diff --git a/Extra/main.ipynb b/Extra/main.ipynb
index cd1c5bb..3b97228 100644
--- a/Extra/main.ipynb
+++ b/Extra/main.ipynb
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -272,7 +272,7 @@
        "9          Rural             120.46  36.8           smokes       1  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -325,7 +325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -456,7 +456,7 @@
        "max      48.900000     1.000000  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -467,7 +467,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -499,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -512,7 +512,7 @@
        "        require.undef(\"plotly\");\n",
        "        requirejs.config({\n",
        "            paths: {\n",
-       "                'plotly': ['https://cdn.plot.ly/plotly-2.12.1.min']\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.16.1.min']\n",
        "            }\n",
        "        });\n",
        "        require(['plotly'], function(Plotly) {\n",
@@ -543,7 +543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -590,10 +590,10 @@
        }
       },
       "text/html": [
-       "<div>                            <div id=\"b25531ea-2515-4b72-ab96-d902431f0122\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
-       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"b25531ea-2515-4b72-ab96-d902431f0122\")) {                    Plotly.newPlot(                        \"b25531ea-2515-4b72-ab96-d902431f0122\",                        [{\"labels\":[\"Female\",\"Male\"],\"marker\":{\"colors\":[\"rgba(255, 182, 193, 1.0)\",\"rgba(135, 206, 250, 1.0)\"]},\"name\":\"\",\"values\":[140,108],\"type\":\"pie\"}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"}},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"titlefont\":{\"color\":\"#4D5663\"},\"title\":\"The Proportion of Stroke among Gender\"},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"9c1441d9-9692-438e-976a-ccc21b9c9783\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
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        "                            \n",
-       "var gd = document.getElementById('b25531ea-2515-4b72-ab96-d902431f0122');\n",
+       "var gd = document.getElementById('9c1441d9-9692-438e-976a-ccc21b9c9783');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -638,7 +638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -697,10 +697,10 @@
        }
       },
       "text/html": [
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-       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"4a20c869-7fab-4c74-b963-19f4208185e7\")) {                    Plotly.newPlot(                        \"4a20c869-7fab-4c74-b963-19f4208185e7\",                        [{\"labels\":[\"Govt_job\",\"Private\",\"Self-employed\",\"children\"],\"marker\":{\"colors\":[\"rgba(152, 251, 152, 1.0)\",\"rgba(175, 238, 238, 1.0)\",\"rgba(216, 191, 216, 1.0)\",\"rgba(255, 228, 181, 1.0)\"]},\"name\":\"\",\"pull\":[0.1,0.1,0.1,0.2],\"values\":[33,148,65,2],\"type\":\"pie\"}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"}},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"titlefont\":{\"color\":\"#4D5663\"},\"title\":\"Work type of people who had stroke\"},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"28a7089f-0bb6-40b7-b061-a12ea26f9653\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
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        "                            \n",
-       "var gd = document.getElementById('4a20c869-7fab-4c74-b963-19f4208185e7');\n",
+       "var gd = document.getElementById('28a7089f-0bb6-40b7-b061-a12ea26f9653');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -745,7 +745,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -804,10 +804,10 @@
        }
       },
       "text/html": [
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+       "<div>                            <div id=\"8de77f61-c957-4f7c-830d-d4d2a47ea7e4\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
+       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"8de77f61-c957-4f7c-830d-d4d2a47ea7e4\")) {                    Plotly.newPlot(                        \"8de77f61-c957-4f7c-830d-d4d2a47ea7e4\",                        [{\"labels\":[\"Unknown\",\"formerly smoked\",\"never smoked\",\"smokes\"],\"marker\":{\"colors\":[\"rgba(152, 251, 152, 1.0)\",\"rgba(175, 238, 238, 1.0)\",\"rgba(216, 191, 216, 1.0)\",\"rgba(255, 228, 181, 1.0)\"]},\"name\":\"\",\"pull\":[0.02,0.02,0.1,0.02],\"values\":[47,70,89,42],\"type\":\"pie\"}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"}},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"titlefont\":{\"color\":\"#4D5663\"},\"title\":\"Smoking status of people who had stroke\"},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('225b7c2d-e416-4ea8-ae8b-25201cb14d11');\n",
+       "var gd = document.getElementById('8de77f61-c957-4f7c-830d-d4d2a47ea7e4');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
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@@ -851,7 +851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -903,10 +903,10 @@
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       },
       "text/html": [
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+       "<div>                            <div id=\"d6271241-e4b4-44e8-949c-fd0a3083a6a2\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
+       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"d6271241-e4b4-44e8-949c-fd0a3083a6a2\")) {                    Plotly.newPlot(                        \"d6271241-e4b4-44e8-949c-fd0a3083a6a2\",                        [{\"hole\":0.3,\"labels\":[\"Rural\",\"Urban\"],\"marker\":{\"colors\":[\"rgba(152, 251, 152, 1.0)\",\"rgba(175, 238, 238, 1.0)\"]},\"name\":\"\",\"pull\":[0.02,0.02],\"values\":[113,135],\"type\":\"pie\"}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"}},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"titlefont\":{\"color\":\"#4D5663\"},\"title\":\"Residence area of people who had stroke\"},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('cb78203b-7406-450b-9ee2-d3ada9fb4935');\n",
+       "var gd = document.getElementById('d6271241-e4b4-44e8-949c-fd0a3083a6a2');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
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@@ -950,7 +950,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1002,10 +1002,10 @@
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+       "<div>                            <div id=\"f6e6aef3-d61a-42f3-bb02-92683188c5eb\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
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-       "var gd = document.getElementById('97500b9e-0ebe-4c41-952a-693ecb059510');\n",
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@@ -1049,7 +1049,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -2457,10 +2457,10 @@
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Ages\"},\"xaxis\":{\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"Ages\"},\"zerolinecolor\":\"#E1E5ED\"},\"yaxis\":{\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"Count\"},\"zerolinecolor\":\"#E1E5ED\"}},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('8d6c1248-25c7-4b78-ad33-87ce4ac0a836');\n",
+       "var gd = document.getElementById('b141e28f-4fb9-481d-b0f2-3a015016993a');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
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@@ -2506,7 +2506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -2634,7 +2634,7 @@
        "4          Urban             186.21  29.0  formerly smoked       1  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2647,7 +2647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -2693,18 +2693,39 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3378</th>\n",
-       "      <td>1</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>1</td>\n",
+       "      <th>2217</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>115.12</td>\n",
+       "      <td>21.1</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>81.59</td>\n",
-       "      <td>27.2</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3177</th>\n",
+       "      <td>1</td>\n",
+       "      <td>51.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>85.59</td>\n",
+       "      <td>30.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
