.. _decisiontreevisualizationrst:

===============================
Visualiser un arbre de décision
===============================


.. only:: html

    **Links:** :download:`notebook <decision_tree_visualization.ipynb>`, :downloadlink:`html <decision_tree_visualization2html.html>`, :download:`PDF <decision_tree_visualization.pdf>`, :download:`python <decision_tree_visualization.py>`, :downloadlink:`slides <decision_tree_visualization.slides.html>`, :githublink:`GitHub|_doc/notebooks/astuces/decision_tree_visualization.ipynb|*`


Les arbres de décision sont des modèles intéressants car ils peuvent
être interprétés. Encore faut-il pouvoir les voir.

.. code:: ipython3

    from sklearn import datasets
    iris = datasets.load_iris()
    X = iris.data[:, :2]  # we only take the first two features.
    y = iris.target

.. code:: ipython3

    from sklearn.tree import DecisionTreeClassifier
    clf = DecisionTreeClassifier()
    clf.fit(X, y)




.. parsed-literal::
    DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,
                max_features=None, max_leaf_nodes=None,
                min_impurity_decrease=0.0, min_impurity_split=None,
                min_samples_leaf=1, min_samples_split=2,
                min_weight_fraction_leaf=0.0, presort=False, random_state=None,
                splitter='best')



`scikit-learn <http://scikit-learn.org/stable/>`__ implémente une
méthode qui permet d’exporter de graphe au format
`DOT <https://en.wikipedia.org/wiki/DOT_(graph_description_language)>`__
:
`export_graphviz <http://scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html>`__.
Ce graphe peut être visualiser avec l’outil
`graphviz <https://www.graphviz.org/>`__ ou des modules comme
`pydot <https://github.com/erocarrera/pydot>`__ mais cela passe par
l’installation `graphviz <https://www.graphviz.org/>`__.

.. code:: ipython3

    from sklearn.tree import export_graphviz
    dot = export_graphviz(clf, out_file=None)
    print("\n".join(dot.split('\n')[:10]) + "\n...")


.. parsed-literal::
    digraph Tree {
    node [shape=box] ;
    0 [label="X[0] <= 5.45\ngini = 0.667\nsamples = 150\nvalue = [50, 50, 50]"] ;
    1 [label="X[1] <= 2.8\ngini = 0.237\nsamples = 52\nvalue = [45, 6, 1]"] ;
    0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
    2 [label="X[0] <= 4.7\ngini = 0.449\nsamples = 7\nvalue = [1, 5, 1]"] ;
    1 -> 2 ;
    3 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]"] ;
    2 -> 3 ;
    4 [label="X[0] <= 4.95\ngini = 0.278\nsamples = 6\nvalue = [0, 5, 1]"] ;
    ...


La libraire `viz.js <https://github.com/mdaines/viz.js/>`__ est une
version javascript de `graphviz <https://www.graphviz.org/>`__. Avec un
wrapper disponible
`RenderJsDot <http://www.xavierdupre.fr/app/jyquickhelper/helpsphinx/jyquickhelper/jspy/render_nb_js_dot.html?highlight=renderjsdot#jyquickhelper.jspy.render_nb_js_dot.RenderJsDot>`__,
cela devient :

.. code:: ipython3

    from jyquickhelper import RenderJsDot
    RenderJsDot(dot)






.. raw:: html

    <div id="M25acc8dd57fc49e2a4e611fb1f1e9cf7-cont"><div id="M25acc8dd57fc49e2a4e611fb1f1e9cf7" style="width:100%;height:100%;"></div></div>
    <script>

