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Updated decision tree tutorial for partial classification boundary
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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_decisionTree.dot

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digraph Tree {
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node [shape=box] ;
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0 [label="petal width (cm) <= 0.8\ngini = 0.665\nsamples = 112\nvalue = [37, 34, 41]\nclass = virginica"] ;
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0 [label="petal length (cm) <= 2.35\ngini = 0.665\nsamples = 112\nvalue = [37, 34, 41]\nclass = virginica"] ;
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1 [label="gini = 0.0\nsamples = 37\nvalue = [37, 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 = 0.496\nsamples = 75\nvalue = [0, 34, 41]\nclass = virginica"] ;
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