Medical_Cost_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Importing Required Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>female</td>\n",
       "      <td>27.90</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>southwest</td>\n",
       "      <td>16884.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>male</td>\n",
       "      <td>33.77</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1725.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28</td>\n",
       "      <td>male</td>\n",
       "      <td>33.00</td>\n",
       "      <td>3</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>4449.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>male</td>\n",
       "      <td>22.70</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>21984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "      <td>male</td>\n",
       "      <td>28.88</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>3866.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age     sex   bmi  children smoker     region  charges\n",
       "0   19  female 27.90         0    yes  southwest 16884.92\n",
       "1   18    male 33.77         1     no  southeast  1725.55\n",
       "2   28    male 33.00         3     no  southeast  4449.46\n",
       "3   33    male 22.70         0     no  northwest 21984.47\n",
       "4   32    male 28.88         0     no  northwest  3866.86"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.stats import shapiro\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "from lazypredict.Supervised import LazyRegressor\n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "pd.set_option(\"display.width\", 500)\n",
    "data = pd.read_csv(\"insurance.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "age (Yaş): Sigortalı bireylerin yaşları.\n",
    "sex (Cinsiyet): Sigortalı bireylerin cinsiyetleri (female: kadın, male: erkek).\n",
    "bmi (Vücut Kitle İndeksi): Sigortalı bireylerin vücut kitle indeksi değerleri.\n",
    "children (Çocuk Sayısı): Sigortalı bireylerin sahip olduğu çocuk sayısı.\n",
    "smoker (Sigara İçici): Sigortalı bireylerin sigara içip içmediği (yes: içiyor, no: içmiyor).\n",
    "region (Bölge): Sigortalı bireylerin yaşadığı coğrafi bölgeler.\n",
    "charges (Ücretler): Sigortalı bireylerin sağlık sigortası prim ücretleri.\n",
    "\n",
    "Bu veri seti, sağlık sigortası prim ücretlerini etkileyebilecek farklı faktörleri incelemek için kullanılabilir. Örneğin, yaş, cinsiyet, vücut kitle indeksi, çocuk sayısı, sigara içme alışkanlığı ve yaşadıkları bölge gibi değişkenlerin sağlık sigortası ücretlerine nasıl etki edebileceğini anlamak için analizler yapılabilir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_df(dataframe, head=5):\n",
    "    print(\"**************************************** Shape ****************************************\")\n",
    "    print(dataframe.shape)\n",
    "    print(\"**************************************** Dtypes ****************************************\")\n",
    "    print(dataframe.dtypes)\n",
    "    print(\"**************************************** Head ****************************************\")\n",
    "    print(dataframe.head(head))\n",
    "    print(\"**************************************** Tail ****************************************\")\n",
    "    print(dataframe.tail(head))\n",
    "    print(\"**************************************** N/A Values *************************************\")\n",
    "    print(dataframe.isnull().sum())\n",
    "    print(\"******************** Quantiles (Sayisal Değişken Dağilimi) ******************************\")\n",
    "    print(dataframe.describe([0, 0.05, 0.50, 0.95, 0.99, 1]).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**************************************** Shape ****************************************\n",
      "(1338, 7)\n",
      "**************************************** Dtypes ****************************************\n",
      "age           int64\n",
      "sex          object\n",
      "bmi         float64\n",
      "children      int64\n",
      "smoker       object\n",
      "region       object\n",
      "charges     float64\n",
      "dtype: object\n",
      "**************************************** Head ****************************************\n",
      "   age     sex   bmi  children smoker     region  charges\n",
      "0   19  female 27.90         0    yes  southwest 16884.92\n",
      "1   18    male 33.77         1     no  southeast  1725.55\n",
      "2   28    male 33.00         3     no  southeast  4449.46\n",
      "3   33    male 22.70         0     no  northwest 21984.47\n",
      "4   32    male 28.88         0     no  northwest  3866.86\n",
      "**************************************** Tail ****************************************\n",
      "      age     sex   bmi  children smoker     region  charges\n",
      "1333   50    male 30.97         3     no  northwest 10600.55\n",
      "1334   18  female 31.92         0     no  northeast  2205.98\n",
      "1335   18  female 36.85         0     no  southeast  1629.83\n",
      "1336   21  female 25.80         0     no  southwest  2007.94\n",
      "1337   61  female 29.07         0    yes  northwest 29141.36\n",
      "**************************************** N/A Values *************************************\n",
      "age         0\n",
      "sex         0\n",
      "bmi         0\n",
      "children    0\n",
      "smoker      0\n",
      "region      0\n",
      "charges     0\n",
      "dtype: int64\n",
      "******************** Quantiles (Sayisal Değişken Dağilimi) ******************************\n",
      "           count     mean      std     min      0%      5%     50%      95%      99%     100%      max\n",
      "age      1338.00    39.21    14.05   18.00   18.00   18.00   39.00    62.00    64.00    64.00    64.00\n",
      "bmi      1338.00    30.66     6.10   15.96   15.96   21.26   30.40    41.11    46.41    53.13    53.13\n",
      "children 1338.00     1.09     1.21    0.00    0.00    0.00    1.00     3.00     5.00     5.00     5.00\n",
      "charges  1338.00 13270.42 12110.01 1121.87 1121.87 1757.75 9382.03 41181.83 48537.48 63770.43 63770.43\n"
     ]
    }
   ],
   "source": [
