Saanvi Tayal,COTM_feb.ipynb

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   "id": "3dd7271a",
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   "source": [
    "<h1>Challenge of the Month (Feburary )<h1>\n",
    "    <h2>AI Heart Disease Detector</h2>\n",
    "<h3>Saanvi Tayal (Grade: 9)</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e14d33e",
   "metadata": {},
   "source": [
    "<h2>3.Data Exploration</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77069fe8",
   "metadata": {},
   "source": [
    "<h3>Loading and understanding the dataset</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f4e264b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns \n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "from sklearn import tree\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "df = pd.read_csv(\"heart.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b4c405ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
       "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e935bb1",
   "metadata": {},
   "source": [
    "Details of columns\n",
    "<ol><li>age</li>\n",
    "<li>sex (1 = male; 0 = female)</li> \n",
    "<li>chest pain type (4 values)</li>\n",
    "<li>resting blood pressure</li>\n",
    "<li>serum cholestoral in mg/dl</li>\n",
    "<li>fasting blood sugar > 120 mg/dl</li>\n",
    "<li>resting electrocardiographic results (values 0,1,2)</li>\n",
    "<li>maximum heart rate achieved</li>\n",
    "<li>exercise induced angina</li>\n",
    "<li>oldpeak = ST depression induced by exercise relative to rest</li>\n",
    "<li>the slope of the peak exercise ST segment</li>\n",
    "<li>number of major vessels (0-3) colored by flourosopy</li>\n",
    "<li>thal: 3 = normal; 6 = fixed defect; 7 = reversable defect</li></ol>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a40be011",
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       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
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       "      <td>204</td>\n",
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       "      <td>0</td>\n",
       "      <td>172</td>\n",
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       "      <th>3</th>\n",
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       "      <th>4</th>\n",
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       "      <td>354</td>\n",
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       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "3   56    1   1       120   236    0        1      178      0      0.8      2   \n",
       "4   57    0   0       120   354    0        1      163      1      0.6      2   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   0     1       1  \n",
       "1   0     2       1  \n",
       "2   0     2       1  \n",
       "3   0     2       1  \n",
       "4   0     2       1  "
      ]
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     "execution_count": 3,
     "metadata": {},
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   "source": [
    "df.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b68835a6",
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   "outputs": [
    {
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       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
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       "      <th>target</th>\n",
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       "      <td>1</td>\n",
       "      <td>141</td>\n",
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       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>57</td>\n",
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       "      <td>130</td>\n",
       "      <td>131</td>\n",
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       "      <th>302</th>\n",
       "      <td>57</td>\n",
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       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>236</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
       "298   57    0   0       140   241    0        1      123      1      0.2   \n",
       "299   45    1   3       110   264    0        1      132      0      1.2   \n",
       "300   68    1   0       144   193    1        1      141      0      3.4   \n",
       "301   57    1   0       130   131    0        1      115      1      1.2   \n",
       "302   57    0   1       130   236    0        0      174      0      0.0   \n",
       "\n",
       "     slope  ca  thal  target  \n",
       "298      1   0     3       0  \n",
       "299      1   0     3       0  \n",
       "300      1   2     3       0  \n",
       "301      1   1     3       0  \n",
       "302      1   1     2       0  "
      ]
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     "execution_count": 4,
     "metadata": {},
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   "source": [
    "df.tail()"
   ]
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  {
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   "id": "2fe82232",
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    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.366337</td>\n",
       "      <td>0.683168</td>\n",
       "      <td>0.966997</td>\n",
       "      <td>131.623762</td>\n",
       "      <td>246.264026</td>\n",
       "      <td>0.148515</td>\n",
       "      <td>0.528053</td>\n",
       "      <td>149.646865</td>\n",
       "      <td>0.326733</td>\n",
       "      <td>1.039604</td>\n",
       "      <td>1.399340</td>\n",
       "      <td>0.729373</td>\n",
       "      <td>2.313531</td>\n",
       "      <td>0.544554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.082101</td>\n",
       "      <td>0.466011</td>\n",
       "      <td>1.032052</td>\n",
       "      <td>17.538143</td>\n",
       "      <td>51.830751</td>\n",
       "      <td>0.356198</td>\n",
       "      <td>0.525860</td>\n",
       "      <td>22.905161</td>\n",
       "      <td>0.469794</td>\n",
       "      <td>1.161075</td>\n",
       "      <td>0.616226</td>\n",
       "      <td>1.022606</td>\n",
