\n",
+       "      <td>25.53</td>\n",
+       "      <td>152.5</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>0.09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
+       "0        0.0        17.99         10.38           122.8     1001.0   \n",
+       "1        0.0        20.57         17.77           132.9     1326.0   \n",
+       "2        0.0        19.69         21.25           130.0     1203.0   \n",
+       "\n",
+       "   smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
+       "0             0.12              0.28            0.30                 0.15   \n",
+       "1             0.08              0.08            0.09                 0.07   \n",
+       "2             0.11              0.16            0.20                 0.13   \n",
+       "\n",
+       "   symmetry_mean  ...  radius_worst  texture_worst  perimeter_worst  \\\n",
+       "0           0.24  ...         25.38          17.33            184.6   \n",
+       "1           0.18  ...         24.99          23.41            158.8   \n",
+       "2           0.21  ...         23.57          25.53            152.5   \n",
+       "\n",
+       "   area_worst  smoothness_worst  compactness_worst  concavity_worst  \\\n",
+       "0      2019.0              0.16               0.67             0.71   \n",
+       "1      1956.0              0.12               0.19             0.24   \n",
+       "2      1709.0              0.14               0.42             0.45   \n",
+       "\n",
+       "   concave points_worst  symmetry_worst  fractal_dimension_worst  \n",
+       "0                  0.27            0.46                     0.12  \n",
+       "1                  0.19            0.28                     0.09  \n",
+       "2                  0.24            0.36                     0.09  \n",
+       "\n",
+       "[3 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Replace 'M' with 0 and 'B' with 1 in the 'Column' column\n",
+    "df['diagnosis'] = df['diagnosis'].replace({'M': 0, 'B': 1})\n",
+    "df['diagnosis'] = df['diagnosis'].astype(float)\n",
+    "df.head(3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ecbe4b22",
+   "metadata": {},
+   "source": [
+    "Correct data type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "7e437274",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('float64')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['diagnosis'].dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b18b919",
+   "metadata": {},
+   "source": [
+    "Running a correlation matrix to get a glimpse of who's affecting who the most."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "2c3b26b6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>diagnosis</th>\n",
+       "      <th>radius_mean</th>\n",
+       "      <th>texture_mean</th>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <th>area_mean</th>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <th>symmetry_mean</th>\n",
+       "      <th>...</th>\n",
+       "      <th>radius_worst</th>\n",
+       "      <th>texture_worst</th>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <th>area_worst</th>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>diagnosis</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.730032</td>\n",
+       "      <td>-0.415185</td>\n",
+       "      <td>-0.742636</td>\n",
+       "      <td>-0.708984</td>\n",
+       "      <td>-0.330624</td>\n",
+       "      <td>-0.597576</td>\n",
+       "      <td>-0.695750</td>\n",
+       "      <td>-0.774410</td>\n",
+       "      <td>-0.333477</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.776453</td>\n",
+       "      <td>-0.456903</td>\n",
+       "      <td>-0.782914</td>\n",
+       "      <td>-0.733825</td>\n",
+       "      <td>-0.419661</td>\n",
+       "      <td>-0.590477</td>\n",
+       "      <td>-0.659345</td>\n",
+       "      <td>-0.791976</td>\n",
+       "      <td>-0.417123</td>\n",
+       "      <td>-0.322046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>radius_mean</th>\n",
+       "      <td>-0.730032</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.323777</td>\n",
+       "      <td>0.997856</td>\n",
+       "      <td>0.987361</td>\n",
+       "      <td>0.147104</td>\n",
+       "      <td>0.505622</td>\n",
+       "      <td>0.677041</td>\n",
+       "      <td>0.821646</td>\n",
+       "      <td>0.151195</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.969541</td>\n",
+       "      <td>0.297000</td>\n",
+       "      <td>0.965139</td>\n",
+       "      <td>0.941087</td>\n",
+       "      <td>0.119031</td>\n",
+       "      <td>0.413065</td>\n",
+       "      <td>0.527379</td>\n",
+       "      <td>0.741494</td>\n",
+       "      <td>0.164409</td>\n",
+       "      <td>0.009169</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>texture_mean</th>\n",
+       "      <td>-0.415185</td>\n",
+       "      <td>0.323777</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.329533</td>\n",
+       "      <td>0.321086</td>\n",
+       "      <td>-0.040419</td>\n",
+       "      <td>0.237019</td>\n",
+       "      <td>0.300536</td>\n",
+       "      <td>0.287618</td>\n",
+       "      <td>0.067193</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.352578</td>\n",
+       "      <td>0.912045</td>\n",
+       "      <td>0.358040</td>\n",
+       "      <td>0.343546</td>\n",
+       "      <td>0.075885</td>\n",
+       "      <td>0.278112</td>\n",
+       "      <td>0.300041</td>\n",
+       "      <td>0.293490</td>\n",
+       "      <td>0.105824</td>\n",
+       "      <td>0.113425</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>perimeter_mean</th>\n",
+       "      <td>-0.742636</td>\n",
+       "      <td>0.997856</td>\n",
+       "      <td>0.329533</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.986507</td>\n",
+       "      <td>0.183356</td>\n",
+       "      <td>0.556485</td>\n",
+       "      <td>0.716448</td>\n",
+       "      <td>0.849875</td>\n",
+       "      <td>0.186306</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.969476</td>\n",
+       "      <td>0.303038</td>\n",
+       "      <td>0.970387</td>\n",
+       "      <td>0.941550</td>\n",
+       "      <td>0.149530</td>\n",
+       "      <td>0.455370</td>\n",
+       "      <td>0.564315</td>\n",
+       "      <td>0.768429</td>\n",
+       "      <td>0.189385</td>\n",
+       "      <td>0.052794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>area_mean</th>\n",
+       "      <td>-0.708984</td>\n",
+       "      <td>0.987361</td>\n",
+       "      <td>0.321086</td>\n",
+       "      <td>0.986507</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.151671</td>\n",
+       "      <td>0.498038</td>\n",
+       "      <td>0.686308</td>\n",
+       "      <td>0.822500</td>\n",
+       "      <td>0.154603</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.962745</td>\n",