@@ -2714,14 +2735,35 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3225</th>\n",
+       "      <th>3788</th>\n",
        "      <td>1</td>\n",
-       "      <td>34.0</td>\n",
+       "      <td>61.00</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>91.02</td>\n",
-       "      <td>25.8</td>\n",
+       "      <td>71.40</td>\n",
+       "      <td>29.2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2380</th>\n",
+       "      <td>0</td>\n",
+       "      <td>49.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>92.02</td>\n",
+       "      <td>38.1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
@@ -2735,14 +2777,14 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1713</th>\n",
-       "      <td>1</td>\n",
-       "      <td>45.0</td>\n",
+       "      <th>2177</th>\n",
+       "      <td>0</td>\n",
+       "      <td>62.00</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>115.23</td>\n",
-       "      <td>28.0</td>\n",
+       "      <td>145.37</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
@@ -2750,48 +2792,6 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3067</th>\n",
-       "      <td>1</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>76.44</td>\n",
-       "      <td>48.3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3451</th>\n",
-       "      <td>1</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>83.55</td>\n",
-       "      <td>22.4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -2802,50 +2802,50 @@
        "</div>"
       ],
       "text/plain": [
-       "      gender   age  hypertension  heart_disease  ever_married  \\\n",
-       "3378       1  40.0             1              0             1   \n",
-       "3225       1  34.0             0              0             1   \n",
-       "1713       1  45.0             0              0             1   \n",
-       "3067       1  25.0             0              0             0   \n",
-       "3451       1   8.0             0              0             0   \n",
+       "      gender    age  hypertension  heart_disease  ever_married  \\\n",
+       "2217       0   1.64             0              0             0   \n",
+       "3177       1  51.00             0              0             1   \n",
+       "3788       1  61.00             0              0             1   \n",
+       "2380       0  49.00             0              0             1   \n",
+       "2177       0  62.00             0              0             1   \n",
        "\n",
        "      avg_glucose_level   bmi  stroke  work_type_Govt_job  work_type_Private  \\\n",
-       "3378              81.59  27.2       0                   0                  1   \n",
-       "3225              91.02  25.8       0                   0                  1   \n",
-       "1713             115.23  28.0       0                   0                  1   \n",
-       "3067              76.44  48.3       0                   0                  1   \n",
-       "3451              83.55  22.4       0                   0                  0   \n",
+       "2217             115.12  21.1       0                   0                  0   \n",
+       "3177              85.59  30.5       0                   1                  0   \n",
+       "3788              71.40  29.2       0                   0                  1   \n",
+       "2380              92.02  38.1       0                   0                  1   \n",
+       "2177             145.37  33.3       0                   0                  1   \n",
        "\n",
        "      work_type_Self-employed  work_type_children  Residence_type_Rural  \\\n",
-       "3378                        0                   0                     1   \n",
-       "3225                        0                   0                     0   \n",
-       "1713                        0                   0                     0   \n",
-       "3067                        0                   0                     0   \n",
-       "3451                        0                   1                     0   \n",
+       "2217                        0                   1                     0   \n",
+       "3177                        0                   0                     1   \n",
+       "3788                        0                   0                     1   \n",
+       "2380                        0                   0                     0   \n",
+       "2177                        0                   0                     0   \n",
        "\n",
        "      Residence_type_Urban  smoking_status_Unknown  \\\n",
-       "3378                     0                       0   \n",
-       "3225                     1                       0   \n",
-       "1713                     1                       0   \n",
-       "3067                     1                       1   \n",
-       "3451                     1                       1   \n",
+       "2217                     1                       1   \n",
+       "3177                     0                       0   \n",
+       "3788                     0                       0   \n",
+       "2380                     1                       0   \n",
+       "2177                     1                       1   \n",
        "\n",
        "      smoking_status_formerly smoked  smoking_status_never smoked  \\\n",
-       "3378                               0                            1   \n",
-       "3225                               0                            1   \n",
-       "1713                               0                            1   \n",
-       "3067                               0                            0   \n",
-       "3451                               0                            0   \n",
+       "2217                               0                            0   \n",
+       "3177                               0                            1   \n",
+       "3788                               1                            0   \n",
+       "2380                               0                            1   \n",
+       "2177                               0                            0   \n",
        "\n",
        "      smoking_status_smokes  \n",
-       "3378                      0  \n",
-       "3225                      0  \n",
-       "1713                      0  \n",
-       "3067                      0  \n",
-       "3451                      0  "
+       "2217                      0  \n",
+       "3177                      0  \n",
+       "3788                      0  \n",
+       "2380                      0  \n",
+       "2177                      0  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2857,7 +2857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -2884,7 +2884,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2902,7 +2902,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2912,7 +2912,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2921,7 +2921,7 @@
        "((3337, 17), (1644, 17))"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2947,7 +2947,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2959,7 +2959,7 @@
        "DecisionTreeClassifier(max_depth=5, random_state=0)"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2985,7 +2985,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3003,7 +3003,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3026,7 +3026,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -3044,7 +3044,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -3053,7 +3053,7 @@
        "array([0, 0, 0, ..., 0, 0, 0], dtype=int64)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3073,7 +3073,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3090,7 +3090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -3117,7 +3117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3144,7 +3144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -3164,6 +3164,7 @@
       "Work Type Children = 0 \n",
       "Residence Type Rural = 0 \n",
       "Residence Type Urban = 1 \n",
+      "Smoking Status Unknown = 0 \n",
       "Smoking Status Formerly Smoked = 0 \n",
       "Smoking Status Never Smoked = 1 \n",
       "Smoking Status Smoked = 0\n",
@@ -3195,7 +3196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -3215,6 +3216,7 @@
       "Work Type Children = 0 \n",
       "Residence Type Rural = 0 \n",
       "Residence Type Urban = 1 \n",