       "      <td>0.612277</td>\n",
       "      <td>0.498835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>47.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>133.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>274.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>77.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>564.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "              age         sex          cp    trestbps        chol         fbs  \\\n",
       "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
       "mean    54.366337    0.683168    0.966997  131.623762  246.264026    0.148515   \n",
       "std      9.082101    0.466011    1.032052   17.538143   51.830751    0.356198   \n",
       "min     29.000000    0.000000    0.000000   94.000000  126.000000    0.000000   \n",
       "25%     47.500000    0.000000    0.000000  120.000000  211.000000    0.000000   \n",
       "50%     55.000000    1.000000    1.000000  130.000000  240.000000    0.000000   \n",
       "75%     61.000000    1.000000    2.000000  140.000000  274.500000    0.000000   \n",
       "max     77.000000    1.000000    3.000000  200.000000  564.000000    1.000000   \n",
       "\n",
       "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
       "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
       "mean     0.528053  149.646865    0.326733    1.039604    1.399340    0.729373   \n",
       "std      0.525860   22.905161    0.469794    1.161075    0.616226    1.022606   \n",
       "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  133.500000    0.000000    0.000000    1.000000    0.000000   \n",
       "50%      1.000000  153.000000    0.000000    0.800000    1.000000    0.000000   \n",
       "75%      1.000000  166.000000    1.000000    1.600000    2.000000    1.000000   \n",
       "max      2.000000  202.000000    1.000000    6.200000    2.000000    4.000000   \n",
       "\n",
       "             thal      target  \n",
       "count  303.000000  303.000000  \n",
       "mean     2.313531    0.544554  \n",
       "std      0.612277    0.498835  \n",
       "min      0.000000    0.000000  \n",
       "25%      2.000000    0.000000  \n",
       "50%      2.000000    1.000000  \n",
       "75%      3.000000    1.000000  \n",
       "max      3.000000    1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ab6d2e3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trestbps  303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f8a0b869",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(303, 14)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "df7f7c2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trestbps    0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalach     0\n",
       "exang       0\n",
       "oldpeak     0\n",
       "slope       0\n",
       "ca          0\n",
       "thal        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf7f259e",
   "metadata": {},
   "source": [
    "<h3>Performing EDA on the dataset</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "267be66c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation = df.corr()\n",
    "fig_corr= plt.gcf();\n",
    "fig_corr.set_size_inches(10,10);\n",
    "sns.heatmap(correlation,annot = True, square = True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cd97bb19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_target = df.groupby(\"target\").size()\n",
    "df_target\n",
    "plt.pie(df_target.values, labels = [\"no_heart_disease\", \"with heart disease\"], autopct='%1.1f%%') \n",
    "plt.title(\"Percentage of people diagnosed by heart disease\")\n",
    "plt.show()\n",
    "#54.5% people who were diagnosed with heart disease"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6b36b0b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_sex = df.groupby([\"sex\",\"target\"]).size()\n",
    "df_sex\n",
    "plt.pie(df_sex.values, labels = [\"Female,no_heart_disease\", \"Female,with heart disease\", \"Male,no_heart_disease\", \"Male,with heart disease\"],autopct='%1.1f%%')\n",
    "plt.title(\"Percentage of males and females diagnosed by heart disease\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "645fe80c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NWF/qVH11T26lvYQXgFUbeQS3IsoOsubC11bwdMeQnXRvKU+kWIlsJT80Ih4vdzwrirJbY06IiMfKHYu1HpL+h2yHY3mPtloNSZcA34iIocs7jTzewI6yx5mtImktsj2FB0qdAPMuNZV1Ss0z1ecLa+/1tViSDiQ79/HPcsdiLZukbpL6p6bGzcmOYJe3ib1FU3YfYE9l+pCdCvladdEs7tgvgxPImgoXkd1/c1JZo8mnfmRNRdXNKEMiu+q4xUtH4luR3UO3uMzhWMu3CtkVlxuTnXu9g+xWtTzqSNYEuh7wIfA7slNKyy33zaFmZpZfuWwONTMzg5w0h66zzjrRo0ePcodhZtaiTJgw4aOIKPawkFYhF0mwR48eVFVVlTsMM7MWRdKynpzU4rk51MzMcstJ0MzMcstJ0MzMcisX5wTrsmDBAqZPn84XX3xR7lCsDNq1a0f37t1p27ZtuUMxszLKbRKcPn06HTt2pEePHmTP6rW8iAhmzZrF9OnT2XjjjcsdjpmVUW6bQ7/44gs6d+7sBJhDkujcubNbAcwsv0kQcALMMc97M4OcJ0EzM8u33J4TrE3nrdgjgzjXz2Q1M2vunARbuIEDB3LppZfSq1evFT7tiy66iLPPPrvBww8fPpzVV1+dn/zkJ5xzzjkMGDCA3XfffYXHZU2jsTuC3tGz1sDNobaUiGDx4sVcdNFFyz2N888/3wnQzJo9J8EymjZtGltuuSXHHXccW2+9NYMGDeLzzz9n0qRJ9O3bl549e3LAAQfwySef1DudkSNH0qdPHzbbbDOefPJJABYtWsRZZ51F79696dmzJ3/5y18AmDdvHrvtthuVlZVsu+223HfffTViOemkk6isrOSYY47h888/p6KigkMPPbRo2RdeeCGbb745u+++O6+88sqS74888kjuvvtuAIYNG8ZWW21Fz549+clPfgLAzJkzOfDAA+nduze9e/dm3LhxADz77LPsuOOObLfdduy4445LpjllyhT69OlDRUUFPXv2ZOrUqQDccsstS74/4YQTWLRoUaPng5nll5NgmU2dOpWTTz6ZKVOm0KlTJ+655x6OOOIILrnkEiZPnsy2227LeeedV+80Fi5cyLPPPsvll1++ZNjrrruONddck/HjxzN+/Hj++te/8uabb9KuXTtGjRrFc889x+OPP86ZZ55J9TslX3nlFY444ggmTpzIiBEjaN++PZMmTeLWW2+ts9wJEyZwxx13MHHiRP72t78xfvz4pYb5+OOPGTVqFFOmTGHy5Mn84he/AOC0007jjDPOYPz48dxzzz0ce+yxAGyxxRaMHTuWiRMncv755y9pjr366qs57bTTmDRpElVVVXTv3p2XXnqJO++8k3HjxjFp0iTatGlTNFYzs7r4nGCZbbzxxlRUVACw/fbb8/rrrzN79mx23nlnAIYOHcpBBx1U7zS+973vLRl/2rRpADzyyCNMnjx5ydHYnDlzmDp1Kt27d+fss89m7NixrLTSSrz77rt88MEHAGy00Ub07du3wbE/+eSTHHDAAay22moAfPe7311qmDXWWIN27dpx7LHHss8++7DvvvsC8Nhjj/Hiiy8uGe7TTz9l7ty5zJkzh6FDhzJ16lQksWDBAgD69evHhRdeyPTp0/ne977HpptuyujRo5kwYQK9e/cG4PPPP6dr164Njt/MzEmwzFZdddUln9u0acPs2bOXexpt2rRh4cKFQHZe74orrmDw4ME1hr3hhhuYOXMmEyZMoG3btvTo0WPJTeMdOnRodNnLut9u5ZVX5tlnn2X06NHccccdXHnllfzzn/9k8eLFPP3007Rv377G8D/+8Y/ZZZddGDVqFNOmTWPgwIEA/OhHP2KHHXbgoYceYvDgwVx77bVEBEOHDuXXv/51o+M2MwMnwSWay5Vua665JmuttRZPPvkkO+20EzfffPOSo8LGGDx4MH/+85/Zddddadu2La+++irrr78+c+bMoWvXrrRt25bHH3+ct94q/rqwtm3bsmDBgqLP1xwwYABHHnkkw4YNY+HChTzwwAOccMIJNYaZN28e8+fPZ++996Zv375861vfAmDQoEFceeWVnHXWWQBMmjSJiooK5syZw/rrrw9kCbvaG2+8wSabbMKpp57KG2+8weTJkxk0aBD7778/Z5xxBl27duXjjz9m7ty5bLTRRo2uLzPLJyfBZujGG2/kxBNPZP78+WyyySaMGDGi0dM49thjmTZtGpWVlUQEXbp04d577+XQQw9lv/32o1evXlRUVLDFFlsUncbxxx9Pz549qaysrPNcW2VlJQcffDAVFRVstNFG7LTTTksNM3fuXPbff3+++OILIoLf//73APzxj3/k5JNPpmfPnixcuJABAwZw9dVX89Of/pShQ4dy2WWXseuuuy6Zzp133sktt9xC27Zt+cY3vsE555zD2muvzQUXXMCgQYNYvHgxbdu25aqrrnISNLMGU/VFEa1Zr169ovab5V966SW23HLLMkVkzYGXgZp8n6DVJmlCRKz4m5CbEV8damZmueXm0Bbi5JNPXnIvXbXTTjuNo446qsnLnjVrFrvttttS348ePZrOnTs3eflmZk2l2SdBSW2AKuDdiNhX0trAnUAPYBrwg4io/27yVuCqq64qW9mdO3dm0qRJZSvfzKyptITm0NOAlwq6hwGjI2JTYHTqNjMza7RmnQQldQf2Aa4t+Hp/4Mb0+UZgSInDMjOzVqJZJ0HgcuCnwOKC79aNiBkA6X+djwiRdLykKklVM2fObPJAzcys5Wm25wQl7Qt8GBETJA1s7PgRcQ1wDWS3SCxzhCeqljlIo+z89a8q3nvvvbntttsAuO222zjppJMAGDNmDJdeeikPPvhgveM3h9cs3XDDDVRVVXHllVdy9dVXs9pqq3HEEUes8HjMzJZHcz4S7A98V9I04A5gV0m3AB9I6gaQ/n9YvhCb1sMPP0ynTp2YPXs2f/rTn8odDvD1XrN04oknOgGaWbPSbJNgRPwsIrpHRA/gh8A/I+Iw4H5gaBpsKHBfmUL8Wn7zm9/wxz/+EYAzzjhjydNRRo8ezWGHHQZAjx49+Oijjxg2bBivv/46FRUVSx4zNm/ePL7//e+zxRZbcOihh1LsoQfleM3SiBEj2Gyzzdh5551r3NYxfPhwLr30UiB7Ykz165V++MMfAvDZZ59x9NFH07t3b7bbbrsa5e+0005UVlZSWVnJv/71LwBmzJjBgAEDqKioYJtttlny+x555BH69etHZWUlBx10EPPmzVuueWRmrV+zbQ6tx8XAXZKOAd4G6n/FQjM1YMAAfve733HqqadSVVXFl19+yYIFC3jqqaeWevzYxRdfzAsvvLDkNoUxY8YwceJEpkyZwnrrrUf//v0ZN24c3/nOd5Yqp/o1Sw8//DDnnXcejz32WI3XLH355Zf079+fQYMGscEGGzBq1CjWWGMNPvroI/r27bvkzRCvvPIKI0aMWHJEOnLkyDpvm5gxYwbnnnsuEyZMYM0112SXXXZhu+22W2q4iy++mDfffJNVV111yUPDL7zwQnbddVeuv/56Zs+eTZ8+fdh9993p2rUrjz76KO3atWPq1KkccsghVFVVcdtttzF48GB+/vOfs2jRIubPn89HH33EBRdcwGOPPUaHDh245JJLuOyyyzjnnHO+xtwys9aqRSTBiBgDjEmfZwFL37ndwmy//fZMmDCBuXPnsuqqq1JZWUlVVRVPPvnkkiPE+vTp04fu3bsDUFFRwbRp0+pMgqV+zdIzzzzDwIED6dKlCwAHH3wwr7766lLD9ezZk0MPPZQhQ4YwZMiQJXHdf//9S44Wv/jiC95++23WW289TjnllCXvDKyeXu/evTn66KNZsGABQ4YMoaKigieeeIIXX3yR/v37A/DVV1/Rr1+/ZcZtZvnUIpJga1T9GqMRI0aw44470rNnTx5//HFef/31Bj3PsvYrmKpfoVRsuFK+ZmlZr1cCeOihhxg7diz3338/v/rVr5gyZQoRwT333MPmm29eY9jhw4ez7rrr8vzzz7N48WLatWsHZEfTY8eO5aGHHuLwww/nrLPOYq211mKPPfbg9ttvb3C8ZpZfzfacYB4MGDCASy+9lAEDBrDTTjtx9dVXU1FRsVQS6dixI3Pnzl1h5Va/Zqn6hbWvvvoqn3322XK9Zqm2HXbYgTFjxjBr1iwWLFjAyJEjlxpm8eLFvPPOO+yyyy785je/Yfbs2cybN4/BgwdzxRVXLDm/OXHiRCA7Uu3WrRsrrbQSN998M4sWLQLgrbfeomvXrhx33HEcc8wxPPfcc/Tt25dx48bx2muvATB//vw6j0TNzMBHgv+1Am5paKyddtqJCy+8kH79+tGhQwfatWtX5+uIOnfuTP/+/dlmm23Ya6+92Geffb5WuU35mqVu3boxfPhw+vXrR7du3aisrFyStKotWrSIww47jDlz5hARnHHGGXTq1Ilf/vKXnH766fTs2ZOIoEePHjz44IOcdNJJHHjggYwcOZJddtllyVHpmDFj+O1vf0vbtm1ZffXVuemmm+jSpQs33HADhxxyCF9++SUAF1xwAZttttnXqjMza538KiXLLS8DNflVSlabX6VkZmbWijkJmplZbuU6CeahKdjq5nlvZpDjJNiuXTtmzZrljWEORQSzZs1acquFmeVXbq8O7d69O9OnT8dvmMindu3aLXnYgJnlV26TYNu2bdl4443LHYaZmZVRbptDzczMnATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3nATNzCy3Vi53AGb2NTxR1fhxdu614uMwa6Ga7ZGgpHaSnpX0vKQpks5L368t6VFJU9P/tcodq5mZtUzNNgkCXwK7RsS3gQpgT0l9gWHA6IjYFBidus3MzBqt2SbByMxLnW3TXwD7Azem728EhpQ+OjMzaw2abRIEkNRG0iTgQ+DRiHgGWDciZgCk/12LjHu8pCpJVTNnzixZzGZm1nI06yQYEYsiogLoDvSRtE0jxr0mInpFRK8uXbo0WYxmZtZyNeskWC0iZgNjgD2BDyR1A0j/PyxfZGZm1pI12yQoqYukTulze2B34GXgfmBoGmwocF9ZAjQzsxavOd8n2A24UVIbsmR9V0Q8KOlp4C5JxwBvAweVM0gzM2u5mm0SjIjJwHZ1fD8L2K30EZk1PZ2nRg0fA8c3USRm+dBsm0PNzMyampOgmZnllpOgmZnllpOgmZnlVkmToKT2kjYvZZlmZmbFlCwJStoPmAT8PXVXSLq/VOWbmZnVVsojweFAH2A2QERMAnqUsHwzM7MaSpkEF0bEnBKWZ2ZmVq9S3iz/gqQfAW0kbQqcCvyrhOWbmZnVUMojwR8DW5O9LPd24FPg9BKWb2ZmVkPJjgQjYj7w8/RnZmZWdiVLgpIeIHszfKE5QBXwl4j4olSxmJmZQWmbQ98A5gF/TX+fAh8Am6VuMzOzkirlhTHbRcSAgu4HJI2NiAGSppQwDjMzM6C0R4JdJG1Y3ZE+r5M6vyphHGZmZkBpjwTPBJ6S9DogYGPgJEkdgBtLGIeZmRlQ2qtDH073B25BlgRfLrgY5vJSxWFmZlat1G+W3xTYHGgH9JRERNxU4hjMzMyA0t4icS4wENgKeBjYC3gKcBJsLZ6oavw4O/dy2WZWNqW8MOb7wG7A+xFxFPBtYNUSlm9mZlZDKZPg5xGxGFgoaQ3gQ2CTEpZvZmZWQynPCVZJ6kR2Y/wEshvnny1h+WZmZjWU8urQk9LHqyX9HVgjIiaXqnwzM7PaSvlm+dHVnyNiWkRMLvzOzMys1Jr8SFBSO2A1YB1Ja5HdIwiwBrBeU5dvZmZWTCmaQ08ge2/gemTnAquT4KfAVSUo38zMrE5NngQj4g/AHyT9OCKuaOryzMzMGqqUF8ZcIWlHoEdhuX5ijJmZlUspnxhzM/BNYBKwKH0d+IkxZrmn87TsgQrEubXfz222fEp5n2AvYKuI8NJrZmbNQimfGPMC8I0SlmdmZlavUh4JrgO8KOlZ4MvqLyPiuyWMwczMbIlSJsHhJSzLzMxsmUp5degTkjYCNo2IxyStBrQpVflmZma1lfKxaccBdwN/SV+tD9xbqvLNzMxqK+WFMScD/cmeFENETAW6lrB8MzOzGkqZBL+MiK+qOyStTHafoJmZWVmUMgk+IelsoL2kPYCRwAMlLN/MzKyGUibBYcBM4D9kD9V+GPhFCcs3MzOroZS3SLQHro+IvwJIapO+m1/XwJI2IHuk2jeAxcA1EfEHSWsDd5I9g3Qa8IOI+KTJozczs1anlEeCo8mSXrX2wGP1DL8QODMitgT6AidL2orsiHJ0RGyapjmsieI1M7NWrpRJsF1EzKvuSJ9XKzZwRMyIiOfS57nAS2S3VewP3JgGuxEY0lQBm5lZ61bK5tDPJFVWJzZJ2wOfN2REST2A7YBngHUjYgZkiVJSnbdZSDoeOB5gww03/PrRm1lNT1Q1fpyde7X8sq1VKWUSPA0YKem91N0NOHhZI0laHbgHOD0iPpUa9sqViLgGuAagV69evhXDzMyWUpIkmC6C2QnYAtgcEPByRCxYxnhtyRLgrRHxt/T1B5K6paPAbsCHTRi6mZm1YiU5JxgRi4D9I2JBRLwQEf9pQAIUcB3wUkRcVtDrfmBo+jwUuK9JgjYzs1avlM2h4yRdSXZ7w2fVX1afI6xDf+Bw4D+SJqXvzgYuBu6SdAzwNnBQk0VsZmatWimT4I7p//kF3wWwa10DR8RTZM2mddltBcZlZmY5VcpXKe1SqrLMzMwaopSvUlpX0nWS/i91b5WaNM3MzMqilDfL3wD8A1gvdb8KnF7C8s3MzGooZRJcJyLuInsOKBGxEFhUwvLNzMxqKGUS/ExSZ9I7BCX1BeaUsHwzM7MaSnl16P+S3eO3iaRxQBfg+yUs38zMrIZSJsEXgVFkr06aC9xLdl7QzMysLErZHHoT2WPTLgKuADYFbi5h+WZmZjWU8khw84j4dkH345KeL2H5ZmZmNZTySHBiuhgGAEk7AONKWL6ZmVkNpTwS3AE4QtLbqXtD4CVJ/wEiInqWMBYzM7OSJsE9S1iWmZnZMpXy2aFvlaosMzOzhijlOUEzM7NmxUnQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyy0nQzMxyq5Qv1TVrMJ2nRg0fA8c3USRm1pr5SNDMzHLLSdDMzHLLSdDMzHLLSdDMzHLLF8aY1eKLcszyw0eCZmaWW06CZmaWW06CZmaWW06CZmaWW06CZmaWW806CUq6XtKHkl4o+G5tSY9Kmpr+r1XOGM3MrOVq1kkQuAHYs9Z3w4DREbEpMDp1m5mZNVqzToIRMRb4uNbX+wM3ps83AkNKGZOZmbUezToJFrFuRMwASP+7ljkeMzNroVpiEmwQScdLqpJUNXPmzHKHY2ZmzVBLTIIfSOoGkP5/WNdAEXFNRPSKiF5dunQpaYBmZtYytMQkeD8wNH0eCtxXxljMzKwFa9ZJUNLtwNPA5pKmSzoGuBjYQ9JUYI/UbWZm1mjN+i0SEXFIkV67lTQQMzNrlZr1kaCZmVlTchI0M7PcchI0M7PcchI0M7PcatYXxthyeKKq8ePs3KvOr3WeGjWZGDi+8WWbtUSNXc+KrGNWfj4SNDOz3HISNDOz3HISNDOz3HISNDOz3HISNDOz3HISNDOz3HISNDOz3HISNDOz3HISNDOz3PITY8ws1xr7ZCTw05FaEx8JmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbjkJmplZbvktEs1cY59w76fbm5k1nI8Ezcwst5wEzcwst5wEzcwst5wEzcwst3xhjJlZS/JEVeOG37lX08TRSvhI0MzMcstJ0MzMcstJ0MzMcstJ0MzMcssXxjQFn7g2swZo7BOhwE+FWtF8JGhmZrnVYpOgpD0lvSLpNUnDyh2PmZm1PC0yCUpqA1wF7AVsBRwiaavyRmVmZi1Ni0yCQB/gtYh4IyK+Au4A9i9zTGZm1sIoIsodQ6NJ+j6wZ0Qcm7oPB3aIiFMKhjkeOD51bg68soKKXwf4aAVNq6XKex3k/feD6wDyUQcbRUSXcgfRlFrq1aF1XVJVI5tHxDXANSu8YKkqInJ9OWfe6yDvvx9cB+A6aC1aanPodGCDgu7uwHtlisXMzFqolpoExwObStpY0irAD4H7yxyTmZm1MC2yOTQiFko6BfgH0Aa4PiKmlKj4Fd7E2gLlvQ7y/vvBdQCug1ahRV4YY2ZmtiK01OZQMzOzr81J0MzMcstJsAhJ7SQ9K+l5SVMknZe+X1vSo5Kmpv9rlTvWpiapjaSJkh5M3bmqA0nTJP1H0iRJVem73NSBpE6S7pb0sqSXJPXL2e/fPM376r9PJZ2epzpozZwEi/sS2DUivg1UAHtK6gsMA0ZHxKbA6NTd2p0GvFTQncc62CUiKgruC8tTHfwB+HtEbAF8m2xZyM3vj4hX0ryvALYH5gOjyFEdtGZOgkVEZl7qbJv+guzxbDem728EhpQ+utKR1B3YB7i24Otc1UERuagDSWsAA4DrACLiq4iYTU5+fx12A16PiLfIbx20Kk6C9UjNgJOAD4FHI+IZYN2ImAGQ/nctY4ilcDnwU2BxwXd5q4MAHpE0IT2OD/JTB5sAM4ERqUn8WkkdyM/vr+2HwO3pc17roFVxEqxHRCxKTSDdgT6StilzSCUlaV/gw4iYUO5Yyqx/RFSSvbXkZEkDyh1QCa0MVAJ/jojtgM/IabNfejDHd4GR5Y7FVhwnwQZIzT9jgD2BDyR1A0j/PyxfZE2uP/BdSdPI3tSxq6RbyFcdEBHvpf8fkp0L6kN+6mA6MD21ggDcTZYU8/L7C+0FPBcRH6TuPNZBq+MkWISkLpI6pc/tgd2Bl8kezzY0DTYUuK8sAZZARPwsIrpHRA+yZqB/RsRh5KgOJHWQ1LH6MzAIeIGc1EFEvA+8I2nz9NVuwIvk5PfXcgj/bQqFfNZBq+MnxhQhqSfZye42ZDsLd0XE+ZI6A3cBGwJvAwdFxMfli7Q0JA0EfhIR++apDiRtQnb0B1nT4G0RcWHO6qCC7MKoVYA3gKNI6wQ5+P0AklYD3gE2iYg56bvcLAOtmZOgmZnllptDzcwst5wEzcwst5wEzcwst5wEzcwst5wEzcwst5wEzcwst5wEzcwst5wEzZqYpHvTw7enVD+AW9Ixkl6VNEbSXyVdmb7vIukeSePTX//yRm/WuvlmebMmJmntiPg4PX5vPDAYGEf2DM65wD+B5yPiFEm3AX+KiKckbQj8IyK2LFvwZq3cyuUOwCwHTpV0QPq8AXA48ET1I7YkjQQ2S/13B7aSVD3uGpI6RsTcUgZslhdOgmZNKD1zdXegX0TMlzQGeAUodnS3Uhr285IEaJZzPido1rTWBD5JCXALoC+wGrCzpLUkrQwcWDD8I8Ap1R3p4dVm1kScBM2a1t+BlSVNBn4F/Bt4F7gIeAZ4jOzVRHPS8KcCvSRNlvQicGLpQzbLD18YY1YGklaPiHnpSHAUcH1EjFrWeGa2YvlI0Kw8hkuaRPaC3jeBe8sajVlO+UjQzMxyy0eCZmaWW06CZmaWW06CZmaWW06CZmaWW06CZmaWW/8fPfu7yj+UlB8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([df[df.target==0].age, df[df.target==1].age], label = [\"no_heart_disease\",\"with heart disease\"],color=[\"green\",\"pink\"])\n",
    "plt.xlabel(\"age\")\n",
    "plt.ylabel(\"percentage\")\n",
    "plt.title(\"Percentage of people diagnosed by heart disease according to their age\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f8f2c9a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([df[df.target==0].trestbps,df[df.target==1].trestbps],label = [\"no_heart_disease\",\"with heart disease\"],color=[\"green\",\"pink\"])\n",
    "plt.xlabel(\"Resting blood pressure(mm Hg on admission to the hospital)\")\n",
    "plt.ylabel(\"percentage\")\n",
    "plt.title(\"Percentage of people diagnosed by heart disease according to their resting blood pressure\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6622ceac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([df[df.target==0].chol, df[df.target==1].chol], label = [\"no_heart_disease\",\"with heart disease\"],color=[\"green\",\"pink\"])\n",
    "plt.xlabel(\"chol\")\n",
    "plt.ylabel(\"percentage\")\n",
    "plt.title(\"Percentage of people diagnosed by heart disease according to the cholesterol \")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b829a5db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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YQb9byO7r2p7snr3l8SDZej5aUkX666MvHgxYnayWc4GkvmQHsPrMBJaQ3U9TSqPX8fIsaxrYPyUdKGmzlEx9ksa3mOxSySfKHoLonMa7naSlHiApUN+yuR3YW9K30v6zrqSqNB83Alcpu9m8g6SdU4J6D3CApL2U1TycRZbkFDuRANwLHKjsQZBVyPbB5T3eFq6TDYDvNVB+Bkuv4zvIjnlVaV4uBZ6LiKlFhm3MNlJrOY4hdWNrKyYA+0taR9JXyG5LaW71HU9q1LcuS54XVtAxrlC9+2epY4WkPSRtr+yBnk/IKiVqzlMTgG+n415v4JsNxFrfObOu1cn231lkCWXtK1MaOA40Rb05UsoT7iW7mrEO8GjB9OvLQ+4Bji04v5/fmGCWO9lLJ91DyGpsZpJlsWeXGmdkl932IdvA3gemAHuk3r8l+xX+iKS5ZDe67lRsPEXUbHyzJL2QpvMDsgXyMdlBfkRBHH8Dfkf2YMRrZDUwkK14yK6zvwY8q6x69zGye/GKuZGs1mY02bupFlB/AlTMA2T3hkwgS4JuSHEOJ/sFdFeK4yVgv9RvFtmOdxbZxvoj4MCIKKy5u5Xsvor3yaqkSz25eAzZCfhlsuV1L0tfii90IVmV8ZtkB/j6aqx+SLbs55JtuDVJLCnOw4ErUvzbkB2IPl92NEUdSfZL7D2yROr8iHg09dsXmKTsaejfkt1LsaAR2+t3yLa5j8h2nlsaiOF9suX1HlnycEpE/Lug/3DS7Ql1LoU0WtqWBwLfTtN5n2ybqDnonApclPaZ88i2+frGNx+4BHha2eWBfkWKNWUdN3lZN7R/kt278hjZfcLPAL+PiFHph8pBZA/kvEn26/fPZL/Kiym5bCLibbJLx2eRre8JZDdaQ7bd/ovsZumPyJb3ShHxCnAU2Q3xH6ZYDoqI/xSbeERMIvsRcwfZL/GPWfZWhca6KA37JtmyuZf695ULgJvTOv5WRIwku+fwvhTLV8m2qWJxN2Ybqaspx5ClYmvEuFuLW4EXyS73PULB8ayZNHQ8AaC+ddmI80JzH+MK42po/yx6rCD7kX8vWaI3mexBpJqnWX+W5u9jsuNSTc1XUfWdM4u4hew49y7Zdvtsnf5FjwP1Tb9IPI3Jke4gq10cVqeSqGQeknKY35A99PNa+t+gmqep2q1US/IS0LGJNXLNMe2gGV8wWjDeUWQ3ibaVN/SvRHYyGxwRj5c7nuai7JU7J0fEY+WOxfJD0n+TnSxL1Z6ZfSnKXhFyW0Q09vYaa+Xa44uOUfYZs1WUvffocuCvLZ3otXepanutVDVecz9f3V9XbZakb5DdT9KoX11mpUjqIWnXdIl0S7Kam+W9NcDM2qF2meyRvdtnJtnTNotZ+n4yaxk7ky3/mktih0b2lHebl2pW/wCclu6/MPsyViF7wnUu2Y+HB8hegWVm1ijt/jKumZmZWZ75e3K2FElTyWoQFgOLIqK3sk+t3U32UMRU4FsR8XG5YjQzM7PGc82eLSUle70Ln+yVdAXZaywuU/aS27Uj4n/rG0/Xrl2jV69eKzRWM7O8GTdu3IcRUepF/mbLxTV71hiHkH0+B+Bmss+x1Zvs9erVi7Fjx9ZXxMzM6pDUqC8imDVFe31Aw0oLsvcdjpN0Uuq2Xnp5as1LVIt+CknSSZLGSho7c+bMFgrXzMzM6uOaPatr14h4L725+1FJRV+iWUxE/BH4I0Dv3r19f4CZmVkr4Jo9W0pE1Hzf9QOyd3n1BWZIqvmIfQ/gg/JFaGZmZk3hmj2rpeyj1ytFxNzUPJDsU00jgCHAZen/A8sz/oULFzJt2jQWLFjQXCFbG9KpUyd69uxJRUVFuUMxM2tXnOxZofWA4ZIg2zbuiIj/kzQGuEfS8cDbZN+1bbJp06ax+uqr06tXL9I0rJ2ICGbNmsW0adPYZJNNyh2OmVm74mTPakXEG3zxQfjC7rOAvb7s+BcsWOBEr52SxLrrrosf3DEza3m+Z89alBO99svr3sysPJzsmZmZmeWYL+Na2ejC5q3pifP9thczM7O6nOyZNdGAAQO48sor6d27d7OP+9JLL+Xcc89tdPkLLriA1VZbjR/+8Iecd9559O/fn7333rvZ47JW4onl+CrN7s2/nZpZ2+LLuGatQESwZMkSLr300uUex0UXXeREz8zMluFkz9qVqVOnsvXWW3PiiSey7bbbMnDgQD777DMmTJhAv379qKys5Otf/zoff/xxveMZNmwYffv2ZYsttuDJJ58EYPHixZx99tn06dOHyspKrr/+egDmzZvHXnvtRXV1Ndtvvz0PPPDAUrGceuqpVFdXc/zxx/PZZ59RVVXF4MGDS077kksuYcstt2TvvffmlVdeqe1+7LHHcu+99wJwzjnnsM0221BZWckPf/hDAGbOnMk3vvEN+vTpQ58+fXj66acBeP7559lll13YYYcd2GWXXWrHOWnSJPr27UtVVRWVlZVMmTIFgNtuu622+8knn8zixYubvB7MzKzlONmzdmfKlCmcdtppTJo0ibXWWov77ruPY445hssvv5yJEyey/fbbc+GFF9Y7jkWLFvH888/zm9/8prbsDTfcwJprrsmYMWMYM2YMf/rTn3jzzTfp1KkTw4cP54UXXuDxxx/nrLPOIiK7v/CVV17hmGOOYfz48dx000107tyZCRMmcPvttxed7rhx47jrrrsYP348f/nLXxgzZswyZT766COGDx/OpEmTmDhxIj/96U8BOP300znzzDMZM2YM9913HyeccAIAW221FaNHj2b8+PFcdNFFtZeRr7vuOk4//XQmTJjA2LFj6dmzJ5MnT+buu+/m6aefZsKECXTo0KFkrGZm1jr4nj1rdzbZZBOqqqoA2HHHHXn99deZPXs2u+++OwBDhgzh8MPrf2/0YYcdVjv81KlTAXjkkUeYOHFibe3anDlzmDJlCj179uTcc89l9OjRrLTSSrz77rvMmDEDgI033ph+/fo1OvYnn3ySr3/966y66qoAHHzwwcuUWWONNejUqRMnnHACBxxwAAceeCAAjz32GC+//HJtuU8++YS5c+cyZ84chgwZwpQpU5DEwoULAdh555255JJLmDZtGocddhibb745I0eOZNy4