    require(['http://www.xavierdupre.fr/js/vizjs/viz.js'], function() { var svgGraph = Viz("digraph Tree {\nnode [shape=box] ;\n0 [label=\"X[0] <= 5.45\ngini = 0.667\nsamples = 150\nvalue = [50, 50, 50]\"] ;\n1 [label=\"X[1] <= 2.8\ngini = 0.237\nsamples = 52\nvalue = [45, 6, 1]\"] ;\n0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n2 [label=\"X[0] <= 4.7\ngini = 0.449\nsamples = 7\nvalue = [1, 5, 1]\"] ;\n1 -> 2 ;\n3 [label=\"gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]\"] ;\n2 -> 3 ;\n4 [label=\"X[0] <= 4.95\ngini = 0.278\nsamples = 6\nvalue = [0, 5, 1]\"] ;\n2 -> 4 ;\n5 [label=\"X[1] <= 2.45\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n4 -> 5 ;\n6 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n5 -> 6 ;\n7 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n5 -> 7 ;\n8 [label=\"gini = 0.0\nsamples = 4\nvalue = [0, 4, 0]\"] ;\n4 -> 8 ;\n9 [label=\"X[0] <= 5.35\ngini = 0.043\nsamples = 45\nvalue = [44, 1, 0]\"] ;\n1 -> 9 ;\n10 [label=\"gini = 0.0\nsamples = 39\nvalue = [39, 0, 0]\"] ;\n9 -> 10 ;\n11 [label=\"X[1] <= 3.2\ngini = 0.278\nsamples = 6\nvalue = [5, 1, 0]\"] ;\n9 -> 11 ;\n12 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n11 -> 12 ;\n13 [label=\"gini = 0.0\nsamples = 5\nvalue = [5, 0, 0]\"] ;\n11 -> 13 ;\n14 [label=\"X[0] <= 6.15\ngini = 0.546\nsamples = 98\nvalue = [5, 44, 49]\"] ;\n0 -> 14 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n15 [label=\"X[1] <= 3.45\ngini = 0.508\nsamples = 43\nvalue = [5, 28, 10]\"] ;\n14 -> 15 ;\n16 [label=\"X[0] <= 5.75\ngini = 0.388\nsamples = 38\nvalue = [0, 28, 10]\"] ;\n15 -> 16 ;\n17 [label=\"X[0] <= 5.55\ngini = 0.208\nsamples = 17\nvalue = [0, 15, 2]\"] ;\n16 -> 17 ;\n18 [label=\"gini = 0.0\nsamples = 5\nvalue = [0, 5, 0]\"] ;\n17 -> 18 ;\n19 [label=\"X[1] <= 2.55\ngini = 0.278\nsamples = 12\nvalue = [0, 10, 2]\"] ;\n17 -> 19 ;\n20 [label=\"X[0] <= 5.65\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n19 -> 20 ;\n21 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n20 -> 21 ;\n22 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n20 -> 22 ;\n23 [label=\"X[0] <= 5.65\ngini = 0.18\nsamples = 10\nvalue = [0, 9, 1]\"] ;\n19 -> 23 ;\n24 [label=\"X[1] <= 2.85\ngini = 0.32\nsamples = 5\nvalue = [0, 4, 1]\"] ;\n23 -> 24 ;\n25 [label=\"X[1] <= 2.75\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n24 -> 25 ;\n26 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n25 -> 26 ;\n27 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n25 -> 27 ;\n28 [label=\"gini = 0.0\nsamples = 3\nvalue = [0, 3, 0]\"] ;\n24 -> 28 ;\n29 [label=\"gini = 0.0\nsamples = 5\nvalue = [0, 5, 0]\"] ;\n23 -> 29 ;\n30 [label=\"X[1] <= 3.1\ngini = 0.472\nsamples = 21\nvalue = [0, 13, 8]\"] ;\n16 -> 30 ;\n31 [label=\"X[1] <= 2.95\ngini = 0.488\nsamples = 19\nvalue = [0, 11, 8]\"] ;\n30 -> 31 ;\n32 [label=\"X[1] <= 2.85\ngini = 0.459\nsamples = 14\nvalue = [0, 9, 5]\"] ;\n31 -> 32 ;\n33 [label=\"X[0] <= 5.9\ngini = 0.486\nsamples = 12\nvalue = [0, 7, 5]\"] ;\n32 -> 33 ;\n34 [label=\"X[1] <= 2.65\ngini = 0.5\nsamples = 6\nvalue = [0, 3, 3]\"] ;\n33 -> 34 ;\n35 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n34 -> 35 ;\n36 [label=\"X[1] <= 2.75\ngini = 0.48\nsamples = 5\nvalue = [0, 2, 3]\"] ;\n34 -> 36 ;\n37 [label=\"gini = 0.5\nsamples = 4\nvalue = [0, 2, 2]\"] ;\n36 -> 37 ;\n38 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n36 -> 38 ;\n39 [label=\"X[1] <= 2.65\ngini = 0.444\nsamples = 6\nvalue = [0, 4, 2]\"] ;\n33 -> 39 ;\n40 [label=\"X[1] <= 2.4\ngini = 0.444\nsamples = 3\nvalue = [0, 1, 2]\"] ;\n39 -> 40 ;\n41 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n40 -> 41 ;\n42 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n40 -> 42 ;\n43 [label=\"gini = 0.0\nsamples = 3\nvalue = [0, 3, 0]\"] ;\n39 -> 43 ;\n44 [label=\"gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]\"] ;\n32 -> 44 ;\n45 [label=\"X[0] <= 5.95\ngini = 0.48\nsamples = 5\nvalue = [0, 2, 