    "check_df(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Perform An Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a) Examine the distribution of Bmi (Body Mass Index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# \"bmi\" kolonundaki verileri alın\n",
    "bmi_values = data[\"bmi\"]\n",
    "\n",
    "# Histogram oluşturma\n",
    "plt.hist(bmi_values, bins=20, edgecolor='black')  # 20 aralığa sahip bir histogram oluşturuluyor\n",
    "plt.xlabel('BMI (Vücut Kitle İndeksi)')\n",
    "plt.ylabel('Frekans')\n",
    "plt.title('BMI Dağılımı')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ortalama BMI: 30.66339686098655\n",
      "Medyan BMI: 30.4\n"
     ]
    }
   ],
   "source": [
    "# Merkezi Tendans Ölçülerini İnceleme\n",
    "mean_bmi = np.mean(bmi_values)\n",
    "median_bmi = np.median(bmi_values)\n",
    "\n",
    "print(\"Ortalama BMI:\", mean_bmi)\n",
    "print(\"Medyan BMI:\", median_bmi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Çeyreklikler ve Aykırı Değerler:\n",
    "sns.boxplot(x=bmi_values)\n",
    "plt.xlabel('BMI (Vücut Kitle İndeksi)')\n",
    "plt.title('BMI Değerlerinin Kutu Grafiği')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test İstatistiği: 0.9938861727714539\n",
      "p-değer: 2.6033414542325772e-05\n",
      "Veri normal dağılıma uymaz.\n"
     ]
    }
   ],
   "source": [
    "# İstatistiksel testler için scipy kütüphanesini kullanabilirsiniz. Örneğin, Shapiro-Wilk normalite testi:\n",
    "stat, p = shapiro(bmi_values)\n",
    "print(\"Test İstatistiği:\", stat)\n",
    "print(\"p-değer:\", p)\n",
    "\n",
    "if p > 0.05:\n",
    "    print(\"Veri normal dağılıma uyar.\")\n",
    "else:\n",
    "    print(\"Veri normal dağılıma uymaz.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not: Test istatistiği 0.9938 ve p-değeri çok küçük bir değer (2.60e-05) olarak bulunmuş. Bu sonuçlar, veri setinizin normal bir dağılıma uymadığını gösteriyor. Çünkü p-değeri 0.05 anlamlılık düzeyinden çok daha küçük. Bu, veri setinizin normal dağılıma uymadığına dair istatistiksel olarak anlamlı bir kanıt sağlar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b) Examine the relationship between “smoker” and “charges”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "smoker\n",
      "no     8434.27\n",
      "yes   32050.23\n",
      "Name: charges, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "grouped_data = data.groupby(\"smoker\")[\"charges\"].mean()\n",
    "print(grouped_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_data.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Sigara İçme Durumu\")\n",
    "plt.ylabel(\"Ortalama Ücretler\")\n",
    "plt.title(\"Sigara İçme Durumu ve Ortalama Ücretler\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"smoker\", y=\"charges\", data=data)\n",
    "plt.xlabel(\"Sigara İçme Durumu\")\n",
    "plt.ylabel(\"Ücretler\")\n",
    "plt.title(\"Sigara İçme Durumu ve Ücretler İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c) Examine the relationship between “smoker” and “region”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  smoker     region  count\n",
      "0     no  northeast    257\n",
      "1     no  northwest    267\n",
      "2     no  southeast    273\n",
      "3     no  southwest    267\n",
      "4    yes  northeast     67\n",
      "5    yes  northwest     58\n",
      "6    yes  southeast     91\n",
      "7    yes  southwest     58\n"
     ]
    }
   ],
   "source": [
    "grouped_data = data.groupby([\"smoker\", \"region\"]).size().reset_index(name=\"count\")\n",
    "print(grouped_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Veriyi \"smoker\" ve \"region\" sütunlarına göre gruplandırın ve sayılarını hesaplayın\n",
    "grouped_data = data.groupby([\"smoker\", \"region\"]).size().reset_index(name=\"count\")\n",
    "\n",
    "# Çubuk grafik\n",
    "sns.barplot(x=\"region\", y=\"count\", hue=\"smoker\", data=grouped_data)\n",
    "plt.xlabel(\"Bölge\")\n",
    "plt.ylabel(\"Sayı\")\n",
    "plt.title(\"Sigara İçme Durumu ve Bölge İlişkisi\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()\n",
    "\n",
    "# Isı haritası için veriyi dönüştürün\n",
    "pivot_data = grouped_data.pivot_table(index=\"region\", columns=\"smoker\", values=\"count\")\n",
    "pivot_data = pivot_data.fillna(0)  # Eksik değerleri 0 ile doldurun\n",
    "\n",
    "# Isı haritası\n",
    "sns.heatmap(pivot_data, annot=True, fmt=\".0f\", cmap=\"YlGnBu\")\n",
    "plt.xlabel(\"Sigara İçme Durumu\")\n",
    "plt.ylabel(\"Bölge\")\n",
    "plt.title(\"Sigara İçme Durumu ve Bölge İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### d) Examine the relationship between “bmi” and “sex”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sex\n",
      "female   30.38\n",
      "male     30.94\n",
      "Name: bmi, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "grouped_data = data.groupby(\"sex\")[\"bmi\"].mean()\n",
    "print(grouped_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Çubuk grafik\n",
    "grouped_data.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Cinsiyet\")\n",
    "plt.ylabel(\"Ortalama BMI\")\n",
    "plt.title(\"Cinsiyet ve Ortalama BMI İlişkisi\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()\n",
    "\n",
    "# Kutu grafiği\n",
    "sns.boxplot(x=\"sex\", y=\"bmi\", data=data)\n",
    "plt.xlabel(\"Cinsiyet\")\n",
    "plt.ylabel(\"BMI\")\n",
    "plt.title(\"Cinsiyet ve BMI İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### e) Find the \"region\" with the most \"children\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "region\n",
      "northeast    339\n",
      "northwest    373\n",
      "southeast    382\n",
      "southwest    371\n",
      "Name: children, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "grouped_data = data.groupby(\"region\")[\"children\"].sum()\n",
    "print(grouped_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "En fazla çocuğa sahip bölge: southeast\n"
     ]
    }
   ],
   "source": [
    "most_children_region = grouped_data.idxmax()\n",
    "print(\"En fazla çocuğa sahip bölge:\", most_children_region)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### f) Examine the relationship between “age” and “bmi”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data[\"age\"], data[\"bmi\"], alpha=0.5)\n",
    "plt.xlabel(\"Yaş\")\n",
    "plt.ylabel(\"BMI (Vücut Kitle İndeksi)\")\n",
