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mGalarnykmGalarnyk
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Updated decision tree to separate setosa
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‎.DS_Store‎

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‎Sklearn/.DS_Store‎

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‎Sklearn/DecisionTrees/.DS_Store‎

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‎Sklearn/DecisionTrees/.ipynb_checkpoints/DecisionTreeAnatomy-checkpoint.ipynb‎

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‎Sklearn/DecisionTrees/DecisionTreeAnatomy.ipynb‎

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‎Sklearn/DecisionTrees/dotfiles/iris_depth2_decisionTreeExample.dot‎

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digraph Tree {
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node [shape=box] ;
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0 [label="petal length (cm) <= 2.45\ngini = 0.665\nsamples = 112\nvalue = [38, 40, 34]\nclass = versicolor"] ;
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1 [label="gini = 0.0\nsamples = 38\nvalue = [38, 0, 0]\nclass = setosa"] ;
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0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
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2 [label="petal length (cm) <= 4.95\ngini = 0.497\nsamples = 74\nvalue = [0, 40, 34]\nclass = versicolor"] ;
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0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False", arrowsize=1.5, penwidth = 2.5] ;
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3 [label="gini = 0.136\nsamples = 41\nvalue = [0, 38, 3]\nclass = versicolor"] ;
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2 -> 3 [labeldistance=2.5, labelangle=45, headlabel="True", arrowsize=1.5, penwidth = 2.5] ;
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4 [label="gini = 0.114\nsamples = 33\nvalue = [0, 2, 31]\nclass = virginica"] ;
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2 -> 4 [labeldistance=2.5, labelangle=-75, headlabel="False"];
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}

‎Sklearn/DecisionTrees/dotfiles/iris_depth2_decisionTreeExample.png‎

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‎Sklearn/DecisionTrees/dotfiles/notperfectClass.png‎

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‎Sklearn/DecisionTrees/dotfiles/notperfectClassDN1.png‎

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‎Sklearn/DecisionTrees/dotfiles/notperfectClassDN2.png‎

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