{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b6e3c0c7",
   "metadata": {},
   "source": [
    "## <font color='purple'> Introduction: </font>\n",
    "\n",
    "In the development of a cancer diagnosis prediction model, I utilized a K-Nearest Neighbors (KNN) classifier with 3 neighbors. My primary goal was to optimize the model to accurately identify cancer cases, reducing the number of false negatives, that represent undetected cancer cases. I focused on improving recall, which measures the model's ability to correctly identify positive cases.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "d13293ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "id": "ae14f335",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\Teni\\Desktop\\Git-Github\\Datasets\\KNN\\breast-cancer.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38488593",
   "metadata": {},
   "source": [
    "### <font color='black'> Data Info Analysis </font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "id": "1fcdea81",
   "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": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "id": "54b305b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 569 entries, 0 to 568\n",
      "Data columns (total 33 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   id                       569 non-null    int64  \n",
      " 1   diagnosis                569 non-null    object \n",
      " 2   radius_mean              569 non-null    float64\n",
      " 3   texture_mean             569 non-null    float64\n",
      " 4   perimeter_mean           569 non-null    float64\n",
      " 5   area_mean                569 non-null    float64\n",
      " 6   smoothness_mean          569 non-null    float64\n",
      " 7   compactness_mean         569 non-null    float64\n",
      " 8   concavity_mean           569 non-null    float64\n",
      " 9   concave points_mean      569 non-null    float64\n",
      " 10  symmetry_mean            569 non-null    float64\n",
      " 11  fractal_dimension_mean   569 non-null    float64\n",
      " 12  radius_se                569 non-null    float64\n",
      " 13  texture_se               569 non-null    float64\n",
      " 14  perimeter_se             569 non-null    float64\n",
      " 15  area_se                  569 non-null    float64\n",
      " 16  smoothness_se            569 non-null    float64\n",
      " 17  compactness_se           569 non-null    float64\n",
      " 18  concavity_se             569 non-null    float64\n",
      " 19  concave points_se        569 non-null    float64\n",
      " 20  symmetry_se              569 non-null    float64\n",
      " 21  fractal_dimension_se     569 non-null    float64\n",
      " 22  radius_worst             569 non-null    float64\n",
      " 23  texture_worst            569 non-null    float64\n",
      " 24  perimeter_worst          569 non-null    float64\n",
      " 25  area_worst               569 non-null    float64\n",
      " 26  smoothness_worst         569 non-null    float64\n",
      " 27  compactness_worst        569 non-null    float64\n",
      " 28  concavity_worst          569 non-null    float64\n",
      " 29  concave points_worst     569 non-null    float64\n",
      " 30  symmetry_worst           569 non-null    float64\n",
      " 31  fractal_dimension_worst  569 non-null    float64\n",
      " 32  Unnamed: 32              0 non-null      float64\n",
      "dtypes: float64(31), int64(1), object(1)\n",
      "memory usage: 146.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "id": "2857dac8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "B    357\n",
       "M    212\n",
       "Name: diagnosis, dtype: int64"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.diagnosis.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "d04dd32f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['M' 'B']\n"
     ]
    }
   ],
   "source": [
    "print(df.diagnosis.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "958c79f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id                           int64\n",
      "diagnosis                   object\n",
      "radius_mean                float64\n",
      "texture_mean               float64\n",
      "perimeter_mean             float64\n",
      "area_mean                  float64\n",
      "smoothness_mean            float64\n",
      "compactness_mean           float64\n",
      "concavity_mean             float64\n",
      "concave points_mean        float64\n",
      "symmetry_mean              float64\n",
      "fractal_dimension_mean     float64\n",
      "radius_se                  float64\n",
      "texture_se                 float64\n",
      "perimeter_se               float64\n",
      "area_se                    float64\n",
      "smoothness_se              float64\n",
      "compactness_se             float64\n",
      "concavity_se               float64\n",
      "concave points_se          float64\n",
      "symmetry_se                float64\n",
      "fractal_dimension_se       float64\n",
      "radius_worst               float64\n",
      "texture_worst              float64\n",
      "perimeter_worst            float64\n",
      "area_worst                 float64\n",
      "smoothness_worst           float64\n",
      "compactness_worst          float64\n",
      "concavity_worst            float64\n",
      "concave points_worst       float64\n",
      "symmetry_worst             float64\n",
      "fractal_dimension_worst    float64\n",
      "Unnamed: 32                float64\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "0f530925",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                           0\n",
       "diagnosis                    0\n",
       "radius_mean                  0\n",
       "texture_mean                 0\n",
       "perimeter_mean               0\n",
       "area_mean                    0\n",
       "smoothness_mean              0\n",
       "compactness_mean             0\n",
       "concavity_mean               0\n",
       "concave points_mean          0\n",
       "symmetry_mean                0\n",
       "fractal_dimension_mean       0\n",
       "radius_se                    0\n",
       "texture_se                   0\n",