    "plt.title(\"Yaş ve BMI İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Yaş ve BMI Korelasyon Katsayısı: 0.10927188154853519\n"
     ]
    }
   ],
   "source": [
    "correlation = data[\"age\"].corr(data[\"bmi\"])\n",
    "print(\"Yaş ve BMI Korelasyon Katsayısı:\", correlation)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not: Sonuç olarak korelasyon katsayısı 0.109 olarak bulunmuş. Bu, \"age\" (yaş) ile \"bmi\" (vücut kitle indeksi) arasında zayıf bir pozitif korelasyon olduğunu gösterir. Ancak, korelasyonun büyüklüğü göz önüne alındığında bu ilişkinin pek güçlü olmadığını söyleyebiliriz.\n",
    "\n",
    "Yani, bu verilere göre yaş ile vücut kitle indeksi arasında çok zayıf bir pozitif ilişki olduğunu söyleyebilirsiniz. Ancak, bu korelasyonun pratikte anlamlı bir etki boyutuna sahip olup olmadığını değerlendirmek için daha fazla analiz yapmak gerekebilir."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  g) Examine the relationship between “bmi” and “children”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data[\"bmi\"], data[\"children\"], alpha=0.5)\n",
    "plt.xlabel(\"BMI (Vücut Kitle İndeksi)\")\n",
    "plt.ylabel(\"Çocuk Sayısı\")\n",
    "plt.title(\"BMI ve Çocuk Sayısı İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BMI ve Çocuk Sayısı Korelasyon Katsayısı: 0.012758900820673833\n"
     ]
    }
   ],
   "source": [
    "correlation = data[\"bmi\"].corr(data[\"children\"])\n",
    "print(\"BMI ve Çocuk Sayısı Korelasyon Katsayısı:\", correlation)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not: Sonuç olarak korelasyon katsayısı 0.01275 olarak bulunmuş. Bu, \"bmi\" (vücut kitle indeksi) ile \"children\" (çocuk sayısı) arasında çok zayıf bir pozitif korelasyon olduğunu gösterir. Yani, bu iki değişken arasında neredeyse hiçbir ilişki olmadığını söyleyebilirsiniz.\n",
    "\n",
    "Bu durumda, \"bmi\" ve \"children\" arasında istatistiksel olarak anlamlı bir ilişki olmadığını söyleyebiliriz."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### h) Is there an outlier in the \"bmi\" variable? Please review."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAAuBAAAALAQCAACwEAgAAMBCIAAAAAuBAAAALAQCAACwEAgAAMBCIAAAAAuBAAAALAQCAACwEAgAAMDi6+0JAMYYZWRkeHsaxWaMUWZmpiTJ399fDofDyzPyHKfTWabWA+DyCAR4XUZGhiIjI709DeQjLi5OAQEB3p4GgBLEJQYAAGDhDAJKlbSOw2R8rtL/llnnFLR1gSQptcNQqUJFL0+oeBzZ5xWYON/b0wDgJVfpV2KUVcbH96p/YpV0YQ1X+TqMtycAwKu4xAAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACwEAgAAsBAIAADAQiAAAAALgQAAACy+3p7AxYwxysjIkCQ5nU45HA4vzwgAUBx8Xb96laozCBkZGYqMjFRkZKTrPxQA4OrF1/WrV6kKBAAAUDoQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAwKvWrVunQYMGqX///ho0aJA++OAD3XXXXVq3bp3r/ovfL8j2CjPe04/3xL5Kcg55IRAAAF6TkZGhGTNmKDk5Wenp6UpOTta8efN09OhRzZw5U8nJyZo5c6br/YyMjMturzDjPf14T+yrJOeQHwIBAOA1MTExOnnypNttxhhJ0smTJ/XHP/7Rdf/JkycVGxtb4O0VZLynH++JfZXkHPLj65W95iHnP4UkrxUTSp7bsb7o/wC8jM9HeMDF/3fMJZ/fv/zyS75PfsYYbdu2ze392NhY3Xzzzapfv741Pmd7Ofu53HhPP74w8tpX+/btS2wOl1PgQMjMzFRmZqbr/ZSUFI9P5uLt33777R7fPq4C2ecl+Xl7FpD+/7G4gM9HeEJmZqYqVaok6cIT3xtvvKGsrKxCbSPncdOnT5fD4bBuL+j4vMYV9fFFWcOlsrOzNXXq1BKZQ0EU+BLDK6+8oqpVq7reGjRocCXnBQAoww4cOKCNGzcW+nFZWVnauHGjDhw4kOv2Lg2OvMbnNZ+iPr4w8tpXdna2UlJSSmQOBVHgMwjPPvusHn/8cdf7KSkpHo8Ef39/17+XLl0qp9Pp0e2jdMrIyPjfd6g+peqqV/l20bHg8xFFdfHn98Vf4xs2bKiuXbsWOhIqVKigzp07q2HDhm6352xvy5Ytbk+weY2/VHEfXxh57cvHx0eBgYFKT0+/4nMoiAJ/Nfb393c7uFfCxadOnE6nAgICruj+UAqV4OkzXAafj/Cwi7/GOxwOPfroo4qKiirUZYacx116qv3i7RVkfF7bLerjCyOvffn4+Gjy5Ml6+umnr/gcCoKfYgAAeEX9+vU1fPjwPO93OBxq166d64nR4XBo+PDhqlevXr7bK+h4Tz++MPLaV+fOnUtsDpdDIAAAvGbEiBGqWbOm220+PheemmrVqqVp06a57q9Vq1a+QXHp9goy3tOP98S+SnIO+SEQAABe43Q69cQTT6hatWqqXLmyqlWrphEjRigkJESPPfaYqlWrpscff9z1/uVeC+N0Ogs13tOP98S+SnIO+eEVYQAAr7r++uu1bNkyt9vGjh3rdv/1119fqO0VZrynH++JfZXkHPLCGQQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYCAQAAGAhEAAAgIVAAAAAFgIBAABYfL09gYs5nU7FxcW5/g0AuLrxdf3qVaoCweFwKCAgwNvTAAB4CF/Xr15cYgAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABYCAQAAWAgEAABgIRAAAICFQAAAABZfb08AuJgj+7yMtydRVFnncv/3VcqRfd7bUwDgRQQCSpXAxPnenoJHBG1d4O0pAECxcIkBAABYOIMAr3M6nYqLi/P2NIrNGKPMzExJkr+/vxwOh5dn5DlOp9PbUwBQwggEeJ3D4VBAQIC3p+ERlSpV8vYUAMAjuMQAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsBAIAALAQCAAAwEIgAAAAC4EAAAAsvkV9oDFGkpSSkuKxyQAAgCsr53k753k8L0UOhNTUVElSgwYNiroJAADgJampqapatWqe9zvM5RIiD9nZ2fr1118VFBQkh8OR79iUlBQ1aNBABw8eVJUqVYqyu6tKeVuvxJrLw5rL23ol1lwe1lze1itdOHOQmpqqunXryscn71caFPkMgo+Pj+rXr1+ox1SpUqXcHACp/K1XYs3lQXlbr8Say4Pytt78zhzk4EWKAADAQiAAAABLiQSCv7+/Jk+eLH9//5LYndeVt/VKrLk8KG/rlVhzeVDe1lsYRX6RIgAAKLu4xAAAACwEAgAAsBAIAADAQiAAAAALgQAAACweDYS1a9dq4MCBqlu3rhwOh5YtW+Z2/6hRo+RwONzeIiIiPDmFEvXKK6+oa9euCgoKUu3atTVo0CDt2rXLbUxGRobGjx+vmjVrKjAwUEOGDNHRo0e9NOPiKch6e/XqZR3jBx54wEszLr533nlH7du3d/2Wte7duysuLs51f1k6vjkut+aydowv9eqrr8rhcGjixImu28ricb5Ybmsua8f5xRdftNbTqlUr1/1l/RgXhUcDIT09XR06dNDbb7+d55iIiAgdPnzY9TZ//nxPTqFErVmzRuPHj9e3336rFStW6Ny5c7r55puVnp7uGvPYY4/p008/1cKFC7VmzRr9+uuvGjx4sBdnXXQFWa8kjRs3zu0YT58+3UszLr769evr1Vdf1ebNm7Vp0yb16dNHt912m3788UdJZev45rjcmqWydYwvtnHjRr377rtq37692+1l8TjnyGvNUtk7zm3atHFbz7///W/XfWX5GBeZuUIkmaVLl7rdFhUVZW677bYrtUuvO3bsmJFk1qxZY4wxJjk52VSsWNEsXLjQNWbnzp1Gklm/fr23pukxl67XGGN69uxpHn30Ue9NqgRUr17dvP/++2X++F4sZ83GlN1jnJqaapo3b25WrFjhtsayfJzzWrMxZe84T5482XTo0CHX+8ryMS6OEn8NQkJCgmrXrq2WLVvqwQcf1MmTJ0t6ClfM6dOnJUk1atSQJG3evFnnzp1Tv379XGNatWqlhg0bav369V6Zoyddut4cMTExqlWrltq2batnn31WZ86c8cb0PC4rK0sLFixQenq6unfvXuaPr2SvOUdZPMbjx49X//793Y6nVLY/j/Nac46ydpz37NmjunXrqmnTphoxYoQOHDggqWwf4+Io8l9zLIqIiAgNHjxYTZo00d69e/Xcc88pMjJS69evV4UKFUpyKh6XnZ2tiRMn6oYbblDbtm0lSUeOHJGfn5+qVavmNjYkJERHjhzxwiw9J7f1StLw4cPVqFEj1a1bVz/88IOeeeYZ7dq1S0uWLPHibItn27Zt6t69uzIyMhQYGKilS5eqdevWSkxMLLPHN681S2XzGC9YsEBbtmzRxo0brfvK6udxfmuWyt5x7tatm6Kjo9WyZUsdPnxYU6ZM0e9//3tt3769zB7j4irRQBg6dKjr3+3atVP79u0VFhamhIQE9e3btySn4nHjx4/X9u3b3a5plWV5rfe+++5z/btdu3YKDQ1V3759tXfvXoWFhZX0ND2iZcuWSkxM1OnTp7Vo0SJFRUVpzZo13p7WFZXXmlu3bl3mjvHBgwf16KOPasWKFXI6nd6eTokoyJrL2nGOjIx0/bt9+/bq1q2bGjVqpI8++kgBAQFenFnp5dUfc2zatKlq1aqln376yZvTKLYJEyZo+fLlio+PV/369V2316lTR7/99puSk5Pdxh89elR16tQp4Vl6Tl7rzU23bt0k6ao+xn5+fmrWrJk6d+6sV155RR06dNAbb7xRZo+vlPeac3O1H+PNmzfr2LFj6tSpk3x9feXr66s1a9bozTfflK+vr0JCQsrccb7cmrOysqzHXO3H+VLVqlVTixYt9NNPP5Xpz+Xi8Gog/PLLLzp58qRCQ0O9OY0iM8ZowoQJWrp0qVavXq0mTZq43d+5c2dVrFhRq1atct22a9cuHThwwO167tXicuvNTWJioiRdtcc4N9nZ2crMzCxzxzc/OWvOzdV+jPv27att27YpMTHR9dalSxeNGDHC9e+ydpwvt+bcLvle7cf5Umlpadq7d69CQ0