cfTp0weAzz77jO7duzc6fmvDfL+gWZvlZM/anY4dO9Y2d+jQgdmzZy/3ODp06MCiRYuA7L67q6++mkGDBi1VdujQocycOZNx48ZRUVFBr169aj8Z16VLlyZPu6H31a288so8//zzjBw5krvuuotrrrmGf/zjHyxZsoRnnnmGzp07L1X++9//PnvssQfDhw9n6tSpDBgwAIDvfOc77LTTTjz00EMMGjSIP//5z0QEQ4YM4Re/+EWT4zYzs/Jwsmdl01pelbLmmmuy9tpr8+STT7Lbbrtx66231tbyNcWgQYP4wx/+wJ577klFRQWvvvoqG2ywAXPmzKF79+5UVFTw+OOP89Zbb5UcR0VFBQsXLiz5/dj+/ftz7LHHcs4557Bo0SL++te/cvLJJy9VZt68ecyfP5/999+ffv36sdlmmwEwcOBArrnmGs4++2wAJkyYQFVVFXPmzGGDDTYAssS0xhtvvMGmm27KD37wA9544w0mTpzIwIEDOeSQQzjzzDPp3r07H330EXPnzmXjjTdu8vIyM7OW4WTPDLj55ps55ZRTmD9/Pptuuik33XRTk8dxwgknMHXqVKqrq4kIunXrxv3338/gwYM56KCD6N27N1VVVWy11VYlx3HSSSdRWVlJdXV10XvhqqurOeKII6iqqmLjjTdmt912W6bM3LlzOeSQQ1iwYAERwa9//WsAfve733HaaadRWVnJokWL6N+/P9dddx0/+tGPGDJkCFdddRV77rln7XjuvvtubrvtNioqKvjKV77CeeedxzrrrMPFF1/MwIEDWbJkCRUVFVx77bVO9szMWjHV3Chu1px69+4dY8cufY/P5MmT2XrrrcsUkbUG3ga+pHLeN+d79lqEpHER4QVnzcpP45qZmZnlmC/jmpVw2mmn1b6Lrsbpp5/Od7/73RU+7VmzZrHXXnst033kyJGsu+66K3z6ZmaWH072zEq49tpryzbtddddlwkTJpRt+mZmlh++jGtmZmaWY072zMzMzHLMyZ6ZmZlZjvmePSuf5XmVQ32a4TUP+++/P3fccQcAd9xxB6eeeioAo0aN4sorr+TBBx+sd/gBAwZw5ZVX0rt387854dJLL639bm19hg4dytixY7nmmmu47rrrWHXVVTnmmGOaPR4zM2sbXLNnVuDhhx9mrbXWYvbs2fz+978vdzhA9hm2JUuWcOmllzZ52FNOOcWJnplZO+dkz9qNK664gt/97ncAnHnmmbVfixg5ciRHHXUUAL169eLDDz/knHPO4fXXX6eqqqr282Lz5s3jm9/8JltttRWDBw+m1AvJhw0bRt++fdliiy148sknAVi8eDFnn302ffr0obKykuuvv752nHvttRfV1dVsv/32PPDAAwBMnTqVrbfemlNPPZXq6mqOP/54PvvsM6qqqhg8ePAy07zpppvYYost2H333Zd6XcwFF1zAlVdeCWRf0Nhmm22orKzk29/+NgCffvopxx13HH369GGHHXZYavq77bYb1dXVVFdX889//hOA6dOn079/f6qqqthuu+1q5++RRx5h5513prq6msMPP5x58+Yt1zoyM7Pm58u41m7079+fX/3qV/zgBz9g7NixfP755yxcuJCnnnpqmc+OXXbZZbz00ku1rz8ZNWoU48ePZ9KkSay//vrsuuuuPP3003zta19bZjqLFi3i+eef5+GHH+bCCy/kscce44YbbmDNNddkzJgxfP755+y6664MHDiQDTfckOHDh7PGGmvw4Ycf0q9fPw4++GAAXnnlFW666abaGsZhw4YVfR3L9OnTOf/88xk3bhxrrrkme+yxBzvssMMy5S677DLefPNNOnbsyOzZswG45JJL2HPPPbnxxhuZPXs2ffv2Ze+996Z79+48+uijdOrUiSlTpnDkkUcyduxY7rjjDgYNGsRPfvITFi9ezPz58/nwww+5+OKLeeyxx+jSpQuXX345V111Feedd96XWFtmZtZcnOxZu7Hjjjsybtw45s6dS8eOHamurmbs2LE8+eSTtTV+9enbty89e/YEoKqqiqlTpxZN9g477LDa6U2dOhXIar4mTpzIvffeC8CcOXOYMmUKPXv25Nxzz2X06NGstNJKvPvuu8yYMQOAjTfemH79+jUY13PPPceAAQPo1q0bAEcccQSvvvrqMuUqKysZPHgwhx56KIceemhtXCNGjKit/VuwYAFvv/0266+/Pt/73veYMGECHTp0qB1fnz59OO6441i4cCGHHnooVVVVPPHEE7z88svsuuuuAPznP/9h5513bjBuMzNrGU72rN2oqKigV69e3HTTTeyyyy5UVlby+OOP8/rrrzfqe60dO3asbe7QoQOLFi2qt1xhmYjg6quvZtCgQUuVHTp0KDNnzmTcuHG18S1YsACALl26NHreJDVY5qGHHmL06NGMGDGCn//850yaNImI4L777mPLLbdcquwFF1zAeuutx4svvsiSJUvo1KkTkNWOjh49moceeoijjz6as88+m7XXXpt99tmHO++8s9HxmplZy/E9e9au9O/fnyuvvJL+/fuz2267cd1111FVVbVMsrT66qszd+7cZpvuoEGD+MMf/sDChQsBePXVV/n000+ZM2cO3bt3p6Kigscff5y33nqr5DgqKipqhy+00047MWrUKGbNmsXChQsZNmzYMmWWLFnCO++8wx577MEVV1zB7NmzmTdvHoMGDeLqq6+uvf9w/PjxQFbz2KNHD1ZaaSVuvfVWFi9eDMBbb71F9+7dOfHEEzn++ON54YUX6NevH08//TSvvfYaAPPnzy9as2hmZuXhmj0rn2Z4VUpT7bbbblxyySXsvPPOdOnShU6dOi1zvx5knyvbdddd2W677dhvv/044IADvtR0TzjhBKZOnUp1dTURQbdu3bj//vsZPHgwBx10EL1796aqqoqtttqq5DhOOukkKisrqa6u5vbbb6/t3qNHDy644AJ23nlnevToQXV1dW1yVmPx4sUcddRRzJkzh4jgzDPPZK211uJnP/sZZ5xxBpWVlUQEvXr14sEHH+TUU0/lG9/4BsOGDWOPPfaorWUcNWoUv/zlL6moqGC11VbjlltuoVu3bgwdOpQjjzySzz//HICLL76YLbbY4kstMzMzax4q9USh2ZfRu3fvGDt26ffoTZ48uVGXSy2/vA18Scvzbsrm+lFVzmm3I5LGRYQXnDUrX8Y1MzMzyzEne2ZmZmY55mTPWpRvG2i/vO7NzMrDyZ61mE6dOjFr1iyf9NuhiGDWrFm1r3AxM7OW46dxrcX07NmTadOmMXPmzHKHYmXQqVOn2pdSm5lZy3GyZy2moqKCTTbZpNxhmJmZtSu+jGtmZmaWY072bBmSOkgaL+nB1L6OpEclTUn/1y53jGZmZtY4TvasmNOByQXt5wAjI2JzYGRqNzMzszbAyZ4tRVJP4ADgzwWdDwFuTs03A4e2cFhmZma2nJzsWV2/AX4ELCnotl5ETAdI/7sXG1DSSZLGShrrJ27NzMxaByd7VkvSgcAHETFueYaPiD9GRO+I6N2tW7dmjs7MzMyWh1+9YoV2BQ6WtD/QCVhD0m3ADEk9ImK6pB7AB2WN0szMzBrNNXtWKyJ+HBE9I6IX8G3gHxFxFDACGJKKDQEeKFOIZmZm1kRO9qwxLgP2kTQF2Ce1m5mZWRvgy7hWVESMAkal5lnAXuWMx8zMzJaPa/bMzMzMcszJnpmZmVmOOdkzMzMzyzEne2ZmZmY55mTPzMzMLMec7JmZmZnlmJM9MzMzsxxzsmdmZmaWY072zMzMzHLMyZ6ZmZlZjjnZMzMzM8sxJ3tmZmZmOeZkz8zMzCzHnOyZmZmZ5ZiTPTMzM7Mcc7JnZmZmlmNO9szMzMxyzMmemZmZWY452TMzMzPLMSd7ZmZmZjnmZM/MzMwsx5zsmZmZmeWYkz0zMzOzHHOyZ2ZmZpZjTvbMzMzMcszJnpmZmVmOOdkzMzMzyzEne2ZmZmY55mTPzMzMLMec7JmZmZnlmJM9MzMzsxxzsmdmZmaWY072ck5SZ0lbljsOMzMzKw8nezkm6SBgAvB/qb1K0oiyBmVmZmYtyslevl0A9AVmA0TEBKBXqcKSOkl6XtKLkiZJujB1X0fSo5KmpP9rr/DIzczMrFk42cu3RRExpwnlPwf2jIj/AqqAfSX1A84BRkbE5sDI1G5mZmZtgJO9fHtJ0neADpI2l3Q18M9ShSMzL7VWpL8ADgFuTt1vBg5dcSGbmZlZc1q53AHYCvV94CdkNXZ3An8Hfl7fAJI6AOOAzYBrI+I5SetFxHSAiJguqXuJYU8CTgLYaKONmm0mzFYkXagmlY/zYwVFYma2YjjZy7GImE+W7P2kCcMsBqokrQUMl7RdE4b9I/BHgN69e/uMaGZm1go42csxSX8luwxbaA4wFrg+IhaUGjYiZksaBewLzJDUI9Xq9QA+WFExm5mZWfPyPXv59gYwD/hT+vsEmAFskdqXIqlbqtFDUmdgb+DfwAhgSCo2BHhgRQduZmZmzcM1e/m2Q0T0L2j/q6TREdFf0qQi5XsAN6f79lYC7omIByU9A9wj6XjgbeDwFR+6mZmZNQcne/nWTdJGEfE2gKSNgK6p33/qFo6IicAORbrPAvZakYGatUdNfjhkwJgVFImZ5ZmTvXw7C3hK0uuAgE2AUyV14YtXqZiZmVmOOdnLsYh4WNLmwFZkyd6/Cx7K+E3ZAjMzM7MW42Qv/zYHtgQ6AZWSiIhbyhyTmZmZtRAnezkm6XxgALAN8DCwH/AU4GTPzMysnfCrV/Ltm2QPVrwfEd8F/gvoWN6QzMzMrCU52cu3zyJiCbBI0hpkL0PetMwxmZmZWQvyZdx8G5tekvwnsu/dzgOeL2tEZmZm1qKc7OVYRJyaGq+T9H/AGuldematSpPfN3e+P71sZtZYvoybY5JG1jRHxNSImFjYzczMzPLPNXs5JKkTsCrQVdLaZO/YA1gDWL9sgZmZmVmLc7KXTycDZ5AlduP4Itn7BLi2TDGZmZlZGTjZy6GI+C3wW0nfj4iryx2PmZmZlY+TvRyLiKsl7QL0omBd+wsaZmZm7YeTvRyTdCvwVWACsDh1DvwFDTMzs3bDyV6+9Qa2iQi/p8LMzKyd8qtX8u0l4CvlDsLMzMzKxzV7+dYVeFnS88DnNR0j4uDyhWRmZmYtyclevl1Q7gDMzMysvJzs5VhEPCFpY2DziHhM0qpAh3LHZWZmZi3H9+zlmKQTgXuB61OnDYD7yxaQmZmZtTgne/l2GrAr2ZcziIgpQPeyRmRmZmYtyslevn0eEf+paZG0Mtl79szMzKydcLKXb09IOhfoLGkfYBjw1zLHZGZmZi3IyV6+nQPMBP4FnAw8DPy0rBGZmZlZi/LTuPnWGbgxIv4EIKlD6ja/rFGZmZlZi3Gyl28jgb2Beam9M/AIsEvZIjJr654Y2/Rhdu/d/HG0N01d7l7mZrV8GTffOkVETaJHal61jPGYmZlZC3Oyl2+fSqquaZG0I/BZGeMxMzOzFubLuPl2OjBM0nupvQdwRBnjMTMzsxbmZC+n0sMYuwFbAVsCAv4dEQvLGpiZmZm1KF/GzamIWAwcEhELI+KliPiXEz0zM7P2xzV7+fa0pGuAu4FPazpGxAvlC8nMzMxakpO9fKt5xcpFBd0C2LMMsZiZmVkZONnLsYjYo9wxmJmZWXn5nr0ck7SepBsk/S21byPp+HrKbyjpcUmTJU2SdHrqvo6kRyVNSf/Xbql5MDMzsy/HyV6+DQX+Dqyf2l8Fzqin/CLgrIjYGugHnCZpG7Jv7I6MiM3JvspxzooK2MzMzJqXk7186xoR9wBLACJiEbC4VOGImF7z8EZEzAUmAxsAhwA3p2I3A4euwJjNzMysGTnZy7dPJa1L9lAGkvoBcxozoKRewA7Ac8B6ETEdsoQQ6L5CojUzM7Nm5wc08u1/gBHAppKeBroB32xoIEmrAfcBZ0TEJ5IaNTFJJwEnAWy00UbLG7OZmZk1I9fs5dvLwHBgDDAD+BPZfXslSaogS/Ruj4i/pM4zJPVI/XsAHxQbNiL+GBG9I6J3t27dmmkWzMzM7Mtwspdvt5B9Lu1S4Gpgc+DWUoWVVeHdAEyOiKsKeo0AhqTmIcADKyRaMzMza3a+jJtvW0bEfxW0Py7pxXrK7wocDfxL0oTU7VzgMuCe9NqWt4HDV0SwZmZm1vyc7OXbeEn9IuJZAEk7AU+XKhwRTwGlbtDbawXEZ2ZmZiuYk7182wk4RtLbqX0jYLKkfwEREZXlC83MzMxagpO9fNu33AGYmZlZeTnZy7GIeKvcMZiZmVl5+WlcMzMzsxxzsmdmZmaWY072zMzMzHLMyZ6ZmZlZjjnZMzMzM8sxJ3tmZmZmOeZkz8zMzCzHnOyZmZmZ5ZiTPTMzM7Mc8xc0zAwAXagmlY/zYwVFYi2hyet7wJgVFImZrWiu2TMzMzPLMSd7ZmZmZjnmZM/MzMwsx5zsmZmZmeWYkz0zMzOzHHOyZ2ZmZpZjTvbMzMzMcszJnpmZmVmOOdkzMzMzyzEne2ZmZmY55mTPzMzMLMec7JmZmZnlmJM9MzMzsxxzsmdmZmaWY072zMzMzHLMyZ6ZmZlZjjnZMzMzM8sxJ3tmZmZmOeZkz8zMzCzHnOyZmZmZ5ZiTPTMzM7Mcc7JnS5F0o6QPJL1U0G0dSY9KmpL+r13OGM3MzKzxnOxZXUOBfet0OwcYGRGbAyNTu5mZmbUBTvZsKRExGvioTudDgJtT883AoS0Zk5mZmS0/J3vWGOtFxHSA9L97meMxMzOzRlq53AFYfkg6CTgJYKONNipzNG2TLlSTysf5sYIiaYQnxjZ9mN17N38cZmZWL9fsWWPMkNQDIP3/oFihiPhjRPSOiN7dunVr0QDNzMysOCd71hgjgCGpeQjwQBljMTMzsyZwsmdLkXQn8AywpaRpko4HLgP2kTQF2Ce1m5mZWRvge/ZsKRFxZIlee7VoIGZmZtYsXLNnZmZmlmNO9szMzMxyzMmemZmZWY75nj0za3v8jj8zs0ZzzZ6ZmZlZjjnZMzMzM8sxJ3tmZmZmOeZkz8zMzCzHnOyZmZmZ5ZiTPTMzM7Mcc7JnZmZmlmNO9szMzMxyzMmemZmZWY452TMzMzPLMSd7ZmZmZjnmZM/MzMwsx1YudwBmrY0uVJPKx/mxgiIxMzP78lyzZ2ZmZpZjTvbMzMzMcszJnpmZmVmOOdkzMzMzyzE/oGFmZlafJ8Y2rfzuvVdMHGbLyTV7ZmZmZjnmZM/MzMwsx5zsmZmZmeWY79kzM7MW1dQXlwPEgDErIBKz9sE1e2ZmZmY55mTPzMzMLMec7JmZmZnlmJM9MzMzsxxzsmdmZmaWY072zMzMzHLMyZ6ZmZlZjvk9e9YqNfU9XHF+rKBIGqGp382E5vt2ZjmnbdYG+R1/1h65Zs/MzMwsx5zsWaNJ2lfSK5Jek3ROueMxMzOzhjnZs0aR1AG4FtgP2AY4UtI25Y3KzMzMGuJkzxqrL/BaRLwREf8B7gIOKXNMZmZm1gBFlPHGdmszJH0T2DciTkjtRwM7RcT3CsqcBJyUWrcEXmnxQJfVFfiw3EEsp7YcO7Tt+Nty7NC242/vsW8cEd2aIxizGn4a1xqr2CNsS/1SiIg/An9smXAaR9LYiGiTj5+25dihbcfflmOHth2/Yzdrfr6Ma401DdiwoL0n8F6ZYjEzM7NGcrJnjTUG2FzSJpJWAb4NjChzTGZmZtYAX8a1RomIRZK+B/wd6ADcGBGTyhxWY7Sqy8pN1JZjh7Ydf1uOHdp2/I7drJn5AQ0zMzOzHPNlXDMzM7Mcc7JnZmZmlmNO9iw3JJ0paZKklyTdKamTpHUkPSppSvq/drnjrCHpRkkfSHqpoFvJeCX9OH2q7hVJg8oTdW0sxWL/paR/S5ooabiktQr6tZrYUzzLxF/Q74eSQlLXgm6tJv5SsUv6fopvkqQrCrq3mthTPMW2nSpJz0qaIGmspL4F/VpN/JI2lPS4pMlpOZ+eureJ/dbasYjwn//a/B+wAfAm0Dm13wMcC1wBnJO6nQNcXu5YC2LuD1QDLxV0Kxov2SfqXgQ6ApsArwMdWlnsA4GVU/PlrTX2UvGn7huSPYT0FtC1NcZfYtnvATwGdEzt3Vtj7PXE/wiwX2reHxjVGuMHegDVqXl14NUUY5vYb/3Xfv9cs2d5sjLQWdLKwKpk7wE8BLg59b8ZOLQ8oS0rIkYDH9XpXCreQ4C7IuLziHgTeI3sE3ZlUSz2iHgkIhal1mfJ3sUIrSx2KLnsAX4N/IilXxjequIvEft/A5dFxOepzAepe6uKHUrGH8AaqXlNvniHZ6uKPyKmR8QLqXkuMJnsh2ab2G+t/XKyZ7kQEe8CVwJvA9OBORHxCLBeRExPZaYD3csXZaOUincD4J2CctNSt9bqOOBvqblNxC7pYODdiHixTq+2EP8WwG6SnpP0hKQ+qXtbiB3gDOCXkt4h249/nLq32vgl9QJ2AJ4jP/ut5ZSTPcuFdI/MIWSXStYHukg6qrxRNasGP1fXWkj6CbAIuL2mU5FirSp2SasCPwHOK9a7SLdWFT9ZrfbaQD/gbOAeSaJtxA5ZzeSZEbEhcCZwQ+reKuOXtBpwH3BGRHxSX9Ei3coev7U/TvYsL/YG3oyImRGxEPgLsAswQ1IPgPT/g3rG0RqUirdNfK5O0hDgQGBwRNSc1NpC7F8l+6HwoqSpZDG+IOkrtI34pwF/iczzwBKgK20jdoAhZPsswDC+uNTZ6uKXVEGW6N0eETUxt+n91vLPyZ7lxdtAP0mrphqNvcjupxlBdiIh/X+gTPE1Vql4RwDfltRR0ibA5sDzZYivJEn7Av8LHBwR8wt6tfrYI+JfEdE9InpFRC+yk3R1RLxPG4gfuB/YE0DSFsAqwIe0jdghS4B2T817AlNSc6uKPx1bbgAmR8RVBb3a7H5r7YM/l2a5EBHPSboXeIHsEuJ4sk8XrUZ2Set4soTw8PJFuTRJdwIDgK6SpgHnA5dRJN6ImCTpHuBlsvk7LSIWlyVwSsb+Y7KnDh/Nzok8GxGntLbYoXj8EXFDsbKtLf4Sy/5G4Mb0OpP/AENSzWqrih1Kxn8i8Nv0cNUC4CRofcse2BU4GviXpAmp27m0kf3W2i9/Ls3MzMwsx3wZ18zMzCzHnOyZmZmZ5ZiTPTMzM7Mcc7JnZmZmlmNO9szMzMxyzMmeWTsmKSTdWtC+sqSZkh5M7QdLOqeBcayfXntTFpKGSvpmke4DauajGaYxVVLX5hiXmVlL83v2zNq3T4HtJHWOiM+AfYB3a3pGxAiyF8OWFBHvAcskW5aRtHJELGqhaXXwe9zMrC7X7JnZ34ADUvORwJ01PSQdK+ma1DxU0u8k/VPSGzW1aZJ6pZf51pS/X9JfJb0p6XuS/kfSeEnPSlonlRslqXdq7po+Udbo4YvYW9KTkl6VdGDdnpLWSeOdmMZT2UD3dSU9kqZ7PcW/cYqkeZJ+JekFSSMldSuYv0slPQGcLmlHSU9IGifp7wWf1vqBpJfT9O9K3XaXNCH9jZe0et1aSknXSDo2NU+VdJ6kp4DDJQ2U9EyKaZiy77iaWTvmZM/M7iL7pFMnoBJ4rp6yPYCvkX3/9rISZbYDvkP2fdNLgPkRsQPwDHBMI+JZnuF7kX1u6wDgujQvhS4ExkdEJdkXD25poPv5wFNpuiOAjUpMtwvwQkRUA0+k4WqsFRG7A78Drga+GRE7kn3t4pJU5hxghzT9U1K3H5J9aaEK2A34rMS0Cy2IiK8BjwE/BfZOMY0F/qcRw5tZjvkyrlk7FxETJfUiq9V7uIHi90fEEuBlSeuVKPN4RMwF5kqaA/w1df8XWTLZkOUZ/p4U1xRJbwBb1en/NeAbABHxj1Rzt2Y93fsDh6XuD0n6uMR0lwB3p+bbgL8U9KvpviVZAlvzGbkOwPTUbyJwu6T7yb5vC/A0cJWk24G/RMS0NFx9aqbVD9gGeDoNswpZkmxm7ZiTPTODrPbqSrJvlq5bT7nPC5pLZSCFZZYUtC/hi2POIr64slC3Fq4xw9dV97uPdduLxRr1dC82jsYoHObTgmlPioidi5Q/gCyxPBj4maRtI+IySQ8B+wPPStqbpZcXLLvMCqf1aEQcuRyxm1lO+TKumUF2afGiiPhXC01vKrBjam6OhzsOl7SSpK8CmwKv1Ok/GhgM2VO6wIcR8Ukju+8HrF1iuisVxP8d4KkiZV4BuknaOY2vQtK2klYCNoyIx4EfAWsBq0n6akT8KyIuJ7sMuxXwFrCNpI6p5nGvEvE8C+wqabM0rVUlbVGirJm1E67ZMzMiYhrw2xac5JXAPZKOBv7RDON7heyeufWAUyJiQZ1LnxcAN0maCMwHhjTQ/ULgTkkvpPG+XWK6nwLbShoHzAGOqFsgIv6THmb5XUrUVgZ+A7wK3Ja6Cfh1RMyW9HNJewCLgZeBv0XE55LuIbvsOwUYXyyYiJiZHty4U1LH1PmnaVpm1k4pYnmuVJiZmaR5EeGnXc2sVfNlXDMzM7Mcc82emZmZWY65Zs/MzMwsx5zsmZmZmeWYkz0zMzOzHHOyZ2ZmZpZjTvbMzMzMcuz/AQlLq95lMw3yAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([df[df.target==0].thalach,df[df.target==1].thalach],label = [\"no_heart_disease\",\"with heart disease\"],color=[\"green\",\"pink\"])\n",
    "plt.xlabel(\"Minimum blood pressure \")\n",
    "plt.ylabel(\"percentage\")\n",
    "plt.title(\"Percentage of people diagnosed by heart disease according to theit minimum blood pressure achieved\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "64ccd37e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([df[df.target==0].cp,df[df.target==1].cp],label = [\"no_heart_disease\",\"with heart disease\"],color=[\"green\",\"pink\"])\n",
    "plt.xlabel(\" The chest pain experienced (Value 1: typical angina, Value 2: atypical angina, Value 3: non-anginal pain, Value 4: asymptomatic)\")\n",
    "plt.ylabel(\"percentage\")\n",
    "plt.title(\"Percentage of people diagnosed by heart disease according to the chest pain\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f27d5fe",
   "metadata": {},
   "source": [
    "<h2>4.Modelling</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3669345b",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "3   56    1   1       120   236    0        1      178      0      0.8      2   \n",
       "4   57    0   0       120   354    0        1      163      1      0.6      2   \n",
       "\n",
       "   ca  thal  \n",
       "0   0     1  \n",
       "1   0     2  \n",
       "2   0     2  \n",
       "3   0     2  \n",
       "4   0     2  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X=df.drop(['target'], axis=1)\n",
    "y=df['target']\n",