       "perimeter_se                 0\n",
       "area_se                      0\n",
       "smoothness_se                0\n",
       "compactness_se               0\n",
       "concavity_se                 0\n",
       "concave points_se            0\n",
       "symmetry_se                  0\n",
       "fractal_dimension_se         0\n",
       "radius_worst                 0\n",
       "texture_worst                0\n",
       "perimeter_worst              0\n",
       "area_worst                   0\n",
       "smoothness_worst             0\n",
       "compactness_worst            0\n",
       "concavity_worst              0\n",
       "concave points_worst         0\n",
       "symmetry_worst               0\n",
       "fractal_dimension_worst      0\n",
       "Unnamed: 32                569\n",
       "dtype: int64"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()\n",
    "\n",
    "# There are no null data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0092fef",
   "metadata": {},
   "source": [
    "\n",
    "### <font color='black'> Data Exploratory Analysis </font>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "fa6dc28e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "90e010a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.diagnosis.value_counts().plot(kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "154bb01e",
   "metadata": {},
   "outputs": [],
   "source": [
    "diagnosis_mapping = {'M': 1, 'B': 0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "6084800c",
   "metadata": {},
   "outputs": [],
   "source": [
    " df.diagnosis = df.diagnosis.map(diagnosis_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "id": "e4e94604",
   "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>1</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>1</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>1</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>1</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>1</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          1        17.99         10.38          122.80     1001.0   \n",
       "1    842517          1        20.57         17.77          132.90     1326.0   \n",
       "2  84300903          1        19.69         21.25          130.00     1203.0   \n",
       "3  84348301          1        11.42         20.38           77.58      386.1   \n",
       "4  84358402          1        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": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "id": "8d53a49d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <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>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",
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       "      <th>fractal_dimension_worst</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842302</td>\n",
       "      <td>1</td>\n",
       "      <td>17.99</td>\n",
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       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.30010</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>...</td>\n",
       "      <td>25.380</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.16220</td>\n",
       "      <td>0.66560</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>842517</td>\n",
       "      <td>1</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>0.08690</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>...</td>\n",
       "      <td>24.990</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.12380</td>\n",
       "      <td>0.18660</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>84300903</td>\n",
       "      <td>1</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>0.19740</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>...</td>\n",
       "      <td>23.570</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.14440</td>\n",
       "      <td>0.42450</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>84348301</td>\n",
       "      <td>1</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>0.24140</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>...</td>\n",
       "      <td>14.910</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.20980</td>\n",
       "      <td>0.86630</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>84358402</td>\n",
       "      <td>1</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>0.19800</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>...</td>\n",
       "      <td>22.540</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.13740</td>\n",
       "      <td>0.20500</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <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",
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       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>926424</td>\n",
       "      <td>1</td>\n",
       "      <td>21.56</td>\n",
       "      <td>22.39</td>\n",
       "      <td>142.00</td>\n",
       "      <td>1479.0</td>\n",
       "      <td>0.11100</td>\n",
       "      <td>0.11590</td>\n",
       "      <td>0.24390</td>\n",
       "      <td>0.13890</td>\n",
       "      <td>...</td>\n",
       "      <td>25.450</td>\n",
       "      <td>26.40</td>\n",
       "      <td>166.10</td>\n",
       "      <td>2027.0</td>\n",
       "      <td>0.14100</td>\n",
       "      <td>0.21130</td>\n",
       "      <td>0.4107</td>\n",
       "      <td>0.2216</td>\n",
       "      <td>0.2060</td>\n",
       "      <td>0.07115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>926682</td>\n",
       "      <td>1</td>\n",
       "      <td>20.13</td>\n",
       "      <td>28.25</td>\n",
       "      <td>131.20</td>\n",
       "      <td>1261.0</td>\n",
       "      <td>0.09780</td>\n",
       "      <td>0.10340</td>\n",
       "      <td>0.14400</td>\n",
       "      <td>0.09791</td>\n",
       "      <td>...</td>\n",
       "      <td>23.690</td>\n",
       "      <td>38.25</td>\n",
       "      <td>155.00</td>\n",
       "      <td>1731.0</td>\n",
       "      <td>0.11660</td>\n",
       "      <td>0.19220</td>\n",
       "      <td>0.3215</td>\n",
       "      <td>0.1628</td>\n",
       "      <td>0.2572</td>\n",
       "      <td>0.06637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>926954</td>\n",
