Odovzdanie 3- Villant, Vykopal.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projekt - odovzdanie 3\n",
    "\n",
    "**Autori:** Patrik Villant, Ivan Vykopal\n",
    " \n",
    "**Cvičenie:** Utorok o 14:00\n",
    " \n",
    "**Cvičiaci:** Ing. Peter Bakonyi\n",
    " \n",
    "**Dátová sada:** 55\n",
    " \n",
    "**Podiel práce:** 50/50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import re\n",
    "import datetime\n",
    "import math\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.impute import KNNImputer\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import PowerTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.base import TransformerMixin\n",
    "from sklearn.metrics import ConfusionMatrixDisplay\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn import tree\n",
    "from sklearn.tree import export_graphviz\n",
    "from graphviz import Source\n",
    "from IPython.display import SVG\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "import os\n",
    "os.environ[\"PATH\"] += os.pathsep + 'C:/Program Files/Graphviz 2.44.1/bin/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MergeTransformer(TransformerMixin):\n",
    "    def __init__(self, personal, other, columns=['name', 'address']):\n",
    "        self.personal = personal\n",
    "        self.other = other\n",
    "        self.columns = columns\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data = pd.merge(self.personal, self.other, on=self.columns, how = 'inner')\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class SplittingMedicalTransformer(TransformerMixin):\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for i in range(len(data)):\n",
    "            row = data.medical_info[i]\n",
    "            if str(row) == 'nan':\n",
    "                j ={'mean_glucose': np.nan,\n",
    "                     'std_glucose': np.nan,\n",
    "                     'kurtosis_glucose': np.nan,\n",
    "                     'skewness_glucose': np.nan,\n",
    "                     'mean_oxygen': np.nan,\n",
    "                     'std_oxygen': np.nan,\n",
    "                     'kurtosis_oxygen': np.nan,\n",
    "                     'skewness_oxygen': np.nan}\n",
    "            else:\n",
    "                j = eval(str(row))\n",
    "            data.at[i,'mean_glucose'] = float(j['mean_glucose'])\n",
    "            data.at[i,'std_glucose'] = float(j['std_glucose'])\n",
    "            data.at[i,'kurtosis_glucose'] = float(j['kurtosis_glucose'])\n",
    "            data.at[i,'skewness_glucose'] = float(j['skewness_glucose'])\n",
    "            data.at[i,'mean_oxygen'] = float(j['mean_oxygen'])\n",
    "            data.at[i,'std_oxygen'] = float(j['std_oxygen'])\n",
    "            data.at[i,'kurtosis_oxygen'] = float(j['kurtosis_oxygen'])\n",
    "            data.at[i,'skewness_oxygen'] = float(j['skewness_oxygen'])\n",
    "        data = data.drop(columns=['medical_info'])\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DeduplicationTransformer(TransformerMixin):\n",
    "    def __init__(self, columns=['name', 'address']):\n",
    "        self.columns = columns\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        duplicates = data[data.duplicated(self.columns)]\n",
    "        unique_names = duplicates.name.unique()\n",
    "        for i in unique_names: \n",
    "            helper = data[data.name == i]\n",
    "            helper = helper.fillna(method='ffill')\n",
    "            helper = helper.drop_duplicates(self.columns, keep = 'last')\n",
    "            data = data.append(helper)\n",
    "    \n",
    "        data.drop_duplicates(self.columns, inplace = True, keep = 'last')\n",
    "        data = data.reset_index(drop = True)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class StripTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data[self.columns] = data[self.columns].apply(lambda x: x.str.strip())\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "class UnificationToNanTransformer(TransformerMixin):\n",
    "    \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data.replace(to_replace=r'\\?+', value=np.nan, regex=True, inplace=True)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DateUnificationTransformer(TransformerMixin):\n",
    "    \n",
    "    def _unifyFormats(self, data):\n",
    "        data = data[:10]\n",
    "        date = re.sub('[0-9]','0', data)\n",
    "        if date == '0000/00/00':\n",
    "            data = data.replace('/', '-')\n",
    "        if date == '00/00/0000':\n",
    "            data = data[6:] + '-' + data[3:5] +'-' + data[:2]\n",
    "        if date == '00-00-00':\n",
    "            if data[0] == 0 or data[0] == 1:\n",
    "                data = '20' + data[:2] + '-' + data[3:5] + '-' + data[6:]\n",
    "            else:\n",
    "                data = '19' + data[:2] + '-' + data[3:5] + '-' + data[6:]\n",
    "        \n",
    "        return data\n",
    "    \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data['date_of_birth'] = data['date_of_birth'].apply(self._unifyFormats)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AddressUnificationTransformer(TransformerMixin):\n",
    "    \n",
    "    def _splittAddress(self, data):\n",
    "        data['street'] = 'street'\n",
    "        data['town'] = 'town'\n",
    "        data['psc'] = 'psc'\n",
    "        for i in range(len(data.address)):\n",
    "            helper = re.split('\\n|, ', data.address[i])\n",
    "            data.loc[i, 'street'] = str(helper[0]).strip()\n",
    "            data.loc[i, 'town'] = str(helper[1])\n",
    "            if len(helper) == 2:\n",
    "                data.loc[i, 'town'] = str(helper[1][:-8])\n",
    "                data.loc[i, 'psc'] = str(helper[1][-8:])\n",
    "            if len(helper) == 3:\n",
    "                data.loc[i, 'psc'] = str(helper[2])\n",
    "        data = data.drop(columns=['address'])\n",
    "        return data\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data = self._splittAddress(data)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AgeUnificationTransformer(TransformerMixin):\n",
    "    \n",
    "    def _unifyAge(self, data):\n",
    "        date = datetime.date(2019, 12, 31)\n",
    "        birth = datetime.date(int(data[:4]), int(data[5:7]), int(data[8:]))\n",
    "        age = date - birth\n",
    "        age = age.days // 365\n",
    "        return age\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data['age'] = data['date_of_birth'].apply(self._unifyAge)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "class PregnantUnificationTransformer(TransformerMixin):\n",
    "          \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for i in range(len(data)):\n",
    "            if data.loc[i, 'pregnant'] in ['f','F','FALSE']:\n",
    "                data.loc[i, 'pregnant'] = int(0)\n",
    "            elif data.loc[i, 'pregnant'] in ['t','T','TRUE']:\n",
    "                data.loc[i, 'pregnant'] = int(1)\n",
    "            elif data.loc[i, 'sex'] == 'Male':\n",
    "                data.loc[i, 'pregnant'] = int(0)\n",
    "            else: \n",
    "                data.loc[i, 'pregnant'] = np.nan\n",
    "        data.pregnant = data.pregnant.astype('int64')\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "class WorkclassUnificationTransformer(TransformerMixin):\n",
    "    def _unifyWorkclass(self, data):\n",
    "        string = str(data).lower()\n",
    "        if string == 'nan':\n",
    "            return np.nan\n",
    "        else:\n",
    "            return string\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data.workclass = data.workclass.apply(self._unifyWorkclass)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RelationshipUnificationTransformer(TransformerMixin):\n",
    "    def _unifyRelationship(self, data):\n",
    "        string = str(data)\n",
    "        if string == 'nan':\n",
    "            return np.nan\n",
    "        else:\n",
    "            return string.replace('_', '-')\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        data['relationship'] = data['relationship'].apply(self._unifyRelationship)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MedianTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        self.medians = {}\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            self.medians[column] = data[column].median()\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            data[column].fillna(self.medians[column], inplace=True)\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MeanTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        self.means = {}\n",
    "        \n",
    "    def fit(self, data, y=None):      \n",
    "        for column in self.columns:\n",
    "            self.means[column] = data[column].mean()\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            data[column].fillna(self.means[column], inplace=True)\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MostFrequentTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        self.modes = {}\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            self.modes[column] = data[column].mode()[0]\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            data[column].fillna(self.modes[column], inplace=True)\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class KNNTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        \n",
    "    def _kNN(self, data, column):\n",
    "        imp_kNN = KNNImputer(missing_values=np.nan)\n",
    "        data[column] = imp_kNN.fit_transform(data[[column]])\n",
    "        return data\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            data = self._kNN(data, column)\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AgeToNanTransformer(TransformerMixin):\n",
    "        \n",
    "    def _ageToNan(self, data):\n",
    "        if data < 0:\n",
    "            return np.nan\n",
    "        else:\n",
    "            return data\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None): \n",
    "        data['age'] = data['age'].apply(self._ageToNan)   \n",
    "        return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pri triede **ClassRemovalTransformer** prišlo k zmene. Upravili sme túto triedu tak, aby sa po vymazaní záznamov zresetovali indexy záznamov, aby nám v datasete nevznikli diery v rámci indexov záznamov."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ClassRemovalTransformer(TransformerMixin):\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None): \n",
    "        data = data[data['class'].notna()]\n",
    "        data = data.reset_index(drop = True)\n",
    "        return data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "class OutliersTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        \n",
    "    def _standarddeviation(self, data):\n",
    "        data_mean, data_std = np.mean(data), np.std(data)\n",
    "\n",
    "        cut_off = data_std * 3\n",
    "        lower, upper = data_mean - cut_off, data_mean + cut_off \n",
    "\n",
    "        outliers = [x for x in data if x < lower or x > upper] \n",
    "        print('Počet záznamov=', len(data), ', počet outlierov: %d' % len(outliers))\n",
    "        print('\\n')\n",
    "                \n",
    "    def _setOutliers(self, data, column):\n",
    "        percentile_95 = data[column].quantile(0.95)\n",
    "        percentile_05 = data[column].quantile(0.05)\n",
    "        data.loc[data[column] < percentile_05, column] = percentile_05\n",
    "        data.loc[data[column] > percentile_95, column] = percentile_95\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            print('Atribút ', column, '\\n')\n",
    "            print('Pred úpravou:')\n",
    "            self._standarddeviation(data[column])\n",
    "            self._setOutliers(data, column)\n",
    "            print('Po úprave:')\n",
    "            self._standarddeviation(data[column])\n",
    "            print('-------------------------------------------------------------------------------------------------------------')\n",
    "\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "class PowerTransformTransformer(TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        \n",
    "    def _powerTransform(self, data, column):\n",
    "        power = PowerTransformer(method='yeo-johnson', standardize=True) \n",
    "        data[column] = power.fit_transform(data[[column]])\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            self._powerTransform(data, column)\n",
    "            \n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "class HoursUnificationTransformer(TransformerMixin):\n",
    "        \n",
    "    def _hoursToNan(self, data):\n",
    "        if data < 0 or data > 168:\n",
    "            return np.nan\n",
    "        else:\n",
    "            return data\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None): \n",
    "        data['hours-per-week'] = data['hours-per-week'].apply(self._hoursToNan)   \n",
    "        return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre **LabelEncoderTransformer** sme upravili to, že v testovacích dátach sa nachádzali aj také hodnoty, ktoré v trénovacích dátach neboli. Na základe týchto zistení sme pre fit metódu, ktorá sa spúšťa na trénovacích dátach vytvorili pre každý atribút kategóriu navyše nazývanú **Unknown**. Do tejto kategórie v rámci atribútu patria tie hodnoty, ktoré sa v trénovacích dátach nevyskytujú, ale v testovacích dátach áno. Takto sme docielili správnosť priraďovania tried aj pre testovacie dáta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LabelEncoderTransformer(TransformerMixin):\n",
    "    \n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "        self.encoders = {}\n",
    "        for column in self.columns:\n",
    "            self.encoders[column] = LabelEncoder()\n",
    "        \n",
    "    def fit(self, data, y=None):\n",
    "        for column in self.columns:\n",
    "            self.encoders[column].fit(list(data[column]) + ['Unknown'])\n",
    "        return self\n",
    "    \n",
    "    def transform(self, data, y=None): \n",
    "        for column in self.columns:\n",
    "            data_list = list(data[column])\n",
    "            for unique_item in np.unique(data[column]):\n",
    "                if unique_item not in self.encoders[column].classes_:\n",
    "                    data_list = ['Unknown' if x==unique_item else x for x in data_list]\n",
    "\n",
    "            data[column] = self.encoders[column].transform(data_list)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Po vložení potrebných tried, sme načítali aj trénovacie aj testovacie dáta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "personal_train = pd.read_csv('personal_train.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "other_train = pd.read_csv('other_train.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "personal_valid = pd.read_csv('personal_valid.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "other_valid = pd.read_csv('other_valid.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spustili sme pipeline z predspracovania na trénovacích dátach, tak aby sa nám uložili jednotlivé mapovania najmä pre kódovanie hodnôt na numerické."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_train, other_train, ['name', 'address']))])\n",
    "\n",
    "data_train = pd.DataFrame()\n",
    "data_train = merge.transform(data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "most_frequent_missing = ['education-num','race', 'marital-status', 'occupation', 'relationship', 'native-country', 'workclass', 'capital-gain', 'capital-loss']\n",
    "\n",
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "encode = ['sex', 'race', 'marital-status', 'occupation', 'relationship', 'income', 'native-country', 'workclass', 'town', 'psc', 'street']\n",
    "\n",
    "outliers = ['fnlwgt', 'mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose', 'mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen']\n",
    "\n",
    "pip = Pipeline([('split_medical', SplittingMedicalTransformer()),\n",
    "               ('deduplication', DeduplicationTransformer(['name','address'])),\n",
    "               ('strip', StripTransformer(['sex', 'race', 'marital-status', 'occupation', 'relationship', 'education', 'income', 'native-country', 'workclass'])),\n",
    "               ('nan_unification', UnificationToNanTransformer()),\n",
    "               ('date_unification', DateUnificationTransformer()),\n",
    "               ('address_unification', AddressUnificationTransformer()),\n",
    "               ('age_unification', AgeUnificationTransformer()),\n",
    "               ('pregnant_unification', PregnantUnificationTransformer()),\n",
    "               ('workclass_unification', WorkclassUnificationTransformer()),\n",
    "               ('relationship_unification', RelationshipUnificationTransformer()),\n",
    "               ('age_to_nan', AgeToNanTransformer()),\n",
    "               ('most_frequent_missing', MostFrequentTransformer(most_frequent_missing)),\n",
    "               ('class_remove', ClassRemovalTransformer()),\n",
    "               ('hours-per-week', MeanTransformer(['hours-per-week'])),\n",
    "               ('glucose', KNNTransformer(glucose)),\n",
    "               ('oxygen_age', MedianTransformer(oxygen_age)),\n",
    "               ('power_transform',PowerTransformTransformer(outliers)),\n",
    "               ('outliers', OutliersTransformer(outliers)),\n",
    "               ('encode', LabelEncoderTransformer(encode))])\n",
    "\n",
    "pip.fit(data_train)\n",
    "data_train = pip.transform(data_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spojili sme testovacie datasety personal a other do jedného datsetu. Následne na tento dataset sme spustili pipelin z kroku vyššie. Tu sme už využili len metódu predict, keďže cez fit funkciu sa ukladali niektoré hodnoty, ktoré budú využité aj pri testovacích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_valid, other_valid, ['name', 'address']))])\n",
    "\n",
    "data_valid = pd.DataFrame()\n",
    "data_valid = merge.transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 2\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "data_valid = pip.transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>name</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>date_of_birth</th>\n",
       "      <th>race</th>\n",
       "      <th>marital-status</th>\n",
       "      <th>occupation</th>\n",
       "      <th>pregnant</th>\n",
       "      <th>education-num</th>\n",
       "      <th>relationship</th>\n",
       "      <th>...</th>\n",
       "      <th>std_glucose</th>\n",
       "      <th>kurtosis_glucose</th>\n",
       "      <th>skewness_glucose</th>\n",
       "      <th>mean_oxygen</th>\n",
       "      <th>std_oxygen</th>\n",
       "      <th>kurtosis_oxygen</th>\n",
       "      <th>skewness_oxygen</th>\n",
       "      <th>street</th>\n",
       "      <th>town</th>\n",
       "      <th>psc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Philip Miller</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>1967-09-03</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.010168</td>\n",
       "      <td>-1.083175</td>\n",
       "      <td>-0.255202</td>\n",
       "      <td>-0.416802</td>\n",
       "      <td>-0.491678</td>\n",
       "      <td>0.332974</td>\n",
       "      <td>0.387414</td>\n",
       "      <td>3922</td>\n",
       "      <td>2226</td>\n",
       "      <td>3520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mitch Wilson</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>1969-07-19</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>1.065302</td>\n",
       "      <td>-0.959011</td>\n",
       "      <td>-1.406078</td>\n",
       "      <td>0.422036</td>\n",
       "      <td>0.471178</td>\n",
       "      <td>-0.495901</td>\n",
       "      <td>-0.527878</td>\n",
       "      <td>3922</td>\n",