+       "      <td>0.287489</td>\n",
+       "      <td>0.959120</td>\n",
+       "      <td>0.959213</td>\n",
+       "      <td>0.122984</td>\n",
+       "      <td>0.389874</td>\n",
+       "      <td>0.512943</td>\n",
+       "      <td>0.719419</td>\n",
+       "      <td>0.143762</td>\n",
+       "      <td>0.006854</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>smoothness_mean</th>\n",
+       "      <td>-0.330624</td>\n",
+       "      <td>0.147104</td>\n",
+       "      <td>-0.040419</td>\n",
+       "      <td>0.183356</td>\n",
+       "      <td>0.151671</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.640292</td>\n",
+       "      <td>0.501956</td>\n",
+       "      <td>0.528881</td>\n",
+       "      <td>0.544531</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.189984</td>\n",
+       "      <td>0.022669</td>\n",
+       "      <td>0.215574</td>\n",
+       "      <td>0.182905</td>\n",
+       "      <td>0.777084</td>\n",
+       "      <td>0.461971</td>\n",
+       "      <td>0.420549</td>\n",
+       "      <td>0.483773</td>\n",
+       "      <td>0.391210</td>\n",
+       "      <td>0.498783</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>compactness_mean</th>\n",
+       "      <td>-0.597576</td>\n",
+       "      <td>0.505622</td>\n",
+       "      <td>0.237019</td>\n",
+       "      <td>0.556485</td>\n",
+       "      <td>0.498038</td>\n",
+       "      <td>0.640292</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.883729</td>\n",
+       "      <td>0.829022</td>\n",
+       "      <td>0.602728</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.534939</td>\n",
+       "      <td>0.247564</td>\n",
+       "      <td>0.589944</td>\n",
+       "      <td>0.509449</td>\n",
+       "      <td>0.559318</td>\n",
+       "      <td>0.864209</td>\n",
+       "      <td>0.815163</td>\n",
+       "      <td>0.813038</td>\n",
+       "      <td>0.508330</td>\n",
+       "      <td>0.681343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concavity_mean</th>\n",
+       "      <td>-0.695750</td>\n",
+       "      <td>0.677041</td>\n",
+       "      <td>0.300536</td>\n",
+       "      <td>0.716448</td>\n",
+       "      <td>0.686308</td>\n",
+       "      <td>0.501956</td>\n",
+       "      <td>0.883729</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.918687</td>\n",
+       "      <td>0.500739</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.688703</td>\n",
+       "      <td>0.298983</td>\n",
+       "      <td>0.729963</td>\n",
+       "      <td>0.676656</td>\n",
+       "      <td>0.446247</td>\n",
+       "      <td>0.755167</td>\n",
+       "      <td>0.883088</td>\n",
+       "      <td>0.859451</td>\n",
+       "      <td>0.409733</td>\n",
+       "      <td>0.513497</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concave points_mean</th>\n",
+       "      <td>-0.774410</td>\n",
+       "      <td>0.821646</td>\n",
+       "      <td>0.287618</td>\n",
+       "      <td>0.849875</td>\n",
+       "      <td>0.822500</td>\n",
+       "      <td>0.528881</td>\n",
+       "      <td>0.829022</td>\n",
+       "      <td>0.918687</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.460745</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.828401</td>\n",
+       "      <td>0.286828</td>\n",
+       "      <td>0.853642</td>\n",
+       "      <td>0.807978</td>\n",
+       "      <td>0.446157</td>\n",
+       "      <td>0.665741</td>\n",
+       "      <td>0.748687</td>\n",
+       "      <td>0.905058</td>\n",
+       "      <td>0.370446</td>\n",
+       "      <td>0.366058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>symmetry_mean</th>\n",
+       "      <td>-0.333477</td>\n",
+       "      <td>0.151195</td>\n",
+       "      <td>0.067193</td>\n",
+       "      <td>0.186306</td>\n",
+       "      <td>0.154603</td>\n",
+       "      <td>0.544531</td>\n",
+       "      <td>0.602728</td>\n",
+       "      <td>0.500739</td>\n",
+       "      <td>0.460745</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.189763</td>\n",
+       "      <td>0.084924</td>\n",
+       "      <td>0.222908</td>\n",
+       "      <td>0.181731</td>\n",
+       "      <td>0.424135</td>\n",
+       "      <td>0.474981</td>\n",
+       "      <td>0.432004</td>\n",
+       "      <td>0.428627</td>\n",
+       "      <td>0.698086</td>\n",
+       "      <td>0.427079</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fractal_dimension_mean</th>\n",
+       "      <td>0.027269</td>\n",
+       "      <td>-0.290001</td>\n",
+       "      <td>-0.080337</td>\n",
+       "      <td>-0.245096</td>\n",
+       "      <td>-0.260436</td>\n",
+       "      <td>0.556840</td>\n",
+       "      <td>0.506156</td>\n",
+       "      <td>0.301176</td>\n",
+       "      <td>0.142307</td>\n",
+       "      <td>0.411393</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.242125</td>\n",
+       "      <td>-0.051211</td>\n",
+       "      <td>-0.199454</td>\n",
+       "      <td>-0.218566</td>\n",
+       "      <td>0.451897</td>\n",
+       "      <td>0.410627</td>\n",
+       "      <td>0.305228</td>\n",
+       "      <td>0.148275</td>\n",
+       "      <td>0.283061</td>\n",
+       "      <td>0.701592</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>radius_se</th>\n",
+       "      <td>-0.567328</td>\n",
+       "      <td>0.678590</td>\n",
+       "      <td>0.275973</td>\n",
+       "      <td>0.691268</td>\n",
+       "      <td>0.732125</td>\n",
+       "      <td>0.277600</td>\n",
+       "      <td>0.497381</td>\n",
+       "      <td>0.631258</td>\n",
+       "      <td>0.699764</td>\n",
+       "      <td>0.304353</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.714872</td>\n",
+       "      <td>0.195092</td>\n",
+       "      <td>0.719492</td>\n",
+       "      <td>0.751431</td>\n",
+       "      <td>0.140187</td>\n",
+       "      <td>0.286572</td>\n",
+       "      <td>0.380110</td>\n",
+       "      <td>0.528842</td>\n",
+       "      <td>0.094549</td>\n",
+       "      <td>0.049351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>texture_se</th>\n",
+       "      <td>0.008299</td>\n",
+       "      <td>-0.097230</td>\n",
+       "      <td>0.386443</td>\n",
+       "      <td>-0.086669</td>\n",
+       "      <td>-0.066119</td>\n",
+       "      <td>0.059149</td>\n",
+       "      <td>0.044875</td>\n",
+       "      <td>0.075893</td>\n",
+       "      <td>0.025260</td>\n",
+       "      <td>0.126154</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.111592</td>\n",
+       "      <td>0.409071</td>\n",
+       "      <td>-0.102161</td>\n",
+       "      <td>-0.083078</td>\n",
+       "      <td>-0.073042</td>\n",
+       "      <td>-0.092846</td>\n",
+       "      <td>-0.070533</td>\n",
+       "      <td>-0.120938</td>\n",
+       "      <td>-0.127607</td>\n",
