decisionTree

digraph Tree {
node [shape=box] ;
0 [label="Alkaline phosphatase (U/L) <= 168.5\ngini = 0.471\nsamples = 132\nvalue = [82, 50]\nclass = 0"] ;
1 [label="Iron <= 73.5\ngini = 0.32\nsamples = 70\nvalue = [56, 14]\nclass = 0"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="Ferritin (ng/mL) <= 286.5\ngini = 0.473\nsamples = 13\nvalue = [5, 8]\nclass = 1"] ;
1 -> 2 ;
3 [label="gini = 0.408\nsamples = 7\nvalue = [5, 2]\nclass = 0"] ;
2 -> 3 ;
4 [label="gini = 0.0\nsamples = 6\nvalue = [0, 6]\nclass = 1"] ;
2 -> 4 ;
5 [label="Performance Status* <= 2.5\ngini = 0.188\nsamples = 57\nvalue = [51, 6]\nclass = 0"] ;
1 -> 5 ;
6 [label="gini = 0.109\nsamples = 52\nvalue = [49, 3]\nclass = 0"] ;
5 -> 6 ;
7 [label="gini = 0.48\nsamples = 5\nvalue = [2, 3]\nclass = 1"] ;
5 -> 7 ;
8 [label="Haemoglobin (g/dL) <= 13.65\ngini = 0.487\nsamples = 62\nvalue = [26, 36]\nclass = 1"] ;
0 -> 8 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
9 [label="Leukocytes(G/L) <= 5.45\ngini = 0.423\nsamples = 46\nvalue = [14, 32]\nclass = 1"] ;
8 -> 9 ;
10 [label="gini = 0.0\nsamples = 13\nvalue = [0, 13]\nclass = 1"] ;
9 -> 10 ;
11 [label="gini = 0.489\nsamples = 33\nvalue = [14, 19]\nclass = 1"] ;
9 -> 11 ;
12 [label="Leukocytes(G/L) <= 11.2\ngini = 0.375\nsamples = 16\nvalue = [12, 4]\nclass = 0"] ;
8 -> 12 ;
13 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]\nclass = 0"] ;
12 -> 13 ;
14 [label="gini = 0.49\nsamples = 7\nvalue = [3, 4]\nclass = 1"] ;
12 -> 14 ;
}