       "      <td>2933</td>\n",
       "      <td>3520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>James Olsen</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>1983-01-20</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.281893</td>\n",
       "      <td>-0.503283</td>\n",
       "      <td>-0.059564</td>\n",
       "      <td>-1.386288</td>\n",
       "      <td>-1.454295</td>\n",
       "      <td>1.468397</td>\n",
       "      <td>1.458314</td>\n",
       "      <td>3922</td>\n",
       "      <td>2933</td>\n",
       "      <td>3520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Maurice Riley</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1963-04-18</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.010168</td>\n",
       "      <td>-0.971483</td>\n",
       "      <td>-0.600971</td>\n",
       "      <td>-0.241584</td>\n",
       "      <td>-0.059667</td>\n",
       "      <td>0.314069</td>\n",
       "      <td>0.286062</td>\n",
       "      <td>3922</td>\n",
       "      <td>810</td>\n",
       "      <td>3520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry Stanley</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>1947-09-04</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.670691</td>\n",
       "      <td>1.733144</td>\n",
       "      <td>1.706862</td>\n",
       "      <td>1.609443</td>\n",
       "      <td>1.272269</td>\n",
       "      <td>-1.452033</td>\n",
       "      <td>-1.462614</td>\n",
       "      <td>3922</td>\n",
       "      <td>2933</td>\n",
       "      <td>3520</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  age  sex date_of_birth  race  marital-status  occupation  \\\n",
       "0  Philip Miller   52    1    1967-09-03     5               4           4   \n",
       "1   Mitch Wilson   50    0    1969-07-19     5               4           0   \n",
       "2    James Olsen   36    1    1983-01-20     5               2          13   \n",
       "3  Maurice Riley   56    1    1963-04-18     5               2          11   \n",
       "4  Larry Stanley   72    1    1947-09-04     5               4           9   \n",
       "\n",
       "   pregnant  education-num  relationship  ...  std_glucose kurtosis_glucose  \\\n",
       "0         0            9.0             1  ...    -0.010168        -1.083175   \n",
       "1         0           10.0             3  ...     1.065302        -0.959011   \n",
       "2         0            9.0             0  ...    -0.281893        -0.503283   \n",
       "3         0            4.0             0  ...    -0.010168        -0.971483   \n",
       "4         0           10.0             3  ...    -1.670691         1.733144   \n",
       "\n",
       "   skewness_glucose  mean_oxygen  std_oxygen  kurtosis_oxygen  \\\n",
       "0         -0.255202    -0.416802   -0.491678         0.332974   \n",
       "1         -1.406078     0.422036    0.471178        -0.495901   \n",
       "2         -0.059564    -1.386288   -1.454295         1.468397   \n",
       "3         -0.600971    -0.241584   -0.059667         0.314069   \n",
       "4          1.706862     1.609443    1.272269        -1.452033   \n",
       "\n",
       "   skewness_oxygen  street  town   psc  \n",
       "0         0.387414    3922  2226  3520  \n",
       "1        -0.527878    3922  2933  3520  \n",
       "2         1.458314    3922  2933  3520  \n",
       "3         0.286062    3922   810  3520  \n",
       "4        -1.462614    3922  2933  3520  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_valid.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Po vykonaní pipeline sme si dali vypísať prvých 5 záznamo, kde je možné vidieť, že dáta majú číslené hodnoty, až na atribúty **name**, **date_of_birth** a **education**, ktorý je vlastne mapovaný v education-num.\n",
    "\n",
    "## Manuálne vytvorenie rozhodovaích pravidiel\n",
    "\n",
    "### Pre jeden atribút\n",
    "\n",
    "Zvolený atribút **kurtosis_glucose**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ill_kg = data_train[data_train['class'] == 0.0].kurtosis_glucose\n",
    "healthy_kg = data_train[data_train['class'] == 1.0].kurtosis_glucose\n",
    "df = pd.DataFrame({\n",
    "    'ill': ill_kg,\n",
    "    'healthy': healthy_kg})\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Na základe histogamu sme si zvolili hodnotu 0.5. Tí pacienti, ktorí budú mať **kurotosis_glucose** pod touto hodnotou budú považovaní za chorých, ostatní budú považovaní za zdravých.\n",
    "\n",
    "Na základe tohto zistenia sme vytvorili **KurtosisGlucosePredictor**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "class KurtosisGlucosePredictor():\n",
    "    \n",
    "    def predict(self, data):\n",
    "        if data <= 0.5:\n",
    "            return 0.0\n",
    "        else:\n",
    "            return 1.0\n",
    "    \n",
    "    def transform(self, data):\n",
    "        predicted = data['kurtosis_glucose'].apply(self.predict)\n",
    "        return predicted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spustili náš prediktor na testovacích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_valid = KurtosisGlucosePredictor().transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.97      0.97       965\n",
      "         1.0       0.91      0.91      0.91       346\n",
      "\n",
      "    accuracy                           0.95      1311\n",
      "   macro avg       0.94      0.94      0.94      1311\n",
      "weighted avg       0.95      0.95      0.95      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9511823035850496\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Na základe vypísaných metrík, správnosť vychádza na hodnotu približne 0.951, t.j 95.1%. Boli vypísané aj metriky ako presnosť, úplnosť a f1-score.\n",
    "\n",
    "### Pre päť atribútov\n",
    "\n",
    "Zvolené atribúty **kurtosis_glucose**, **mean_glucose**, **mean_oxygen**, **kurtosis_oxygen**, **skewness_glucose**.\n",
    "\n",
    "Histogram pre **kurtosis_glucose** je vytvorený už pri predchádzajúcom prediktore (klasifikátore). V tejto časti sme zobrazili histogramy pre **mean_glucose**, **mean_oxygen**, **kurtosis_oxygen** a **skewness_glucose**. Boli vybraté na základe závislostí, ktoré boli odhalené pri predspracovaní."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ill_mg = data_train[data_train['class'] == 0.0].mean_glucose\n",
    "healthy_mg = data_train[data_train['class'] == 1.0].mean_glucose\n",
    "df = pd.DataFrame({\n",
    "    'ill': ill_mg,\n",
    "    'healthy': healthy_mg})\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre atribút **mean_glucose** sme vybrali porovnávaciu hodnotu -0.7 na základe histogramu. Pre hodnotu atribútu menšiu ako je hodnota -0.7 sú pacienti pravdepodobne zdraví, inak sú chorí, na základe daného atribútu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kOcBD+IE7ZmYNp9cLzZIE3A28B3gZeDfwdxGxLOfYzMysynpNChERkh6MiD8AnAjMzBpY1u6jJySdlmskZmZWuKz3KUwG/lzSFkojkESpEfGHeQVmZmbV12NSkHRcRPw38EdVisfMzArUW0thCaXZUV+QdG9E/EkVYjIzs4L0dk1BZeXj8wzEzMyK11tSiG7KZmbWgHrrPjpZ0suUWgxvScrwuwvNx+QanZmZVVWPSSEiBlQrEDMzK17W+xTMzKwJOCmYmVmqkofsmDW8G5dtqHifK6eOzyESs2K4pWBmZiknBTMzSzkpmJlZyknBzMxSvtBsZtbfHvlK0RH0mZNCjvoyksXqT6X/zh6tZLXM3UdmZpbKLSlIuk3SDklryuqOlbRM0sbkdUhSL0k3Sdok6WlJp+YVl5mZdS/PlsLtwHkH1V0DPBwR44CHk2WADwPjkp+5wC05xmVmZt3ILSlExE+AXx1UPR1YmJQXAheU1d8RJSuAwZJG5hWbmZl1rdrXFEZExLak/EtgRFIeBbxYtl1HUmdmZlVU2OijiAhJFT+4R9JcSl1MHHfccf0el5nZIep4iGmlqt1S2N7ZLZS87kjqtwJjyrYbndQdIiIWRERbRLQNHz4812DNzJpNtZPCUuDipHwxcF9Z/axkFNLpwO6ybiYzM6uS3LqPJH0fmAIMk9QBfBH4KrBI0mzgBeDCZPMHgfOBTcBvgEvzisvMzLqXW1KIiE90s+qcLrYN4Iq8YjEzs2w8zUUFPG2FmTU6JwUzsxrw2HO7Ktr+fR/MJw7PfWRmZiknBTMzSzkpmJlZyknBzMxSTgpmZpby6CMzaz5NNJdRpdxSMDOzlJOCmZml3H1kVuMqvZP+yqnjc4rEmoGTglmVeboUq2XuPjIzs5STgpmZpZwUzMws5aRgZmYpJwUzM0s5KZiZWcpJwczMUk4KZmaW8s1rZg2mKe+A9gR3/cYtBTMzSzkpmJlZyknBzMxSTgpmZpYq5EKzpC3AK8B+YF9EtEk6FrgbaAW2ABdGxK+LiM/MrFkV2VL4YERMiIi2ZPka4OGIGAc8nCybmVkV1VL30XRgYVJeCFxQXChmZs2pqKQQwH9KWiVpblI3IiK2JeVfAiO62lHSXEntktp37txZjVjNzJpGUTevnRkRWyW9HVgm6dnylRERkqKrHSNiAbAAoK2trcttzMysbwpJChGxNXndIekHwCRgu6SREbFN0khgRxGxmVkN8B3Khal6UpD0VuCIiHglKZ8L/D2wFLgY+Gryel+1YzOznPhDvm4U0VIYAfxAUufv/15E/IeknwOLJM0GXgAuLCA2M7OmVvWkEBHPASd3Ub8LOKfa8ZiZ2e/U0pBUMzMrmKfONmtyTTnVtnXLScHMKlJpEgG40p80dcPdR2ZmlnL+NrOa89hzuyra/n3HD80pkubjloKZmaXcUjCzipz+3wsq36nGvsm7JdI9JwUzs140UxJx95GZmaXcUjBrMJV276w4bm7vG1lFKm1Z1BInBbMm16drBBWq5w/JZuPuIzMzSzkpmJlZyt1HZlXmPn+rZW4pmJlZyknBzMxS7j4yO0x5j96pxuigeufRTf3HScHqivvjzfLlpGDd8jdUs+bjpGBWxonQmp0vNJuZWappWwp9+UZY7/3TzfgtuBnP2exwuKVgZmappm0pVEPeI2X8LdjM+lvNtRQknSfpF5I2Sbqm6HjMzJpJTbUUJA0A/hGYCnQAP5e0NCLWFRtZdfibv5kVraaSAjAJ2BQRzwFIuguYDtREUvCHtpk1ulpLCqOAF8uWO4DJ5RtImgt0dr6/KukXvRxzGPA//RZh9dV7/OBzqAX1Hj/U/zn0b/yXff1w9n5XdytqLSn0KiIWAJm/sktqj4i2HEPKVb3HDz6HWlDv8UP9n0O9xF9rF5q3AmPKlkcndWZmVgW1lhR+DoyTNFbSm4GZwNKCYzIzaxo11X0UEfskfRr4ETAAuC0i1h7mYev96nC9xw8+h1pQ7/FD/Z9DXcSviCg6BjMzqxG11n1kZmYFclIwM7NUwyUFSTMkrZX0W0ndDv+StEXSM5JWS2qvZow9qSD+mp0ORNKxkpZJ2pi8Dulmu/3J+79aUuEDCnp7TyUdKenuZP3jkloLCLNHGc7hEkk7y973y4qIszuSbpO0Q9KabtZL0k3J+T0t6dRqx9iTDPFPkbS77P3/u2rH2KuIaKgf4L3Au4FHgbYettsCDCs63r7ET+ki/GbgeODNwFPAiUXHXhbf14BrkvI1wD90s92rRcdayXsKXA78c1KeCdxddNx9OIdLgJuLjrWHc/gAcCqwppv15wM/BAScDjxedMwVxj8FeKDoOHv6abiWQkSsj4je7nKuWRnjT6cDiYjXgc7pQGrFdGBhUl4IXFBcKJlleU/Lz+se4BxJqmKMvan1v4teRcRPgF/1sMl04I4oWQEMljSyOtH1LkP8Na/hkkIFAvhPSauSqTPqSVfTgYwqKJaujIiIbUn5l8CIbrZrkdQuaYWkC6oTWreyvKfpNhGxD9gNDK1KdNlk/bv4k6Tr5R5JY7pYX8tq/W8/i/dJekrSDyWdVHQwB6up+xSykvQQ8I4uVv1NRNyX8TBnRsRWSW8Hlkl6Nsnyueun+AvV0zmUL0RESOpu3PO7kn+D44EfS3omIjb3d6x2gPuB70fEXkmfpNTyObvgmJrJE5T+7l+VdD6wBBhXbEgHqsukEBEf6odjbE1ed0j6AaWmd1WSQj/EX/h0ID2dg6TtkkZGxLakab+jm2N0/hs8J+lR4BRKfeJFyPKedm7TIelNwNuAXdUJL5NezyEiyuP9DqXrP/Wk8L/9wxERL5eVH5T0T5KGRUTNTPTXlN1Hkt4qaVBnGTgX6HK0QI2q9elAlgIXJ+WLgUNaP5KGSDoyKQ8D3k+xU6RneU/Lz+tPgR9HcvWwRvR6Dgf1v08D1lcxvv6wFJiVjEI6Hdhd1lVZ8yS9o/M6lKRJlD6Da+mLRUOOPvoYpX7GvcB24EdJ/TuBB5Py8ZRGZjwFrKXUbVN47FnjT5bPBzZQ+mZdM/EnsQ0FHgY2Ag8Bxyb1bcB3kvIZwDPJv8EzwOwaiPuQ9xT4e2BaUm4BFgObgJXA8UXH3Idz+EryN/8U8AjwnqJjPij+7wPbgDeS/wezgb8E/jJZL0oP4tqc/N10O8KwRuP/dNn7vwI4o+iYD/7xNBdmZpZqyu4jMzPrmpOCmZmlnBTMzCzlpGBmZiknBTMzSzkpmJlZyknBzMxS/w8vIIp8jFTIEQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ill_mo = data_train[data_train['class'] == 0.0].mean_oxygen\n",
    "healthy_mo = data_train[data_train['class'] == 1.0].mean_oxygen\n",
    "df = pd.DataFrame({\n",
    "    'ill': ill_mo,\n",
    "    'healthy': healthy_mo})\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre atribút **mean_oxygen** sme vybrali porovnávaciu hodnotu 0.7 na základe histogramu. Pre hodnotu atribútu väčšiu ako je hodnota 0.7 sú pacienti pravdepodobne zdraví, inak sú chorí, na základe daného atribútu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ill_ko = data_train[data_train['class'] == 0.0].kurtosis_oxygen\n",
    "healthy_ko = data_train[data_train['class'] == 1.0].kurtosis_oxygen\n",
    "df = pd.DataFrame({\n",
    "    'ill': ill_ko,\n",
    "    'healthy': healthy_ko})\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre atribút **kurtotisi_oxygen** sme vybrali porovnávaciu hodnotu -0.6 na základe histogramu. Pre hodnotu atribútu väčšiu ako je hodnota -0.6 sú pacienti pravdepodobne chorí, inak sú zdraví na základe daného atribútu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ill_sg = data_train[data_train['class'] == 0.0].skewness_glucose\n",
    "healthy_sg = data_train[data_train['class'] == 1.0].skewness_glucose\n",
    "df = pd.DataFrame({\n",
    "    'ill': ill_sg,\n",
    "    'healthy': healthy_sg})\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre atribút **skewness_glucose** sme vybrali porovnávaciu hodnotu 0.8 na základe histogramu. Pre hodnotu atribútu väčšiu ako je hodnota 0.8 sú pacienti pravdepodobne zdraví, inak sú chorí.\n",
    "\n",
    "Na základe piatich vyššie spomínaných atribútoch sme vytvorili prediktor (klasifikátor), ktorí berie do úvahy päť atribútov. Riešili sme to tak, že v prípade, ak minimálne 3 z 5 atribútov podľa nami zvolených hodnôt vyhodnotia pacienta za chorého, tak pacient je chorý. V prípade, ak len dva atribúty z 5 vyhodnotí pacienta za chorého, tak pacient je pravdepodobne zdraví."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ComplexPredictor():\n",
    "    \n",
    "    def predict(self, row):\n",
    "        \n",
    "        if row.kurtosis_glucose <= 0.5:#chorý\n",
    "            if row.mean_glucose <= -0.7:#zdravý\n",
    "                if row.mean_oxygen <= 0.7:#chorý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 0.0\n",
    "                        \n",
    "                else:#zdravý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 1.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "        \n",
    "            else:#chorý\n",
    "                if row.mean_oxygen <= 0.7:#chorý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 0.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 0.0\n",
    "                        \n",
    "                else:#zdravý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 0.0 \n",
    "\n",
    "        else:#zdravý\n",
    "            if row.mean_glucose <= -0.7:#zdravý\n",
    "                if row.mean_oxygen <= 0.7:#chorý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 1.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                        \n",
    "                else:#zdravý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 1.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 1.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                          \n",
    "            else:#chorý\n",
    "                if row.mean_oxygen <= 0.7:#chorý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 0.0\n",
    "                        \n",
    "                else:#zdravý\n",
    "                    if row.kurtosis_oxygen <= -0.6:#zdravý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 1.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "                    else:#chorý\n",
    "                        if row.skewness_glucose <= 0.8:#chorý\n",
    "                            return 0.0\n",
    "                        else:#zdravý\n",
    "                            return 1.0\n",
    "            \n",
    "    \n",
    "    def transform(self, data):\n",
    "        predicted = []\n",
    "        for i in range(len(data)):\n",
    "            predicted.append(self.predict(data.loc[i]))\n",
    "            \n",
    "        return pd.Series(predicted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Obrázok: our-tree.svg](./our-tree.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spustili nami vytvorený prediktor na testovcích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_valid = ComplexPredictor().transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.98      0.97       965\n",
      "         1.0       0.95      0.86      0.90       346\n",
      "\n",
      "    accuracy                           0.95      1311\n",
      "   macro avg       0.95      0.92      0.93      1311\n",
      "weighted avg       0.95      0.95      0.95      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.950419527078566\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Na základe vypísaných metrík, správnosť vychádza približne 0.95, t.j 95%. Boli vypísané aj metriky ako presnosť, úplnosť a f1-score. Rozdiel medzi klasifikátorom s jedným atribútom a s 5 atribútmi je 0.07%. Lepšiu správnosť má nami vytvorený klasifikátor len s jedným atribútom."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Využitie DecisionTree z scikit-learn\n",
    "\n",
    "Využili sme DecisionTreeClassifier z knižnice scikit-learn. Kde sme si zvolili maximálnu hĺbku stromu 6."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_train.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_train['class']\n",
    "\n",
    "clf = tree.DecisionTreeClassifier(max_depth = 6)\n",
    "clf = clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vytvorili sme vizualizáciu pre DecisionTreeClasifier, ktorý sme využili vyššie. Oranžová farba predstavuje tie vrcholy, kde pre tento vrchol je pacient chorý a pre modrý vrchol je pacient zdravý."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
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       "<text text-anchor=\"middle\" x=\"491\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"491\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<!-- 11&#45;&gt;12 -->\n",
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       "<title>11-&gt;12</title>\n",
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       "<text text-anchor=\"middle\" x=\"616\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">relationship &lt;= 3.5</text>\n",
       "<text text-anchor=\"middle\" x=\"616\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.04</text>\n",
       "<text text-anchor=\"middle\" x=\"616\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 826</text>\n",
       "<text text-anchor=\"middle\" x=\"616\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [809, 17]</text>\n",
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       "<text text-anchor=\"middle\" x=\"516\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"516\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 9</text>\n",
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       "<text text-anchor=\"middle\" x=\"635\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.036</text>\n",
       "<text text-anchor=\"middle\" x=\"635\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 817</text>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 0.379</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.45</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 170</text>\n",
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       "<!-- 16&#45;&gt;17 -->\n",
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       "<title>16-&gt;17</title>\n",
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       "<text text-anchor=\"middle\" x=\"1274\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 71.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1274\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.117</text>\n",
       "<text text-anchor=\"middle\" x=\"1274\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 740</text>\n",
       "<text text-anchor=\"middle\" x=\"1274\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [694, 46]</text>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_oxygen &lt;= 2684.0</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.403</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 150</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [108, 42]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 1068.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 26</text>\n",
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       "<text text-anchor=\"middle\" x=\"1112\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
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       "<title>21-&gt;23</title>\n",
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       "<text text-anchor=\"middle\" x=\"1274\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 47.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1274\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
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       "<title>24-&gt;25</title>\n",
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       "<text text-anchor=\"middle\" x=\"1467\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_oxygen &lt;= 0.693</text>\n",
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       "<title>25-&gt;27</title>\n",
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       "<text text-anchor=\"middle\" x=\"1476\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1476\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"1476\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 5]</text>\n",
       "<text text-anchor=\"middle\" x=\"1476\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 28&#45;&gt;29 -->\n",
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       "<title>28-&gt;29</title>\n",