PL1edyoXjyFY+pqanm+++/N99//72RZGbOnGm+//57s3//fpOammqefPJJs379epOUlGRWrlxpOnXqZJo3b24yMjI8OY0S8+CDD5qqVauahIQEc/jwYdfbmTNnXGMeeOAB07BhQ7N69WqzadMm0717d9O9e3cvzrroLrfen376yUydOtVs2rTJJCUlmY8//tg0bdrU9OjRw8szL7pJkyaZNWvWmKSkJPPDDz+YSZMmGYfDYb766itjTNk6vjnyW3NZPMa5ufQV/GXxOF/q4jWXxeP8xBNPmISEBJOUlGS++eYb069fP1OrVi1z7NgxY0z5OMaF5dFAiI+PN5Kst6ioKHPmzBlz8803m+DgYFOxYkXTqFEjM27cOHPkyBFPTqFE5bZWSWbu3LmuMWfPnjUPPfSQqV69uqlUqZK5/fbbzeHDh7036WK43HoPHDhgevToYWrUqGH8/f1Ns2bNzFNPPWVOnz7t3YkXw5gxY0yjRo2Mn5+fCQ4ONn379nXFgTFl6/jmyG/NZfEY5+bSQCiLx/lSF6+5LB7nu+66y4SGhho/Pz9Tr149c9ddd5mffvrJdX95OMaF5TDGmJI+awEAAEo3/hYDAACwEAgAAMBCIAAAAAuBAAAALAQCAACwEAgASpWXX35Z119/vbenAZR7/JgjgFLl1KlTSk9PV4MGDbw9FaBc4wwC4AEnT55U7dq1tW/fvkI9rlevXpo4caKSk5PlcDiUkJBwRebnCTlzzU90dLT1F/EKq0aNGh6Jg8aNG2vWrFkFHv/iiy+qY8eORdpXQkKCHA6H63f5f/HFF+rYsaOys7OLtD2gNCAQUGaMGjVKDofD9VazZk1FRETohx9+cBuXc/+3337rdntmZqZq1qxpPVE7HA4tW7Ys332/9NJLuu2229S4cWNt3rw51+3n6Nu3rwYPHixJWrJkiaZNm6aqVavq8OHDHj+1PmrUKA0aNKhI4xYtWiSn06kZM2a4zTVHYZ+AC6o4T9Tecv311+vw4cOqWrWqpAt/2r5ixYqKiYnx8syAoiMQUKZERETo8OHDOnz4sFatWiVfX18NGDDAGtegQQPNnTvX7balS5cqMDCw0Ps8c+aMPvjgA40dO1bShT/S1aFDB82ZM8cau2/fPsXHx7vG1qhRQ0FBQXI4HKpTp478/PwKvf8r4f3339eIESP0zjvv6IknnpD0v7nC5ufnpzp16sjhcLhuGzVqlN58800vzgooHgIBZYq/v7/q1KmjOnXqqGPHjpo0aZIOHjyo48ePu42LiorSggULdPbsWddtc+bMUVRUVKH3+fnnn8vf31/XXXed67axY8fqX//6l86cOeM2Njo6WqGhoYqIiMj1O/COHTvqxRdfdL2fnJys+++/XyEhIXI6nWrbtq2WL18uKffvtGfNmqXGjRu77v/www/18ccfu86aFOQSxvTp0/Xwww9rwYIFGj16tOv2iy8x9OrVS/v379djjz3m2nZePv74Y3Xq1ElOp1NNmzbVlClTdP78+cvOI0fO2Y3XXntNoaGhqlmzpsaPH69z5865xhw7dkwDBw5UQECAmjRpkut37snJybr33nsVHBysKlWqqE+fPtq6dWue+927d6+aNm2qCRMmyBij/fv3a+DAgapevboqV66sNm3a6PPPP5dkX2KQpIEDB2rTpk3au3dvgdcKlCYEAsqstLQ0zZs3T82aNVPNmjXd7uvcubMaN26sxYsXS5IOHDigtWvX6p577in0fr7++mt17tzZ7bYRI0YoMzNTixYtct1mjNGHH36oUaNG5frndC+VnZ2tyMhIffPNN5o3b5527NihV199tUCPlaQnn3xSd955p9tZlctdwnjmmWc0bdo0LV++XLfffnue45YsWaL69etr6tSprm3n5uuvv9bIkSP16KOPaseOHXr33XcVHR2tl156qUBryBEfH6+9e/cqPj5eH374oaKjoxUdHe26f9SoUTp48KDi4+O1aNEizZ49W8eOHXPbxh/+8AcdO3ZMcXFx2rx5szp16qS+ffvq1KlT1v5++OEH3XjjjRo+fLjeeustORwOjR8/XpmZmVq7dq22bdumP//5z/mecWrYsKFCQkL09ddfF2qtQGnh6+0JAJ60fPly1xft9PR0hYaGavny5fLxsVt4zJgxmjNnju6++25FR0frlltuUXBwcKH3uX//ftWtW9fttho1auj222/XnDlzNHLkSEkXnuT27dvn9l15flauXKkNGzZo586datGihSSpadOmBZ5XYGCgAgIClJmZqTp16lx2fFxcnD7++GOtWrVKffr0yXdsjRo1VKFCBQUFBeW77SlTpmjSpEmuMzNNmzbVtGnT9PTTT2vy5MkFXkv16tX11ltvqUKFCmrVqpX69++vVatWady4cdq9e7fi4uK0YcMGde3aVZL0wQcf6JprrnE9/t///rc2bNigY8eOyd/fX5L02muvadmyZVq0aJHuu+8+19h169ZpwIABev75512XV6QLETlkyBC1a9fOtZbLqVu3rvbv31/gdQKlCWcQUKb07t1biYmJSkxM1IYNGxQeHq7IyMhcv0jffffdWr9+vX7++WdFR0drzJgxRdrn2bNn5XQ6rdvHjBmjtWvXuk4xz5kzRz179lSzZs0KtN3ExETVr1/fFQdXWvv27dW4cWNNnjxZaWlpHtnm1q1bNXXqVAUGBrrexo0bp8OHD1uXX/LTpk0btzMnoaGhrjMEO3fulK+vr9tZnFatWrn9NMXWrVuVlpammjVrus0lKSnJ7RLAgQMHdNNNN+mFF15wiwNJeuSRR/SnP/1JN9xwgyZPnmy9+DU3AQEBhVonUJoQCChTKleurGbNmqlZs2bq2rWr3n//faWnp+vvf/+7NbZmzZoaMGCAxo4dq4yMDEVGRhZpn7Vq1dJ///tf6/a+ffuqYcOGio6OVkpKipYsWeJ6caIk+fj46NJfQ3LxdfWAgIB893u5xxdWvXr1lJCQoEOHDikiIkKpqalF3laOtLQ0TZkyxRVtiYmJ2rZtm/bs2ZNrVOWlYsWKbu87HI5C/QhhWlqaQkND3eaRmJioXbt26amnnnKNCw4O1u9+9zvNnz9fKSkpbtu499579fPPP+uee+7Rtm3b1KVLF/31r3/Nd7+nTp0q0lkpoDQgEFCmORwO+fj4uL0Y8WJjxoxRQkKCRo4cWeBr+5e69tprtWPHDut2Hx8fjR49Wh9++KFiY2Pl5+enO+64w3V/cHCw27X7lJQUJSUlud5v3769fvnlF+3evTvX/QYHB+vIkSNukZCYmOg2xs/PT1lZWQVeS6NGjbRmzRodOXLkspFQkG136tRJu3btckXbxW+5XfYpilatWun8+fPavHmz67Zdu3a5vWCwU6dOOnLkiHx9fa151KpVyzUuICBAy5cvl9PpVHh4uLX+Bg0a6IEHHtCSJUv0xBNP5BqeOTIyMrR3715de+21HlknUNIIBJQpmZmZOnLkiI4cOaKdO3fq4YcfVlpamgYOHJjr+IiICB0/flxTp04t8j7Dw8P1448/5noWYfTo0Tp06JCee+45DRs2zO2sQJ8+ffTPf/5TX3/9tbZt26aoqCi3SOnZs6d69OihIUOGaMWKFUpKSlJcXJy++OILSRd+kuD48eOaPn269u7dq7fffltxcXFu+2/cuLF++OEH7dq1SydOnCjQGYYGDRooISFBx44dU3h4uPWd9MXbXrt2rQ4dOqQTJ07kOuaFF17QP/7xD02ZMkU//vijdu7cqQULFuj//u//LjuPgmrZsqUiIiJ0//3367vvvtPmzZt17733un2s+/Xrp+7du2vQoEH66quvtG/fPq1bt07PP/+8Nm3a5La9ypUr67PPPpOvr68iIyNdl1smTpyoL7/8UklJSdqyZYvi4+PdXudwqW+//Vb+/v7q3r27x9YKlCQCAWXKF198odDQUIWGhqpbt27auHGjFi5cqF69euU63uFwqFatWsX6/QPt2rVTp06d9NFHH1n3NWzYUP369dN///tf6zUOzz77rHr27KkBAwaof//+GjRokMLCwtzGLF68WF27dtWwYcPUunVrPf30067v2q+55hrNnj1bb7/9tjp06KANGzboySefdHv8uHHj1LJlS3Xp0kXBwcH65ptvCrSm+vXrKyEhQSdOnMgzEqZOnap9+/YpLCwsz9Po4eHhWr58ub766it17dpV1113nV5//XU1atSoQPMoqLlz56pu3brq2bOnBg8erPvuu0+1a9d23e9wOPT555+rR48eGj16tFq0aKGhQ4dq//79CgkJsbYXGBiouLg4GWPUv39/paenKysrS+PHj9c111yjiIgItWjRQrNnz85zTvPnz9eIESNUqVIlj64VKCn8LQbAAz777DM99dRT2r59u8dOnePqdeLECbVs2VKbNm1SkyZNvD0doEj4MUfAA/r37689e/bo0KFD/JEhaN++fZo9ezZxgKsaZxAAAICFc6EAAMBCIAAAAAuBAAAALAQCAACwEAgAAMBCIAAAAAuBAAAALAQCAACwEAgAAMBCIAAAAMv/A86kCwt8xsOuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Kutu grafiği\n",
    "sns.boxplot(x=data[\"bmi\"])\n",
    "plt.xlabel(\"BMI (Vücut Kitle İndeksi)\")\n",
    "plt.title(\"BMI Aykırı Değerler\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aykırı Değerler:\n",
      "      age     sex   bmi  children smoker     region  charges\n",
      "116    58    male 49.06         0     no  southeast 11381.33\n",
      "286    46  female 48.07         2     no  northeast  9432.93\n",
      "401    47    male 47.52         1     no  southeast  8083.92\n",
      "543    54  female 47.41         0    yes  southeast 63770.43\n",
      "847    23    male 50.38         1     no  southeast  2438.06\n",
      "860    37  female 47.60         2    yes  southwest 46113.51\n",
      "1047   22    male 52.58         1    yes  southeast 44501.40\n",
      "1088   52    male 47.74         1     no  southeast  9748.91\n",
      "1317   18    male 53.13         0     no  southeast  1163.46\n"
     ]
    }
   ],
   "source": [
    "Q1 = data[\"bmi\"].quantile(0.25)\n",
    "Q3 = data[\"bmi\"].quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "\n",
    "lower_limit = Q1 - 1.5 * IQR\n",
    "upper_limit = Q3 + 1.5 * IQR\n",
    "\n",
    "outliers = data[(data[\"bmi\"] < lower_limit) | (data[\"bmi\"] > upper_limit)]\n",
    "print(\"Aykırı Değerler:\")\n",
    "print(outliers)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Örneğin, \"bmi\" değeri 53.13 olan bir 18 yaşındaki erkek, \"bmi\" değeri 52.58 olan bir 22 yaşındaki erkek ve \"bmi\" değeri 50.38 olan bir 23 yaşındaki erkek gibi değerler aykırı görünüyor. Bu değerler, genel dağılımdan büyük ölçüde sapmış gibi görünüyor.\n",