+       "      <td>-0.044761</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>perimeter_se</th>\n",
+       "      <td>-0.556055</td>\n",
+       "      <td>0.674109</td>\n",
+       "      <td>0.281590</td>\n",
+       "      <td>0.693069</td>\n",
+       "      <td>0.726564</td>\n",
+       "      <td>0.272183</td>\n",
+       "      <td>0.548665</td>\n",
+       "      <td>0.659685</td>\n",
+       "      <td>0.712066</td>\n",
+       "      <td>0.313482</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.697133</td>\n",
+       "      <td>0.200270</td>\n",
+       "      <td>0.720966</td>\n",
+       "      <td>0.730647</td>\n",
+       "      <td>0.125791</td>\n",
+       "      <td>0.340951</td>\n",
+       "      <td>0.418269</td>\n",
+       "      <td>0.552873</td>\n",
+       "      <td>0.108877</td>\n",
+       "      <td>0.083512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>area_se</th>\n",
+       "      <td>-0.548236</td>\n",
+       "      <td>0.735868</td>\n",
+       "      <td>0.259844</td>\n",
+       "      <td>0.744983</td>\n",
+       "      <td>0.800086</td>\n",
+       "      <td>0.222595</td>\n",
+       "      <td>0.456053</td>\n",
+       "      <td>0.617299</td>\n",
+       "      <td>0.690642</td>\n",
+       "      <td>0.226088</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.757372</td>\n",
+       "      <td>0.196496</td>\n",
+       "      <td>0.761213</td>\n",
+       "      <td>0.811408</td>\n",
+       "      <td>0.124392</td>\n",
+       "      <td>0.282682</td>\n",
+       "      <td>0.384820</td>\n",
+       "      <td>0.535417</td>\n",
+       "      <td>0.072572</td>\n",
+       "      <td>0.016228</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>smoothness_se</th>\n",
+       "      <td>0.012117</td>\n",
+       "      <td>-0.167456</td>\n",
+       "      <td>0.019777</td>\n",
+       "      <td>-0.149510</td>\n",
+       "      <td>-0.130192</td>\n",
+       "      <td>0.268150</td>\n",
+       "      <td>0.133392</td>\n",
+       "      <td>0.110590</td>\n",
+       "      <td>0.051658</td>\n",
+       "      <td>0.153937</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.152307</td>\n",
+       "      <td>-0.008034</td>\n",
+       "      <td>-0.136532</td>\n",
+       "      <td>-0.115951</td>\n",
+       "      <td>0.309111</td>\n",
+       "      <td>0.033085</td>\n",
+       "      <td>0.018581</td>\n",
+       "      <td>-0.027878</td>\n",
+       "      <td>-0.032829</td>\n",
+       "      <td>0.119089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>compactness_se</th>\n",
+       "      <td>-0.288713</td>\n",
+       "      <td>0.204341</td>\n",
+       "      <td>0.192029</td>\n",
+       "      <td>0.248683</td>\n",
+       "      <td>0.211126</td>\n",
+       "      <td>0.313043</td>\n",
+       "      <td>0.729164</td>\n",
+       "      <td>0.665217</td>\n",
+       "      <td>0.490719</td>\n",
+       "      <td>0.412566</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.202027</td>\n",
+       "      <td>0.146121</td>\n",
+       "      <td>0.256901</td>\n",
+       "      <td>0.196258</td>\n",
+       "      <td>0.221708</td>\n",
+       "      <td>0.672119</td>\n",
+       "      <td>0.633328</td>\n",
+       "      <td>0.477739</td>\n",
+       "      <td>0.271770</td>\n",
+       "      <td>0.574867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concavity_se</th>\n",
+       "      <td>-0.255041</td>\n",
+       "      <td>0.194151</td>\n",
+       "      <td>0.145536</td>\n",
+       "      <td>0.228160</td>\n",
+       "      <td>0.206659</td>\n",
+       "      <td>0.249132</td>\n",
+       "      <td>0.571996</td>\n",
+       "      <td>0.688883</td>\n",
+       "      <td>0.441037</td>\n",
+       "      <td>0.337796</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.187371</td>\n",
+       "      <td>0.102586</td>\n",
+       "      <td>0.227007</td>\n",
+       "      <td>0.187836</td>\n",
+       "      <td>0.172332</td>\n",
+       "      <td>0.491365</td>\n",
+       "      <td>0.662437</td>\n",
+       "      <td>0.443167</td>\n",
+       "      <td>0.199593</td>\n",
+       "      <td>0.445392</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concave points_se</th>\n",
+       "      <td>-0.329287</td>\n",
+       "      <td>0.325042</td>\n",
+       "      <td>0.153373</td>\n",
+       "      <td>0.353151</td>\n",
+       "      <td>0.322610</td>\n",
+       "      <td>0.282948</td>\n",
+       "      <td>0.558232</td>\n",
+       "      <td>0.582869</td>\n",
+       "      <td>0.522044</td>\n",
+       "      <td>0.312608</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.307288</td>\n",
+       "      <td>0.079999</td>\n",
+       "      <td>0.342227</td>\n",
+       "      <td>0.297057</td>\n",
+       "      <td>0.144157</td>\n",
+       "      <td>0.389143</td>\n",
+       "      <td>0.463453</td>\n",
+       "      <td>0.502092</td>\n",
+       "      <td>0.126508</td>\n",
+       "      <td>0.237510</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>symmetry_se</th>\n",
+       "      <td>0.025127</td>\n",
+       "      <td>-0.117235</td>\n",
+       "      <td>-0.017239</td>\n",
+       "      <td>-0.093748</td>\n",
+       "      <td>-0.084347</td>\n",
+       "      <td>0.216286</td>\n",
+       "      <td>0.236474</td>\n",
+       "      <td>0.178725</td>\n",
+       "      <td>0.098510</td>\n",
+       "      <td>0.446116</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.142188</td>\n",
+       "      <td>-0.094773</td>\n",
+       "      <td>-0.117920</td>\n",
+       "      <td>-0.123926</td>\n",
+       "      <td>-0.007047</td>\n",
+       "      <td>0.070591</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>-0.032924</td>\n",
+       "      <td>0.382952</td>\n",
+       "      <td>0.084610</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fractal_dimension_se</th>\n",
+       "      <td>-0.091669</td>\n",
+       "      <td>-0.009516</td>\n",
+       "      <td>0.079210</td>\n",
+       "      <td>0.027147</td>\n",
+       "      <td>0.002046</td>\n",
+       "      <td>0.278176</td>\n",
+       "      <td>0.496677</td>\n",
+       "      <td>0.427309</td>\n",
+       "      <td>0.260200</td>\n",
+       "      <td>0.333318</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.005759</td>\n",
+       "      <td>0.008842</td>\n",
+       "      <td>0.033505</td>\n",
+       "      <td>-0.000367</td>\n",
+       "      <td>0.167714</td>\n",
+       "      <td>0.381239</td>\n",
+       "      <td>0.363578</td>\n",
+       "      <td>0.203468</td>\n",
+       "      <td>0.098792</td>\n",
+       "      <td>0.522940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>radius_worst</th>\n",
+       "      <td>-0.776453</td>\n",
+       "      <td>0.969541</td>\n",
+       "      <td>0.352578</td>\n",
+       "      <td>0.969476</td>\n",