    "\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "34040ede",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(242, 13)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train,X_valid,y_train,y_valid=train_test_split(X,y,test_size=0.2,random_state=0)\n",
    "\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6ec0ac92",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.327733</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>-0.574125</td>\n",
       "      <td>-0.632674</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>0.901639</td>\n",
       "      <td>0.656262</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.724609</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.249032</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>0.831066</td>\n",
       "      <td>0.585437</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.094007</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>0.265165</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.352766</td>\n",
       "      <td>0.696177</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>0.479768</td>\n",
       "      <td>-0.670155</td>\n",
       "      <td>2.392117</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.656262</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>0.955779</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.912932</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>-0.922749</td>\n",
       "      <td>-0.457026</td>\n",
       "      <td>-0.932517</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>0.901639</td>\n",
       "      <td>-0.597999</td>\n",
       "      <td>1.409842</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.240733</td>\n",
       "      <td>0.696177</td>\n",
       "      <td>0.031547</td>\n",
       "      <td>1.299463</td>\n",
       "      <td>-0.276611</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.613011</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>0.955779</td>\n",
       "      <td>0.265165</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0         1         2         3         4         5         6   \\\n",
       "0 -1.327733 -1.436416  0.985842 -0.574125 -0.632674 -0.418040  0.901639   \n",
       "1  1.249032 -1.436416  0.985842  0.831066  0.585437 -0.418040 -0.979367   \n",
       "2  0.352766  0.696177  0.985842  0.479768 -0.670155  2.392117 -0.979367   \n",
       "3  0.912932 -1.436416 -0.922749 -0.457026 -0.932517 -0.418040  0.901639   \n",
       "4  0.240733  0.696177  0.031547  1.299463 -0.276611 -0.418040 -0.979367   \n",
       "\n",
       "         7         8         9         10        11        12  \n",
       "0  0.656262 -0.709299 -0.724609 -0.661693 -0.707107 -0.464729  \n",
       "1  0.094007 -0.709299 -0.892493 -0.661693  0.265165 -0.464729  \n",
       "2  0.656262 -0.709299 -0.892493  0.955779 -0.707107 -0.464729  \n",
       "3 -0.597999  1.409842 -0.892493 -0.661693 -0.707107 -0.464729  \n",
       "4  0.613011 -0.709299 -0.892493  0.955779  0.265165 -0.464729  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Scaling the data\n",
    "sc=StandardScaler()\n",
    "X_train=pd.DataFrame(sc.fit_transform(X_train))\n",
    "X_valid=pd.DataFrame(sc.transform(X_valid))\n",
    "\n",
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0f09b306",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.327733</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>-0.574125</td>\n",
       "      <td>-0.632674</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>0.901639</td>\n",
       "      <td>0.656262</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.724609</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.249032</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>0.831066</td>\n",
       "      <td>0.585437</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.094007</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>0.265165</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.352766</td>\n",
       "      <td>0.696177</td>\n",
       "      <td>0.985842</td>\n",
       "      <td>0.479768</td>\n",
       "      <td>-0.670155</td>\n",
       "      <td>2.392117</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.656262</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>0.955779</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.912932</td>\n",
       "      <td>-1.436416</td>\n",
       "      <td>-0.922749</td>\n",
       "      <td>-0.457026</td>\n",
       "      <td>-0.932517</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>0.901639</td>\n",
       "      <td>-0.597999</td>\n",
       "      <td>1.409842</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>-0.661693</td>\n",
       "      <td>-0.707107</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.240733</td>\n",
       "      <td>0.696177</td>\n",
       "      <td>0.031547</td>\n",
       "      <td>1.299463</td>\n",
       "      <td>-0.276611</td>\n",
       "      <td>-0.418040</td>\n",
       "      <td>-0.979367</td>\n",
       "      <td>0.613011</td>\n",
       "      <td>-0.709299</td>\n",
       "      <td>-0.892493</td>\n",
       "      <td>0.955779</td>\n",
       "      <td>0.265165</td>\n",
       "      <td>-0.464729</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        age       sex        cp  trestbps      chol       fbs   restecg  \\\n",
       "0 -1.327733 -1.436416  0.985842 -0.574125 -0.632674 -0.418040  0.901639   \n",
       "1  1.249032 -1.436416  0.985842  0.831066  0.585437 -0.418040 -0.979367   \n",
       "2  0.352766  0.696177  0.985842  0.479768 -0.670155  2.392117 -0.979367   \n",
       "3  0.912932 -1.436416 -0.922749 -0.457026 -0.932517 -0.418040  0.901639   \n",
       "4  0.240733  0.696177  0.031547  1.299463 -0.276611 -0.418040 -0.979367   \n",
       "\n",
       "    thalach     exang   oldpeak     slope        ca      thal  \n",
       "0  0.656262 -0.709299 -0.724609 -0.661693 -0.707107 -0.464729  \n",
       "1  0.094007 -0.709299 -0.892493 -0.661693  0.265165 -0.464729  \n",
       "2  0.656262 -0.709299 -0.892493  0.955779 -0.707107 -0.464729  \n",
       "3 -0.597999  1.409842 -0.892493 -0.661693 -0.707107 -0.464729  \n",