    "Sonuç olarak, bu aykırı değerlerin \"bmi\" değişkeninde bulunduğunu ve bu değerlerin geri kalan veri setinden önemli ölçüde sapmış olduğu görülüyor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### i) Examine the relationship between “bmi” and “charges”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data[\"bmi\"], data[\"charges\"], alpha=0.5)\n",
    "plt.xlabel(\"BMI (Vücut Kitle İndeksi)\")\n",
    "plt.ylabel(\"Charges (Sigorta Ücretleri)\")\n",
    "plt.title(\"BMI ve Sigorta Ücretleri İlişkisi\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BMI ve Sigorta Ücretleri Korelasyon Katsayısı: 0.1983409688336289\n"
     ]
    }
   ],
   "source": [
    "correlation = data[\"bmi\"].corr(data[\"charges\"])\n",
    "print(\"BMI ve Sigorta Ücretleri Korelasyon Katsayısı:\", correlation)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Özetle, \"bmi\" ile \"charges\" arasında zayıf bir pozitif ilişki olduğunu söyleyebiliriz. Ancak, bu ilişkinin büyüklüğü çok düşük olduğundan, \"bmi\" değeri arttıkça \"charges\" değerinin büyük bir değişim göstermediğini söyleyebiliriz. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### j) Examine the relationship between “region”, “smoker” and “bmi” using bar plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Veriyi \"region\", \"smoker\" ve \"bmi\" sütunlarına göre gruplandırma ve ortalama \"bmi\" değerlerini hesaplama\n",
    "grouped_data = data.groupby([\"region\", \"smoker\"])[\"bmi\"].mean().reset_index()\n",
    "\n",
    "# Çubuk grafiği oluşturma\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=\"region\", y=\"bmi\", hue=\"smoker\", data=grouped_data)\n",
    "plt.xlabel(\"Bölge\")\n",
    "plt.ylabel(\"Ortalama BMI\")\n",
    "plt.title(\"Bölge, Sigara İçme Durumu ve Ortalama BMI İlişkisi\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend(title=\"Sigara İçme Durumu\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>female</td>\n",
       "      <td>27.90</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>southwest</td>\n",
       "      <td>16884.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>male</td>\n",
       "      <td>33.77</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1725.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28</td>\n",
       "      <td>male</td>\n",
       "      <td>33.00</td>\n",
       "      <td>3</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>4449.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>male</td>\n",
       "      <td>22.70</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>21984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "      <td>male</td>\n",
       "      <td>28.88</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>3866.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age     sex   bmi  children smoker     region  charges\n",
       "0   19  female 27.90         0    yes  southwest 16884.92\n",
       "1   18    male 33.77         1     no  southeast  1725.55\n",
       "2   28    male 33.00         3     no  southeast  4449.46\n",
       "3   33    male 22.70         0     no  northwest 21984.47\n",
       "4   32    male 28.88         0     no  northwest  3866.86"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# One-Hot Encoding için veri setini kopyalama\n",
    "encoded_data_onehot = data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   age   bmi  children  charges  sex_male  smoker_yes  region_northwest  region_southeast  region_southwest\n",
      "0   19 27.90         0 16884.92     False        True             False             False              True\n",
      "1   18 33.77         1  1725.55      True       False             False              True             False\n",
      "2   28 33.00         3  4449.46      True       False             False              True             False\n",
      "3   33 22.70         0 21984.47      True       False              True             False             False\n",
      "4   32 28.88         0  3866.86      True       False              True             False             False\n"
     ]
    }
   ],
   "source": [
    "# One-Hot Encoding işlemi\n",
    "encoded_data_onehot = pd.get_dummies(encoded_data_onehot, columns=[\"sex\", \"smoker\", \"region\"], drop_first=True)\n",
    "\n",
    "print(encoded_data_onehot.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   age  bmi  children  charges  sex_male  smoker_yes  region_northwest  region_southeast  region_southwest\n",
      "0   19   27         0    16884         0           1                 0                 0                 1\n",
      "1   18   33         1     1725         1           0                 0                 1                 0\n",
      "2   28   33         3     4449         1           0                 0                 1                 0\n",
      "3   33   22         0    21984         1           0                 1                 0                 0\n",
      "4   32   28         0     3866         1           0                 1                 0                 0\n"
     ]
    }
   ],
   "source": [
    "encoded_data_numeric = encoded_data_onehot.copy()\n",
    "\n",
    "# True-False değerleri 1-0 olarak dönüştürme\n",
    "encoded_data_numeric = encoded_data_numeric.astype(int)\n",
    "\n",
    "print(encoded_data_numeric.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>charges</th>\n",
       "      <th>sex_male</th>\n",
       "      <th>smoker_yes</th>\n",
       "      <th>region_northwest</th>\n",
       "      <th>region_southeast</th>\n",
       "      <th>region_southwest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>3</th>\n",
       "      <td>33</td>\n",
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       "      <td>3866</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "   age  bmi  children  charges  sex_male  smoker_yes  region_northwest  region_southeast  region_southwest\n",
       "0   19   27         0    16884         0           1                 0                 0                 1\n",
       "1   18   33         1     1725         1           0                 0                 1                 0\n",
       "2   28   33         3     4449         1           0                 0                 1                 0\n",
       "3   33   22         0    21984         1           0                 1                 0                 0\n",