+       "      <td>0.962745</td>\n",
+       "      <td>0.189984</td>\n",
+       "      <td>0.534939</td>\n",
+       "      <td>0.688703</td>\n",
+       "      <td>0.828401</td>\n",
+       "      <td>0.189763</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.359925</td>\n",
+       "      <td>0.993707</td>\n",
+       "      <td>0.984014</td>\n",
+       "      <td>0.215895</td>\n",
+       "      <td>0.475348</td>\n",
+       "      <td>0.574562</td>\n",
+       "      <td>0.784946</td>\n",
+       "      <td>0.244034</td>\n",
+       "      <td>0.092952</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>texture_worst</th>\n",
+       "      <td>-0.456903</td>\n",
+       "      <td>0.297000</td>\n",
+       "      <td>0.912045</td>\n",
+       "      <td>0.303038</td>\n",
+       "      <td>0.287489</td>\n",
+       "      <td>0.022669</td>\n",
+       "      <td>0.247564</td>\n",
+       "      <td>0.298983</td>\n",
+       "      <td>0.286828</td>\n",
+       "      <td>0.084924</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.359925</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.365098</td>\n",
+       "      <td>0.345842</td>\n",
+       "      <td>0.225808</td>\n",
+       "      <td>0.361123</td>\n",
+       "      <td>0.367625</td>\n",
+       "      <td>0.358467</td>\n",
+       "      <td>0.234337</td>\n",
+       "      <td>0.214237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>perimeter_worst</th>\n",
+       "      <td>-0.782914</td>\n",
+       "      <td>0.965139</td>\n",
+       "      <td>0.358040</td>\n",
+       "      <td>0.970387</td>\n",
+       "      <td>0.959120</td>\n",
+       "      <td>0.215574</td>\n",
+       "      <td>0.589944</td>\n",
+       "      <td>0.729963</td>\n",
+       "      <td>0.853642</td>\n",
+       "      <td>0.222908</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.993707</td>\n",
+       "      <td>0.365098</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.977578</td>\n",
+       "      <td>0.235168</td>\n",
+       "      <td>0.528876</td>\n",
+       "      <td>0.618906</td>\n",
+       "      <td>0.813826</td>\n",
+       "      <td>0.269788</td>\n",
+       "      <td>0.137973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>area_worst</th>\n",
+       "      <td>-0.733825</td>\n",
+       "      <td>0.941087</td>\n",
+       "      <td>0.343546</td>\n",
+       "      <td>0.941550</td>\n",
+       "      <td>0.959213</td>\n",
+       "      <td>0.182905</td>\n",
+       "      <td>0.509449</td>\n",
+       "      <td>0.676656</td>\n",
+       "      <td>0.807978</td>\n",
+       "      <td>0.181731</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.984014</td>\n",
+       "      <td>0.345842</td>\n",
+       "      <td>0.977578</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.209064</td>\n",
+       "      <td>0.437727</td>\n",
+       "      <td>0.543774</td>\n",
+       "      <td>0.745090</td>\n",
+       "      <td>0.209443</td>\n",
+       "      <td>0.079535</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>smoothness_worst</th>\n",
+       "      <td>-0.419661</td>\n",
+       "      <td>0.119031</td>\n",
+       "      <td>0.075885</td>\n",
+       "      <td>0.149530</td>\n",
+       "      <td>0.122984</td>\n",
+       "      <td>0.777084</td>\n",
+       "      <td>0.559318</td>\n",
+       "      <td>0.446247</td>\n",
+       "      <td>0.446157</td>\n",
+       "      <td>0.424135</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.215895</td>\n",
+       "      <td>0.225808</td>\n",
+       "      <td>0.235168</td>\n",
+       "      <td>0.209064</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.563176</td>\n",
+       "      <td>0.513958</td>\n",
+       "      <td>0.542461</td>\n",
+       "      <td>0.486361</td>\n",
+       "      <td>0.608113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>compactness_worst</th>\n",
+       "      <td>-0.590477</td>\n",
+       "      <td>0.413065</td>\n",
+       "      <td>0.278112</td>\n",
+       "      <td>0.455370</td>\n",
+       "      <td>0.389874</td>\n",
+       "      <td>0.461971</td>\n",
+       "      <td>0.864209</td>\n",
+       "      <td>0.755167</td>\n",
+       "      <td>0.665741</td>\n",
+       "      <td>0.474981</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.475348</td>\n",
+       "      <td>0.361123</td>\n",
+       "      <td>0.528876</td>\n",
+       "      <td>0.437727</td>\n",
+       "      <td>0.563176</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.892859</td>\n",
+       "      <td>0.800307</td>\n",
+       "      <td>0.614717</td>\n",
+       "      <td>0.800823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concavity_worst</th>\n",
+       "      <td>-0.659345</td>\n",
+       "      <td>0.527379</td>\n",
+       "      <td>0.300041</td>\n",
+       "      <td>0.564315</td>\n",
+       "      <td>0.512943</td>\n",
+       "      <td>0.420549</td>\n",
+       "      <td>0.815163</td>\n",
+       "      <td>0.883088</td>\n",
+       "      <td>0.748687</td>\n",
+       "      <td>0.432004</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.574562</td>\n",
+       "      <td>0.367625</td>\n",
+       "      <td>0.618906</td>\n",
+       "      <td>0.543774</td>\n",
+       "      <td>0.513958</td>\n",
+       "      <td>0.892859</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.855035</td>\n",
+       "      <td>0.530509</td>\n",
+       "      <td>0.682274</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>concave points_worst</th>\n",
+       "      <td>-0.791976</td>\n",
+       "      <td>0.741494</td>\n",
+       "      <td>0.293490</td>\n",
+       "      <td>0.768429</td>\n",
+       "      <td>0.719419</td>\n",
+       "      <td>0.483773</td>\n",
+       "      <td>0.813038</td>\n",
+       "      <td>0.859451</td>\n",
+       "      <td>0.905058</td>\n",
+       "      <td>0.428627</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.784946</td>\n",
+       "      <td>0.358467</td>\n",
+       "      <td>0.813826</td>\n",
+       "      <td>0.745090</td>\n",
+       "      <td>0.542461</td>\n",
+       "      <td>0.800307</td>\n",
+       "      <td>0.855035</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.502487</td>\n",
+       "      <td>0.510454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>symmetry_worst</th>\n",
+       "      <td>-0.417123</td>\n",
+       "      <td>0.164409</td>\n",
+       "      <td>0.105824</td>\n",
+       "      <td>0.189385</td>\n",
+       "      <td>0.143762</td>\n",
+       "      <td>0.391210</td>\n",
+       "      <td>0.508330</td>\n",
+       "      <td>0.409733</td>\n",
+       "      <td>0.370446</td>\n",
+       "      <td>0.698086</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.244034</td>\n",
+       "      <td>0.234337</td>\n",
+       "      <td>0.269788</td>\n",