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       "<text text-anchor=\"middle\" x=\"1585\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1585\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"1585\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1585\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1372\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1372\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"1372\" y=\"-372.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1485\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1485\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 11</text>\n",
       "<text text-anchor=\"middle\" x=\"1485\" y=\"-372.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 11]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1875\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.559</text>\n",
       "<text text-anchor=\"middle\" x=\"1875\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.493</text>\n",
       "<text text-anchor=\"middle\" x=\"1875\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 50</text>\n",
       "<text text-anchor=\"middle\" x=\"1875\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [22, 28]</text>\n",
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       "<title>34-&gt;35</title>\n",
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       "<title>50</title>\n",
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       "<text text-anchor=\"middle\" x=\"2455\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.78</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.039</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 856</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [17, 839]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1797\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 56.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1797\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1797\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 28</text>\n",
       "<text text-anchor=\"middle\" x=\"1797\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 24]</text>\n",
       "<text text-anchor=\"middle\" x=\"1797\" y=\"-349.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>35-&gt;36</title>\n",
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       "<text text-anchor=\"middle\" x=\"1952\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.473</text>\n",
       "<text text-anchor=\"middle\" x=\"1952\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.298</text>\n",
       "<text text-anchor=\"middle\" x=\"1952\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 22</text>\n",
       "<text text-anchor=\"middle\" x=\"1952\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [18, 4]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1682\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= -0.374</text>\n",
       "<text text-anchor=\"middle\" x=\"1682\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.48</text>\n",
       "<text text-anchor=\"middle\" x=\"1682\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 10</text>\n",
       "<text text-anchor=\"middle\" x=\"1682\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 6]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1807\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1807\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 18</text>\n",
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       "<text text-anchor=\"middle\" x=\"1807\" y=\"-238.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>36-&gt;42</title>\n",
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       "<text text-anchor=\"middle\" x=\"1599\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1599\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"1599\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<!-- 37&#45;&gt;38 -->\n",
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       "<text text-anchor=\"middle\" x=\"1719\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= 0.776</text>\n",
       "<text text-anchor=\"middle\" x=\"1719\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1719\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
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       "<!-- 37&#45;&gt;39 -->\n",
       "<g id=\"edge39\" class=\"edge\">\n",
       "<title>37-&gt;39</title>\n",
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       "<text text-anchor=\"middle\" x=\"1711\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1711\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
       "<text text-anchor=\"middle\" x=\"1711\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1711\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>39-&gt;40</title>\n",
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       "<text text-anchor=\"middle\" x=\"1820\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1820\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<text text-anchor=\"middle\" x=\"1942\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">town &lt;= -0.38</text>\n",
       "<text text-anchor=\"middle\" x=\"1942\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
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       "<text text-anchor=\"middle\" x=\"2078\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">native-country &lt;= 0.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2078\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.375</text>\n",
       "<text text-anchor=\"middle\" x=\"2078\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
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       "<text text-anchor=\"middle\" x=\"1842\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1842\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 17</text>\n",
       "<text text-anchor=\"middle\" x=\"1842\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [17, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1842\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1955\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1955\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<text text-anchor=\"middle\" x=\"2064\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2064\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"2064\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 3]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2173\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2173\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<text text-anchor=\"middle\" x=\"2455\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_glucose &lt;= -0.423</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.022</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 820</text>\n",
       "<text text-anchor=\"middle\" x=\"2455\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [9, 811]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2796\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.637</text>\n",
       "<text text-anchor=\"middle\" x=\"2796\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"2796\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2796\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [8, 28]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2382\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_oxygen &lt;= 0.474</text>\n",
       "<text text-anchor=\"middle\" x=\"2382\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.266</text>\n",
       "<text text-anchor=\"middle\" x=\"2382\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 19</text>\n",
       "<text text-anchor=\"middle\" x=\"2382\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 16]</text>\n",
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       "<!-- 51&#45;&gt;52 -->\n",
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       "<text text-anchor=\"middle\" x=\"2527\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3793.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2527\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.015</text>\n",
       "<text text-anchor=\"middle\" x=\"2527\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 801</text>\n",
       "<text text-anchor=\"middle\" x=\"2527\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [6, 795]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2282\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2282\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"2282\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<!-- 52&#45;&gt;53 -->\n",
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       "<text text-anchor=\"middle\" x=\"2395\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2395\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
       "<text text-anchor=\"middle\" x=\"2395\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 16]</text>\n",
       "<text text-anchor=\"middle\" x=\"2395\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 52&#45;&gt;54 -->\n",
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       "<title>52-&gt;54</title>\n",
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       "<title>56</title>\n",
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       "<text text-anchor=\"middle\" x=\"2514\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.209</text>\n",
       "<text text-anchor=\"middle\" x=\"2514\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.01</text>\n",
       "<text text-anchor=\"middle\" x=\"2514\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 765</text>\n",
       "<text text-anchor=\"middle\" x=\"2514\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 761]</text>\n",
       "<text text-anchor=\"middle\" x=\"2514\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 55&#45;&gt;56 -->\n",
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       "<title>55-&gt;56</title>\n",
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       "<title>59</title>\n",
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       "<text text-anchor=\"middle\" x=\"2633\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3796.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2633\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
       "<text text-anchor=\"middle\" x=\"2633\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2633\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 34]</text>\n",
       "<text text-anchor=\"middle\" x=\"2633\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 55&#45;&gt;59 -->\n",
       "<g id=\"edge59\" class=\"edge\">\n",
       "<title>55-&gt;59</title>\n",
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       "<text text-anchor=\"middle\" x=\"2396\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.005</text>\n",
       "<text text-anchor=\"middle\" x=\"2396\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 726</text>\n",
       "<text text-anchor=\"middle\" x=\"2396\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 724]</text>\n",
       "<text text-anchor=\"middle\" x=\"2396\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 56&#45;&gt;57 -->\n",
       "<g id=\"edge57\" class=\"edge\">\n",
       "<title>56-&gt;57</title>\n",
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       "<text text-anchor=\"middle\" x=\"2515\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.097</text>\n",
       "<text text-anchor=\"middle\" x=\"2515\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 39</text>\n",
       "<text text-anchor=\"middle\" x=\"2515\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 37]</text>\n",
       "<text text-anchor=\"middle\" x=\"2515\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>56-&gt;58</title>\n",
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       "<text text-anchor=\"middle\" x=\"2630\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2630\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2630\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2743\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.056</text>\n",
       "<text text-anchor=\"middle\" x=\"2743\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 35</text>\n",
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       "<title>63</title>\n",
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       "<text text-anchor=\"middle\" x=\"2796\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 1.085</text>\n",
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       "<text text-anchor=\"middle\" x=\"2989\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 49.5</text>\n",
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       "<text text-anchor=\"middle\" x=\"2746\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2746\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
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       "<text text-anchor=\"middle\" x=\"2855\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2855\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2855\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2989\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_oxygen &lt;= -1.678</text>\n",
       "<text text-anchor=\"middle\" x=\"2989\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.49</text>\n",
       "<text text-anchor=\"middle\" x=\"2989\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
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       "<text text-anchor=\"middle\" x=\"3142\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">capital-loss &lt;= 27.0</text>\n",
       "<text text-anchor=\"middle\" x=\"3142\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.08</text>\n",
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      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>svg{width:50% !important;height:50% !important;}</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "columns = ['sex', 'race', 'marital-status', 'occupation', 'pregnant', 'education-num', 'relationship', 'capital-gain', 'fnlwgt', 'income', 'native-country', 'hours-per-week', 'capital-loss', 'workclass', 'street', 'town', 'psc'] + glucose + oxygen_age\n",
    "\n",
    "# generovanie grafu pre obrázok\n",
    "export_graphviz(clf, out_file='dectree1.dot', feature_names=columns, class_names=['0.0', '1.0'], filled = True)\n",
    "\n",
    "graph = Source(export_graphviz(clf, \n",
    "                               out_file=None,\n",
    "                               feature_names=columns,\n",
    "                               class_names=['0.0', '1.0'],\n",
    "                               filled = True))\n",
    "\n",
    "display(SVG(graph.pipe(format='svg')))\n",
    "\n",
    "from IPython.display import HTML # toto je tu len pre to aby sa mi obrazok zmestil na obrazovku\n",
    "style = \"<style>svg{width:50% !important;height:50% !important;}</style>\"\n",
    "HTML(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Obrázok: dectree1.png](./dectree1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Následne vytvorený strom sme spustili na testovacích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_valid.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_valid['class']\n",
    "\n",
    "predicted_valid = clf.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.95      0.96       965\n",
      "         1.0       0.87      0.95      0.90       346\n",
      "\n",
      "    accuracy                           0.95      1311\n",
      "   macro avg       0.92      0.95      0.93      1311\n",
      "weighted avg       0.95      0.95      0.95      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9473684210526315\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Správnosť stromu na testovacích dátach je 94.7%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest\n",
    "\n",
    "Na otestovanie viacerých možností sme využili aj RandomForestClassifier zo scikir-learn. Pri tomto klasifikátore sme zvolili maximálnu hĺbku 3 a random_state 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_train.drop(columns=['class', 'name', 'date_of_birth', 'education'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy_v = data_valid.drop(columns=['class', 'name', 'date_of_birth', 'education'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "forest = RandomForestClassifier(random_state=1,max_depth=3)\n",
    "model = forest.fit(data_copy, data_train['class'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spustenie RandomForestClassifier na testovacích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_valid = model.predict(data_copy_v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.99      0.97       965\n",
      "         1.0       0.96      0.86      0.91       346\n",
      "\n",
      "    accuracy                           0.95      1311\n",
      "   macro avg       0.95      0.92      0.94      1311\n",
      "weighted avg       0.95      0.95      0.95      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], y_pred_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9527078565980168\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], y_pred_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Správnosť na testovacích dátach má hodnotu približne 95.3%. Zobrazili sme aj Confusion Matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], y_pred_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Porovnanie našich klasifikátorov a stromových klasifikátorov\n",
    "\n",
    "Nami vytvorený klasifikátor, ktorý využíva len jeden atribút má správnosť na testovacích dátach odnotu 0.9511823035850496.\n",
    "\n",
    "Klasifikátor, ktorý využíva 5 atribútov na testovacích dátach preukázal správnosť 0.950419527078566. \n",
    "\n",
    "DecisionTreeClssifier zo scikit-learn má správnosť na testovacích dátach 0.9473684210526315.\n",
    "\n",
    "RandomForestClassifier má správnosť 0.9527078565980168.\n",
    "\n",
    "Na základe týchto hodnôt vieme povedať, že správnosť je približne na všetkých klasifikátoroch rovnaká a rozdiel nie je veľmi veľký. Najväčší rozdiel je medzi DecisionTreeClasifier a RandomForestClassifier a ten rozdiel je 0.5%. Ale v porovnaní s našími klasifikátormi rozdieli nie sú veľké.\n",
    "\n",
    "Zo 4 vymenovaných klasifikátorov sa avšak najlepšie ukazuje na testovacích dátach RandomForestClassifier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hyperparameter tuning\n",
    "\n",
    "Pre DecisionTreeClassfier vykonáme hyperparameter tuning. Kde využijeme GridSearchCV na testovanie viacerých parametrov pre strom.\n",
    "\n",
    "Vytvorili sme rozhodovací strom, kde sme strom natrénovali na trénovacích dátach a hneď vyhodnotili na testovacích avšak bez metrík. Tento vytvorený strom budeme následne rozoberať na základe viacerých parametrov."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "tcf = tree.DecisionTreeClassifier()\n",
    "model = tcf.fit(data_copy, data_train['class'])\n",
    "y_pred = model.predict(data_copy_v)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre DecisionTreeClassifier sme si zvolili 5 parametrov.\n",
    "Parametre:\n",
    "- **criterion** - funkcia na základe ktorej sa vypočítava kvalita rozdelenia, vybrali sme hodnoty gini a entropy\n",
    "- **max_depth** - predstavuje maximálnu hĺbku stromu, tieto hodnoty sme zvolili z rozsahu 1 až 15\n",
    "- **min_samples_split** - vyjadruje minimálny počet vzoriek na rozdelenie vrcholu, vybrali sme rozsah tiež 1 až 15\n",
    "- **min_samples_leaf** - vyjadruje minimálny počet vzoriek potrebných v listoch stromu, vybrali sme rozsah 1 až 10\n",
    "- **max_features** - vyjadruje maximálny počet atribútov (vlastností), pre ktoré bude zohľadňovať rozdelenie vnútorného vrcholu, vybrali sme rozsah 1 až 10 atribútov\n",
    "\n",
    "Následne sme spustili GridSearchCV s danými hyperparametrami a s 10 násobnou krížovou validáciou (cv=10)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 10 folds for each of 31752 candidates, totalling 317520 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  34 tasks      | elapsed:    2.1s\n",