+      "Smoking Status Unknown = 0  \n",
       "Smoking Status Formerly Smoked = 1 \n",
       "Smoking Status Never Smoked = 0 \n",
       "Smoking Status Smoked = 0\n",
@@ -3246,7 +3248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -3266,6 +3268,7 @@
       "Work Type Children = 1 \n",
       "Residence Type Rural = 0 \n",
       "Residence Type Urban = 1 \n",
+      "Smoking Status Unknown = 0  \n",
       "Smoking Status Formerly Smoked = 0 \n",
       "Smoking Status Never Smoked = 0 \n",
       "Smoking Status Smokes = 1\n",
@@ -3297,7 +3300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -3317,6 +3320,7 @@
       "Work Type Children = 1 \n",
       "Residence Type Rural = 0 \n",
       "Residence Type Urban = 1 \n",
+      "Smoking Status Unknown = 0  \n",
       "Smoking Status Formerly Smoked = 0 \n",
       "Smoking Status Never Smoked = 0 \n",
       "Smoking Status Smokes = 1\n",
@@ -3348,7 +3352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -3400,7 +3404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -3409,19 +3413,15 @@
      "text": [
       "######################################################### PROGRAM STARTED #########################################################\n",
       "\n",
-      "Array 0 = [  0   2   0   1   0 116  47   0   1   1   0   1   1   1   0   1   1]\n",
+      "Array 0 = [  0  20   0   0   0 111  17   1   0   0   0   1   0   1   0   0   0]\n",
       "Model predicts NO STROKE =  [0]\n",
       "###################################################################################################################################\n",
       "\n",
-      "Array 1 = [  1   6   1   1   0 241  18   1   0   0   0   1   0   1   0   1   0]\n",
+      "Array 1 = [ 1 19  0  1  1 85 98  1  0  0  0  1  0  1  0  0  0]\n",
       "Model predicts NO STROKE =  [0]\n",
       "###################################################################################################################################\n",
       "\n",
-      "Array 2 = [ 0 19  0  1  0 94 21  1  0  1  1  0  1  1  1  0  1]\n",
-      "Model predicts NO STROKE =  [0]\n",
-      "###################################################################################################################################\n",
-      "\n",
-      "Array 3 = [ 1 45  0  1  1 50 30  0  1  1  0  1  0  1  1  1  0]\n",
+      "Array 2 = [ 0 80  0  0  1 27 89  1  0  0  0  1  0  1  0  0  0]\n",
       "Model predicts STROKE =  [1]\n",
       "######################################################### PROGRAM FINISHED #########################################################\n"
      ]
@@ -3437,14 +3437,83 @@
     "print(\"######################################################### PROGRAM STARTED #########################################################\")\n",
     "\n",
     "while predictionOutcome == [0]:\n",
-    "    arr1=np.random.randint(2, size=1)\n",
-    "    arr2=np.random.randint(83, size=1)\n",
-    "    arr3=np.random.randint(2, size=3)\n",
-    "    arr4=np.random.randint(272, size=1)\n",
-    "    arr5=np.random.randint(49, size=1)\n",
-    "    arr6=np.random.randint(2, size=10)\n",
+    "    arr1=np.random.randint(2, size=1) #Gender\n",
+    "    arr2=np.random.randint(83, size=1) #Age\n",
+    "    arr3=np.random.randint(2, size=1) #Hypertention\n",
+    "    arr4=np.random.randint(2, size=1) #Heart Disease\n",
+    "    arr5=np.random.randint(2, size=1) #Ever Married\n",
+    "    arr6=np.random.randint(272, size=1) #Avg Glucose Level\n",
+    "    arr7=np.random.randint(100, size=1) #bmi\n",
     "    \n",
-    "    array = np.concatenate((arr1, arr2, arr3, arr4, arr5, arr6), axis=0)\n",
+    "    worktype= random.randint(0,4) #Work Type\n",
+    "    \n",
+    "    arr8=[0] #Govt Job\n",
+    "    arr9=[0] #Private\n",
+    "    arr10=[0] #Self-Employed\n",
+    "    arr11=[0] #Children\n",
+    "    \n",
+    "    if worktype == 0:\n",
+    "        arr8=[1] #Govt Job\n",
+    "        arr9=[0] #Private\n",
+    "        arr10=[0] #Self-Employed\n",
+    "        arr11=[0] #Children\n",
+    "    elif worktype == 1:\n",
+    "        arr8=[0] #Govt Job\n",
+    "        arr9=[1] #Private\n",
+    "        arr10=[0] #Self-Employed\n",
+    "        arr11=[0] #Children\n",
+    "    elif worktype == 2:\n",
+    "        arr8=[0] #Govt Job\n",
+    "        arr9=[0] #Private\n",
+    "        arr10=[1] #Self-Employed\n",
+    "        arr10=[0] #Children\n",
+    "    elif worktype == 3:\n",
+    "        arr8=[0] #Govt Job\n",
+    "        arr10=[0] #Self-Employed\n",
+    "        arr10=[0] #Self-Employed\n",
+    "        arr11=[1] #Children\n",
+    "    \n",
+    "    residencetype= random.randint(0,2) #Residence Type\n",
+    "    \n",
+    "    arr12=[0] #Rural\n",
+    "    arr17=[0] #Urban\n",
+    "    \n",
+    "    if worktype == 0:\n",
+    "        arr12=[1] #Rural\n",
+    "        arr17=[0] #Urban\n",
+    "    elif worktype == 1:\n",
+    "        arr12=[0] #Rural\n",
+    "        arr17=[1] #Urban\n",
+    "    \n",
+    "    smokingtype= random.randint(0,4) #Smoking Type\n",
+    "    \n",
+    "    arr13=[0] #Unknown\n",
+    "    arr14=[0] #Formerly Smoked\n",
+    "    arr15=[0] #Never Smoked\n",
+    "    arr16=[0] #Smokes\n",
+    "    \n",
+    "    if worktype == 0:\n",
+    "        arr13=[1] #Unknown\n",
+    "        arr14=[0] #Formerly Smoked\n",
+    "        arr15=[0] #Never Smoked\n",
+    "        arr16=[0] #Smokes\n",
+    "    elif worktype == 1:\n",
+    "        arr13=[0] #Unknown\n",
+    "        arr14=[1] #Formerly Smoked\n",
+    "        arr15=[0] #Never Smoked\n",
+    "        arr16=[0] #Smokes\n",
+    "    elif worktype == 2:\n",
+    "        arr13=[0] #Unknown\n",
+    "        arr14=[0] #Formerly Smoked\n",
+    "        arr15=[1] #Never Smoked\n",
+    "        arr16=[0] #Smokes\n",
+    "    elif worktype == 3:\n",
+    "        arr13=[0] #Unknown\n",
+    "        arr14=[0] #Formerly Smoked\n",
+    "        arr15=[0] #Never Smoked\n",
+    "        arr16=[1] #Smokes\n",
+    "    \n",
+    "    array = np.concatenate((arr1, arr2, arr3, arr4, arr5, arr6, arr7, arr8, arr9, arr10, arr11, arr12, arr17, arr13, arr14, arr15, arr16), axis=0)\n",
     "    \n",
     "    print(\"\\nArray %d =\" %count, array)\n",
     "    \n",
diff --git a/Extra/stroke-prediction-visual-model.dot b/Extra/stroke-prediction-visual-model.dot
index 774b3dd..051bbed 100644
--- a/Extra/stroke-prediction-visual-model.dot
+++ b/Extra/stroke-prediction-visual-model.dot
@@ -1,3 +1,949 @@
 digraph Tree {
 node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
 edge [fontname="helvetica"] ;
+0 [label="age <= 65.5\ngini = 0.093\nsamples = 3337\nvalue = [3174, 163]", fillcolor="#e68743"] ;
+1 [label="age <= 48.5\ngini = 0.043\nsamples = 2671\nvalue = [2612, 59]", fillcolor="#e6843d"] ;
+0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+2 [label="age <= 37.5\ngini = 0.012\nsamples = 1835\nvalue = [1824, 11]", fillcolor="#e5823a"] ;
+1 -> 2 ;
+3 [label="smoking_status_smokes <= 0.5\ngini = 0.002\nsamples = 1322\nvalue = [1321, 1]", fillcolor="#e58139"] ;
+2 -> 3 ;
+4 [label="gini = 0.0\nsamples = 1164\nvalue = [1164, 0]", fillcolor="#e58139"] ;
+3 -> 4 ;
+5 [label="age <= 31.5\ngini = 0.013\nsamples = 158\nvalue = [157, 1]", fillcolor="#e5823a"] ;
+3 -> 5 ;
+6 [label="gini = 0.0\nsamples = 116\nvalue = [116, 0]", fillcolor="#e58139"] ;
+5 -> 6 ;
+7 [label="avg_glucose_level <= 76.645\ngini = 0.046\nsamples = 42\nvalue = [41, 1]", fillcolor="#e6843e"] ;
+5 -> 7 ;
+8 [label="avg_glucose_level <= 75.285\ngini = 0.165\nsamples = 11\nvalue = [10, 1]", fillcolor="#e88e4d"] ;
+7 -> 8 ;
+9 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
+8 -> 9 ;
+10 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+8 -> 10 ;
+11 [label="gini = 0.0\nsamples = 31\nvalue = [31, 0]", fillcolor="#e58139"] ;
+7 -> 11 ;
+12 [label="avg_glucose_level <= 86.965\ngini = 0.038\nsamples = 513\nvalue = [503, 10]", fillcolor="#e6843d"] ;
+2 -> 12 ;
+13 [label="avg_glucose_level <= 86.935\ngini = 0.069\nsamples = 225\nvalue = [217, 8]", fillcolor="#e68640"] ;
+12 -> 13 ;
+14 [label="avg_glucose_level <= 82.26\ngini = 0.061\nsamples = 224\nvalue = [217, 7]", fillcolor="#e6853f"] ;
+13 -> 14 ;
+15 [label="hypertension <= 0.5\ngini = 0.035\nsamples = 170\nvalue = [167, 3]", fillcolor="#e5833d"] ;
+14 -> 15 ;
+16 [label="age <= 44.5\ngini = 0.025\nsamples = 161\nvalue = [159, 2]", fillcolor="#e5833b"] ;