+       "      <td>0.209443</td>\n",
+       "      <td>0.486361</td>\n",
+       "      <td>0.614717</td>\n",
+       "      <td>0.530509</td>\n",
+       "      <td>0.502487</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.527177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fractal_dimension_worst</th>\n",
+       "      <td>-0.322046</td>\n",
+       "      <td>0.009169</td>\n",
+       "      <td>0.113425</td>\n",
+       "      <td>0.052794</td>\n",
+       "      <td>0.006854</td>\n",
+       "      <td>0.498783</td>\n",
+       "      <td>0.681343</td>\n",
+       "      <td>0.513497</td>\n",
+       "      <td>0.366058</td>\n",
+       "      <td>0.427079</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.092952</td>\n",
+       "      <td>0.214237</td>\n",
+       "      <td>0.137973</td>\n",
+       "      <td>0.079535</td>\n",
+       "      <td>0.608113</td>\n",
+       "      <td>0.800823</td>\n",
+       "      <td>0.682274</td>\n",
+       "      <td>0.510454</td>\n",
+       "      <td>0.527177</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>31 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         diagnosis  radius_mean  texture_mean  perimeter_mean  \\\n",
+       "diagnosis                 1.000000    -0.730032     -0.415185       -0.742636   \n",
+       "radius_mean              -0.730032     1.000000      0.323777        0.997856   \n",
+       "texture_mean             -0.415185     0.323777      1.000000        0.329533   \n",
+       "perimeter_mean           -0.742636     0.997856      0.329533        1.000000   \n",
+       "area_mean                -0.708984     0.987361      0.321086        0.986507   \n",
+       "smoothness_mean          -0.330624     0.147104     -0.040419        0.183356   \n",
+       "compactness_mean         -0.597576     0.505622      0.237019        0.556485   \n",
+       "concavity_mean           -0.695750     0.677041      0.300536        0.716448   \n",
+       "concave points_mean      -0.774410     0.821646      0.287618        0.849875   \n",
+       "symmetry_mean            -0.333477     0.151195      0.067193        0.186306   \n",
+       "fractal_dimension_mean    0.027269    -0.290001     -0.080337       -0.245096   \n",
+       "radius_se                -0.567328     0.678590      0.275973        0.691268   \n",
+       "texture_se                0.008299    -0.097230      0.386443       -0.086669   \n",
+       "perimeter_se             -0.556055     0.674109      0.281590        0.693069   \n",
+       "area_se                  -0.548236     0.735868      0.259844        0.744983   \n",
+       "smoothness_se             0.012117    -0.167456      0.019777       -0.149510   \n",
+       "compactness_se           -0.288713     0.204341      0.192029        0.248683   \n",
+       "concavity_se             -0.255041     0.194151      0.145536        0.228160   \n",
+       "concave points_se        -0.329287     0.325042      0.153373        0.353151   \n",
+       "symmetry_se               0.025127    -0.117235     -0.017239       -0.093748   \n",
+       "fractal_dimension_se     -0.091669    -0.009516      0.079210        0.027147   \n",
+       "radius_worst             -0.776453     0.969541      0.352578        0.969476   \n",
+       "texture_worst            -0.456903     0.297000      0.912045        0.303038   \n",
+       "perimeter_worst          -0.782914     0.965139      0.358040        0.970387   \n",
+       "area_worst               -0.733825     0.941087      0.343546        0.941550   \n",
+       "smoothness_worst         -0.419661     0.119031      0.075885        0.149530   \n",
+       "compactness_worst        -0.590477     0.413065      0.278112        0.455370   \n",
+       "concavity_worst          -0.659345     0.527379      0.300041        0.564315   \n",
+       "concave points_worst     -0.791976     0.741494      0.293490        0.768429   \n",
+       "symmetry_worst           -0.417123     0.164409      0.105824        0.189385   \n",
+       "fractal_dimension_worst  -0.322046     0.009169      0.113425        0.052794   \n",
+       "\n",
+       "                         area_mean  smoothness_mean  compactness_mean  \\\n",
+       "diagnosis                -0.708984        -0.330624         -0.597576   \n",
+       "radius_mean               0.987361         0.147104          0.505622   \n",
+       "texture_mean              0.321086        -0.040419          0.237019   \n",
+       "perimeter_mean            0.986507         0.183356          0.556485   \n",
+       "area_mean                 1.000000         0.151671          0.498038   \n",
+       "smoothness_mean           0.151671         1.000000          0.640292   \n",
+       "compactness_mean          0.498038         0.640292          1.000000   \n",
+       "concavity_mean            0.686308         0.501956          0.883729   \n",
+       "concave points_mean       0.822500         0.528881          0.829022   \n",
+       "symmetry_mean             0.154603         0.544531          0.602728   \n",
+       "fractal_dimension_mean   -0.260436         0.556840          0.506156   \n",
+       "radius_se                 0.732125         0.277600          0.497381   \n",
+       "texture_se               -0.066119         0.059149          0.044875   \n",
+       "perimeter_se              0.726564         0.272183          0.548665   \n",
+       "area_se                   0.800086         0.222595          0.456053   \n",
+       "smoothness_se            -0.130192         0.268150          0.133392   \n",
+       "compactness_se            0.211126         0.313043          0.729164   \n",
+       "concavity_se              0.206659         0.249132          0.571996   \n",
+       "concave points_se         0.322610         0.282948          0.558232   \n",
+       "symmetry_se              -0.084347         0.216286          0.236474   \n",
+       "fractal_dimension_se      0.002046         0.278176          0.496677   \n",
+       "radius_worst              0.962745         0.189984          0.534939   \n",
+       "texture_worst             0.287489         0.022669          0.247564   \n",
+       "perimeter_worst           0.959120         0.215574          0.589944   \n",
+       "area_worst                0.959213         0.182905          0.509449   \n",
+       "smoothness_worst          0.122984         0.777084          0.559318   \n",
+       "compactness_worst         0.389874         0.461971          0.864209   \n",
+       "concavity_worst           0.512943         0.420549          0.815163   \n",
+       "concave points_worst      0.719419         0.483773          0.813038   \n",
+       "symmetry_worst            0.143762         0.391210          0.508330   \n",
+       "fractal_dimension_worst   0.006854         0.498783          0.681343   \n",