      "[Parallel(n_jobs=-1)]: Done 1680 tasks      | elapsed:    5.1s\n",
      "[Parallel(n_jobs=-1)]: Done 5680 tasks      | elapsed:   11.7s\n",
      "[Parallel(n_jobs=-1)]: Done 11280 tasks      | elapsed:   21.5s\n",
      "[Parallel(n_jobs=-1)]: Done 18480 tasks      | elapsed:   33.7s\n",
      "[Parallel(n_jobs=-1)]: Done 27280 tasks      | elapsed:   50.7s\n",
      "[Parallel(n_jobs=-1)]: Done 37680 tasks      | elapsed:  1.3min\n",
      "[Parallel(n_jobs=-1)]: Done 49680 tasks      | elapsed:  1.7min\n",
      "[Parallel(n_jobs=-1)]: Done 63280 tasks      | elapsed:  2.2min\n",
      "[Parallel(n_jobs=-1)]: Done 78480 tasks      | elapsed:  2.8min\n",
      "[Parallel(n_jobs=-1)]: Done 95280 tasks      | elapsed:  3.5min\n",
      "[Parallel(n_jobs=-1)]: Done 113680 tasks      | elapsed:  4.3min\n",
      "[Parallel(n_jobs=-1)]: Done 133680 tasks      | elapsed:  5.1min\n",
      "[Parallel(n_jobs=-1)]: Done 155280 tasks      | elapsed:  6.1min\n",
      "[Parallel(n_jobs=-1)]: Done 178480 tasks      | elapsed:  6.8min\n",
      "[Parallel(n_jobs=-1)]: Done 203280 tasks      | elapsed:  7.8min\n",
      "[Parallel(n_jobs=-1)]: Done 229680 tasks      | elapsed:  9.0min\n",
      "[Parallel(n_jobs=-1)]: Done 257680 tasks      | elapsed: 10.3min\n",
      "[Parallel(n_jobs=-1)]: Done 287280 tasks      | elapsed: 11.8min\n",
      "[Parallel(n_jobs=-1)]: Done 317520 out of 317520 | elapsed: 13.4min finished\n"
     ]
    }
   ],
   "source": [
    "criterion = ['gini', 'entropy']\n",
    "max_depth = range(1,15)\n",
    "min_samples_split = range(1,15)\n",
    "min_samples_leaf = range(1,10) \n",
    "max_features = range(1,10)\n",
    "\n",
    "hyper = dict(criterion = criterion,\n",
    "             max_depth = max_depth,  \n",
    "             min_samples_split = min_samples_split, \n",
    "             min_samples_leaf = min_samples_leaf,\n",
    "             max_features = max_features\n",
    "            )\n",
    "gs = GridSearchCV(tcf, param_grid=hyper, cv=10, verbose=1, n_jobs=-1)\n",
    "\n",
    "best = gs.fit(data_copy, data_train['class'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Po vykonaní GridSearchCV sme vypísali klasifikátor spolu s najlepšími paramterami. Tento klasifikátor sme následne spustili aj na testovacích dátach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(max_depth=6, max_features=8, min_samples_split=8)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_estimator_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ako najlepšie parametre nám vyšli:\n",
    "- **max_depth** s hodnotou 6,\n",
    "- **max_features** s hodnotou 8,\n",
    "- **min_samples_split** s hodnotou 8."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = tree.DecisionTreeClassifier(max_depth=6, max_features=8, min_samples_split=8)\n",
    "clf = clf.fit(data_copy, data_train['class'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Následne sme zobrazili grafický vizuál rozhodovacieho stromu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
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       "<text text-anchor=\"middle\" x=\"469\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [6, 2]</text>\n",
       "<text text-anchor=\"middle\" x=\"469\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
       "</g>\n",
       "<!-- 8&#45;&gt;10 -->\n",
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       "<title>8-&gt;10</title>\n",
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       "<title>11</title>\n",
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       "<text text-anchor=\"middle\" x=\"381\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"381\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 2</text>\n",
       "<text text-anchor=\"middle\" x=\"381\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 2]</text>\n",
       "<text text-anchor=\"middle\" x=\"381\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 10&#45;&gt;11 -->\n",
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       "<title>10-&gt;11</title>\n",
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       "<title>12</title>\n",
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       "<text text-anchor=\"middle\" x=\"490\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"490\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
       "<text text-anchor=\"middle\" x=\"490\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [6, 0]</text>\n",
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       "<!-- 10&#45;&gt;12 -->\n",
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       "<title>10-&gt;12</title>\n",
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       "<title>14</title>\n",
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       "<text text-anchor=\"middle\" x=\"688\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 45.5</text>\n",
       "<text text-anchor=\"middle\" x=\"688\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.469</text>\n",
       "<text text-anchor=\"middle\" x=\"688\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 8</text>\n",
       "<text text-anchor=\"middle\" x=\"688\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 5]</text>\n",
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       "<!-- 13&#45;&gt;14 -->\n",
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       "<title>13-&gt;14</title>\n",
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       "<title>17</title>\n",
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       "<text text-anchor=\"middle\" x=\"821\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.646</text>\n",
       "<text text-anchor=\"middle\" x=\"821\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.028</text>\n",
       "<text text-anchor=\"middle\" x=\"821\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 775</text>\n",
       "<text text-anchor=\"middle\" x=\"821\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [11, 764]</text>\n",
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       "<text text-anchor=\"middle\" x=\"591\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"591\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"591\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<!-- 14&#45;&gt;15 -->\n",
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       "<title>14-&gt;15</title>\n",
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       "<title>16</title>\n",
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       "<text text-anchor=\"middle\" x=\"700\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"700\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"700\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 5]</text>\n",
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       "<!-- 14&#45;&gt;16 -->\n",
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       "<title>14-&gt;16</title>\n",
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       "<title>18</title>\n",
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       "<text text-anchor=\"middle\" x=\"809\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 50.5</text>\n",
       "<text text-anchor=\"middle\" x=\"809\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.426</text>\n",
       "<text text-anchor=\"middle\" x=\"809\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 13</text>\n",
       "<text text-anchor=\"middle\" x=\"809\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 9]</text>\n",
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       "<!-- 17&#45;&gt;18 -->\n",
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       "<title>17-&gt;18</title>\n",
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       "<title>23</title>\n",
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       "<text text-anchor=\"middle\" x=\"960\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.209</text>\n",
       "<text text-anchor=\"middle\" x=\"960\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.018</text>\n",
       "<text text-anchor=\"middle\" x=\"960\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 762</text>\n",
       "<text text-anchor=\"middle\" x=\"960\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [7, 755]</text>\n",
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       "<!-- 17&#45;&gt;23 -->\n",
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       "<title>19</title>\n",
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       "<text text-anchor=\"middle\" x=\"621\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"621\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"621\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<!-- 18&#45;&gt;19 -->\n",
       "<g id=\"edge19\" class=\"edge\">\n",
       "<title>18-&gt;19</title>\n",
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       "<title>20</title>\n",
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       "<text text-anchor=\"middle\" x=\"774\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= -0.385</text>\n",
       "<text text-anchor=\"middle\" x=\"774\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.18</text>\n",
       "<text text-anchor=\"middle\" x=\"774\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 10</text>\n",
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       "<!-- 18&#45;&gt;20 -->\n",
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       "<title>18-&gt;20</title>\n",
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       "<text text-anchor=\"middle\" x=\"665\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"665\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<!-- 20&#45;&gt;21 -->\n",
       "<g id=\"edge21\" class=\"edge\">\n",
       "<title>20-&gt;21</title>\n",
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       "<text text-anchor=\"middle\" x=\"774\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"774\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 9</text>\n",
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       "<!-- 20&#45;&gt;22 -->\n",
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       "<title>20-&gt;22</title>\n",
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       "<text text-anchor=\"middle\" x=\"960\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_oxygen &lt;= 31.5</text>\n",
       "<text text-anchor=\"middle\" x=\"960\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.008</text>\n",
       "<text text-anchor=\"middle\" x=\"960\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 716</text>\n",
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       "<title>23-&gt;24</title>\n",
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       "<text text-anchor=\"middle\" x=\"1126\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 1.506</text>\n",
       "<text text-anchor=\"middle\" x=\"1126\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.159</text>\n",
       "<text text-anchor=\"middle\" x=\"1126\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 46</text>\n",
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       "<title>23-&gt;27</title>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<title>24-&gt;25</title>\n",
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       "<title>26</title>\n",
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       "<text text-anchor=\"middle\" x=\"999\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.006</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 713</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 711]</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 24&#45;&gt;26 -->\n",
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       "<title>24-&gt;26</title>\n",
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       "<title>28</title>\n",
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       "<text text-anchor=\"middle\" x=\"1118\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.127</text>\n",
       "<text text-anchor=\"middle\" x=\"1118\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 44</text>\n",
       "<text text-anchor=\"middle\" x=\"1118\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 41]</text>\n",
       "<text text-anchor=\"middle\" x=\"1118\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 27&#45;&gt;28 -->\n",
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       "<title>27-&gt;28</title>\n",
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       "<text text-anchor=\"middle\" x=\"1231\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 2</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 1]</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 27&#45;&gt;29 -->\n",
       "<g id=\"edge29\" class=\"edge\">\n",
       "<title>27-&gt;29</title>\n",
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       "<title>31</title>\n",
       "<polygon fill=\"#e68742\" stroke=\"black\" points=\"2333.5,-544 2158.5,-544 2158.5,-461 2333.5,-461 2333.5,-544\"/>\n",
       "<text text-anchor=\"middle\" x=\"2246\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.672</text>\n",
       "<text text-anchor=\"middle\" x=\"2246\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.085</text>\n",
       "<text text-anchor=\"middle\" x=\"2246\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 2969</text>\n",
       "<text text-anchor=\"middle\" x=\"2246\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2837, 132]</text>\n",
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       "<!-- 30&#45;&gt;31 -->\n",
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       "<title>30-&gt;31</title>\n",
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       "<title>60</title>\n",
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       "<text text-anchor=\"middle\" x=\"2779\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_glucose &lt;= -0.425</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.226</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 108</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [14, 94]</text>\n",
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       "<!-- 30&#45;&gt;60 -->\n",
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       "<title>30-&gt;60</title>\n",
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       "<title>32</title>\n",
       "<polygon fill=\"#e68540\" stroke=\"black\" points=\"2096.5,-425 1917.5,-425 1917.5,-342 2096.5,-342 2096.5,-425\"/>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= -0.516</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.062</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 2602</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2519, 83]</text>\n",
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       "<!-- 31&#45;&gt;32 -->\n",
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       "<title>31-&gt;32</title>\n",
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       "<title>47</title>\n",
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       "<text text-anchor=\"middle\" x=\"2417\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">town &lt;= 0.396</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.231</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 367</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [318, 49]</text>\n",
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       "<!-- 31&#45;&gt;47 -->\n",
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       "<title>31-&gt;47</title>\n",
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       "<title>33</title>\n",
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       "<text text-anchor=\"middle\" x=\"1655\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_oxygen &lt;= 30.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.03</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1383</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1362, 21]</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 32&#45;&gt;33 -->\n",
       "<g id=\"edge33\" class=\"edge\">\n",
       "<title>32-&gt;33</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1917.26,-352.67C1865.4,-335.43 1800.25,-313.78 1747.86,-296.36\"/>\n",
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       "<text text-anchor=\"middle\" x=\"2007\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= -0.029</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.097</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1219</text>\n",
       "<text text-anchor=\"middle\" x=\"2007\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1157, 62]</text>\n",
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       "<title>32-&gt;40</title>\n",
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       "<title>34</title>\n",
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       "<text text-anchor=\"middle\" x=\"1449\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_oxygen &lt;= 27.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1449\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.219</text>\n",
       "<text text-anchor=\"middle\" x=\"1449\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 8</text>\n",
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       "<!-- 33&#45;&gt;34 -->\n",
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       "<title>33-&gt;34</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1583.53,-222.91C1565.95,-212.92 1547.02,-202.17 1529.07,-191.98\"/>\n",
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       "<title>37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1655\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_oxygen &lt;= 10.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.029</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1375</text>\n",
       "<text text-anchor=\"middle\" x=\"1655\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1355, 20]</text>\n",
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       "<title>33-&gt;37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1340\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1340\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
       "<text text-anchor=\"middle\" x=\"1340\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [7, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1340\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 34&#45;&gt;35 -->\n",
       "<g id=\"edge35\" class=\"edge\">\n",
       "<title>34-&gt;35</title>\n",
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       "<text text-anchor=\"middle\" x=\"1449\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1449\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<title>34-&gt;36</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1449,-103.73C1449,-95.52 1449,-86.86 1449,-78.56\"/>\n",
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       "<text text-anchor=\"middle\" x=\"1558\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"1558\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
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       "<title>37-&gt;38</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1618.88,-103.73C1610.8,-94.61 1602.23,-84.93 1594.15,-75.81\"/>\n",
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       "<text text-anchor=\"middle\" x=\"1681\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1370</text>\n",
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       "<title>37-&gt;39</title>\n",
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       "<title>44</title>\n",
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       "<text text-anchor=\"middle\" x=\"2083\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 69.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2083\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.195</text>\n",
       "<text text-anchor=\"middle\" x=\"2083\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 328</text>\n",
       "<text text-anchor=\"middle\" x=\"2083\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [292, 36]</text>\n",