+15 -> 16 ;
+17 [label="gini = 0.0\nsamples = 97\nvalue = [97, 0]", fillcolor="#e58139"] ;
+16 -> 17 ;
+18 [label="smoking_status_never smoked <= 0.5\ngini = 0.061\nsamples = 64\nvalue = [62, 2]", fillcolor="#e6853f"] ;
+16 -> 18 ;
+19 [label="gini = 0.0\nsamples = 38\nvalue = [38, 0]", fillcolor="#e58139"] ;
+18 -> 19 ;
+20 [label="age <= 46.5\ngini = 0.142\nsamples = 26\nvalue = [24, 2]", fillcolor="#e78c49"] ;
+18 -> 20 ;
+21 [label="work_type_Private <= 0.5\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
+20 -> 21 ;
+22 [label="gini = 0.0\nsamples = 7\nvalue = [7, 0]", fillcolor="#e58139"] ;
+21 -> 22 ;
+23 [label="avg_glucose_level <= 79.6\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
+21 -> 23 ;
+24 [label="bmi <= 29.05\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+23 -> 24 ;
+25 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+24 -> 25 ;
+26 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+24 -> 26 ;
+27 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+23 -> 27 ;
+28 [label="gini = 0.0\nsamples = 14\nvalue = [14, 0]", fillcolor="#e58139"] ;
+20 -> 28 ;
+29 [label="smoking_status_smokes <= 0.5\ngini = 0.198\nsamples = 9\nvalue = [8, 1]", fillcolor="#e89152"] ;
+15 -> 29 ;
+30 [label="gini = 0.0\nsamples = 8\nvalue = [8, 0]", fillcolor="#e58139"] ;
+29 -> 30 ;
+31 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+29 -> 31 ;
+32 [label="avg_glucose_level <= 82.3\ngini = 0.137\nsamples = 54\nvalue = [50, 4]", fillcolor="#e78b49"] ;
+14 -> 32 ;
+33 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+32 -> 33 ;
+34 [label="avg_glucose_level <= 83.425\ngini = 0.107\nsamples = 53\nvalue = [50, 3]", fillcolor="#e78945"] ;
+32 -> 34 ;
+35 [label="avg_glucose_level <= 83.19\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
+34 -> 35 ;
+36 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
+35 -> 36 ;
+37 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+35 -> 37 ;
+38 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+37 -> 38 ;
+39 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+37 -> 39 ;
+40 [label="age <= 47.5\ngini = 0.048\nsamples = 41\nvalue = [40, 1]", fillcolor="#e6843e"] ;
+34 -> 40 ;
+41 [label="gini = 0.0\nsamples = 37\nvalue = [37, 0]", fillcolor="#e58139"] ;
+40 -> 41 ;
+42 [label="avg_glucose_level <= 84.38\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+40 -> 42 ;
+43 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+42 -> 43 ;
+44 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+42 -> 44 ;
+45 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+13 -> 45 ;
+46 [label="bmi <= 45.45\ngini = 0.014\nsamples = 288\nvalue = [286, 2]", fillcolor="#e5823a"] ;
+12 -> 46 ;
+47 [label="age <= 38.5\ngini = 0.007\nsamples = 283\nvalue = [282, 1]", fillcolor="#e5813a"] ;
+46 -> 47 ;
+48 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.074\nsamples = 26\nvalue = [25, 1]", fillcolor="#e68641"] ;
+47 -> 48 ;
+49 [label="gini = 0.0\nsamples = 20\nvalue = [20, 0]", fillcolor="#e58139"] ;
+48 -> 49 ;
+50 [label="bmi <= 30.35\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
+48 -> 50 ;
+51 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+50 -> 51 ;
+52 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+50 -> 52 ;
+53 [label="gini = 0.0\nsamples = 257\nvalue = [257, 0]", fillcolor="#e58139"] ;
+47 -> 53 ;
+54 [label="bmi <= 46.2\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
+46 -> 54 ;
+55 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+54 -> 55 ;
+56 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+54 -> 56 ;
+57 [label="avg_glucose_level <= 100.97\ngini = 0.108\nsamples = 836\nvalue = [788, 48]", fillcolor="#e78945"] ;
+1 -> 57 ;
+58 [label="bmi <= 25.55\ngini = 0.068\nsamples = 482\nvalue = [465, 17]", fillcolor="#e68640"] ;
+57 -> 58 ;
+59 [label="gini = 0.0\nsamples = 81\nvalue = [81, 0]", fillcolor="#e58139"] ;
+58 -> 59 ;
+60 [label="bmi <= 30.4\ngini = 0.081\nsamples = 401\nvalue = [384, 17]", fillcolor="#e68742"] ;
+58 -> 60 ;
+61 [label="bmi <= 29.95\ngini = 0.121\nsamples = 185\nvalue = [173, 12]", fillcolor="#e78a47"] ;
+60 -> 61 ;
+62 [label="bmi <= 26.45\ngini = 0.071\nsamples = 162\nvalue = [156, 6]", fillcolor="#e68641"] ;
+61 -> 62 ;
+63 [label="avg_glucose_level <= 92.03\ngini = 0.204\nsamples = 26\nvalue = [23, 3]", fillcolor="#e89153"] ;
+62 -> 63 ;
+64 [label="gini = 0.0\nsamples = 21\nvalue = [21, 0]", fillcolor="#e58139"] ;
+63 -> 64 ;
+65 [label="bmi <= 26.25\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
+63 -> 65 ;
+66 [label="work_type_Self-employed <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+65 -> 66 ;
+67 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+66 -> 67 ;
+68 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+66 -> 68 ;
+69 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+65 -> 69 ;
+70 [label="work_type_Govt_job <= 0.5\ngini = 0.043\nsamples = 136\nvalue = [133, 3]", fillcolor="#e6843d"] ;
+62 -> 70 ;
+71 [label="age <= 54.5\ngini = 0.017\nsamples = 120\nvalue = [119, 1]", fillcolor="#e5823b"] ;
+70 -> 71 ;
+72 [label="age <= 53.5\ngini = 0.048\nsamples = 41\nvalue = [40, 1]", fillcolor="#e6843e"] ;
+71 -> 72 ;
+73 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
+72 -> 73 ;
+74 [label="gender <= 0.5\ngini = 0.198\nsamples = 9\nvalue = [8, 1]", fillcolor="#e89152"] ;
+72 -> 74 ;
+75 [label="avg_glucose_level <= 64.39\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+74 -> 75 ;
+76 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+75 -> 76 ;
+77 [label="bmi <= 28.95\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+75 -> 77 ;
+78 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+77 -> 78 ;
+79 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+77 -> 79 ;
+80 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+74 -> 80 ;
+81 [label="gini = 0.0\nsamples = 79\nvalue = [79, 0]", fillcolor="#e58139"] ;
+71 -> 81 ;
+82 [label="heart_disease <= 0.5\ngini = 0.219\nsamples = 16\nvalue = [14, 2]", fillcolor="#e99355"] ;
+70 -> 82 ;
+83 [label="hypertension <= 0.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
+82 -> 83 ;
+84 [label="gini = 0.0\nsamples = 14\nvalue = [14, 0]", fillcolor="#e58139"] ;
+83 -> 84 ;
+85 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+83 -> 85 ;
+86 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+82 -> 86 ;
+87 [label="Residence_type_Rural <= 0.5\ngini = 0.386\nsamples = 23\nvalue = [17, 6]", fillcolor="#eead7f"] ;
+61 -> 87 ;
+88 [label="age <= 63.5\ngini = 0.469\nsamples = 8\nvalue = [3, 5]", fillcolor="#b0d8f5"] ;
+87 -> 88 ;
+89 [label="work_type_Govt_job <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [1, 5]", fillcolor="#61b1ea"] ;
+88 -> 89 ;
+90 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
+89 -> 90 ;
+91 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+89 -> 91 ;
+92 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+88 -> 92 ;
+93 [label="age <= 50.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
+87 -> 93 ;
+94 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+93 -> 94 ;
+95 [label="gini = 0.0\nsamples = 14\nvalue = [14, 0]", fillcolor="#e58139"] ;
+93 -> 95 ;
+96 [label="ever_married <= 0.5\ngini = 0.045\nsamples = 216\nvalue = [211, 5]", fillcolor="#e6843e"] ;
+60 -> 96 ;
+97 [label="bmi <= 37.2\ngini = 0.208\nsamples = 17\nvalue = [15, 2]", fillcolor="#e89253"] ;
+96 -> 97 ;
+98 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
+97 -> 98 ;
+99 [label="Residence_type_Rural <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
+97 -> 99 ;
+100 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+99 -> 100 ;
+101 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+99 -> 101 ;
+102 [label="work_type_Govt_job <= 0.5\ngini = 0.03\nsamples = 199\nvalue = [196, 3]", fillcolor="#e5833c"] ;
+96 -> 102 ;
+103 [label="smoking_status_Unknown <= 0.5\ngini = 0.012\nsamples = 163\nvalue = [162, 1]", fillcolor="#e5823a"] ;
+102 -> 103 ;
+104 [label="gini = 0.0\nsamples = 132\nvalue = [132, 0]", fillcolor="#e58139"] ;
+103 -> 104 ;
+105 [label="bmi <= 36.65\ngini = 0.062\nsamples = 31\nvalue = [30, 1]", fillcolor="#e68540"] ;
+103 -> 105 ;
+106 [label="gini = 0.0\nsamples = 27\nvalue = [27, 0]", fillcolor="#e58139"] ;
+105 -> 106 ;
+107 [label="bmi <= 37.85\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+105 -> 107 ;
+108 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+107 -> 108 ;