+       "\n",
+       "                         concavity_mean  concave points_mean  symmetry_mean  \\\n",
+       "diagnosis                     -0.695750            -0.774410      -0.333477   \n",
+       "radius_mean                    0.677041             0.821646       0.151195   \n",
+       "texture_mean                   0.300536             0.287618       0.067193   \n",
+       "perimeter_mean                 0.716448             0.849875       0.186306   \n",
+       "area_mean                      0.686308             0.822500       0.154603   \n",
+       "smoothness_mean                0.501956             0.528881       0.544531   \n",
+       "compactness_mean               0.883729             0.829022       0.602728   \n",
+       "concavity_mean                 1.000000             0.918687       0.500739   \n",
+       "concave points_mean            0.918687             1.000000       0.460745   \n",
+       "symmetry_mean                  0.500739             0.460745       1.000000   \n",
+       "fractal_dimension_mean         0.301176             0.142307       0.411393   \n",
+       "radius_se                      0.631258             0.699764       0.304353   \n",
+       "texture_se                     0.075893             0.025260       0.126154   \n",
+       "perimeter_se                   0.659685             0.712066       0.313482   \n",
+       "area_se                        0.617299             0.690642       0.226088   \n",
+       "smoothness_se                  0.110590             0.051658       0.153937   \n",
+       "compactness_se                 0.665217             0.490719       0.412566   \n",
+       "concavity_se                   0.688883             0.441037       0.337796   \n",
+       "concave points_se              0.582869             0.522044       0.312608   \n",
+       "symmetry_se                    0.178725             0.098510       0.446116   \n",
+       "fractal_dimension_se           0.427309             0.260200       0.333318   \n",
+       "radius_worst                   0.688703             0.828401       0.189763   \n",
+       "texture_worst                  0.298983             0.286828       0.084924   \n",
+       "perimeter_worst                0.729963             0.853642       0.222908   \n",
+       "area_worst                     0.676656             0.807978       0.181731   \n",
+       "smoothness_worst               0.446247             0.446157       0.424135   \n",
+       "compactness_worst              0.755167             0.665741       0.474981   \n",
+       "concavity_worst                0.883088             0.748687       0.432004   \n",
+       "concave points_worst           0.859451             0.905058       0.428627   \n",
+       "symmetry_worst                 0.409733             0.370446       0.698086   \n",
+       "fractal_dimension_worst        0.513497             0.366058       0.427079   \n",
+       "\n",
+       "                         ...  radius_worst  texture_worst  perimeter_worst  \\\n",
+       "diagnosis                ...     -0.776453      -0.456903        -0.782914   \n",
+       "radius_mean              ...      0.969541       0.297000         0.965139   \n",
+       "texture_mean             ...      0.352578       0.912045         0.358040   \n",
+       "perimeter_mean           ...      0.969476       0.303038         0.970387   \n",
+       "area_mean                ...      0.962745       0.287489         0.959120   \n",
+       "smoothness_mean          ...      0.189984       0.022669         0.215574   \n",
+       "compactness_mean         ...      0.534939       0.247564         0.589944   \n",
+       "concavity_mean           ...      0.688703       0.298983         0.729963   \n",
+       "concave points_mean      ...      0.828401       0.286828         0.853642   \n",
+       "symmetry_mean            ...      0.189763       0.084924         0.222908   \n",
+       "fractal_dimension_mean   ...     -0.242125      -0.051211        -0.199454   \n",
+       "radius_se                ...      0.714872       0.195092         0.719492   \n",
+       "texture_se               ...     -0.111592       0.409071        -0.102161   \n",
+       "perimeter_se             ...      0.697133       0.200270         0.720966   \n",
+       "area_se                  ...      0.757372       0.196496         0.761213   \n",
+       "smoothness_se            ...     -0.152307      -0.008034        -0.136532   \n",
+       "compactness_se           ...      0.202027       0.146121         0.256901   \n",
+       "concavity_se             ...      0.187371       0.102586         0.227007   \n",
+       "concave points_se        ...      0.307288       0.079999         0.342227   \n",
+       "symmetry_se              ...     -0.142188      -0.094773        -0.117920   \n",
+       "fractal_dimension_se     ...     -0.005759       0.008842         0.033505   \n",
+       "radius_worst             ...      1.000000       0.359925         0.993707   \n",
+       "texture_worst            ...      0.359925       1.000000         0.365098   \n",
+       "perimeter_worst          ...      0.993707       0.365098         1.000000   \n",
+       "area_worst               ...      0.984014       0.345842         0.977578   \n",
+       "smoothness_worst         ...      0.215895       0.225808         0.235168   \n",
+       "compactness_worst        ...      0.475348       0.361123         0.528876   \n",
+       "concavity_worst          ...      0.574562       0.367625         0.618906   \n",
+       "concave points_worst     ...      0.784946       0.358467         0.813826   \n",
+       "symmetry_worst           ...      0.244034       0.234337         0.269788   \n",
+       "fractal_dimension_worst  ...      0.092952       0.214237         0.137973   \n",
+       "\n",
+       "                         area_worst  smoothness_worst  compactness_worst  \\\n",
+       "diagnosis                 -0.733825         -0.419661          -0.590477   \n",
+       "radius_mean                0.941087          0.119031           0.413065   \n",
+       "texture_mean               0.343546          0.075885           0.278112   \n",
+       "perimeter_mean             0.941550          0.149530           0.455370   \n",
+       "area_mean                  0.959213          0.122984           0.389874   \n",
+       "smoothness_mean            0.182905          0.777084           0.461971   \n",
+       "compactness_mean           0.509449          0.559318           0.864209   \n",
+       "concavity_mean             0.676656          0.446247           0.755167   \n",
+       "concave points_mean        0.807978          0.446157           0.665741   \n",
+       "symmetry_mean              0.181731          0.424135           0.474981   \n",
+       "fractal_dimension_mean    -0.218566          0.451897           0.410627   \n",