       "<text text-anchor=\"middle\" x=\"2083\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 40&#45;&gt;44 -->\n",
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       "<text text-anchor=\"middle\" x=\"1814\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.029</text>\n",
       "<text text-anchor=\"middle\" x=\"1814\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 745</text>\n",
       "<text text-anchor=\"middle\" x=\"1814\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [734, 11]</text>\n",
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       "<!-- 41&#45;&gt;42 -->\n",
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       "<text text-anchor=\"middle\" x=\"1943\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.184</text>\n",
       "<text text-anchor=\"middle\" x=\"1943\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 146</text>\n",
       "<text text-anchor=\"middle\" x=\"1943\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [131, 15]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2072\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.147</text>\n",
       "<text text-anchor=\"middle\" x=\"2072\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 312</text>\n",
       "<text text-anchor=\"middle\" x=\"2072\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [287, 25]</text>\n",
       "<text text-anchor=\"middle\" x=\"2072\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2195\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.43</text>\n",
       "<text text-anchor=\"middle\" x=\"2195\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
       "<text text-anchor=\"middle\" x=\"2195\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [5, 11]</text>\n",
       "<text text-anchor=\"middle\" x=\"2195\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>48</title>\n",
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       "<text text-anchor=\"middle\" x=\"2417\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 57.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.441</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 134</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [90, 44]</text>\n",
       "<text text-anchor=\"middle\" x=\"2417\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 47&#45;&gt;48 -->\n",
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       "<title>47-&gt;48</title>\n",
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       "<title>55</title>\n",
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       "<text text-anchor=\"middle\" x=\"2588\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 0.058</text>\n",
       "<text text-anchor=\"middle\" x=\"2588\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.042</text>\n",
       "<text text-anchor=\"middle\" x=\"2588\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 233</text>\n",
       "<text text-anchor=\"middle\" x=\"2588\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [228, 5]</text>\n",
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       "<title>49</title>\n",
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       "<text text-anchor=\"middle\" x=\"2405\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 0.259</text>\n",
       "<text text-anchor=\"middle\" x=\"2405\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.351</text>\n",
       "<text text-anchor=\"middle\" x=\"2405\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 88</text>\n",
       "<text text-anchor=\"middle\" x=\"2405\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [68, 20]</text>\n",
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       "<title>48-&gt;49</title>\n",
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       "<title>52</title>\n",
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       "<text text-anchor=\"middle\" x=\"2555\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= 0.004</text>\n",
       "<text text-anchor=\"middle\" x=\"2555\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.499</text>\n",
       "<text text-anchor=\"middle\" x=\"2555\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 46</text>\n",
       "<text text-anchor=\"middle\" x=\"2555\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [22, 24]</text>\n",
       "<text text-anchor=\"middle\" x=\"2555\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 48&#45;&gt;52 -->\n",
       "<g id=\"edge52\" class=\"edge\">\n",
       "<title>48-&gt;52</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2464.88,-222.91C2476.01,-213.47 2487.95,-203.34 2499.39,-193.65\"/>\n",
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       "<text text-anchor=\"middle\" x=\"2314\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 70</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [60, 10]</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 49&#45;&gt;50 -->\n",
       "<g id=\"edge50\" class=\"edge\">\n",
       "<title>49-&gt;50</title>\n",
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       "<title>51</title>\n",
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       "<text text-anchor=\"middle\" x=\"2433\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.494</text>\n",
       "<text text-anchor=\"middle\" x=\"2433\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 18</text>\n",
       "<text text-anchor=\"middle\" x=\"2433\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [8, 10]</text>\n",
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       "<title>49-&gt;51</title>\n",
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       "<title>53</title>\n",
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       "<text text-anchor=\"middle\" x=\"2549\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.463</text>\n",
       "<text text-anchor=\"middle\" x=\"2549\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 22</text>\n",
       "<text text-anchor=\"middle\" x=\"2549\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [14, 8]</text>\n",
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       "<title>54</title>\n",
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       "<text text-anchor=\"middle\" x=\"2665\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.444</text>\n",
       "<text text-anchor=\"middle\" x=\"2665\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 24</text>\n",
       "<text text-anchor=\"middle\" x=\"2665\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [8, 16]</text>\n",
       "<text text-anchor=\"middle\" x=\"2665\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>56</title>\n",
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       "<text text-anchor=\"middle\" x=\"2761\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">occupation &lt;= 6.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2761\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.034</text>\n",
       "<text text-anchor=\"middle\" x=\"2761\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 231</text>\n",
       "<text text-anchor=\"middle\" x=\"2761\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [227, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"2761\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<g id=\"edge56\" class=\"edge\">\n",
       "<title>55-&gt;56</title>\n",
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       "<text text-anchor=\"middle\" x=\"2885\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2885\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 2</text>\n",
       "<text text-anchor=\"middle\" x=\"2885\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 1]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2784\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.026</text>\n",
       "<text text-anchor=\"middle\" x=\"2784\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 226</text>\n",
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       "<title>56-&gt;57</title>\n",
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       "<title>58</title>\n",
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       "<text text-anchor=\"middle\" x=\"2900\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"2900\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"2900\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 1]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2779\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 60.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.463</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 11</text>\n",
       "<text text-anchor=\"middle\" x=\"2779\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [7, 4]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2945\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 27.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.134</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 97</text>\n",
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       "<text text-anchor=\"middle\" x=\"2727\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2727\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
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       "<text text-anchor=\"middle\" x=\"2836\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2836\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"2836\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"2836\" y=\"-238.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2945\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
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       "<text text-anchor=\"middle\" x=\"3075\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.59</text>\n",
       "<text text-anchor=\"middle\" x=\"3075\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.117</text>\n",
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       "<text text-anchor=\"middle\" x=\"3059\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">occupation &lt;= 1.0</text>\n",
       "<text text-anchor=\"middle\" x=\"3059\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.272</text>\n",
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      "text/plain": [
       "<IPython.core.display.SVG object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<style>svg{width:50% !important;height:50% !important;}</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# generovanie grafu pre obrázok\n",
    "export_graphviz(clf, out_file='dectree2.dot', feature_names=columns, class_names=['0.0', '1.0'], filled = True)\n",
    "\n",
    "graph = Source(export_graphviz(clf, \n",
    "                               out_file=None,\n",
    "                               feature_names=columns,\n",
    "                               class_names=['0.0', '1.0'],\n",
    "                               filled = True))\n",
    "\n",
    "display(SVG(graph.pipe(format='svg')))\n",
    "\n",
    "from IPython.display import HTML # toto je tu len pre to aby sa mi obrazok zmestil na obrazovku\n",
    "style = \"<style>svg{width:50% !important;height:50% !important;}</style>\"\n",
    "HTML(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Obrázok: dectree2.png](./dectree2.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_valid = clf.predict(data_copy_v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.98      0.97       965\n",
      "         1.0       0.93      0.91      0.92       346\n",
      "\n",
      "    accuracy                           0.96      1311\n",
      "   macro avg       0.95      0.94      0.94      1311\n",
      "weighted avg       0.96      0.96      0.96      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9572845156369184\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Správnosť rozhodovacieho stromu na testovacích dátach je 95,7%. Zobrazili sme aj Confusion Matrix, kde vieme nájsť koľko hodnôt bolo predikovaných správne a koľko ich bolo predikovaných nesprávne pre jednotlivé kategórie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vyhodnotenie vplyvu zvolenej stratégie nahrádzania chýbajúcich hodnôt na správnosť klasifikácie\n",
    "\n",
    "Na to, aby sme zistili, či iný spôsob nahrádzanie chýbajúcich hodnôt má vplyv na správnosť klasifikácie je potrebné otestovať aj iné spôsoby nahrádzania hodnôt.\n",
    "\n",
    "### Nahradenie chýbajúcich hodnôt pre číslené atribúty pomocou priemeru\n",
    "\n",
    "Ako prvé sme si zvolili spôsob, že všetky číslené atribúty sme nahradili priemernými hodnotami daného atribútu.\n",
    "\n",
    "Načítali sme opäť datasety, nad ktorými sme spustili pipeliny."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "personal_train = pd.read_csv('personal_train.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "other_train = pd.read_csv('other_train.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "personal_valid = pd.read_csv('personal_valid.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "other_valid = pd.read_csv('other_valid.csv', index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_train, other_train, ['name', 'address']))])\n",
    "\n",
    "data_train = pd.DataFrame()\n",
    "data_train = merge.transform(data_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chýbajúce hodnoty pre číslené atribúty sme nahradili priemerom."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "most_frequent_missing = ['education-num','race', 'marital-status', 'occupation', 'relationship', 'native-country', 'workclass', 'capital-gain', 'capital-loss']\n",
    "\n",
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "encode = ['sex', 'race', 'marital-status', 'occupation', 'relationship', 'income', 'native-country', 'workclass', 'town', 'psc', 'street']\n",
    "\n",
    "outliers = ['fnlwgt', 'mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose', 'mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen']\n",
    "\n",
    "pip = Pipeline([('split_medical', SplittingMedicalTransformer()),\n",
    "               ('deduplication', DeduplicationTransformer(['name','address'])),\n",
    "               ('strip', StripTransformer(['sex', 'race', 'marital-status', 'occupation', 'relationship', 'education', 'income', 'native-country', 'workclass'])),\n",
    "               ('nan_unification', UnificationToNanTransformer()),\n",
    "               ('date_unification', DateUnificationTransformer()),\n",
    "               ('address_unification', AddressUnificationTransformer()),\n",
    "               ('age_unification', AgeUnificationTransformer()),\n",
    "               ('pregnant_unification', PregnantUnificationTransformer()),\n",
    "               ('workclass_unification', WorkclassUnificationTransformer()),\n",
    "               ('relationship_unification', RelationshipUnificationTransformer()),\n",
    "               ('age_to_nan', AgeToNanTransformer()),\n",
    "               ('most_frequent_missing', MostFrequentTransformer(most_frequent_missing)),\n",
    "               ('class_remove', ClassRemovalTransformer()),\n",
    "               ('hours-per-week', MeanTransformer(['hours-per-week'])),\n",
    "               ('glucose', MeanTransformer(glucose)),\n",
    "               ('oxygen_age', MeanTransformer(oxygen_age)),\n",
    "               ('power_transform',PowerTransformTransformer(outliers)),\n",
    "               ('outliers', OutliersTransformer(outliers)),\n",
    "               ('encode', LabelEncoderTransformer(encode))])\n",
    "\n",
    "pip.fit(data_train)\n",
    "data_train = pip.transform(data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_valid, other_valid, ['name', 'address']))])\n",
    "\n",
    "data_valid = pd.DataFrame()\n",
    "data_valid = merge.transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 2\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "data_valid = pip.transform(data_valid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Testovanie DecisionTree\n",
    "\n",
    "Nami zadefinovaný rozhodovací strom s maximálnou hĺbkou 6, sme otestovali na dátach, kde chýbajúce hodnoty boli nahradené iným spôsobom. Konkrétne nahradenie priemerom pre číselné atribúty."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_train.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_train['class']\n",
    "\n",
    "clf = tree.DecisionTreeClassifier(max_depth = 6)\n",
    "clf = clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dali sme zobraziť aj grafické reprezentáciu rozhodovacieho stromu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
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       "<title>4</title>\n",
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       "<text text-anchor=\"middle\" x=\"333\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= -1.159</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.006</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1275</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1271, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"538\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= -0.449</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.043</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 827</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [809, 18]</text>\n",
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       "<title>5</title>\n",
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       "<text text-anchor=\"middle\" x=\"168\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= -1.159</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.022</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 264</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [261, 3]</text>\n",
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       "<title>8</title>\n",
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       "<text text-anchor=\"middle\" x=\"333\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">street &lt;= 1.5</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.002</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1011</text>\n",
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       "<!-- 4&#45;&gt;8 -->\n",
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       "<title>4-&gt;8</title>\n",
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       "<title>6</title>\n",
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       "<text text-anchor=\"middle\" x=\"52\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.015</text>\n",
       "<text text-anchor=\"middle\" x=\"52\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 263</text>\n",
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       "<!-- 5&#45;&gt;6 -->\n",
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       "<text text-anchor=\"middle\" x=\"168\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<title>5-&gt;7</title>\n",
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       "<title>9</title>\n",
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       "<text text-anchor=\"middle\" x=\"281\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.044</text>\n",
       "<text text-anchor=\"middle\" x=\"281\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 44</text>\n",
       "<text text-anchor=\"middle\" x=\"281\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [43, 1]</text>\n",
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       "<!-- 8&#45;&gt;9 -->\n",
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       "<title>10</title>\n",
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       "<text text-anchor=\"middle\" x=\"400\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"400\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 967</text>\n",
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       "<!-- 8&#45;&gt;10 -->\n",
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       "<title>8-&gt;10</title>\n",
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       "<title>12</title>\n",
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       "<text text-anchor=\"middle\" x=\"491\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"491\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"491\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<!-- 11&#45;&gt;12 -->\n",