3]\"] ;\n31 -> 45 ;\n46 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n45 -> 46 ;\n47 [label=\"X[0] <= 6.05\ngini = 0.444\nsamples = 3\nvalue = [0, 1, 2]\"] ;\n45 -> 47 ;\n48 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n47 -> 48 ;\n49 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n47 -> 49 ;\n50 [label=\"gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]\"] ;\n30 -> 50 ;\n51 [label=\"gini = 0.0\nsamples = 5\nvalue = [5, 0, 0]\"] ;\n15 -> 51 ;\n52 [label=\"X[0] <= 7.05\ngini = 0.413\nsamples = 55\nvalue = [0, 16, 39]\"] ;\n14 -> 52 ;\n53 [label=\"X[1] <= 2.4\ngini = 0.467\nsamples = 43\nvalue = [0, 16, 27]\"] ;\n52 -> 53 ;\n54 [label=\"gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]\"] ;\n53 -> 54 ;\n55 [label=\"X[0] <= 6.95\ngini = 0.45\nsamples = 41\nvalue = [0, 14, 27]\"] ;\n53 -> 55 ;\n56 [label=\"X[1] <= 3.15\ngini = 0.439\nsamples = 40\nvalue = [0, 13, 27]\"] ;\n55 -> 56 ;\n57 [label=\"X[0] <= 6.55\ngini = 0.471\nsamples = 29\nvalue = [0, 11, 18]\"] ;\n56 -> 57 ;\n58 [label=\"X[1] <= 2.95\ngini = 0.375\nsamples = 16\nvalue = [0, 4, 12]\"] ;\n57 -> 58 ;\n59 [label=\"X[0] <= 6.45\ngini = 0.444\nsamples = 12\nvalue = [0, 4, 8]\"] ;\n58 -> 59 ;\n60 [label=\"X[1] <= 2.85\ngini = 0.397\nsamples = 11\nvalue = [0, 3, 8]\"] ;\n59 -> 60 ;\n61 [label=\"X[1] <= 2.6\ngini = 0.219\nsamples = 8\nvalue = [0, 1, 7]\"] ;\n60 -> 61 ;\n62 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n61 -> 62 ;\n63 [label=\"gini = 0.0\nsamples = 6\nvalue = [0, 0, 6]\"] ;\n61 -> 63 ;\n64 [label=\"X[0] <= 6.25\ngini = 0.444\nsamples = 3\nvalue = [0, 2, 1]\"] ;\n60 -> 64 ;\n65 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n64 -> 65 ;\n66 [label=\"X[0] <= 6.35\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n64 -> 66 ;\n67 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n66 -> 67 ;\n68 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n66 -> 68 ;\n69 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n59 -> 69 ;\n70 [label=\"gini = 0.0\nsamples = 4\nvalue = [0, 0, 4]\"] ;\n58 -> 70 ;\n71 [label=\"X[0] <= 6.65\ngini = 0.497\nsamples = 13\nvalue = [0, 7, 6]\"] ;\n57 -> 71 ;\n72 [label=\"gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]\"] ;\n71 -> 72 ;\n73 [label=\"X[1] <= 2.65\ngini = 0.496\nsamples = 11\nvalue = [0, 5, 6]\"] ;\n71 -> 73 ;\n74 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n73 -> 74 ;\n75 [label=\"X[1] <= 2.9\ngini = 0.5\nsamples = 10\nvalue = [0, 5, 5]\"] ;\n73 -> 75 ;\n76 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n75 -> 76 ;\n77 [label=\"X[0] <= 6.75\ngini = 0.494\nsamples = 9\nvalue = [0, 4, 5]\"] ;\n75 -> 77 ;\n78 [label=\"X[1] <= 3.05\ngini = 0.48\nsamples = 5\nvalue = [0, 3, 2]\"] ;\n77 -> 78 ;\n79 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n78 -> 79 ;\n80 [label=\"gini = 0.444\nsamples = 3\nvalue = [0, 2, 1]\"] ;\n78 -> 80 ;\n81 [label=\"X[0] <= 6.85\ngini = 0.375\nsamples = 4\nvalue = [0, 1, 3]\"] ;\n77 -> 81 ;\n82 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]\"] ;\n81 -> 82 ;\n83 [label=\"gini = 0.444\nsamples = 3\nvalue = [0, 1, 2]\"] ;\n81 -> 83 ;\n84 [label=\"X[0] <= 6.45\ngini = 0.298\nsamples = 11\nvalue = [0, 2, 9]\"] ;\n56 -> 84 ;\n85 [label=\"X[1] <= 3.35\ngini = 0.444\nsamples = 6\nvalue = [0, 2, 4]\"] ;\n84 -> 85 ;\n86 [label=\"X[0] <= 6.35\ngini = 0.5\nsamples = 4\nvalue = [0, 2, 2]\"] ;\n85 -> 86 ;\n87 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n86 -> 87 ;\n88 [label=\"gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]\"] ;\n86 -> 88 ;\n89 [label=\"gini = 0.0\nsamples = 2\nvalue = [0, 0, 2]\"] ;\n85 -> 89 ;\n90 [label=\"gini = 0.0\nsamples = 5\nvalue = [0, 0, 5]\"] ;\n84 -> 90 ;\n91 [label=\"gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\"] ;\n55 -> 91 ;\n92 [label=\"gini = 0.0\nsamples = 12\nvalue = [0, 0, 12]\"] ;\n52 -> 92 ;\n}");
    document.getElementById('M25acc8dd57fc49e2a4e611fb1f1e9cf7').innerHTML = svgGraph; });