       "      <td>1</td>\n",
       "      <td>16.60</td>\n",
       "      <td>28.08</td>\n",
       "      <td>108.30</td>\n",
       "      <td>858.1</td>\n",
       "      <td>0.08455</td>\n",
       "      <td>0.10230</td>\n",
       "      <td>0.09251</td>\n",
       "      <td>0.05302</td>\n",
       "      <td>...</td>\n",
       "      <td>18.980</td>\n",
       "      <td>34.12</td>\n",
       "      <td>126.70</td>\n",
       "      <td>1124.0</td>\n",
       "      <td>0.11390</td>\n",
       "      <td>0.30940</td>\n",
       "      <td>0.3403</td>\n",
       "      <td>0.1418</td>\n",
       "      <td>0.2218</td>\n",
       "      <td>0.07820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>927241</td>\n",
       "      <td>1</td>\n",
       "      <td>20.60</td>\n",
       "      <td>29.33</td>\n",
       "      <td>140.10</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>0.11780</td>\n",
       "      <td>0.27700</td>\n",
       "      <td>0.35140</td>\n",
       "      <td>0.15200</td>\n",
       "      <td>...</td>\n",
       "      <td>25.740</td>\n",
       "      <td>39.42</td>\n",
       "      <td>184.60</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>0.16500</td>\n",
       "      <td>0.86810</td>\n",
       "      <td>0.9387</td>\n",
       "      <td>0.2650</td>\n",
       "      <td>0.4087</td>\n",
       "      <td>0.12400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>92751</td>\n",
       "      <td>0</td>\n",
       "      <td>7.76</td>\n",
       "      <td>24.54</td>\n",
       "      <td>47.92</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.05263</td>\n",
       "      <td>0.04362</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.456</td>\n",
       "      <td>30.37</td>\n",
       "      <td>59.16</td>\n",
       "      <td>268.6</td>\n",
       "      <td>0.08996</td>\n",
       "      <td>0.06444</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.2871</td>\n",
       "      <td>0.07039</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>569 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id  diagnosis  radius_mean  texture_mean  perimeter_mean  \\\n",
       "0      842302          1        17.99         10.38          122.80   \n",
       "1      842517          1        20.57         17.77          132.90   \n",
       "2    84300903          1        19.69         21.25          130.00   \n",
       "3    84348301          1        11.42         20.38           77.58   \n",
       "4    84358402          1        20.29         14.34          135.10   \n",
       "..        ...        ...          ...           ...             ...   \n",
       "564    926424          1        21.56         22.39          142.00   \n",
       "565    926682          1        20.13         28.25          131.20   \n",
       "566    926954          1        16.60         28.08          108.30   \n",
       "567    927241          1        20.60         29.33          140.10   \n",
       "568     92751          0         7.76         24.54           47.92   \n",
       "\n",
       "     area_mean  smoothness_mean  compactness_mean  concavity_mean  \\\n",
       "0       1001.0          0.11840           0.27760         0.30010   \n",
       "1       1326.0          0.08474           0.07864         0.08690   \n",
       "2       1203.0          0.10960           0.15990         0.19740   \n",
       "3        386.1          0.14250           0.28390         0.24140   \n",
       "4       1297.0          0.10030           0.13280         0.19800   \n",
       "..         ...              ...               ...             ...   \n",
       "564     1479.0          0.11100           0.11590         0.24390   \n",
       "565     1261.0          0.09780           0.10340         0.14400   \n",
       "566      858.1          0.08455           0.10230         0.09251   \n",
       "567     1265.0          0.11780           0.27700         0.35140   \n",
       "568      181.0          0.05263           0.04362         0.00000   \n",
       "\n",
       "     concave points_mean  ...  radius_worst  texture_worst  perimeter_worst  \\\n",
       "0                0.14710  ...        25.380          17.33           184.60   \n",
       "1                0.07017  ...        24.990          23.41           158.80   \n",
       "2                0.12790  ...        23.570          25.53           152.50   \n",
       "3                0.10520  ...        14.910          26.50            98.87   \n",
       "4                0.10430  ...        22.540          16.67           152.20   \n",
       "..                   ...  ...           ...            ...              ...   \n",
       "564              0.13890  ...        25.450          26.40           166.10   \n",
       "565              0.09791  ...        23.690          38.25           155.00   \n",
       "566              0.05302  ...        18.980          34.12           126.70   \n",
       "567              0.15200  ...        25.740          39.42           184.60   \n",
       "568              0.00000  ...         9.456          30.37            59.16   \n",
       "\n",
       "     area_worst  smoothness_worst  compactness_worst  concavity_worst  \\\n",
       "0        2019.0           0.16220            0.66560           0.7119   \n",
       "1        1956.0           0.12380            0.18660           0.2416   \n",
       "2        1709.0           0.14440            0.42450           0.4504   \n",
       "3         567.7           0.20980            0.86630           0.6869   \n",
       "4        1575.0           0.13740            0.20500           0.4000   \n",
       "..          ...               ...                ...              ...   \n",
       "564      2027.0           0.14100            0.21130           0.4107   \n",
       "565      1731.0           0.11660            0.19220           0.3215   \n",
       "566      1124.0           0.11390            0.30940           0.3403   \n",
       "567      1821.0           0.16500            0.86810           0.9387   \n",
       "568       268.6           0.08996            0.06444           0.0000   \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",