+109 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+107 -> 109 ;
+110 [label="avg_glucose_level <= 68.26\ngini = 0.105\nsamples = 36\nvalue = [34, 2]", fillcolor="#e78845"] ;
+102 -> 110 ;
+111 [label="avg_glucose_level <= 63.415\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
+110 -> 111 ;
+112 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+111 -> 112 ;
+113 [label="bmi <= 43.85\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+111 -> 113 ;
+114 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+113 -> 114 ;
+115 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+113 -> 115 ;
+116 [label="gini = 0.0\nsamples = 31\nvalue = [31, 0]", fillcolor="#e58139"] ;
+110 -> 116 ;
+117 [label="avg_glucose_level <= 101.015\ngini = 0.16\nsamples = 354\nvalue = [323, 31]", fillcolor="#e78d4c"] ;
+57 -> 117 ;
+118 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+117 -> 118 ;
+119 [label="smoking_status_never smoked <= 0.5\ngini = 0.156\nsamples = 353\nvalue = [323, 30]", fillcolor="#e78d4b"] ;
+117 -> 119 ;
+120 [label="bmi <= 45.85\ngini = 0.213\nsamples = 214\nvalue = [188, 26]", fillcolor="#e99254"] ;
+119 -> 120 ;
+121 [label="avg_glucose_level <= 222.245\ngini = 0.207\nsamples = 213\nvalue = [188, 25]", fillcolor="#e89253"] ;
+120 -> 121 ;
+122 [label="avg_glucose_level <= 221.86\ngini = 0.236\nsamples = 183\nvalue = [158, 25]", fillcolor="#e99558"] ;
+121 -> 122 ;
+123 [label="age <= 55.5\ngini = 0.229\nsamples = 182\nvalue = [158, 24]", fillcolor="#e99457"] ;
+122 -> 123 ;
+124 [label="avg_glucose_level <= 105.11\ngini = 0.145\nsamples = 89\nvalue = [82, 7]", fillcolor="#e78c4a"] ;
+123 -> 124 ;
+125 [label="avg_glucose_level <= 104.375\ngini = 0.426\nsamples = 13\nvalue = [9, 4]", fillcolor="#f1b991"] ;
+124 -> 125 ;
+126 [label="age <= 51.5\ngini = 0.298\nsamples = 11\nvalue = [9, 2]", fillcolor="#eb9d65"] ;
+125 -> 126 ;
+127 [label="Residence_type_Urban <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
+126 -> 127 ;
+128 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+127 -> 128 ;
+129 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+128 -> 129 ;
+130 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+128 -> 130 ;
+131 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+127 -> 131 ;
+132 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+126 -> 132 ;
+133 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+125 -> 133 ;
+134 [label="bmi <= 40.3\ngini = 0.076\nsamples = 76\nvalue = [73, 3]", fillcolor="#e68641"] ;
+124 -> 134 ;
+135 [label="age <= 49.5\ngini = 0.031\nsamples = 64\nvalue = [63, 1]", fillcolor="#e5833c"] ;
+134 -> 135 ;
+136 [label="avg_glucose_level <= 155.33\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
+135 -> 136 ;
+137 [label="gini = 0.0\nsamples = 7\nvalue = [7, 0]", fillcolor="#e58139"] ;
+136 -> 137 ;
+138 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+136 -> 138 ;
+139 [label="gini = 0.0\nsamples = 56\nvalue = [56, 0]", fillcolor="#e58139"] ;
+135 -> 139 ;
+140 [label="bmi <= 42.7\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
+134 -> 140 ;
+141 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
+140 -> 141 ;
+142 [label="bmi <= 42.3\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
+141 -> 142 ;
+143 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+142 -> 143 ;
+144 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+142 -> 144 ;
+145 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+141 -> 145 ;
+146 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+140 -> 146 ;
+147 [label="age <= 59.5\ngini = 0.299\nsamples = 93\nvalue = [76, 17]", fillcolor="#eb9d65"] ;
+123 -> 147 ;
+148 [label="work_type_Private <= 0.5\ngini = 0.42\nsamples = 40\nvalue = [28, 12]", fillcolor="#f0b78e"] ;
+147 -> 148 ;
+149 [label="bmi <= 29.4\ngini = 0.208\nsamples = 17\nvalue = [15, 2]", fillcolor="#e89253"] ;
+148 -> 149 ;
+150 [label="bmi <= 26.5\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
+149 -> 150 ;
+151 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+150 -> 151 ;
+152 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+150 -> 152 ;
+153 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
+149 -> 153 ;
+154 [label="bmi <= 30.85\ngini = 0.491\nsamples = 23\nvalue = [13, 10]", fillcolor="#f9e2d1"] ;
+148 -> 154 ;
+155 [label="bmi <= 24.55\ngini = 0.165\nsamples = 11\nvalue = [10, 1]", fillcolor="#e88e4d"] ;
+154 -> 155 ;
+156 [label="age <= 58.0\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+155 -> 156 ;
+157 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+156 -> 157 ;
+158 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+156 -> 158 ;
+159 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
+155 -> 159 ;
+160 [label="bmi <= 35.15\ngini = 0.375\nsamples = 12\nvalue = [3, 9]", fillcolor="#7bbeee"] ;
+154 -> 160 ;
+161 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
+160 -> 161 ;
+162 [label="avg_glucose_level <= 198.86\ngini = 0.49\nsamples = 7\nvalue = [3, 4]", fillcolor="#cee6f8"] ;
+160 -> 162 ;
+163 [label="gender <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
+162 -> 163 ;
+164 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+163 -> 164 ;
+165 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+163 -> 165 ;
+166 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+165 -> 166 ;
+167 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+165 -> 167 ;
+168 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+162 -> 168 ;
+169 [label="bmi <= 21.2\ngini = 0.171\nsamples = 53\nvalue = [48, 5]", fillcolor="#e88e4e"] ;
+147 -> 169 ;
+170 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+169 -> 170 ;
+171 [label="heart_disease <= 0.5\ngini = 0.142\nsamples = 52\nvalue = [48, 4]", fillcolor="#e78c49"] ;
+169 -> 171 ;
+172 [label="age <= 62.5\ngini = 0.083\nsamples = 46\nvalue = [44, 2]", fillcolor="#e68742"] ;
+171 -> 172 ;
+173 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
+172 -> 173 ;
+174 [label="bmi <= 24.0\ngini = 0.245\nsamples = 14\nvalue = [12, 2]", fillcolor="#e9965a"] ;
+172 -> 174 ;
+175 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+174 -> 175 ;
+176 [label="work_type_Self-employed <= 0.5\ngini = 0.142\nsamples = 13\nvalue = [12, 1]", fillcolor="#e78c49"] ;
+174 -> 176 ;
+177 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
+176 -> 177 ;
+178 [label="bmi <= 30.25\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+176 -> 178 ;
+179 [label="smoking_status_Unknown <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+178 -> 179 ;
+180 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+179 -> 180 ;
+181 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+179 -> 181 ;
+182 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+178 -> 182 ;
+183 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
+171 -> 183 ;
+184 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+183 -> 184 ;
+185 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+183 -> 185 ;
+186 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+122 -> 186 ;
+187 [label="gini = 0.0\nsamples = 30\nvalue = [30, 0]", fillcolor="#e58139"] ;
+121 -> 187 ;
+188 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+120 -> 188 ;
+189 [label="age <= 60.5\ngini = 0.056\nsamples = 139\nvalue = [135, 4]", fillcolor="#e6853f"] ;
+119 -> 189 ;
+190 [label="age <= 51.5\ngini = 0.02\nsamples = 100\nvalue = [99, 1]", fillcolor="#e5823b"] ;
+189 -> 190 ;
+191 [label="avg_glucose_level <= 158.28\ngini = 0.077\nsamples = 25\nvalue = [24, 1]", fillcolor="#e68641"] ;
+190 -> 191 ;
+192 [label="gini = 0.0\nsamples = 18\nvalue = [18, 0]", fillcolor="#e58139"] ;
+191 -> 192 ;
+193 [label="avg_glucose_level <= 170.825\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
+191 -> 193 ;
+194 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+193 -> 194 ;
+195 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+193 -> 195 ;
+196 [label="gini = 0.0\nsamples = 75\nvalue = [75, 0]", fillcolor="#e58139"] ;
+190 -> 196 ;
+197 [label="avg_glucose_level <= 228.38\ngini = 0.142\nsamples = 39\nvalue = [36, 3]", fillcolor="#e78c49"] ;
+189 -> 197 ;
+198 [label="avg_glucose_level <= 197.175\ngini = 0.1\nsamples = 38\nvalue = [36, 2]", fillcolor="#e68844"] ;
+197 -> 198 ;
+199 [label="gini = 0.0\nsamples = 25\nvalue = [25, 0]", fillcolor="#e58139"] ;
+198 -> 199 ;
+200 [label="avg_glucose_level <= 202.985\ngini = 0.26\nsamples = 13\nvalue = [11, 2]", fillcolor="#ea985d"] ;