+       "radius_se                  0.751431          0.140187           0.286572   \n",
+       "texture_se                -0.083078         -0.073042          -0.092846   \n",
+       "perimeter_se               0.730647          0.125791           0.340951   \n",
+       "area_se                    0.811408          0.124392           0.282682   \n",
+       "smoothness_se             -0.115951          0.309111           0.033085   \n",
+       "compactness_se             0.196258          0.221708           0.672119   \n",
+       "concavity_se               0.187836          0.172332           0.491365   \n",
+       "concave points_se          0.297057          0.144157           0.389143   \n",
+       "symmetry_se               -0.123926         -0.007047           0.070591   \n",
+       "fractal_dimension_se      -0.000367          0.167714           0.381239   \n",
+       "radius_worst               0.984014          0.215895           0.475348   \n",
+       "texture_worst              0.345842          0.225808           0.361123   \n",
+       "perimeter_worst            0.977578          0.235168           0.528876   \n",
+       "area_worst                 1.000000          0.209064           0.437727   \n",
+       "smoothness_worst           0.209064          1.000000           0.563176   \n",
+       "compactness_worst          0.437727          0.563176           1.000000   \n",
+       "concavity_worst            0.543774          0.513958           0.892859   \n",
+       "concave points_worst       0.745090          0.542461           0.800307   \n",
+       "symmetry_worst             0.209443          0.486361           0.614717   \n",
+       "fractal_dimension_worst    0.079535          0.608113           0.800823   \n",
+       "\n",
+       "                         concavity_worst  concave points_worst  \\\n",
+       "diagnosis                      -0.659345             -0.791976   \n",
+       "radius_mean                     0.527379              0.741494   \n",
+       "texture_mean                    0.300041              0.293490   \n",
+       "perimeter_mean                  0.564315              0.768429   \n",
+       "area_mean                       0.512943              0.719419   \n",
+       "smoothness_mean                 0.420549              0.483773   \n",
+       "compactness_mean                0.815163              0.813038   \n",
+       "concavity_mean                  0.883088              0.859451   \n",
+       "concave points_mean             0.748687              0.905058   \n",
+       "symmetry_mean                   0.432004              0.428627   \n",
+       "fractal_dimension_mean          0.305228              0.148275   \n",
+       "radius_se                       0.380110              0.528842   \n",
+       "texture_se                     -0.070533             -0.120938   \n",
+       "perimeter_se                    0.418269              0.552873   \n",
+       "area_se                         0.384820              0.535417   \n",
+       "smoothness_se                   0.018581             -0.027878   \n",
+       "compactness_se                  0.633328              0.477739   \n",
+       "concavity_se                    0.662437              0.443167   \n",
+       "concave points_se               0.463453              0.502092   \n",
+       "symmetry_se                     0.035520             -0.032924   \n",
+       "fractal_dimension_se            0.363578              0.203468   \n",
+       "radius_worst                    0.574562              0.784946   \n",
+       "texture_worst                   0.367625              0.358467   \n",
+       "perimeter_worst                 0.618906              0.813826   \n",
+       "area_worst                      0.543774              0.745090   \n",
+       "smoothness_worst                0.513958              0.542461   \n",
+       "compactness_worst               0.892859              0.800307   \n",
+       "concavity_worst                 1.000000              0.855035   \n",
+       "concave points_worst            0.855035              1.000000   \n",
+       "symmetry_worst                  0.530509              0.502487   \n",
+       "fractal_dimension_worst         0.682274              0.510454   \n",
+       "\n",
+       "                         symmetry_worst  fractal_dimension_worst  \n",
+       "diagnosis                     -0.417123                -0.322046  \n",
+       "radius_mean                    0.164409                 0.009169  \n",
+       "texture_mean                   0.105824                 0.113425  \n",
+       "perimeter_mean                 0.189385                 0.052794  \n",
+       "area_mean                      0.143762                 0.006854  \n",
+       "smoothness_mean                0.391210                 0.498783  \n",
+       "compactness_mean               0.508330                 0.681343  \n",
+       "concavity_mean                 0.409733                 0.513497  \n",
+       "concave points_mean            0.370446                 0.366058  \n",
+       "symmetry_mean                  0.698086                 0.427079  \n",
+       "fractal_dimension_mean         0.283061                 0.701592  \n",
+       "radius_se                      0.094549                 0.049351  \n",
+       "texture_se                    -0.127607                -0.044761  \n",
+       "perimeter_se                   0.108877                 0.083512  \n",
+       "area_se                        0.072572                 0.016228  \n",
+       "smoothness_se                 -0.032829                 0.119089  \n",
+       "compactness_se                 0.271770                 0.574867  \n",
+       "concavity_se                   0.199593                 0.445392  \n",
+       "concave points_se              0.126508                 0.237510  \n",
+       "symmetry_se                    0.382952                 0.084610  \n",
+       "fractal_dimension_se           0.098792                 0.522940  \n",
+       "radius_worst                   0.244034                 0.092952  \n",
+       "texture_worst                  0.234337                 0.214237  \n",
+       "perimeter_worst                0.269788                 0.137973  \n",
+       "area_worst                     0.209443                 0.079535  \n",
+       "smoothness_worst               0.486361                 0.608113  \n",
+       "compactness_worst              0.614717                 0.800823  \n",
+       "concavity_worst                0.530509                 0.682274  \n",
+       "concave points_worst           0.502487                 0.510454  \n",
+       "symmetry_worst                 1.000000                 0.527177  \n",
+       "fractal_dimension_worst        0.527177                 1.000000  \n",