       "564                0.2216          0.2060                  0.07115  \n",
       "565                0.1628          0.2572                  0.06637  \n",
       "566                0.1418          0.2218                  0.07820  \n",
       "567                0.2650          0.4087                  0.12400  \n",
       "568                0.0000          0.2871                  0.07039  \n",
       "\n",
       "[569 rows x 32 columns]"
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(df.columns[-1], axis=1, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "id": "1c3b00b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1076.74x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df, vars=['radius_mean', 'texture_mean', 'perimeter_mean', 'area_mean'], hue='diagnosis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "985f2b57",
   "metadata": {},
   "source": [
    "\n",
    "### <font color='black'> Define X and y </font>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "id": "15292286",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('diagnosis', axis=1)\n",
    "y= df['diagnosis']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59f7f561",
   "metadata": {},
   "source": [
    "\n",
    "### <font color='black'> Train_Test_Split </font>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "id": "22c6f858",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=42)\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "519003d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bb6edd1",
   "metadata": {},
   "source": [
    "#### <font color='black'> Data Scaling </font>\n",
    "\n",
    "- Scaling the data because the values in the data are widely apart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "abc2c938",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "id": "c7b48f0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "id": "04c77894",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_X_train = scaler.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "id": "ed834bd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee6eca99",
   "metadata": {},
   "source": [
    "- model selction\n",
    "\n",
    "- will be using KNNClassification to identify the ditance/relationship of the variables in forcasting new data enties\n",
    "\n",
    "- also, will use GridsearchCV"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a32bebf3",
   "metadata": {},
   "source": [
    "### <font color='black'> Data Modelling </font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "84693df5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "id": "6aaa3f0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "id": "2db019ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(n_neighbors=2)"
      ]
     },
     "execution_count": 293,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(scaled_X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "d476e8de",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(scaled_X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac252992",
   "metadata": {},
   "source": [
    "### <font color='black'> Data Metrics </font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "id": "61d08332",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, plot_confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "6cb22d5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9532163742690059"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "id": "1d271bd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.953"
      ]
     },
     "execution_count": 297,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(accuracy_score(y_test, y_pred), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "id": "ab9226e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[107,   1],\n",
       "       [  7,  56]], dtype=int64)"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "id": "010514f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x14191d41790>"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(knn, scaled_X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "cd878173",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.94      0.99      0.96       108\n",
      "           1       0.98      0.89      0.93        63\n",
      "\n",
      "    accuracy                           0.95       171\n",
      "   macro avg       0.96      0.94      0.95       171\n",
      "weighted avg       0.95      0.95      0.95       171\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba9c5903",
   "metadata": {},
   "source": [
    "- the metrics for precisiona and recall are different because the data is unbalanced\n",
    "- It's better to have False Positives than False negatives.\n",
    "- Finetuning oroptimizing the Recall metric will be at the cost of a lower precision score (which is alriht in our data context)\n",
    "- Due to the context of the data, need to further optimize the model's ability to significantly minimize false negatives- which means ethe recall would be enhanced."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "20d32315",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04678362573099415"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_rate = 1-(accuracy_score(y_test, y_pred))\n",
    "\n",
    "error_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c85c54f8",
   "metadata": {},
   "source": [
    "#### <font color='black'> Hypertune the parameters to improve the Metrics Score </font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "5f9b4985",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rate = [ ]\n",
    "\n",
    "for k in range (1, 50):\n",
    "    knn = KNeighborsClassifier(n_neighbors=k)\n",
    "    knn.fit(scaled_X_train, y_train)\n",
    "    y_pred = knn.predict(scaled_X_test)\n",
    "\n",
    "    error = 1-(accuracy_score(y_test, y_pred))\n",
    "\n",
    "    error_rate.append(error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "ca80810b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.04678362573099415,\n",
       " 0.04678362573099415,\n",
       " 0.040935672514619936,\n",
       " 0.040935672514619936,\n",
       " 0.040935672514619936,\n",
       " 0.03508771929824561,\n",
       " 0.040935672514619936,\n",
       " 0.040935672514619936,\n",
       " 0.0292397660818714,\n",
