tree.dot

digraph Tree {
node [shape=box, style="filled", color="black"] ;
0 [label="Na_to_K <= 14.615\nentropy = 1.929\nsamples = 140\nvalue = [16, 11, 11, 33, 69]", fillcolor="#e539c056"] ;
1 [label="BP <= 0.5\nentropy = 1.832\nsamples = 71\nvalue = [16, 11, 11, 33, 0]", fillcolor="#3c39e54f"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="Age <= 50.5\nentropy = 0.975\nsamples = 27\nvalue = [16, 11, 0, 0, 0]", fillcolor="#e5813950"] ;
1 -> 2 ;
3 [label="entropy = 0.0\nsamples = 16\nvalue = [16, 0, 0, 0, 0]", fillcolor="#e58139ff"] ;
2 -> 3 ;
4 [label="entropy = 0.0\nsamples = 11\nvalue = [0, 11, 0, 0, 0]", fillcolor="#7be539ff"] ;
2 -> 4 ;
5 [label="Cholesterol <= 0.5\nentropy = 0.811\nsamples = 44\nvalue = [0, 0, 11, 33, 0]", fillcolor="#3c39e5aa"] ;
1 -> 5 ;
6 [label="BP <= 1.5\nentropy = 0.998\nsamples = 21\nvalue = [0, 0, 11, 10, 0]", fillcolor="#39e5c517"] ;
5 -> 6 ;
7 [label="entropy = 0.0\nsamples = 11\nvalue = [0, 0, 11, 0, 0]", fillcolor="#39e5c5ff"] ;
6 -> 7 ;
8 [label="entropy = 0.0\nsamples = 10\nvalue = [0, 0, 0, 10, 0]", fillcolor="#3c39e5ff"] ;
6 -> 8 ;
9 [label="entropy = 0.0\nsamples = 23\nvalue = [0, 0, 0, 23, 0]", fillcolor="#3c39e5ff"] ;
5 -> 9 ;
10 [label="entropy = 0.0\nsamples = 69\nvalue = [0, 0, 0, 0, 69]", fillcolor="#e539c0ff"] ;
0 -> 10 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
}