Added a decision surface of sorts to explain prediction

Author: mGalarnyk

.DS_Store

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+digraph Tree {
+node [shape=box, style="filled", color="black"] ;
+0 [label = "Root Node", fillcolor="cyan"] ;
+1 [label = "Leaf/Terminal\nNode", fillcolor="springgreen"] ;
+0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+2 [label="Decision Node", fillcolor="pink"] ;
+0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+3 [label = "Leaf/Terminal\nNode", fillcolor="springgreen"] ;
+2 -> 3 ;
+4 [label = "Leaf/Terminal\nNode", fillcolor="springgreen"] ;
+2 -> 4 ;
+}

Sklearn/.DS_Store

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+digraph Tree {
+node [shape=box] ;
+0 [label="petal width (cm) <= 0.8\ngini = 0.665\nsamples = 112\nvalue = [37, 34, 41]\nclass = virginica"] ;
+1 [label="gini = 0.0\nsamples = 37\nvalue = [37, 0, 0]\nclass = setosa"] ;
+0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+2 [label="petal length (cm) <= 4.95\ngini = 0.496\nsamples = 75\nvalue = [0, 34, 41]\nclass = virginica"] ;
+0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+3 [label="gini = 0.153\nsamples = 36\nvalue = [0, 33, 3]\nclass = versicolor"] ;
+2 -> 3 ;
+4 [label="gini = 0.05\nsamples = 39\nvalue = [0, 1, 38]\nclass = virginica"] ;
+2 -> 4 ;
+}

Sklearn/DecisionTrees/.DS_Store

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+digraph Tree {
+node [shape=box, style="filled", color="black"] ;
+0 [label="Is the petal length (cm) <= 2.35?", fillcolor="pink"] ;
+1 [label="setosa", fillcolor="springgreen"] ;
+0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+2 [label="Is the petal length (cm) <= 4.95", fillcolor="pink"] ;
+0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+3 [label="versicolor", fillcolor="springgreen"] ;
+2 -> 3 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+4 [label="virginica", fillcolor="springgreen"] ;
+2 -> 4 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+}