       " 0.040935672514619936,\n",
       " 0.0292397660818714,\n",
       " 0.040935672514619936,\n",
       " 0.03508771929824561,\n",
       " 0.04678362573099415,\n",
       " 0.040935672514619936,\n",
       " 0.04678362573099415,\n",
       " 0.04678362573099415,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.04678362573099415,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.052631578947368474,\n",
       " 0.04678362573099415,\n",
       " 0.052631578947368474]"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "id": "d717feb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'range')"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1, 50), error_rate)\n",
    "plt.ylabel('error rate')\n",
    "plt.xlabel('range')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f95b99b",
   "metadata": {},
   "source": [
    "**Zone in on the graph, since the minimu error rate falls within the KNN range of 9 and 11**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "id": "763afc40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8.0, 12.0)"
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1, 50), error_rate)\n",
    "plt.ylabel('error rate')\n",
    "plt.xlabel('range')\n",
    "\n",
    "plt.xlim(8, 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "id": "73e72582",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn_2 = KNeighborsClassifier(n_neighbors=9)\n",
    "\n",
    "knn_2.fit(scaled_X_train, y_train)\n",
    "y_pred_2 = knn.predict(scaled_X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "8385ec0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9473684210526315"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "a8d8fc6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.947"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(accuracy_score(y_test, y_pred), 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd5ccebe",
   "metadata": {},
   "source": [
    "Since the accuracy has no much diff- leave the knn as it was"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3305c87c",
   "metadata": {},
   "source": [
    "#### <font color='black'> Hypertune the parameters using GrodSearchCV to improve the Recall score </font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "4e233cc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "8b13be29",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "385ba310",
   "metadata": {},
   "outputs": [],
   "source": [
    "operations = [('scaler', scaler), ('knn', knn)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "ca0b2b7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "id": "5aacc9d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = Pipeline(operations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "id": "b6eb3f2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "id": "5fbc41b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "k_values = range(1, 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "id": "4a46f275",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_grid = {'knn__n_neighbors': k_values}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "id": "74e32552",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import make_scorer, recall_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "id": "f327a06e",
   "metadata": {},
   "outputs": [],
   "source": [
    "scorer= make_scorer(recall_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "id": "1ec8c086",
   "metadata": {},
   "outputs": [],
   "source": [
    "full_cv_classifier = GridSearchCV(pipe, param_grid, cv=5, scoring=scorer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "4884cb8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5,\n",
       "             estimator=Pipeline(steps=[('scaler', StandardScaler()),\n",
       "                                       ('knn', KNeighborsClassifier())]),\n",
       "             param_grid={'knn__n_neighbors': range(1, 50)},\n",
       "             scoring=make_scorer(recall_score))"
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_cv_classifier.fit(scaled_X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "id": "abb37ddb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,\n",
       "       1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0,\n",
       "       1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1,\n",
       "       0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0,\n",
       "       1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1,\n",
       "       0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0,\n",
       "       0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], dtype=int64)"
      ]
     },
     "execution_count": 321,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_cv_classifier.predict(scaled_X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "b45b27ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x1418f45f910>"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(full_cv_classifier, scaled_X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "a42ab497",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'knn__n_neighbors': 3}"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_cv_classifier.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "6c84567c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9062068965517242"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_cv_classifier.best_score_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "567402c9",
   "metadata": {},
   "source": [
    "- The best knn value from the range using GridsearchCV is 3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e01f692",
   "metadata": {},
   "source": [
    "\n",
    "## <font color='purple'> Conclusion: </font>\n",
    "\n",
    "Through careful adjustments, I improved the model's performance significantly. I reduced false negatives from 7 to 4, ensuring more cancer cases were correctly identified. Additionally, precision increased from 1 to 3, meaning the model made fewer incorrect positive predictions. Overall, my refined model is more reliable for early cancer detection. These improvements not only enhance the model's accuracy but also its potential utility in clinical settings for better patient outcomes."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}