       "4   32   28         0     3866         1           0                 1                 0                 0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded_data_numeric.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = encoded_data_numeric.drop(\"charges\", axis=1)  # Bağımsız değişkenler\n",
    "y = encoded_data_numeric[\"charges\"]  # Hedef değişken\n",
    "# Veriyi train ve test setlere ayırma\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Özellikleri ölçekleme (scaling)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ölçeklenmiş verileri DataFrame'e dönüştürme\n",
    "X_train_scaled_df = pd.DataFrame(X_train_scaled, columns=X.columns)\n",
    "X_test_scaled_df = pd.DataFrame(X_test_scaled, columns=X.columns)\n",
    "\n",
    "# Aynı şekilde y_train_scaled ve y_test_scaled'ı da gerekiyorsa DataFrame'e dönüştürebilirsiniz\n",
    "# Ancak hedef değişkenin ölçeklenmesinin gerekliliğini değerlendirmeniz önemlidir."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Model Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 42/42 [01:19<00:00,  1.89s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Warning] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000182 seconds.\n",
      "You can set `force_row_wise=true` to remove the overhead.\n",
      "And if memory is not enough, you can set `force_col_wise=true`.\n",
      "[LightGBM] [Info] Total Bins 103\n",
      "[LightGBM] [Info] Number of data points in the train set: 1070, number of used features: 8\n",
      "[LightGBM] [Info] Start training from score 13345.596262\n",
      "(                               Adjusted R-Squared  R-Squared      RMSE  Time Taken\n",
      "Model                                                                             \n",
      "GradientBoostingRegressor                    0.87       0.88   4347.97        0.27\n",
      "LGBMRegressor                                0.86       0.87   4545.64        0.17\n",
      "HistGradientBoostingRegressor                0.86       0.87   4564.52        1.19\n",
      "RandomForestRegressor                        0.85       0.86   4714.44        0.94\n",
      "BaggingRegressor                             0.84       0.84   4912.73        0.13\n",
      "ExtraTreesRegressor                          0.83       0.84   4992.78        0.70\n",
      "XGBRegressor                                 0.83       0.83   5097.71        0.19\n",
      "AdaBoostRegressor                            0.80       0.81   5494.19        0.09\n",
      "KNeighborsRegressor                          0.80       0.80   5520.19        0.04\n",
      "PoissonRegressor                             0.79       0.80   5603.33        0.04\n",
      "LinearRegression                             0.78       0.78   5793.66        0.01\n",
      "Lars                                         0.78       0.78   5793.66        0.02\n",
      "TransformedTargetRegressor                   0.78       0.78   5793.66        0.02\n",
      "LassoLars                                    0.78       0.78   5794.02        0.02\n",
      "Lasso                                        0.78       0.78   5794.02        0.02\n",
      "Ridge                                        0.78       0.78   5794.37        0.02\n",
      "RidgeCV                                      0.78       0.78   5794.37        0.02\n",
      "SGDRegressor                                 0.78       0.78   5794.82        0.02\n",
      "BayesianRidge                                0.78       0.78   5795.68        0.02\n",
      "LassoLarsIC                                  0.78       0.78   5812.95        0.02\n",
      "OrthogonalMatchingPursuitCV                  0.77       0.78   5827.51        0.05\n",
      "LassoCV                                      0.77       0.78   5840.79        0.08\n",
      "LarsCV                                       0.77       0.78   5843.56        0.04\n",
      "LassoLarsCV                                  0.77       0.78   5843.56        0.02\n",
      "DecisionTreeRegressor                        0.74       0.75   6224.26        0.02\n",
      "ExtraTreeRegressor                           0.73       0.74   6402.98        0.03\n",
      "HuberRegressor                               0.72       0.72   6535.75        0.04\n",
      "PassiveAggressiveRegressor                   0.71       0.72   6569.82        0.06\n",
      "ElasticNet                                   0.67       0.68   7016.03        0.02\n",
      "RANSACRegressor                              0.67       0.68   7084.64        0.14\n",
      "OrthogonalMatchingPursuit                    0.65       0.66   7262.62        0.03\n",
      "TweedieRegressor                             0.56       0.57   8146.43        0.02\n",
      "GammaRegressor                               0.53       0.55   8398.69        0.03\n",
      "ElasticNetCV                                 0.11       0.14  11562.43        0.12\n",
      "DummyRegressor                              -0.03      -0.00  12465.60        0.02\n",
      "NuSVR                                       -0.06      -0.03  12620.96        0.18\n",
      "SVR                                         -0.10      -0.07  12889.18        0.17\n",
      "QuantileRegressor                           -0.11      -0.07  12912.33       72.46\n",
      "KernelRidge                                 -0.37      -0.33  14351.44        0.14\n",
      "LinearSVR                                   -0.97      -0.91  17228.08        0.02\n",
      "MLPRegressor                                -1.03      -0.97  17487.15        1.37\n",
      "GaussianProcessRegressor                  -218.06    -211.50 181632.53        0.22,      AdaBoostRegressor  BaggingRegressor  BayesianRidge  DecisionTreeRegressor  DummyRegressor  ElasticNet  ElasticNetCV  ExtraTreeRegressor  ExtraTreesRegressor  GammaRegressor  GaussianProcessRegressor  GradientBoostingRegressor  HistGradientBoostingRegressor  HuberRegressor  KNeighborsRegressor  KernelRidge     Lars   LarsCV    Lasso  LassoCV  LassoLars  LassoLarsCV  LassoLarsIC  LinearRegression  LinearSVR  MLPRegressor    NuSVR  OrthogonalMatchingPursuit  OrthogonalMatchingPursuitCV   \n",