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       "<title>11-&gt;12</title>\n",
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       "<title>13</title>\n",
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       "<text text-anchor=\"middle\" x=\"616\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">relationship &lt;= 3.5</text>\n",
       "<text text-anchor=\"middle\" x=\"616\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.04</text>\n",
       "<text text-anchor=\"middle\" x=\"616\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 826</text>\n",
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       "<!-- 11&#45;&gt;13 -->\n",
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       "<title>14</title>\n",
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       "<text text-anchor=\"middle\" x=\"516\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"516\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 9</text>\n",
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       "<!-- 13&#45;&gt;14 -->\n",
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       "<title>13-&gt;14</title>\n",
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       "<text text-anchor=\"middle\" x=\"635\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 817</text>\n",
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       "<!-- 13&#45;&gt;15 -->\n",
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       "<title>13-&gt;15</title>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 0.379</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.45</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 170</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [112, 58]</text>\n",
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       "<!-- 16&#45;&gt;17 -->\n",
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       "<title>16-&gt;17</title>\n",
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       "<text text-anchor=\"middle\" x=\"1261\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 71.5</text>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_oxygen &lt;= 2684.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 1068.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"761\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 124</text>\n",
       "<text text-anchor=\"middle\" x=\"761\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [97, 27]</text>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.488</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 26</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [11, 15]</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>18-&gt;20</title>\n",
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       "<text text-anchor=\"middle\" x=\"999\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.375</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 1]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1112\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.117</text>\n",
       "<text text-anchor=\"middle\" x=\"1112\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
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       "<title>25</title>\n",
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       "<text text-anchor=\"middle\" x=\"1261\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 47.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1261\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
       "<text text-anchor=\"middle\" x=\"1261\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 734</text>\n",
       "<text text-anchor=\"middle\" x=\"1261\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [693, 41]</text>\n",
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       "<title>24-&gt;25</title>\n",
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       "<text text-anchor=\"middle\" x=\"1463\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_glucose &lt;= -0.644</text>\n",
       "<text text-anchor=\"middle\" x=\"1463\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.278</text>\n",
       "<text text-anchor=\"middle\" x=\"1463\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
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       "<text text-anchor=\"middle\" x=\"1231\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.014</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 290</text>\n",
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       "<text text-anchor=\"middle\" x=\"1357\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.16</text>\n",
       "<text text-anchor=\"middle\" x=\"1357\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 444</text>\n",
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       "<text text-anchor=\"middle\" x=\"1476\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1476\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<text text-anchor=\"middle\" x=\"1585\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1585\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
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       "<text text-anchor=\"middle\" x=\"1344\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1344\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<text text-anchor=\"middle\" x=\"1457\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1457\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 11</text>\n",
       "<text text-anchor=\"middle\" x=\"1457\" y=\"-372.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 11]</text>\n",
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       "<title>31-&gt;33</title>\n",
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       "<text text-anchor=\"middle\" x=\"1796\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.559</text>\n",
       "<text text-anchor=\"middle\" x=\"1796\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.493</text>\n",
       "<text text-anchor=\"middle\" x=\"1796\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 50</text>\n",
       "<text text-anchor=\"middle\" x=\"1796\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [22, 28]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2258\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.78</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.039</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 856</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-483.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [17, 839]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1718\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 56.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1718\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1718\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 28</text>\n",
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       "<title>35-&gt;36</title>\n",
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       "<text text-anchor=\"middle\" x=\"1873\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.473</text>\n",
       "<text text-anchor=\"middle\" x=\"1873\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.298</text>\n",
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       "<title>37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1612\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= -0.374</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.48</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 10</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>36-&gt;37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1737\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1737\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 18</text>\n",
       "<text text-anchor=\"middle\" x=\"1737\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 18]</text>\n",
       "<text text-anchor=\"middle\" x=\"1737\" y=\"-238.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>36-&gt;42</title>\n",
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       "<text text-anchor=\"middle\" x=\"1612\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"1612\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
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       "<!-- 37&#45;&gt;38 -->\n",
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       "<title>37-&gt;38</title>\n",
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       "<title>39</title>\n",
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       "<text text-anchor=\"middle\" x=\"1732\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= 0.776</text>\n",
       "<text text-anchor=\"middle\" x=\"1732\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1732\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
       "<text text-anchor=\"middle\" x=\"1732\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 6]</text>\n",
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       "<title>40</title>\n",
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       "<text text-anchor=\"middle\" x=\"1719\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1719\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
       "<text text-anchor=\"middle\" x=\"1719\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1719\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1828\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1828\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"1828\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1828\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 39&#45;&gt;41 -->\n",
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       "<title>44</title>\n",
       "<polygon fill=\"#e58139\" stroke=\"black\" points=\"1902,-298.5 1804,-298.5 1804,-230.5 1902,-230.5 1902,-298.5\"/>\n",
       "<text text-anchor=\"middle\" x=\"1853\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1853\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 17</text>\n",
       "<text text-anchor=\"middle\" x=\"1853\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [17, 0]</text>\n",
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       "<!-- 43&#45;&gt;44 -->\n",
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       "<title>43-&gt;44</title>\n",
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       "<title>45</title>\n",
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       "<text text-anchor=\"middle\" x=\"1976\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= 1.082</text>\n",
       "<text text-anchor=\"middle\" x=\"1976\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"1976\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"1976\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 4]</text>\n",
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       "<title>43-&gt;45</title>\n",
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       "<title>46</title>\n",
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       "<text text-anchor=\"middle\" x=\"1867\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1867\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"1867\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 4]</text>\n",
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       "<!-- 45&#45;&gt;46 -->\n",
       "<g id=\"edge46\" class=\"edge\">\n",
       "<title>45-&gt;46</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1938.18,-222.91C1927.39,-211.32 1915.63,-198.7 1904.83,-187.11\"/>\n",
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       "<title>47</title>\n",
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       "<text text-anchor=\"middle\" x=\"1976\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1976\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<!-- 45&#45;&gt;47 -->\n",
       "<g id=\"edge47\" class=\"edge\">\n",
       "<title>45-&gt;47</title>\n",
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       "<title>49</title>\n",
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       "<text text-anchor=\"middle\" x=\"2258\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_glucose &lt;= -0.423</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.022</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 820</text>\n",
       "<text text-anchor=\"middle\" x=\"2258\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [9, 811]</text>\n",
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       "<!-- 48&#45;&gt;49 -->\n",
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       "<title>48-&gt;49</title>\n",
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       "<text text-anchor=\"middle\" x=\"2602\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.636</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [8, 28]</text>\n",
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       "<!-- 48&#45;&gt;60 -->\n",
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       "<title>50</title>\n",
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       "<text text-anchor=\"middle\" x=\"2185\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_oxygen &lt;= 0.474</text>\n",
       "<text text-anchor=\"middle\" x=\"2185\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.266</text>\n",
       "<text text-anchor=\"middle\" x=\"2185\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 19</text>\n",
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       "<title>49-&gt;50</title>\n",
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       "<title>53</title>\n",
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       "<text text-anchor=\"middle\" x=\"2330\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3793.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2330\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.015</text>\n",
       "<text text-anchor=\"middle\" x=\"2330\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 801</text>\n",
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       "<title>49-&gt;53</title>\n",
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       "<text text-anchor=\"middle\" x=\"2085\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2085\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<text text-anchor=\"middle\" x=\"2198\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
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       "<title>50-&gt;52</title>\n",
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       "<title>54</title>\n",
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       "<text text-anchor=\"middle\" x=\"2317\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.209</text>\n",
       "<text text-anchor=\"middle\" x=\"2317\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.01</text>\n",
       "<text text-anchor=\"middle\" x=\"2317\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 765</text>\n",
       "<text text-anchor=\"middle\" x=\"2317\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 761]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2436\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3796.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2436\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
       "<text text-anchor=\"middle\" x=\"2436\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2436\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 34]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2199\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.005</text>\n",
       "<text text-anchor=\"middle\" x=\"2199\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 726</text>\n",
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       "<text text-anchor=\"middle\" x=\"2318\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.097</text>\n",
       "<text text-anchor=\"middle\" x=\"2318\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 39</text>\n",
       "<text text-anchor=\"middle\" x=\"2318\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 37]</text>\n",
       "<text text-anchor=\"middle\" x=\"2318\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2434\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2434\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2434\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
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       "<polygon fill=\"#3fa0e6\" stroke=\"black\" points=\"2596,-68 2498,-68 2498,0 2596,0 2596,-68\"/>\n",
       "<text text-anchor=\"middle\" x=\"2547\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.056</text>\n",
       "<text text-anchor=\"middle\" x=\"2547\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 35</text>\n",
       "<text text-anchor=\"middle\" x=\"2547\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 34]</text>\n",
       "<text text-anchor=\"middle\" x=\"2547\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2602\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.842</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 1]</text>\n",
       "<text text-anchor=\"middle\" x=\"2602\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<title>64</title>\n",
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       "<text text-anchor=\"middle\" x=\"2792\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 49.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.225</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 31</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 27]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2549\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2549\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"2549\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"2549\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 61&#45;&gt;62 -->\n",
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       "<title>61-&gt;62</title>\n",
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       "<title>63</title>\n",
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       "<text text-anchor=\"middle\" x=\"2658\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2658\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2658\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
       "<text text-anchor=\"middle\" x=\"2658\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
       "</g>\n",
       "<!-- 61&#45;&gt;63 -->\n",
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       "<title>61-&gt;63</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2621.43,-222.91C2626.71,-211.87 2632.44,-199.9 2637.77,-188.77\"/>\n",
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       "<!-- 65 -->\n",
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       "<title>65</title>\n",
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       "<text text-anchor=\"middle\" x=\"2792\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_oxygen &lt;= -1.678</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.49</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
       "<text text-anchor=\"middle\" x=\"2792\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 4]</text>\n",
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       "<!-- 64&#45;&gt;65 -->\n",
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       "<title>64-&gt;65</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2792,-222.91C2792,-214.65 2792,-205.86 2792,-197.3\"/>\n",
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       "<title>68</title>\n",
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       "<text text-anchor=\"middle\" x=\"2945\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">capital-loss &lt;= 27.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.08</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 24</text>\n",
       "<text text-anchor=\"middle\" x=\"2945\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 23]</text>\n",
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       "<!-- 64&#45;&gt;68 -->\n",