+198 -> 200 ;
+201 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+200 -> 201 ;
+202 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+201 -> 202 ;
+203 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+201 -> 203 ;
+204 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
+200 -> 204 ;
+205 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+197 -> 205 ;
+206 [label="bmi <= 29.35\ngini = 0.264\nsamples = 666\nvalue = [562, 104]", fillcolor="#ea985e"] ;
+0 -> 206 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+207 [label="age <= 73.5\ngini = 0.316\nsamples = 366\nvalue = [294, 72]", fillcolor="#eba069"] ;
+206 -> 207 ;
+208 [label="bmi <= 26.65\ngini = 0.229\nsamples = 129\nvalue = [112, 17]", fillcolor="#e99457"] ;
+207 -> 208 ;
+209 [label="avg_glucose_level <= 238.14\ngini = 0.15\nsamples = 61\nvalue = [56, 5]", fillcolor="#e78c4b"] ;
+208 -> 209 ;
+210 [label="bmi <= 22.85\ngini = 0.128\nsamples = 58\nvalue = [54, 4]", fillcolor="#e78a48"] ;
+209 -> 210 ;
+211 [label="ever_married <= 0.5\ngini = 0.255\nsamples = 20\nvalue = [17, 3]", fillcolor="#ea975c"] ;
+210 -> 211 ;
+212 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+211 -> 212 ;
+213 [label="Residence_type_Rural <= 0.5\ngini = 0.188\nsamples = 19\nvalue = [17, 2]", fillcolor="#e89050"] ;
+211 -> 213 ;
+214 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
+213 -> 214 ;
+215 [label="gender <= 0.5\ngini = 0.375\nsamples = 8\nvalue = [6, 2]", fillcolor="#eeab7b"] ;
+213 -> 215 ;
+216 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+215 -> 216 ;
+217 [label="avg_glucose_level <= 156.08\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
+215 -> 217 ;
+218 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+217 -> 218 ;
+219 [label="work_type_Self-employed <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+217 -> 219 ;
+220 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+219 -> 220 ;
+221 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+219 -> 221 ;
+222 [label="avg_glucose_level <= 62.19\ngini = 0.051\nsamples = 38\nvalue = [37, 1]", fillcolor="#e6843e"] ;
+210 -> 222 ;
+223 [label="avg_glucose_level <= 61.65\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+222 -> 223 ;
+224 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+223 -> 224 ;
+225 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+223 -> 225 ;
+226 [label="gini = 0.0\nsamples = 34\nvalue = [34, 0]", fillcolor="#e58139"] ;
+222 -> 226 ;
+227 [label="avg_glucose_level <= 246.835\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+209 -> 227 ;
+228 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+227 -> 228 ;
+229 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+227 -> 229 ;
+230 [label="avg_glucose_level <= 76.885\ngini = 0.291\nsamples = 68\nvalue = [56, 12]", fillcolor="#eb9c63"] ;
+208 -> 230 ;
+231 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
+230 -> 231 ;
+232 [label="bmi <= 29.25\ngini = 0.341\nsamples = 55\nvalue = [43, 12]", fillcolor="#eca470"] ;
+230 -> 232 ;
+233 [label="avg_glucose_level <= 78.755\ngini = 0.324\nsamples = 54\nvalue = [43, 11]", fillcolor="#eca16c"] ;
+232 -> 233 ;
+234 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+233 -> 234 ;
+235 [label="bmi <= 28.55\ngini = 0.306\nsamples = 53\nvalue = [43, 10]", fillcolor="#eb9e67"] ;
+233 -> 235 ;
+236 [label="gender <= 0.5\ngini = 0.361\nsamples = 38\nvalue = [29, 9]", fillcolor="#eda876"] ;
+235 -> 236 ;
+237 [label="smoking_status_never smoked <= 0.5\ngini = 0.236\nsamples = 22\nvalue = [19, 3]", fillcolor="#e99558"] ;
+236 -> 237 ;
+238 [label="bmi <= 27.15\ngini = 0.42\nsamples = 10\nvalue = [7, 3]", fillcolor="#f0b78e"] ;
+237 -> 238 ;
+239 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+238 -> 239 ;
+240 [label="avg_glucose_level <= 90.19\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
+238 -> 240 ;
+241 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+240 -> 241 ;
+242 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
+240 -> 242 ;
+243 [label="gini = 0.0\nsamples = 12\nvalue = [12, 0]", fillcolor="#e58139"] ;
+237 -> 243 ;
+244 [label="avg_glucose_level <= 83.18\ngini = 0.469\nsamples = 16\nvalue = [10, 6]", fillcolor="#f5cdb0"] ;
+236 -> 244 ;
+245 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+244 -> 245 ;
+246 [label="bmi <= 26.95\ngini = 0.408\nsamples = 14\nvalue = [10, 4]", fillcolor="#efb388"] ;
+244 -> 246 ;
+247 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+246 -> 247 ;
+248 [label="age <= 71.5\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
+246 -> 248 ;
+249 [label="hypertension <= 0.5\ngini = 0.165\nsamples = 11\nvalue = [10, 1]", fillcolor="#e88e4d"] ;
+248 -> 249 ;
+250 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
+249 -> 250 ;
+251 [label="avg_glucose_level <= 166.86\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+249 -> 251 ;
+252 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+251 -> 252 ;
+253 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+251 -> 253 ;
+254 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+248 -> 254 ;
+255 [label="smoking_status_smokes <= 0.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
+235 -> 255 ;
+256 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
+255 -> 256 ;
+257 [label="avg_glucose_level <= 82.305\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+255 -> 257 ;
+258 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+257 -> 258 ;
+259 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+257 -> 259 ;
+260 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+232 -> 260 ;
+261 [label="work_type_Private <= 0.5\ngini = 0.356\nsamples = 237\nvalue = [182, 55]", fillcolor="#eda775"] ;
+207 -> 261 ;
+262 [label="bmi <= 17.6\ngini = 0.296\nsamples = 133\nvalue = [109, 24]", fillcolor="#eb9d65"] ;
+261 -> 262 ;
+263 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+262 -> 263 ;
+264 [label="bmi <= 29.25\ngini = 0.288\nsamples = 132\nvalue = [109, 23]", fillcolor="#ea9c63"] ;
+262 -> 264 ;
+265 [label="bmi <= 26.15\ngini = 0.279\nsamples = 131\nvalue = [109, 22]", fillcolor="#ea9a61"] ;
+264 -> 265 ;
+266 [label="age <= 79.5\ngini = 0.187\nsamples = 67\nvalue = [60, 7]", fillcolor="#e89050"] ;
+265 -> 266 ;
+267 [label="avg_glucose_level <= 132.52\ngini = 0.089\nsamples = 43\nvalue = [41, 2]", fillcolor="#e68743"] ;
+266 -> 267 ;
+268 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
+267 -> 268 ;
+269 [label="avg_glucose_level <= 182.725\ngini = 0.298\nsamples = 11\nvalue = [9, 2]", fillcolor="#eb9d65"] ;
+267 -> 269 ;
+270 [label="heart_disease <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+269 -> 270 ;
+271 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+270 -> 271 ;
+272 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+270 -> 272 ;
+273 [label="gini = 0.0\nsamples = 8\nvalue = [8, 0]", fillcolor="#e58139"] ;
+269 -> 273 ;
+274 [label="smoking_status_never smoked <= 0.5\ngini = 0.33\nsamples = 24\nvalue = [19, 5]", fillcolor="#eca26d"] ;
+266 -> 274 ;
+275 [label="bmi <= 19.6\ngini = 0.153\nsamples = 12\nvalue = [11, 1]", fillcolor="#e78c4b"] ;
+274 -> 275 ;
+276 [label="smoking_status_Unknown <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+275 -> 276 ;
+277 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+276 -> 277 ;
+278 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+276 -> 278 ;
+279 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
+275 -> 279 ;
+280 [label="gender <= 0.5\ngini = 0.444\nsamples = 12\nvalue = [8, 4]", fillcolor="#f2c09c"] ;
+274 -> 280 ;
+281 [label="avg_glucose_level <= 80.215\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+280 -> 281 ;
+282 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+281 -> 282 ;
+283 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+281 -> 283 ;
+284 [label="avg_glucose_level <= 99.72\ngini = 0.346\nsamples = 9\nvalue = [7, 2]", fillcolor="#eca572"] ;
+280 -> 284 ;
+285 [label="avg_glucose_level <= 89.025\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
+284 -> 285 ;
+286 [label="hypertension <= 0.5\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
+285 -> 286 ;
+287 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+286 -> 287 ;
+288 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+286 -> 288 ;
+289 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+285 -> 289 ;
+290 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+284 -> 290 ;