      "0             11846.22          10432.60        9093.90                8604.00        13345.60    10200.64      12830.62             8515.00             11118.23         9936.24                  38886.25                   10698.26                       10374.40         9372.00              8968.80     -4255.69  9087.64  8736.23  9081.57  8740.99    9081.61      8736.23      8827.25           9087.64    1070.00        127.66 10822.39                    8577.83                      8665.15  \\\n",
      "1              6903.22           5199.20        7244.80                5266.00        13345.60     8917.33      12595.62             5266.00              5218.13         8761.59                  15301.56                    5734.42                        4718.68         6047.03              5637.20     -6108.60  7232.56  7378.76  7234.55  7364.63    7234.52      7378.76      7383.20           7232.56    1070.00        171.07 10804.82                    8577.83                      7119.73   \n",
      "2             25955.25          28190.70       36677.39               28950.00        13345.60    28309.12      15336.45            28950.00             28929.76        24431.76                  27108.06                   27912.44                       27764.78        44302.98             25358.80     23374.48 36744.39 36416.69 36742.92 36453.71   36742.89     36416.69     36724.35          36744.39    1070.00        774.36 10865.98                   31766.50                     36675.95   \n",
      "3             11846.22           9068.40        9403.09                9500.00        13345.60    10803.03      12959.54             9500.00              9897.73        10297.70                   8727.05                   10029.83                        9226.13         9345.12             13092.40     -3950.29  9390.86  9308.04  9393.34  9324.34    9393.32      9308.04      9468.69           9390.86    1070.00        453.58 10832.97                    8577.83                      9351.96   \n",
      "4             37281.18          34246.20       26800.35               33732.00        13345.60    22225.01      14589.06            33732.00             34285.03        15254.29                  26435.88                   33254.84                       32438.61        32248.31             21178.20     13477.45 26835.97 26756.82 26838.31 26763.98   26838.28     26756.82     26915.22          26835.97    1070.00        450.85 10850.27                   31766.50                     26730.30   \n",
      "..                 ...               ...            ...                    ...             ...         ...           ...                 ...                  ...             ...                       ...                        ...                            ...             ...                  ...          ...      ...      ...      ...      ...        ...          ...          ...               ...        ...           ...      ...                        ...                          ...   \n",
      "263           46684.89          47010.10       39123.92               46889.00        13345.60    30859.26      15984.89            49577.00             47121.10        26967.28                  46024.34                   45930.30                       46474.97        43822.66             45226.60     25818.71 39187.30 38915.28 39186.79 38970.23   39186.78     38915.28     39117.53          39187.30    1070.00       1469.98 10877.12                   31766.50                     39350.28   \n",
      "264           14070.33          11981.00       11880.97               12224.00        13345.60    11911.73      12998.08            12224.00             13710.76        10982.51                  13812.41                   12145.89                       12198.05        11722.08             15368.00     -1464.11 11881.78 11931.78 11883.14 11931.09   11883.11     11931.78     11999.21          11881.78    1070.00        324.25 10832.97                    8577.83                     11801.08   \n",
      "265            8088.90           5957.40        7862.71                5484.00        13345.60     9665.22      12828.91             4667.00              5678.56         9183.99                   2664.48                    6659.03                        5573.75         6852.35              5196.40     -5490.98  7850.02  7588.66  7846.70  7582.79    7846.73      7588.66      7632.10           7850.02    1070.00        147.25 10799.79                    8577.83                      7412.29   \n",
      "266           46684.89          46853.20       40847.32               47269.00        13345.60    31800.21      16095.63            48675.00             46389.89        27445.96                  24772.61                   48825.35                       47274.47        42444.35             45153.40     27546.94 40918.30 40340.94 40913.12 40412.94   40913.12     40340.94     40711.08          40918.30    1070.00       1487.76 10858.83                   31766.50                     40944.14   \n",
      "267           11846.22           9663.40       12403.76                9880.00        13345.60    12476.86      13148.35            10806.00              9875.65        10944.52                -228844.77                   10414.36                       11117.36        10319.27              8913.60      -941.87 12403.71 12501.26 12403.28 12487.60   12403.28     12501.26     12429.71          12403.71    1070.00        411.59 10829.10                    8577.83                     12710.33   \n",
      "\n",
      "     PassiveAggressiveRegressor  PoissonRegressor  QuantileRegressor  RANSACRegressor  RandomForestRegressor    Ridge  RidgeCV  SGDRegressor     SVR  TransformedTargetRegressor  TweedieRegressor  XGBRegressor  LGBMRegressor  \n",
      "0                       9351.30           8578.15            9579.63          9437.39                9672.39  9089.91  9089.91       9087.51 9556.74                     9087.64          10895.14       9674.54       10374.40  \n",
      "1                       6087.96           7420.79            9579.63          6018.16                5283.42  7237.00  7237.00       7119.92 9542.49                     7232.56           9868.87       5326.53        4718.68  \n",
      "2                      44505.27          44597.83            9579.63         47072.58               28300.00 36720.08 36720.08      36724.44 9624.82                    36744.39          24314.57      28877.63       27764.78  \n",