       "<g id=\"edge68\" class=\"edge\">\n",
       "<title>64-&gt;68</title>\n",
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       "<text text-anchor=\"middle\" x=\"2694\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.375</text>\n",
       "<text text-anchor=\"middle\" x=\"2694\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
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       "<text text-anchor=\"middle\" x=\"2803\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2803\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<text text-anchor=\"middle\" x=\"2934\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.444</text>\n",
       "<text text-anchor=\"middle\" x=\"2934\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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     "data": {
      "text/html": [
       "<style>svg{width:50% !important;height:50% !important;}</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "columns = ['sex', 'race', 'marital-status', 'occupation', 'pregnant', 'education-num', 'relationship', 'capital-gain', 'fnlwgt', 'income', 'native-country', 'hours-per-week', 'capital-loss', 'workclass', 'street', 'town', 'psc'] + glucose + oxygen_age\n",
    "\n",
    "# generovanie grafu pre obrázok\n",
    "export_graphviz(clf, out_file='dectree3.dot', feature_names=columns, class_names=['0.0', '1.0'], filled = True)\n",
    "\n",
    "graph = Source(export_graphviz(clf, \n",
    "                               out_file=None,\n",
    "                               feature_names=columns,\n",
    "                               class_names=['0.0', '1.0'],\n",
    "                               filled = True))\n",
    "\n",
    "display(SVG(graph.pipe(format='svg')))\n",
    "\n",
    "from IPython.display import HTML # toto je tu len pre to aby sa mi obrazok zmestil na obrazovku\n",
    "style = \"<style>svg{width:50% !important;height:50% !important;}</style>\"\n",
    "HTML(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Obrázok: dectree3.png](./dectree3.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_valid.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_valid['class']\n",
    "\n",
    "predicted_valid = clf.predict(X) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.95      0.96       965\n",
      "         1.0       0.87      0.95      0.91       346\n",
      "\n",
      "    accuracy                           0.95      1311\n",
      "   macro avg       0.93      0.95      0.94      1311\n",
      "weighted avg       0.95      0.95      0.95      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9488939740655988\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prvý spôsob: 0.9473684210526315\n",
    "\n",
    "Nahradenie cez priemer: 0.9488939740655988\n",
    "\n",
    "V tomto prípade vidíme zvýšenie približne len o 0.0015, respektíve o 0.15%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Nahradenie chýbajúcich hodnôt pre číslené atribúty cez K najbližších susedov\n",
    "\n",
    "Pre lepšie otestovanie sa pokúsime chýbajúce hodnoty číselných atribútov nahradiť priemerom K najbližších susedov."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_train, other_train, ['name', 'address']))])\n",
    "\n",
    "data_train = pd.DataFrame()\n",
    "data_train = merge.transform(data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 22\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 18\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 14\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 17\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 3932 , počet outlierov: 9\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 3932 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "most_frequent_missing = ['education-num','race', 'marital-status', 'occupation', 'relationship', 'native-country', 'workclass', 'capital-gain', 'capital-loss']\n",
    "\n",
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "encode = ['sex', 'race', 'marital-status', 'occupation', 'relationship', 'income', 'native-country', 'workclass', 'town', 'psc', 'street']\n",
    "\n",
    "outliers = ['fnlwgt', 'mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose', 'mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen']\n",
    "\n",
    "pip = Pipeline([('split_medical', SplittingMedicalTransformer()),\n",
    "               ('deduplication', DeduplicationTransformer(['name','address'])),\n",
    "               ('strip', StripTransformer(['sex', 'race', 'marital-status', 'occupation', 'relationship', 'education', 'income', 'native-country', 'workclass'])),\n",
    "               ('nan_unification', UnificationToNanTransformer()),\n",
    "               ('date_unification', DateUnificationTransformer()),\n",
    "               ('address_unification', AddressUnificationTransformer()),\n",
    "               ('age_unification', AgeUnificationTransformer()),\n",
    "               ('pregnant_unification', PregnantUnificationTransformer()),\n",
    "               ('workclass_unification', WorkclassUnificationTransformer()),\n",
    "               ('relationship_unification', RelationshipUnificationTransformer()),\n",
    "               ('age_to_nan', AgeToNanTransformer()),\n",
    "               ('most_frequent_missing', MostFrequentTransformer(most_frequent_missing)),\n",
    "               ('class_remove', ClassRemovalTransformer()),\n",
    "               ('hours-per-week', KNNTransformer(['hours-per-week'])),\n",
    "               ('glucose', KNNTransformer(glucose)),\n",
    "               ('oxygen_age', KNNTransformer(oxygen_age)),\n",
    "               ('power_transform',PowerTransformTransformer(outliers)),\n",
    "               ('outliers', OutliersTransformer(outliers)),\n",
    "               ('encode', LabelEncoderTransformer(encode))])\n",
    "\n",
    "pip.fit(data_train)\n",
    "data_train = pip.transform(data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge = Pipeline([('merge', MergeTransformer(personal_valid, other_valid, ['name', 'address']))])\n",
    "\n",
    "data_valid = pd.DataFrame()\n",
    "data_valid = merge.transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atribút  fnlwgt \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 2\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 5\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_glucose \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  mean_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  std_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  kurtosis_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n",
      "Atribút  skewness_oxygen \n",
      "\n",
      "Pred úpravou:\n",
      "Počet záznamov= 1311 , počet outlierov: 3\n",
      "\n",
      "\n",
      "Po úprave:\n",
      "Počet záznamov= 1311 , počet outlierov: 0\n",
      "\n",
      "\n",
      "-------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "data_valid = pip.transform(data_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_train.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_train['class']\n",
    "\n",
    "clf = tree.DecisionTreeClassifier(max_depth = 6)\n",
    "clf = clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Grafické znázornenie vytvoreného rozhodovacieho stromu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
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       "<text text-anchor=\"middle\" x=\"1136\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [806, 104]</text>\n",
       "<text text-anchor=\"middle\" x=\"1136\" y=\"-349.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 2&#45;&gt;16 -->\n",
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       "<title>2-&gt;16</title>\n",
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       "<text text-anchor=\"middle\" x=\"333\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= -1.159</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.006</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1275</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1271, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"538\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= -0.449</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.043</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 827</text>\n",
       "<text text-anchor=\"middle\" x=\"538\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [809, 18]</text>\n",
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       "<title>5</title>\n",
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       "<text text-anchor=\"middle\" x=\"168\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= -1.159</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.022</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 264</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [261, 3]</text>\n",
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       "<!-- 4&#45;&gt;5 -->\n",
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       "<text text-anchor=\"middle\" x=\"333\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">street &lt;= 1.5</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.002</text>\n",
       "<text text-anchor=\"middle\" x=\"333\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1011</text>\n",
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       "<!-- 4&#45;&gt;8 -->\n",
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       "<text text-anchor=\"middle\" x=\"52\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.015</text>\n",
       "<text text-anchor=\"middle\" x=\"52\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 263</text>\n",
       "<text text-anchor=\"middle\" x=\"52\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [261, 2]</text>\n",
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       "<!-- 5&#45;&gt;6 -->\n",
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       "<text text-anchor=\"middle\" x=\"168\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"168\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<title>9</title>\n",
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       "<text text-anchor=\"middle\" x=\"281\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.044</text>\n",
       "<text text-anchor=\"middle\" x=\"281\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 44</text>\n",
       "<text text-anchor=\"middle\" x=\"281\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [43, 1]</text>\n",
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       "<text text-anchor=\"middle\" x=\"400\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"400\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 967</text>\n",
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       "<!-- 8&#45;&gt;10 -->\n",
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       "<text text-anchor=\"middle\" x=\"471\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"471\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"471\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<!-- 11&#45;&gt;12 -->\n",
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       "<title>13</title>\n",
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       "<text text-anchor=\"middle\" x=\"596\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">relationship &lt;= 3.5</text>\n",
       "<text text-anchor=\"middle\" x=\"596\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.04</text>\n",
       "<text text-anchor=\"middle\" x=\"596\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 826</text>\n",
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       "<text text-anchor=\"middle\" x=\"516\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"516\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 9</text>\n",
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       "<!-- 13&#45;&gt;14 -->\n",
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       "<text text-anchor=\"middle\" x=\"635\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.036</text>\n",
       "<text text-anchor=\"middle\" x=\"635\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 817</text>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_glucose &lt;= 0.379</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.45</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 170</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [112, 58]</text>\n",
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       "<title>16-&gt;17</title>\n",
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       "<text text-anchor=\"middle\" x=\"1061\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 1068.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 20</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 16]</text>\n",
       "<text text-anchor=\"middle\" x=\"1061\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
       "</g>\n",
       "<!-- 17&#45;&gt;21 -->\n",
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       "<title>17-&gt;21</title>\n",
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       "<text text-anchor=\"middle\" x=\"761\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.341</text>\n",
       "<text text-anchor=\"middle\" x=\"761\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 124</text>\n",
       "<text text-anchor=\"middle\" x=\"761\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [97, 27]</text>\n",
       "<text text-anchor=\"middle\" x=\"761\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
       "</g>\n",
       "<!-- 18&#45;&gt;19 -->\n",
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       "<title>18-&gt;19</title>\n",
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       "<title>20</title>\n",
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       "<text text-anchor=\"middle\" x=\"883\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.488</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 26</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [11, 15]</text>\n",
       "<text text-anchor=\"middle\" x=\"883\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 18&#45;&gt;20 -->\n",
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       "<title>18-&gt;20</title>\n",
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       "<title>22</title>\n",
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       "<text text-anchor=\"middle\" x=\"999\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.375</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"999\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 1]</text>\n",
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       "<title>21-&gt;22</title>\n",
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       "<text text-anchor=\"middle\" x=\"1112\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.117</text>\n",
       "<text text-anchor=\"middle\" x=\"1112\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
       "<text text-anchor=\"middle\" x=\"1112\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 15]</text>\n",
       "<text text-anchor=\"middle\" x=\"1112\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>25</title>\n",
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       "<text text-anchor=\"middle\" x=\"1260\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 47.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1260\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
       "<text text-anchor=\"middle\" x=\"1260\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 734</text>\n",
       "<text text-anchor=\"middle\" x=\"1260\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [693, 41]</text>\n",
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       "<title>24-&gt;25</title>\n",
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       "<title>28</title>\n",
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       "<text text-anchor=\"middle\" x=\"1464\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_oxygen &lt;= 1697.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1464\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.278</text>\n",
       "<text text-anchor=\"middle\" x=\"1464\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
       "<text text-anchor=\"middle\" x=\"1464\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 5]</text>\n",
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       "<text text-anchor=\"middle\" x=\"1231\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.014</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 290</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [288, 2]</text>\n",
       "<text text-anchor=\"middle\" x=\"1231\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1357\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.16</text>\n",
       "<text text-anchor=\"middle\" x=\"1357\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 444</text>\n",
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       "<title>25-&gt;27</title>\n",
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       "<text text-anchor=\"middle\" x=\"1476\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1476\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<!-- 28&#45;&gt;29 -->\n",
       "<g id=\"edge29\" class=\"edge\">\n",
       "<title>28-&gt;29</title>\n",
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       "<text text-anchor=\"middle\" x=\"1585\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1585\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
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       "<text text-anchor=\"middle\" x=\"1345\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1345\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<text text-anchor=\"middle\" x=\"1458\" y=\"-402.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1458\" y=\"-387.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 11</text>\n",
       "<text text-anchor=\"middle\" x=\"1458\" y=\"-372.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 11]</text>\n",
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       "<title>31-&gt;33</title>\n",
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       "<text text-anchor=\"middle\" x=\"1801\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.559</text>\n",
       "<text text-anchor=\"middle\" x=\"1801\" y=\"-513.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.493</text>\n",
       "<text text-anchor=\"middle\" x=\"1801\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 50</text>\n",
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       "<title>34-&gt;35</title>\n",
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       "<text text-anchor=\"middle\" x=\"2253\" y=\"-528.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.78</text>\n",
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       "<text text-anchor=\"middle\" x=\"2253\" y=\"-498.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 856</text>\n",
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       "<text text-anchor=\"middle\" x=\"1723\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 56.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1723\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1723\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 28</text>\n",
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       "<title>35-&gt;36</title>\n",
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       "<text text-anchor=\"middle\" x=\"1878\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.473</text>\n",
       "<text text-anchor=\"middle\" x=\"1878\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.298</text>\n",
       "<text text-anchor=\"middle\" x=\"1878\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 22</text>\n",
       "<text text-anchor=\"middle\" x=\"1878\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [18, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"1878\" y=\"-349.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
       "</g>\n",
       "<!-- 35&#45;&gt;43 -->\n",
