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ethen8181
GitHub Repository: ethen8181/machine-learning
Path: blob/master/trees/tree.dot
1470 views
digraph Tree {
node [shape=box, style="filled", color="black"] ;
0 [label="petal length (cm) <= 2.45\nentropy = 1.585\nsamples = 150\nvalue = [50, 50, 50]\nclass = setosa", fillcolor="#e5813900"] ;
1 [label="entropy = 0.0\nsamples = 50\nvalue = [50, 0, 0]\nclass = setosa", fillcolor="#e58139ff"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="petal width (cm) <= 1.75\nentropy = 1.0\nsamples = 100\nvalue = [0, 50, 50]\nclass = versicolor", fillcolor="#39e58100"] ;
0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
3 [label="petal length (cm) <= 4.95\nentropy = 0.4451\nsamples = 54\nvalue = [0, 49, 5]\nclass = versicolor", fillcolor="#39e581e5"] ;
2 -> 3 ;
4 [label="entropy = 0.1461\nsamples = 48\nvalue = [0, 47, 1]\nclass = versicolor", fillcolor="#39e581fa"] ;
3 -> 4 ;
5 [label="entropy = 0.9183\nsamples = 6\nvalue = [0, 2, 4]\nclass = virginica", fillcolor="#8139e57f"] ;
3 -> 5 ;
6 [label="petal length (cm) <= 4.85\nentropy = 0.1511\nsamples = 46\nvalue = [0, 1, 45]\nclass = virginica", fillcolor="#8139e5f9"] ;
2 -> 6 ;
7 [label="entropy = 0.9183\nsamples = 3\nvalue = [0, 1, 2]\nclass = virginica", fillcolor="#8139e57f"] ;
6 -> 7 ;
8 [label="entropy = 0.0\nsamples = 43\nvalue = [0, 0, 43]\nclass = virginica", fillcolor="#8139e5ff"] ;
6 -> 8 ;
}