    </script>



C’est encore lisible mais cela risque de ne plus le devenir pour de gros
arbres. On utilise alors la librairie `vis.js <http://visjs.org/>`__ et
le wrapper
`RenderJsVis <http://www.xavierdupre.fr/app/jyquickhelper/helpsphinx/jyquickhelper/jspy/render_nb_js_vis.html?highlight=renderjsvis#jyquickhelper.jspy.render_nb_js_vis.RenderJsVis>`__.

.. code:: ipython3

    from jyquickhelper import RenderJsVis
    RenderJsVis(dot=dot, height="400px", layout='hierarchical')






.. raw:: html

    <div id="M6f444d344a324e179d04d35e3bfd2c00-css"><link rel="stylesheet" href="http://www.xavierdupre.fr/js/visjs/vis-network.min.css" type="text/css" /><link rel="stylesheet" href="http://www.xavierdupre.fr/js/visjs/vis.min.css" type="text/css" /><div id="M6f444d344a324e179d04d35e3bfd2c00" style="width:100%;height:400px;"></div></div>
    <script>
    require.config({
    paths:{
    'vis':'http://www.xavierdupre.fr/js/visjs/vis.min',
    },
    });

    require(['vis'], function(vis) { 
    var DOTstring = 'digraph Tree {\nnode [shape=box] ;\n0 [label="X[0] <= 5.45\ngini = 0.667\nsamples = 150\nvalue = [50, 50, 50]"] ;\n1 [label="X[1] <= 2.8\ngini = 0.237\nsamples = 52\nvalue = [45, 6, 1]"] ;\n0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;\n2 [label="X[0] <= 4.7\ngini = 0.449\nsamples = 7\nvalue = [1, 5, 1]"] ;\n1 -> 2 ;\n3 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]"] ;\n2 -> 3 ;\n4 [label="X[0] <= 4.95\ngini = 0.278\nsamples = 6\nvalue = [0, 5, 1]"] ;\n2 -> 4 ;\n5 [label="X[1] <= 2.45\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n4 -> 5 ;\n6 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n5 -> 6 ;\n7 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n5 -> 7 ;\n8 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4, 0]"] ;\n4 -> 8 ;\n9 [label="X[0] <= 5.35\ngini = 0.043\nsamples = 45\nvalue = [44, 1, 0]"] ;\n1 -> 9 ;\n10 [label="gini = 0.0\nsamples = 39\nvalue = [39, 0, 0]"] ;\n9 -> 10 ;\n11 [label="X[1] <= 3.2\ngini = 0.278\nsamples = 6\nvalue = [5, 1, 0]"] ;\n9 -> 11 ;\n12 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n11 -> 12 ;\n13 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0, 0]"] ;\n11 -> 13 ;\n14 [label="X[0] <= 6.15\ngini = 0.546\nsamples = 98\nvalue = [5, 44, 49]"] ;\n0 -> 14 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;\n15 [label="X[1] <= 3.45\ngini = 0.508\nsamples = 43\nvalue = [5, 28, 10]"] ;\n14 -> 15 ;\n16 [label="X[0] <= 5.75\ngini = 0.388\nsamples = 38\nvalue = [0, 28, 10]"] ;\n15 -> 16 ;\n17 [label="X[0] <= 5.55\ngini = 0.208\nsamples = 17\nvalue = [0, 15, 2]"] ;\n16 -> 17 ;\n18 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5, 0]"] ;\n17 -> 18 ;\n19 [label="X[1] <= 2.55\ngini = 0.278\nsamples = 12\nvalue = [0, 10, 2]"] ;\n17 -> 19 ;\n20 [label="X[0] <= 5.65\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n19 -> 20 ;\n21 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n20 -> 21 ;\n22 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n20 -> 22 ;\n23 [label="X[0] <= 5.65\ngini = 0.18\nsamples = 10\nvalue = [0, 9, 1]"] ;\n19 -> 23 ;\n24 [label="X[1] <= 2.85\ngini = 0.32\nsamples = 5\nvalue = [0, 4, 1]"] ;\n23 -> 24 ;\n25 [label="X[1] <= 2.75\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n24 -> 25 ;\n26 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n25 -> 26 ;\n27 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n25 -> 27 ;\n28 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3, 0]"] ;\n24 -> 28 ;\n29 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5, 0]"] ;\n23 -> 29 ;\n30 [label="X[1] <= 3.1\ngini = 0.472\nsamples = 21\nvalue = [0, 13, 8]"] ;\n16 -> 30 ;\n31 [label="X[1] <= 2.95\ngini = 0.488\nsamples = 19\nvalue = [0, 11, 8]"] ;\n30 -> 31 ;\n32 [label="X[1] <= 2.85\ngini = 0.459\nsamples = 14\nvalue = [0, 9, 5]"] ;\n31 -> 32 ;\n33 [label="X[0] <= 5.9\ngini = 0.486\nsamples = 12\nvalue = [0, 7, 5]"] ;\n32 -> 33 ;\n34 [label="X[1] <= 2.65\ngini = 0.5\nsamples = 6\nvalue = [0, 3, 3]"] ;\n33 -> 34 ;\n35 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n34 -> 35 ;\n36 [label="X[1] <= 2.75\ngini = 0.48\nsamples = 5\nvalue = [0, 2, 3]"] ;\n34 -> 36 ;\n37 [label="gini = 0.5\nsamples = 4\nvalue = [0, 2, 2]"] ;\n36 -> 37 ;\n38 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n36 -> 38 ;\n39 [label="X[1] <= 2.65\ngini = 0.444\nsamples = 6\nvalue = [0, 4, 2]"] ;\n33 -> 39 ;\n40 [label="X[1] <= 2.4\ngini = 0.444\nsamples = 3\nvalue = [0, 1, 2]"] ;\n39 -> 40 ;\n41 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n40 -> 41 ;\n42 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n40 -> 42 ;\n43 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3, 0]"] ;\n39 -> 43 ;\n44 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]"] ;\n32 -> 44 ;\n45 [label="X[0] <= 5.95\ngini = 0.48\nsamples = 5\nvalue = [0, 2, 3]"] ;\n31 -> 45 ;\n46 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n45 -> 46 ;\n47 [label="X[0] <= 6.05\ngini = 0.444\nsamples = 3\nvalue = [0, 1, 2]"] ;\n45 -> 47 ;\n48 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n47 -> 48 ;\n49 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n47 -> 49 ;\n50 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]"] ;\n30 -> 50 ;\n51 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0, 0]"] ;\n15 -> 51 ;\n52 [label="X[0] <= 7.05\ngini = 0.413\nsamples = 55\nvalue = [0, 16, 39]"] ;\n14 -> 52 ;\n53 [label="X[1] <= 2.4\ngini = 0.467\nsamples = 43\nvalue = [0, 16, 27]"] ;\n52 -> 53 ;\n54 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]"] ;\n53 -> 54 ;\n55 [label="X[0] <= 6.95\ngini = 0.45\nsamples = 41\nvalue = [0, 14, 27]"] ;\n53 -> 55 ;\n56 [label="X[1] <= 3.15\ngini = 0.439\nsamples = 40\nvalue = [0, 13, 27]"] ;\n55 -> 56 ;\n57 [label="X[0] <= 6.55\ngini = 0.471\nsamples = 29\nvalue = [0, 11, 18]"] ;\n56 -> 57 ;\n58 [label="X[1] <= 2.95\ngini = 0.375\nsamples = 16\nvalue = [0, 4, 12]"] ;\n57 -> 58 ;\n59 [label="X[0] <= 6.45\ngini = 0.444\nsamples = 12\nvalue = [0, 4, 8]"] ;\n58 -> 59 ;\n60 [label="X[1] <= 2.85\ngini = 0.397\nsamples = 11\nvalue = [0, 3, 8]"] ;\n59 -> 60 ;\n61 [label="X[1] <= 2.6\ngini = 0.219\nsamples = 8\nvalue = [0, 1, 7]"] ;\n60 -> 61 ;\n62 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n61 -> 62 ;\n63 [label="gini = 0.0\nsamples = 6\nvalue = [0, 0, 6]"] ;\n61 -> 63 ;\n64 [label="X[0] <= 6.25\ngini = 0.444\nsamples = 3\nvalue = [0, 2, 1]"] ;\n60 -> 64 ;\n65 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n64 -> 65 ;\n66 [label="X[0] <= 6.35\ngini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n64 -> 66 ;\n67 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n66 -> 67 ;\n68 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n66 -> 68 ;\n69 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n59 -> 69 ;\n70 [label="gini = 0.0\nsamples = 4\nvalue = [0, 0, 4]"] ;\n58 -> 70 ;\n71 [label="X[0] <= 6.65\ngini = 0.497\nsamples = 13\nvalue = [0, 7, 6]"] ;\n57 -> 71 ;\n72 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]"] ;\n71 -> 72 ;\n73 [label="X[1] <= 2.65\ngini = 0.496\nsamples = 11\nvalue = [0, 5, 6]"] ;\n71 -> 73 ;\n74 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n73 -> 74 ;\n75 [label="X[1] <= 2.9\ngini = 0.5\nsamples = 10\nvalue = [0, 5, 5]"] ;\n73 -> 75 ;\n76 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n75 -> 76 ;\n77 [label="X[0] <= 6.75\ngini = 0.494\nsamples = 9\nvalue = [0, 4, 5]"] ;\n75 -> 77 ;\n78 [label="X[1] <= 3.05\ngini = 0.48\nsamples = 5\nvalue = [0, 3, 2]"] ;\n77 -> 78 ;\n79 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n78 -> 79 ;\n80 [label="gini = 0.444\nsamples = 3\nvalue = [0, 2, 1]"] ;\n78 -> 80 ;\n81 [label="X[0] <= 6.85\ngini = 0.375\nsamples = 4\nvalue = [0, 1, 3]"] ;\n77 -> 81 ;\n82 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;\n81 -> 82 ;\n83 [label="gini = 0.444\nsamples = 3\nvalue = [0, 1, 2]"] ;\n81 -> 83 ;\n84 [label="X[0] <= 6.45\ngini = 0.298\nsamples = 11\nvalue = [0, 2, 9]"] ;\n56 -> 84 ;\n85 [label="X[1] <= 3.35\ngini = 0.444\nsamples = 6\nvalue = [0, 2, 4]"] ;\n84 -> 85 ;\n86 [label="X[0] <= 6.35\ngini = 0.5\nsamples = 4\nvalue = [0, 2, 2]"] ;\n85 -> 86 ;\n87 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n86 -> 87 ;\n88 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 1]"] ;\n86 -> 88 ;\n89 [label="gini = 0.0\nsamples = 2\nvalue = [0, 0, 2]"] ;\n85 -> 89 ;\n90 [label="gini = 0.0\nsamples = 5\nvalue = [0, 0, 5]"] ;\n84 -> 90 ;\n91 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;\n55 -> 91 ;\n92 [label="gini = 0.0\nsamples = 12\nvalue = [0, 0, 12]"] ;\n52 -> 92 ;\n}';
    var parsedData = vis.network.convertDot(DOTstring);
    var data = { nodes: parsedData.nodes, edges: parsedData.edges };
    var options = parsedData.options;

    var options = {layout:{hierarchical:{direction:"UD", sortMethod:"directed", }, }, };

    var container = document.getElementById('M6f444d344a324e179d04d35e3bfd2c00');
    var network = new vis.Network(container, data, options);
     });

    </script>