+291 [label="bmi <= 27.15\ngini = 0.359\nsamples = 64\nvalue = [49, 15]", fillcolor="#eda876"] ;
+265 -> 291 ;
+292 [label="age <= 80.5\ngini = 0.488\nsamples = 19\nvalue = [11, 8]", fillcolor="#f8ddc9"] ;
+291 -> 292 ;
+293 [label="avg_glucose_level <= 79.015\ngini = 0.498\nsamples = 15\nvalue = [7, 8]", fillcolor="#e6f3fc"] ;
+292 -> 293 ;
+294 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
+293 -> 294 ;
+295 [label="Residence_type_Urban <= 0.5\ngini = 0.486\nsamples = 12\nvalue = [7, 5]", fillcolor="#f8dbc6"] ;
+293 -> 295 ;
+296 [label="hypertension <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
+295 -> 296 ;
+297 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+296 -> 297 ;
+298 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+296 -> 298 ;
+299 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
+295 -> 299 ;
+300 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
+299 -> 300 ;
+301 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+299 -> 301 ;
+302 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+292 -> 302 ;
+303 [label="avg_glucose_level <= 62.88\ngini = 0.263\nsamples = 45\nvalue = [38, 7]", fillcolor="#ea985d"] ;
+291 -> 303 ;
+304 [label="age <= 76.5\ngini = 0.5\nsamples = 6\nvalue = [3, 3]", fillcolor="#ffffff"] ;
+303 -> 304 ;
+305 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+304 -> 305 ;
+306 [label="heart_disease <= 0.5\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+304 -> 306 ;
+307 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+306 -> 307 ;
+308 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+306 -> 308 ;
+309 [label="avg_glucose_level <= 92.78\ngini = 0.184\nsamples = 39\nvalue = [35, 4]", fillcolor="#e88f50"] ;
+303 -> 309 ;
+310 [label="gini = 0.0\nsamples = 19\nvalue = [19, 0]", fillcolor="#e58139"] ;
+309 -> 310 ;
+311 [label="bmi <= 29.15\ngini = 0.32\nsamples = 20\nvalue = [16, 4]", fillcolor="#eca06a"] ;
+309 -> 311 ;
+312 [label="gender <= 0.5\ngini = 0.266\nsamples = 19\nvalue = [16, 3]", fillcolor="#ea995e"] ;
+311 -> 312 ;
+313 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
+312 -> 313 ;
+314 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.444\nsamples = 9\nvalue = [6, 3]", fillcolor="#f2c09c"] ;
+312 -> 314 ;
+315 [label="age <= 75.5\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
+314 -> 315 ;
+316 [label="heart_disease <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+315 -> 316 ;
+317 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+316 -> 317 ;
+318 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+316 -> 318 ;
+319 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+315 -> 319 ;
+320 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+314 -> 320 ;
+321 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+311 -> 321 ;
+322 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+264 -> 322 ;
+323 [label="smoking_status_Unknown <= 0.5\ngini = 0.418\nsamples = 104\nvalue = [73, 31]", fillcolor="#f0b78d"] ;
+261 -> 323 ;
+324 [label="hypertension <= 0.5\ngini = 0.378\nsamples = 79\nvalue = [59, 20]", fillcolor="#eeac7c"] ;
+323 -> 324 ;
+325 [label="age <= 78.5\ngini = 0.312\nsamples = 62\nvalue = [50, 12]", fillcolor="#eb9f69"] ;
+324 -> 325 ;
+326 [label="avg_glucose_level <= 61.6\ngini = 0.137\nsamples = 27\nvalue = [25, 2]", fillcolor="#e78b49"] ;
+325 -> 326 ;
+327 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+326 -> 327 ;
+328 [label="bmi <= 24.15\ngini = 0.074\nsamples = 26\nvalue = [25, 1]", fillcolor="#e68641"] ;
+326 -> 328 ;
+329 [label="smoking_status_never smoked <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+328 -> 329 ;
+330 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+329 -> 330 ;
+331 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+329 -> 331 ;
+332 [label="gini = 0.0\nsamples = 23\nvalue = [23, 0]", fillcolor="#e58139"] ;
+328 -> 332 ;
+333 [label="avg_glucose_level <= 107.125\ngini = 0.408\nsamples = 35\nvalue = [25, 10]", fillcolor="#efb388"] ;
+325 -> 333 ;
+334 [label="smoking_status_never smoked <= 0.5\ngini = 0.227\nsamples = 23\nvalue = [20, 3]", fillcolor="#e99457"] ;
+333 -> 334 ;
+335 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
+334 -> 335 ;
+336 [label="age <= 79.5\ngini = 0.375\nsamples = 12\nvalue = [9, 3]", fillcolor="#eeab7b"] ;
+334 -> 336 ;
+337 [label="heart_disease <= 0.5\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
+336 -> 337 ;
+338 [label="avg_glucose_level <= 71.035\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
+337 -> 338 ;
+339 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+338 -> 339 ;
+340 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+338 -> 340 ;
+341 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+337 -> 341 ;
+342 [label="bmi <= 26.5\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
+336 -> 342 ;
+343 [label="avg_glucose_level <= 82.885\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+342 -> 343 ;
+344 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+343 -> 344 ;
+345 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+343 -> 345 ;
+346 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+342 -> 346 ;
+347 [label="ever_married <= 0.5\ngini = 0.486\nsamples = 12\nvalue = [5, 7]", fillcolor="#c6e3f8"] ;
+333 -> 347 ;
+348 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+347 -> 348 ;
+349 [label="smoking_status_never smoked <= 0.5\ngini = 0.346\nsamples = 9\nvalue = [2, 7]", fillcolor="#72b9ec"] ;
+347 -> 349 ;
+350 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
+349 -> 350 ;
+351 [label="heart_disease <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
+349 -> 351 ;
+352 [label="age <= 80.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+351 -> 352 ;
+353 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+352 -> 353 ;
+354 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+352 -> 354 ;
+355 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+351 -> 355 ;
+356 [label="avg_glucose_level <= 82.24\ngini = 0.498\nsamples = 17\nvalue = [9, 8]", fillcolor="#fcf1e9"] ;
+324 -> 356 ;
+357 [label="avg_glucose_level <= 64.685\ngini = 0.408\nsamples = 7\nvalue = [2, 5]", fillcolor="#88c4ef"] ;
+356 -> 357 ;
+358 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+357 -> 358 ;
+359 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
+357 -> 359 ;
+360 [label="avg_glucose_level <= 237.3\ngini = 0.42\nsamples = 10\nvalue = [7, 3]", fillcolor="#f0b78e"] ;
+356 -> 360 ;
+361 [label="ever_married <= 0.5\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
+360 -> 361 ;
+362 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+361 -> 362 ;
+363 [label="gini = 0.0\nsamples = 7\nvalue = [7, 0]", fillcolor="#e58139"] ;
+361 -> 363 ;
+364 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+360 -> 364 ;
+365 [label="Residence_type_Urban <= 0.5\ngini = 0.493\nsamples = 25\nvalue = [14, 11]", fillcolor="#f9e4d5"] ;
+323 -> 365 ;
+366 [label="avg_glucose_level <= 151.4\ngini = 0.375\nsamples = 12\nvalue = [9, 3]", fillcolor="#eeab7b"] ;
+365 -> 366 ;
+367 [label="bmi <= 20.8\ngini = 0.18\nsamples = 10\nvalue = [9, 1]", fillcolor="#e88f4f"] ;
+366 -> 367 ;
+368 [label="avg_glucose_level <= 87.09\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+367 -> 368 ;
+369 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+368 -> 369 ;
+370 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+368 -> 370 ;
+371 [label="gini = 0.0\nsamples = 8\nvalue = [8, 0]", fillcolor="#e58139"] ;
+367 -> 371 ;
+372 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+366 -> 372 ;
+373 [label="bmi <= 23.8\ngini = 0.473\nsamples = 13\nvalue = [5, 8]", fillcolor="#b5daf5"] ;
+365 -> 373 ;
+374 [label="gender <= 0.5\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
+373 -> 374 ;
+375 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+374 -> 375 ;
+376 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
+374 -> 376 ;
+377 [label="heart_disease <= 0.5\ngini = 0.346\nsamples = 9\nvalue = [2, 7]", fillcolor="#72b9ec"] ;
+373 -> 377 ;
+378 [label="avg_glucose_level <= 66.515\ngini = 0.219\nsamples = 8\nvalue = [1, 7]", fillcolor="#55abe9"] ;
+377 -> 378 ;
+379 [label="avg_glucose_level <= 59.03\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+378 -> 379 ;
+380 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+379 -> 380 ;
+381 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+379 -> 381 ;