+       "\n",
+       "[31 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.corr()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee2f0278",
+   "metadata": {},
+   "source": [
+    "# Model Loading\n",
+    "In this classification, we used scikitlearn's algorithms for predicting the labels of M and B (now 0's and 1's).\n",
+    " \n",
+    "Having multiple models on their libary, we can run many models and compare it later."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4b48f208",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d7b5908a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.naive_bayes import GaussianNB\n",
+    "from sklearn.ensemble import AdaBoostClassifier\n",
+    "from sklearn.ensemble import GradientBoostingClassifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d50df8d",
+   "metadata": {},
+   "source": [
+    "Splitting the dataset into Training and Test Sets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e32ec855",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Split the data into features (X) and labels (y)\n",
+    "X = df.drop(columns=['diagnosis'])\n",
+    "y = df['diagnosis']\n",
+    "\n",
+    "# Split the data into training and testing sets\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Define a dictionary to store results\n",
+    "results = {'Model': [], 'F1_score': [], 'Accuracy': [], 'Precision': [], 'Recall': []}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "28ebe0cf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "models = {\n",
+    "    'Random Forest': RandomForestClassifier(),\n",
+    "    'Support Vector Machine': SVC(),\n",
+    "    'K-Nearest Neighbors': KNeighborsClassifier(),\n",
+    "    'Logistic Regression': LogisticRegression(),\n",
+    "    'Decision Tree': DecisionTreeClassifier(),\n",
+    "    'Naive Bayes': GaussianNB(),\n",
+    "    'AdaBoost': AdaBoostClassifier(),\n",
+    "    'Gradient Boosting': GradientBoostingClassifier()\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "17781adc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\sang.yogi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "  n_iter_i = _check_optimize_result(\n"
+     ]
+    }
+   ],
+   "source": [
+    "for model_name, model in models.items():\n",
+    "    # Train the model\n",
+    "    model.fit(X_train, y_train)\n",
+    "\n",
+    "    # Make predictions\n",
+    "    y_pred = model.predict(X_test)\n",
+    "\n",
+    "    # Evaluate the model\n",
+    "    f1 = f1_score(y_test, y_pred)\n",
+    "    accuracy = accuracy_score(y_test, y_pred)\n",
+    "    precision = precision_score(y_test, y_pred)\n",
+    "    recall = recall_score(y_test, y_pred)\n",
+    "\n",
+    "    # Store results in the dictionary\n",
+    "    results['Model'].append(model_name)\n",
+    "    results['F1_score'].append(f1)\n",
+    "    results['Accuracy'].append(accuracy)\n",
+    "    results['Precision'].append(precision)\n",
+    "    results['Recall'].append(recall)\n",
+    "\n",
+    "# Create a DataFrame from the results dictionary\n",
+    "results_df = pd.DataFrame(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "c98e51c8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\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>Model</th>\n",
+       "      <th>F1_score</th>\n",
+       "      <th>Accuracy</th>\n",
+       "      <th>Precision</th>\n",
+       "      <th>Recall</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Random Forest</td>\n",
+       "      <td>0.972222</td>\n",
+       "      <td>0.964912</td>\n",
+       "      <td>0.958904</td>\n",
+       "      <td>0.985915</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Support Vector Machine</td>\n",
+       "      <td>0.959459</td>\n",
+       "      <td>0.947368</td>\n",
+       "      <td>0.922078</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>K-Nearest Neighbors</td>\n",
+       "      <td>0.965986</td>\n",
+       "      <td>0.956140</td>\n",
+       "      <td>0.934211</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Random Forest</td>\n",
+       "      <td>0.972222</td>\n",
+       "      <td>0.964912</td>\n",
+       "      <td>0.958904</td>\n",
+       "      <td>0.985915</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Support Vector Machine</td>\n",
+       "      <td>0.959459</td>\n",
+       "      <td>0.947368</td>\n",
+       "      <td>0.922078</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>K-Nearest Neighbors</td>\n",
+       "      <td>0.965986</td>\n",
+       "      <td>0.956140</td>\n",
+       "      <td>0.934211</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Logistic Regression</td>\n",
+       "      <td>0.972222</td>\n",
+       "      <td>0.964912</td>\n",
+       "      <td>0.958904</td>\n",
+       "      <td>0.985915</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Decision Tree</td>\n",
+       "      <td>0.951049</td>\n",
+       "      <td>0.938596</td>\n",
+       "      <td>0.944444</td>\n",
+       "      <td>0.957746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Naive Bayes</td>\n",
+       "      <td>0.979310</td>\n",
+       "      <td>0.973684</td>\n",
+       "      <td>0.959459</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>AdaBoost</td>\n",
+       "      <td>0.957746</td>\n",
+       "      <td>0.947368</td>\n",
+       "      <td>0.957746</td>\n",
+       "      <td>0.957746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Gradient Boosting</td>\n",
+       "      <td>0.972222</td>\n",
+       "      <td>0.964912</td>\n",
+       "      <td>0.958904</td>\n",
+       "      <td>0.985915</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Model  F1_score  Accuracy  Precision    Recall\n",
+       "0            Random Forest  0.972222  0.964912   0.958904  0.985915\n",
+       "1   Support Vector Machine  0.959459  0.947368   0.922078  1.000000\n",
+       "2      K-Nearest Neighbors  0.965986  0.956140   0.934211  1.000000\n",
+       "3            Random Forest  0.972222  0.964912   0.958904  0.985915\n",
+       "4   Support Vector Machine  0.959459  0.947368   0.922078  1.000000\n",
+       "5      K-Nearest Neighbors  0.965986  0.956140   0.934211  1.000000\n",
+       "6      Logistic Regression  0.972222  0.964912   0.958904  0.985915\n",
+       "7            Decision Tree  0.951049  0.938596   0.944444  0.957746\n",
+       "8              Naive Bayes  0.979310  0.973684   0.959459  1.000000\n",
+       "9                 AdaBoost  0.957746  0.947368   0.957746  0.957746\n",
+       "10       Gradient Boosting  0.972222  0.964912   0.958904  0.985915"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "212e9b94",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
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+   "mimetype": "text/x-python",
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+}