       "4  0.613011 -0.709299 -0.892493  0.955779  0.265165 -0.464729  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Fixing column names as scaling renamed it.\n",
    "X_train.columns= X.columns   \n",
    "X_valid.columns= X.columns\n",
    "\n",
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7f32c340",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Funtion to build and visualise a confusion matrix which will be used to evalute the performance of models.\n",
    "def my_confusion_matrix(y_test, y_pred, plt_title, accuracy_title):\n",
    "    cm=confusion_matrix(y_test, y_pred)\n",
    "    print(f'{accuracy_title} accuracy score:', '{:.2%}'.format(accuracy_score(y_valid, y_pred)))\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    sns.heatmap(cm, annot=True, fmt='g', cbar=False, cmap='BuPu')\n",
    "    plt.xlabel('Predicted Values')\n",
    "    plt.ylabel('Actual Values')\n",
    "    plt.title(plt_title)\n",
    "    plt.show()\n",
    "    return cm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "518325fe",
   "metadata": {},
   "source": [
    "<h4>Decision trees</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8d34abe5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decision Tree accuracy score: 81.97%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.85      0.81        27\n",
      "           1       0.87      0.79      0.83        34\n",
      "\n",
      "    accuracy                           0.82        61\n",
      "   macro avg       0.82      0.82      0.82        61\n",
      "weighted avg       0.82      0.82      0.82        61\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# model and fit\n",
    "des_t = tree.DecisionTreeClassifier(criterion='entropy', max_depth=3)\n",
    "des_t.fit(X_train, y_train);\n",
    "y_pred_des = des_t.predict(X_valid)\n",
    "cm_rfc=my_confusion_matrix(y_valid, y_pred_des, 'Decision Tree Matrix', 'Decision Tree')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "152d6ace",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualization\n",
    "fig = plt.figure(figsize=(16, 8))\n",
    "vis = tree.plot_tree(des_t, feature_names = X_train.columns, \n",
    "                     class_names = ['Dead', 'Alive'], \n",
    "                     max_depth=4, fontsize=9, proportion=True, filled=True, rounded=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec885819",
   "metadata": {},
   "source": [
    "<h4>Logistic Regression </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "18ddf301",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression accuracy score: 85.25%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.78      0.82        27\n",
      "           1       0.84      0.91      0.87        34\n",
      "\n",
      "    accuracy                           0.85        61\n",
      "   macro avg       0.86      0.84      0.85        61\n",
      "weighted avg       0.85      0.85      0.85        61\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[21,  6],\n",
       "       [ 3, 31]], dtype=int64)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_reg_classifier=LogisticRegression(C= 0.1, penalty= 'l2')\n",
    "re= log_reg_classifier.fit(X_train, y_train)\n",
    "y_pred=log_reg_classifier.predict(X_valid)\n",
    "my_confusion_matrix(y_valid, y_pred, 'Logistic Regression CM', 'Logistic Regression')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0200ca4",
   "metadata": {},
   "source": [
    "<h4>Random Forest</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b00ef415",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest accuracy score: 81.97%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      0.74      0.78        27\n",
      "           1       0.81      0.88      0.85        34\n",
      "\n",
      "    accuracy                           0.82        61\n",
      "   macro avg       0.82      0.81      0.81        61\n",
      "weighted avg       0.82      0.82      0.82        61\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(X_train, y_train)\n",
    "y_pred_rfc=rfc.predict(X_valid)\n",
    "cm_rfc=my_confusion_matrix(y_valid, y_pred_rfc, 'Random Forest Confusion Matrix', 'Random Forest')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2efc4b23",
   "metadata": {},
   "source": [
    "<h4>Support Vector Classifier</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "683dc114",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVC accuracy score: 83.61%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.89      0.83        27\n",
      "           1       0.90      0.79      0.84        34\n",
      "\n",
      "    accuracy                           0.84        61\n",
      "   macro avg       0.84      0.84      0.84        61\n",
      "weighted avg       0.84      0.84      0.84        61\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = SVC(kernel='rbf', C=10)\n",
    "svc.fit(X_train, y_train)\n",
    "y_pred_svc= svc.predict(X_valid)\n",
    "cm_svc=my_confusion_matrix(y_valid, y_pred_svc, 'Support Vector Classifier Confusion Matrix', 'SVC')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "837245a0",
   "metadata": {},
   "source": [
    "<h2>5.Evalution</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "cbe1526b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]\n"
     ]
    }
   ],
   "source": [
    "t2 = pd.DataFrame()\n",
    "t2[\"age\"]=[40]\n",
    "t2[\"sex\"]=[0]\n",
    "t2[\"cp\"]=[3]\n",
    "t2[\"trestbps\"]=[130]\n",
    "t2[\"chol\"]=[230]\n",
    "t2[\"fbs\"]=[1]\n",
    "t2[\"restecg\"]=[0]\n",
    "t2[\"thalach\"]=[150]\n",
    "t2[\"exang\"]=[1]\n",
    "t2[\"oldpeak\"]=[2.3]\n",
    "t2[\"slope\"]=[2]\n",
    "t2[\"ca\"]=[0]\n",
    "t2[\"thal\"]=[1]\n",
    "\n",
    "predicts = re.predict(t2)\n",
    "print((predicts))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "53de090c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "with heart disease\n"
     ]
    }
   ],
   "source": [
    "labels = [\"no heart disease\",\"with heart disease\"]\n",
    "results = labels[int(predicts)]\n",
    "print(results)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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