+382 [label="gini = 0.0\nsamples = 6\nvalue = [0, 6]", fillcolor="#399de5"] ;
+378 -> 382 ;
+383 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+377 -> 383 ;
+384 [label="avg_glucose_level <= 219.865\ngini = 0.191\nsamples = 300\nvalue = [268, 32]", fillcolor="#e89051"] ;
+206 -> 384 ;
+385 [label="hypertension <= 0.5\ngini = 0.145\nsamples = 255\nvalue = [235, 20]", fillcolor="#e78c4a"] ;
+384 -> 385 ;
+386 [label="age <= 76.5\ngini = 0.099\nsamples = 192\nvalue = [182, 10]", fillcolor="#e68844"] ;
+385 -> 386 ;
+387 [label="smoking_status_smokes <= 0.5\ngini = 0.017\nsamples = 114\nvalue = [113, 1]", fillcolor="#e5823b"] ;
+386 -> 387 ;
+388 [label="gini = 0.0\nsamples = 95\nvalue = [95, 0]", fillcolor="#e58139"] ;
+387 -> 388 ;
+389 [label="age <= 73.0\ngini = 0.1\nsamples = 19\nvalue = [18, 1]", fillcolor="#e68844"] ;
+387 -> 389 ;
+390 [label="gini = 0.0\nsamples = 16\nvalue = [16, 0]", fillcolor="#e58139"] ;
+389 -> 390 ;
+391 [label="work_type_Private <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+389 -> 391 ;
+392 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+391 -> 392 ;
+393 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+391 -> 393 ;
+394 [label="bmi <= 43.15\ngini = 0.204\nsamples = 78\nvalue = [69, 9]", fillcolor="#e89153"] ;
+386 -> 394 ;
+395 [label="bmi <= 34.15\ngini = 0.186\nsamples = 77\nvalue = [69, 8]", fillcolor="#e89050"] ;
+394 -> 395 ;
+396 [label="bmi <= 34.0\ngini = 0.245\nsamples = 56\nvalue = [48, 8]", fillcolor="#e9965a"] ;
+395 -> 396 ;
+397 [label="avg_glucose_level <= 85.775\ngini = 0.222\nsamples = 55\nvalue = [48, 7]", fillcolor="#e99356"] ;
+396 -> 397 ;
+398 [label="gini = 0.0\nsamples = 19\nvalue = [19, 0]", fillcolor="#e58139"] ;
+397 -> 398 ;
+399 [label="bmi <= 31.95\ngini = 0.313\nsamples = 36\nvalue = [29, 7]", fillcolor="#eb9f69"] ;
+397 -> 399 ;
+400 [label="avg_glucose_level <= 87.16\ngini = 0.147\nsamples = 25\nvalue = [23, 2]", fillcolor="#e78c4a"] ;
+399 -> 400 ;
+401 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+400 -> 401 ;
+402 [label="age <= 78.5\ngini = 0.08\nsamples = 24\nvalue = [23, 1]", fillcolor="#e68642"] ;
+400 -> 402 ;
+403 [label="avg_glucose_level <= 106.92\ngini = 0.198\nsamples = 9\nvalue = [8, 1]", fillcolor="#e89152"] ;
+402 -> 403 ;
+404 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+403 -> 404 ;
+405 [label="avg_glucose_level <= 155.525\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+403 -> 405 ;
+406 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+405 -> 406 ;
+407 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+405 -> 407 ;
+408 [label="gini = 0.0\nsamples = 15\nvalue = [15, 0]", fillcolor="#e58139"] ;
+402 -> 408 ;
+409 [label="avg_glucose_level <= 111.015\ngini = 0.496\nsamples = 11\nvalue = [6, 5]", fillcolor="#fbeade"] ;
+399 -> 409 ;
+410 [label="avg_glucose_level <= 89.3\ngini = 0.32\nsamples = 5\nvalue = [1, 4]", fillcolor="#6ab6ec"] ;
+409 -> 410 ;
+411 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+410 -> 411 ;
+412 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
+410 -> 412 ;
+413 [label="bmi <= 32.75\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
+409 -> 413 ;
+414 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+413 -> 414 ;
+415 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
+413 -> 415 ;
+416 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+396 -> 416 ;
+417 [label="gini = 0.0\nsamples = 21\nvalue = [21, 0]", fillcolor="#e58139"] ;
+395 -> 417 ;
+418 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+394 -> 418 ;
+419 [label="ever_married <= 0.5\ngini = 0.267\nsamples = 63\nvalue = [53, 10]", fillcolor="#ea995e"] ;
+385 -> 419 ;
+420 [label="gender <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
+419 -> 420 ;
+421 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+420 -> 421 ;
+422 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
+420 -> 422 ;
+423 [label="avg_glucose_level <= 116.13\ngini = 0.212\nsamples = 58\nvalue = [51, 7]", fillcolor="#e99254"] ;
+419 -> 423 ;
+424 [label="age <= 79.5\ngini = 0.067\nsamples = 29\nvalue = [28, 1]", fillcolor="#e68640"] ;
+423 -> 424 ;
+425 [label="gini = 0.0\nsamples = 23\nvalue = [23, 0]", fillcolor="#e58139"] ;
+424 -> 425 ;
+426 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
+424 -> 426 ;
+427 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+426 -> 427 ;
+428 [label="bmi <= 32.0\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+426 -> 428 ;
+429 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+428 -> 429 ;
+430 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+428 -> 430 ;
+431 [label="avg_glucose_level <= 199.87\ngini = 0.328\nsamples = 29\nvalue = [23, 6]", fillcolor="#eca26d"] ;
+423 -> 431 ;
+432 [label="work_type_Private <= 0.5\ngini = 0.49\nsamples = 14\nvalue = [8, 6]", fillcolor="#f8e0ce"] ;
+431 -> 432 ;
+433 [label="bmi <= 33.0\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
+432 -> 433 ;
+434 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
+433 -> 434 ;
+435 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+433 -> 435 ;
+436 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+435 -> 436 ;
+437 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+435 -> 437 ;
+438 [label="avg_glucose_level <= 192.38\ngini = 0.375\nsamples = 8\nvalue = [6, 2]", fillcolor="#eeab7b"] ;
+432 -> 438 ;
+439 [label="avg_glucose_level <= 170.03\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
+438 -> 439 ;
+440 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+439 -> 440 ;
+441 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+439 -> 441 ;
+442 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
+438 -> 442 ;
+443 [label="gini = 0.0\nsamples = 15\nvalue = [15, 0]", fillcolor="#e58139"] ;
+431 -> 443 ;
+444 [label="work_type_Private <= 0.5\ngini = 0.391\nsamples = 45\nvalue = [33, 12]", fillcolor="#eeaf81"] ;
+384 -> 444 ;
+445 [label="avg_glucose_level <= 252.09\ngini = 0.142\nsamples = 13\nvalue = [12, 1]", fillcolor="#e78c49"] ;
+444 -> 445 ;
+446 [label="gini = 0.0\nsamples = 12\nvalue = [12, 0]", fillcolor="#e58139"] ;
+445 -> 446 ;
+447 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+445 -> 447 ;
+448 [label="bmi <= 31.65\ngini = 0.451\nsamples = 32\nvalue = [21, 11]", fillcolor="#f3c3a1"] ;
+444 -> 448 ;
+449 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+448 -> 449 ;
+450 [label="bmi <= 32.4\ngini = 0.488\nsamples = 26\nvalue = [15, 11]", fillcolor="#f8ddca"] ;
+448 -> 450 ;
+451 [label="hypertension <= 0.5\ngini = 0.32\nsamples = 5\nvalue = [1, 4]", fillcolor="#6ab6ec"] ;
+450 -> 451 ;
+452 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
+451 -> 452 ;
+453 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+451 -> 453 ;
+454 [label="bmi <= 33.55\ngini = 0.444\nsamples = 21\nvalue = [14, 7]", fillcolor="#f2c09c"] ;
+450 -> 454 ;
+455 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
+454 -> 455 ;
+456 [label="age <= 66.5\ngini = 0.498\nsamples = 15\nvalue = [8, 7]", fillcolor="#fcefe6"] ;
+454 -> 456 ;
+457 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+456 -> 457 ;
+458 [label="age <= 77.5\ngini = 0.497\nsamples = 13\nvalue = [6, 7]", fillcolor="#e3f1fb"] ;
+456 -> 458 ;
+459 [label="heart_disease <= 0.5\ngini = 0.463\nsamples = 11\nvalue = [4, 7]", fillcolor="#aad5f4"] ;
+458 -> 459 ;
+460 [label="hypertension <= 0.5\ngini = 0.494\nsamples = 9\nvalue = [4, 5]", fillcolor="#d7ebfa"] ;
+459 -> 460 ;
+461 [label="age <= 74.5\ngini = 0.49\nsamples = 7\nvalue = [4, 3]", fillcolor="#f8e0ce"] ;
+460 -> 461 ;
+462 [label="age <= 69.0\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
+461 -> 462 ;
+463 [label="age <= 67.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
+462 -> 463 ;
+464 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+463 -> 464 ;
+465 [label="bmi <= 43.15\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
+463 -> 465 ;
+466 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
+465 -> 466 ;
+467 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
+465 -> 467 ;
+468 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+462 -> 468 ;
+469 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+461 -> 469 ;
+470 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+460 -> 470 ;
+471 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
+459 -> 471 ;
+472 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
+458 -> 472 ;
+}
\ No newline at end of file