ml-bootcamp/iris.dot at master · ericleoo/ml-bootcamp · GitHub

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digraph Tree {
0 [label="X[3] <= 0.7500\ngini = 0.661975308642\nsamples = 90", shape="box"] ;
1 [label="gini = 0.0000\nsamples = 25\nvalue = [ 25.   0.   0.]", shape="box"] ;
0 -> 1 ;
2 [label="X[3] <= 1.7500\ngini = 0.499881656805\nsamples = 65", shape="box"] ;
0 -> 2 ;
3 [label="X[2] <= 5.3000\ngini = 0.156734693878\nsamples = 35", shape="box"] ;
2 -> 3 ;
4 [label="gini = 0.0588\nsamples = 33\nvalue = [  0.  32.   1.]", shape="box"] ;
3 -> 4 ;
5 [label="gini = 0.0000\nsamples = 2\nvalue = [ 0.  0.  2.]", shape="box"] ;
3 -> 5 ;
6 [label="X[2] <= 4.8500\ngini = 0.0644444444444\nsamples = 30", shape="box"] ;
2 -> 6 ;
7 [label="gini = 0.4444\nsamples = 3\nvalue = [ 0.  1.  2.]", shape="box"] ;
6 -> 7 ;
8 [label="gini = 0.0000\nsamples = 27\nvalue = [  0.   0.  27.]", shape="box"] ;
6 -> 8 ;
}