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       "<title>35-&gt;43</title>\n",
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       "<title>37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1617\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">income &lt;= -0.374</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.48</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 10</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 36&#45;&gt;37 -->\n",
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       "<title>36-&gt;37</title>\n",
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       "<text text-anchor=\"middle\" x=\"1742\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1742\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 18</text>\n",
       "<text text-anchor=\"middle\" x=\"1742\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 18]</text>\n",
       "<text text-anchor=\"middle\" x=\"1742\" y=\"-238.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<title>36-&gt;42</title>\n",
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       "<!-- 38 -->\n",
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       "<title>38</title>\n",
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       "<text text-anchor=\"middle\" x=\"1617\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [3, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1617\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 37&#45;&gt;38 -->\n",
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       "<title>37-&gt;38</title>\n",
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       "<title>39</title>\n",
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       "<text text-anchor=\"middle\" x=\"1729\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3024.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1729\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.245</text>\n",
       "<text text-anchor=\"middle\" x=\"1729\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
       "<text text-anchor=\"middle\" x=\"1729\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1729\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1717\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1717\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 6</text>\n",
       "<text text-anchor=\"middle\" x=\"1717\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 6]</text>\n",
       "<text text-anchor=\"middle\" x=\"1717\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"1826\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1826\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"1826\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
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       "<!-- 39&#45;&gt;41 -->\n",
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       "<title>39-&gt;41</title>\n",
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       "<!-- 44 -->\n",
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       "<title>44</title>\n",
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       "<text text-anchor=\"middle\" x=\"1858\" y=\"-283.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1858\" y=\"-268.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 17</text>\n",
       "<text text-anchor=\"middle\" x=\"1858\" y=\"-253.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [17, 0]</text>\n",
       "<text text-anchor=\"middle\" x=\"1858\" y=\"-238.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 43&#45;&gt;44 -->\n",
       "<g id=\"edge44\" class=\"edge\">\n",
       "<title>43-&gt;44</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1871.06,-341.91C1869.23,-331.2 1867.25,-319.62 1865.4,-308.78\"/>\n",
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       "<text text-anchor=\"middle\" x=\"1971\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">street &lt;= 4.5</text>\n",
       "<text text-anchor=\"middle\" x=\"1971\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"1971\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"1971\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"1971\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 43&#45;&gt;45 -->\n",
       "<g id=\"edge45\" class=\"edge\">\n",
       "<title>43-&gt;45</title>\n",
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       "<title>46</title>\n",
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       "<text text-anchor=\"middle\" x=\"1862\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1862\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"1862\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 4]</text>\n",
       "<text text-anchor=\"middle\" x=\"1862\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
       "</g>\n",
       "<!-- 45&#45;&gt;46 -->\n",
       "<g id=\"edge46\" class=\"edge\">\n",
       "<title>45-&gt;46</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1933.18,-222.91C1922.39,-211.32 1910.63,-198.7 1899.83,-187.11\"/>\n",
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       "<title>47</title>\n",
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       "<text text-anchor=\"middle\" x=\"1971\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"1971\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
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       "<!-- 45&#45;&gt;47 -->\n",
       "<g id=\"edge47\" class=\"edge\">\n",
       "<title>45-&gt;47</title>\n",
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       "<title>49</title>\n",
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       "<text text-anchor=\"middle\" x=\"2253\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">kurtosis_glucose &lt;= -0.423</text>\n",
       "<text text-anchor=\"middle\" x=\"2253\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.022</text>\n",
       "<text text-anchor=\"middle\" x=\"2253\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 820</text>\n",
       "<text text-anchor=\"middle\" x=\"2253\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [9, 811]</text>\n",
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       "<!-- 48&#45;&gt;49 -->\n",
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       "<title>48-&gt;49</title>\n",
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       "<title>60</title>\n",
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       "<text text-anchor=\"middle\" x=\"2598\" y=\"-409.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">skewness_glucose &lt;= 0.636</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-394.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.346</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-379.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-364.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [8, 28]</text>\n",
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       "<title>48-&gt;60</title>\n",
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       "<text text-anchor=\"middle\" x=\"2180\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_oxygen &lt;= 0.474</text>\n",
       "<text text-anchor=\"middle\" x=\"2180\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.266</text>\n",
       "<text text-anchor=\"middle\" x=\"2180\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 19</text>\n",
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       "<text text-anchor=\"middle\" x=\"2325\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3793.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2325\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.015</text>\n",
       "<text text-anchor=\"middle\" x=\"2325\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 801</text>\n",
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       "<text text-anchor=\"middle\" x=\"2080\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2080\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<title>52</title>\n",
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       "<text text-anchor=\"middle\" x=\"2193\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2193\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 16</text>\n",
       "<text text-anchor=\"middle\" x=\"2193\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 16]</text>\n",
       "<text text-anchor=\"middle\" x=\"2193\" y=\"-119.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 50&#45;&gt;52 -->\n",
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       "<title>50-&gt;52</title>\n",
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       "<title>54</title>\n",
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       "<text text-anchor=\"middle\" x=\"2312\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">psc &lt;= 0.209</text>\n",
       "<text text-anchor=\"middle\" x=\"2312\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.01</text>\n",
       "<text text-anchor=\"middle\" x=\"2312\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 765</text>\n",
       "<text text-anchor=\"middle\" x=\"2312\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 761]</text>\n",
       "<text text-anchor=\"middle\" x=\"2312\" y=\"-111.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2431\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">age &lt;= 3796.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2431\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.105</text>\n",
       "<text text-anchor=\"middle\" x=\"2431\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 36</text>\n",
       "<text text-anchor=\"middle\" x=\"2431\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 34]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2195\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.005</text>\n",
       "<text text-anchor=\"middle\" x=\"2195\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 726</text>\n",
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       "<text text-anchor=\"middle\" x=\"2314\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.097</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 39</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [2, 37]</text>\n",
       "<text text-anchor=\"middle\" x=\"2314\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<text text-anchor=\"middle\" x=\"2430\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2430\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2430\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 0]</text>\n",
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       "<title>59</title>\n",
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       "<text text-anchor=\"middle\" x=\"2543\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.056</text>\n",
       "<text text-anchor=\"middle\" x=\"2543\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 35</text>\n",
       "<text text-anchor=\"middle\" x=\"2543\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 34]</text>\n",
       "<text text-anchor=\"middle\" x=\"2543\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
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       "<!-- 57&#45;&gt;59 -->\n",
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       "<title>61</title>\n",
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       "<text text-anchor=\"middle\" x=\"2598\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">std_glucose &lt;= 0.842</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.32</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 5</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 1]</text>\n",
       "<text text-anchor=\"middle\" x=\"2598\" y=\"-230.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 0.0</text>\n",
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       "<!-- 60&#45;&gt;61 -->\n",
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       "<title>60-&gt;61</title>\n",
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       "<title>64</title>\n",
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       "<text text-anchor=\"middle\" x=\"2793\" y=\"-290.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">sex &lt;= 49.5</text>\n",
       "<text text-anchor=\"middle\" x=\"2793\" y=\"-275.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.225</text>\n",
       "<text text-anchor=\"middle\" x=\"2793\" y=\"-260.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 31</text>\n",
       "<text text-anchor=\"middle\" x=\"2793\" y=\"-245.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 27]</text>\n",
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       "<!-- 60&#45;&gt;64 -->\n",
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       "<text text-anchor=\"middle\" x=\"2544\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2544\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
       "<text text-anchor=\"middle\" x=\"2544\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [4, 0]</text>\n",
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       "<!-- 61&#45;&gt;62 -->\n",
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       "<title>61-&gt;62</title>\n",
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       "<title>63</title>\n",
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       "<text text-anchor=\"middle\" x=\"2653\" y=\"-164.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2653\" y=\"-149.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 1</text>\n",
       "<text text-anchor=\"middle\" x=\"2653\" y=\"-134.3\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 1]</text>\n",
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       "<!-- 61&#45;&gt;63 -->\n",
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       "<title>61-&gt;63</title>\n",
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       "<title>65</title>\n",
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       "<text text-anchor=\"middle\" x=\"2793\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">mean_oxygen &lt;= -1.524</text>\n",
       "<text text-anchor=\"middle\" x=\"2793\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.49</text>\n",
       "<text text-anchor=\"middle\" x=\"2793\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 7</text>\n",
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       "<title>64-&gt;65</title>\n",
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       "<title>68</title>\n",
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       "<text text-anchor=\"middle\" x=\"2952\" y=\"-171.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">capital-loss &lt;= 27.0</text>\n",
       "<text text-anchor=\"middle\" x=\"2952\" y=\"-156.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.08</text>\n",
       "<text text-anchor=\"middle\" x=\"2952\" y=\"-141.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 24</text>\n",
       "<text text-anchor=\"middle\" x=\"2952\" y=\"-126.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [1, 23]</text>\n",
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       "<text text-anchor=\"middle\" x=\"2697\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.375</text>\n",
       "<text text-anchor=\"middle\" x=\"2697\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 4</text>\n",
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       "<title>65-&gt;66</title>\n",
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       "<text text-anchor=\"middle\" x=\"2806\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<text text-anchor=\"middle\" x=\"2940\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.444</text>\n",
       "<text text-anchor=\"middle\" x=\"2940\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 3</text>\n",
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       "<title>70</title>\n",
       "<polygon fill=\"#399de5\" stroke=\"black\" points=\"3102,-68 3004,-68 3004,0 3102,0 3102,-68\"/>\n",
       "<text text-anchor=\"middle\" x=\"3053\" y=\"-52.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">gini = 0.0</text>\n",
       "<text text-anchor=\"middle\" x=\"3053\" y=\"-37.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">samples = 21</text>\n",
       "<text text-anchor=\"middle\" x=\"3053\" y=\"-22.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">value = [0, 21]</text>\n",
       "<text text-anchor=\"middle\" x=\"3053\" y=\"-7.8\" font-family=\"Times New Roman,serif\" font-size=\"14.00\">class = 1.0</text>\n",
       "</g>\n",
       "<!-- 68&#45;&gt;70 -->\n",
       "<g id=\"edge70\" class=\"edge\">\n",
       "<title>68-&gt;70</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2989.61,-103.73C2998.02,-94.61 3006.95,-84.93 3015.36,-75.81\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"3018.08,-78.02 3022.29,-68.3 3012.93,-73.28 3018.08,-78.02\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>svg{width:50% !important;height:50% !important;}</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glucose = ['mean_glucose', 'std_glucose', 'kurtosis_glucose', 'skewness_glucose']\n",
    "\n",
    "oxygen_age = ['mean_oxygen', 'std_oxygen', 'kurtosis_oxygen', 'skewness_oxygen', 'age']\n",
    "\n",
    "columns = ['sex', 'race', 'marital-status', 'occupation', 'pregnant', 'education-num', 'relationship', 'capital-gain', 'fnlwgt', 'income', 'native-country', 'hours-per-week', 'capital-loss', 'workclass', 'street', 'town', 'psc'] + glucose + oxygen_age\n",
    "\n",
    "# generovanie grafu pre obrázok\n",
    "export_graphviz(clf, out_file='dectree4.dot', feature_names=columns, class_names=['0.0', '1.0'], filled = True)\n",
    "\n",
    "graph = Source(export_graphviz(clf, \n",
    "                               out_file=None,\n",
    "                               feature_names=columns,\n",
    "                               class_names=['0.0', '1.0'],\n",
    "                               filled = True))\n",
    "\n",
    "display(SVG(graph.pipe(format='svg')))\n",
    "\n",
    "from IPython.display import HTML # toto je tu len pre to aby sa mi obrazok zmestil na obrazovku\n",
    "style = \"<style>svg{width:50% !important;height:50% !important;}</style>\"\n",
    "HTML(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Obrázok: dectree4.png](./dectree4.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_copy = data_valid.drop(columns=['class', 'name', 'date_of_birth', 'education'])\n",
    "X = data_copy\n",
    "y = data_valid['class']\n",
    "\n",
    "predicted_valid = clf.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.97      0.95      0.96       965\n",
      "         1.0       0.87      0.93      0.90       346\n",
      "\n",
      "    accuracy                           0.94      1311\n",
      "   macro avg       0.92      0.94      0.93      1311\n",
      "weighted avg       0.95      0.94      0.94      1311\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9443173150266971\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(data_valid['class'], predicted_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "V prvom prípade nahrádzania chýbajúcich hodnôt mala správnosť hodnotu 0.9473684210526315.\n",
    "\n",
    "Pri nahrádzaní chýbajúcich hodnôt prostredníctvom K najbližších susedov má správnosť hodnotu 0.9443173150266971.\n",
    "\n",
    "Rozdiel správnosti rôznych spôsobov je približne 0.3% s tým, že nahradenie chýbajúcich hodnôt číselných atribútov prostredníctvom k najbližších susedov má horší výsledok."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(data_valid['class'], predicted_valid)\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n",
    "disp = disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Záver\n",
    "\n",
    "V rámci porovnania viacerých spôsobov nahrádzania chýbajúcich hodnôt vyšli lepšie výsledky pre nahradenie pomocou priemeru. Na testovacích dátach vykázali lepšiu správnosť o približne 0.15% oproti pôvodnému rozhodovaciemu stromu. Avšak vplyv spôsobu nahrádzania hodnôt v našom prípade bol veľmi minimálny ani nie celé 1%."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}