      "3                       9211.35           8538.93            9579.63          9410.24               12149.68  9395.30  9395.30       9373.57 9566.13                     9390.86          11438.44       8366.38        9226.13  \n",
      "4                      32353.53          20505.36            9579.63         34796.70               34372.22 26823.04 26823.04      26678.97 9594.57                    26835.97          19949.94      33976.92       32438.61  \n",
      "..                          ...               ...                ...              ...                    ...      ...      ...           ...     ...                         ...               ...           ...            ...  \n",
      "263                    43883.80          51633.75            9579.63         46342.66               46998.41 39164.30 39164.30      39249.99 9632.24                    39187.30          26616.32      43322.63       46474.97  \n",
      "264                    11765.11          10559.44            9579.63         11763.76               12347.93 11881.48 11881.48      11844.60 9594.54                    11881.78          12072.07       9371.12       12198.05  \n",
      "265                     6755.05           7616.36            9579.63          6732.23                5878.09  7854.62  7854.62       7826.07 9531.19                     7850.02          10606.49       5741.62        5573.75  \n",
      "266                    42553.01          60596.03            9579.63         44848.58               46646.82 40892.54 40892.54      40922.40 9609.95                    40918.30          27265.57      44670.84       47274.47  \n",
      "267                    10261.78          11094.23            9579.63         10150.44                9836.84 12403.73 12403.73      12369.28 9577.84                    12403.71          12590.40       9746.87       11117.36  \n",
      "\n",
      "[268 rows x 42 columns])\n"
     ]
    }
   ],
   "source": [
    "# LazyPredict kullanarak modelleri değerlendirme\n",
    "regressor = LazyRegressor(predictions=True)\n",
    "models = regressor.fit(X_train_scaled_df, X_test_scaled_df, y_train, y_test)\n",
    "\n",
    "print(models)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examine the performances of the selected models using cross validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross-Validation Skorları: [0.87587741 0.79814007 0.89496311 0.85370452 0.86502215]\n",
      "Ortalama R^2 Skoru: 0.8575414501475116\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "# GradientBoostingRegressor modeli oluşturun\n",
    "model = GradientBoostingRegressor()\n",
    "\n",
    "# Cross-validation yaparak R^2 skoru kullanarak modelin performansını değerlendirin\n",
    "# cv parametresi, kaç katlı cross-validation yapılacağını belirtir\n",
    "scores = cross_val_score(model, X, y, cv=5, scoring='r2')\n",
    "\n",
    "# Sonuçları yazdırın\n",
    "print(\"Cross-Validation Skorları:\", scores)\n",
    "print(\"Ortalama R^2 Skoru:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. Hyper-parameter Optimization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 18904828.29058365\n"
     ]
    }
   ],
   "source": [
    "# GradientBoostingRegressor modelini oluşturma\n",
    "model = GradientBoostingRegressor()\n",
    "\n",
    "# Modeli eğitme\n",
    "model.fit(X_train_scaled_df, y_train)\n",
    "\n",
    "# Modeli kullanarak tahmin yapma\n",
    "y_pred = model.predict(X_test_scaled_df)\n",
    "\n",
    "# Mean Squared Error (MSE) hesaplama\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(\"Mean Squared Error:\", mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "En İyi Parametreler: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 50}\n",
      "En İyi Skor: 0.8485618219480443\n"
     ]
    }
   ],
   "source": [
    "# Grid Search için olası hiperparametre değerleri\n",
    "param_grid = {\n",
    "    'n_estimators': [50, 100, 150],\n",
    "    'learning_rate': [0.01, 0.1, 0.2],\n",
    "    'max_depth': [3, 4, 5]\n",
    "}\n",
    "\n",
    "# Grid Search modeli oluşturma\n",
    "grid_search = GridSearchCV(GradientBoostingRegressor(), param_grid, cv=5)\n",
    "\n",
    "# Grid Search ile en iyi parametreleri bulma\n",
    "grid_search.fit(X_train_scaled_df, y_train)\n",
    "\n",
    "# En iyi parametreleri ve skorları yazdırma\n",
    "print(\"En İyi Parametreler:\", grid_search.best_params_)\n",
    "print(\"En İyi Skor:\", grid_search.best_score_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Default => GradientBoostingRegressor(loss='ls', learning_rate=0.1, n_estimators=100, subsample=1.0,\n",
    "                          criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1,\n",
    "                          min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0,\n",
    "                          min_impurity_split=None, init=None, random_state=None, max_features=None,\n",
    "                          alpha=0.9, verbose=0, max_leaf_nodes=None, warm_start=False, presort='deprecated',\n",
    "                          validation_fraction=0.1, n_iter_no_change=None, tol=0.0001, ccp_alpha=0.0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7. Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error (MSE): 18904828.29058365\n",
      "Mean Absolute Error (MAE): 2466.687755144924\n",
      "R-squared (R2) Score: 0.878228528426491\n"
     ]
    }
   ],
   "source": [
    "# GradientBoostingRegressor modelini oluşturma\n",
    "model = GradientBoostingRegressor()\n",
    "\n",
    "# Modeli eğitme\n",
    "model.fit(X_train_scaled_df, y_train)\n",
    "\n",
    "# Modeli kullanarak tahmin yapma\n",
    "y_pred = model.predict(X_test_scaled_df)\n",
    "\n",
    "# Mean Squared Error (MSE) hesaplama\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(\"Mean Squared Error (MSE):\", mse)\n",
    "\n",
    "# Mean Absolute Error (MAE) hesaplama\n",
    "mae = mean_absolute_error(y_test, y_pred)\n",
    "print(\"Mean Absolute Error (MAE):\", mae)\n",
    "\n",
    "# R-squared (R2) Score hesaplama\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "print(\"R-squared (R2) Score:\", r2)"
   ]
  }
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