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emirhan_mu_variant_classification0.dot
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digraph Tree {
node [shape=box, style="filled, rounded", color="black", fontname=helvetica] ;
edge [fontname=helvetica] ;
-1 [label="AI Developer - Emirhan BULUT\nCovid-19 Mu Variant [B.1.621] Prediction and Classification\Artificial Intelligence/Machine Learning Software\nwww.emirhanbulut.com.tr", fillcolor="#e0b0ff"] ;
0 [label="Coverage <= 73.5\ngini = 0.5\nsamples = 39\nvalue = [33, 36, 0]\nclass = Female", fillcolor="#effdf5"] ;
1 [label="Coverage <= 71.5\ngini = 0.18\nsamples = 5\nvalue = [9, 1, 0]\nclass = Male", fillcolor="#e88f4f"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="Coverage <= 69.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1, 0]\nclass = Male", fillcolor="#ffffff"] ;
1 -> 2 ;
3 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
2 -> 3 ;
4 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\nclass = Female", fillcolor="#39e581"] ;
2 -> 4 ;
5 [label="gini = 0.0\nsamples = 3\nvalue = [8, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
1 -> 5 ;
6 [label="Coverage <= 83.5\ngini = 0.48\nsamples = 34\nvalue = [24, 35, 0]\nclass = Female", fillcolor="#c1f7d7"] ;
0 -> 6 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
7 [label="gini = 0.0\nsamples = 6\nvalue = [0, 8, 0]\nclass = Female", fillcolor="#39e581"] ;
6 -> 7 ;
8 [label="Coverage <= 99.5\ngini = 0.5\nsamples = 28\nvalue = [24, 27, 0]\nclass = Female", fillcolor="#e9fcf1"] ;
6 -> 8 ;
9 [label="Coverage <= 98.5\ngini = 0.5\nsamples = 26\nvalue = [24, 24, 0]\nclass = Male", fillcolor="#ffffff"] ;
8 -> 9 ;
10 [label="Coverage <= 97.5\ngini = 0.49\nsamples = 23\nvalue = [17, 24, 0]\nclass = Female", fillcolor="#c5f7da"] ;
9 -> 10 ;
11 [label="Coverage <= 94.5\ngini = 0.5\nsamples = 20\nvalue = [17, 19, 0]\nclass = Female", fillcolor="#eafcf2"] ;
10 -> 11 ;
12 [label="S:E484K <= 0.5\ngini = 0.46\nsamples = 13\nvalue = [9, 16, 0]\nclass = Female", fillcolor="#a8f4c8"] ;
11 -> 12 ;
13 [label="gini = 0.0\nsamples = 1\nvalue = [2, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
12 -> 13 ;
14 [label="Coverage <= 93.5\ngini = 0.42\nsamples = 12\nvalue = [7, 16, 0]\nclass = Female", fillcolor="#90f0b8"] ;
12 -> 14 ;
15 [label="Coverage <= 91.5\ngini = 0.45\nsamples = 10\nvalue = [7, 13, 0]\nclass = Female", fillcolor="#a4f3c5"] ;
14 -> 15 ;
16 [label="S:R346K <= 0.5\ngini = 0.38\nsamples = 7\nvalue = [4, 12, 0]\nclass = Female", fillcolor="#7beeab"] ;
15 -> 16 ;
17 [label="gini = 0.5\nsamples = 3\nvalue = [3, 3, 0]\nclass = Male", fillcolor="#ffffff"] ;
16 -> 17 ;
18 [label="Coverage <= 90.5\ngini = 0.18\nsamples = 4\nvalue = [1, 9, 0]\nclass = Female", fillcolor="#4fe88f"] ;
16 -> 18 ;
19 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1, 0]\nclass = Female", fillcolor="#39e581"] ;
18 -> 19 ;
20 [label="gini = 0.2\nsamples = 3\nvalue = [1, 8, 0]\nclass = Female", fillcolor="#52e891"] ;
18 -> 20 ;
21 [label="Coverage <= 92.5\ngini = 0.38\nsamples = 3\nvalue = [3, 1, 0]\nclass = Male", fillcolor="#eeab7b"] ;
15 -> 21 ;
22 [label="gini = 0.44\nsamples = 2\nvalue = [2, 1, 0]\nclass = Male", fillcolor="#f2c09c"] ;
21 -> 22 ;
23 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
21 -> 23 ;
24 [label="gini = 0.0\nsamples = 2\nvalue = [0, 3, 0]\nclass = Female", fillcolor="#39e581"] ;
14 -> 24 ;
25 [label="Coverage <= 96.0\ngini = 0.4\nsamples = 7\nvalue = [8, 3, 0]\nclass = Male", fillcolor="#efb083"] ;
11 -> 25 ;
26 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
25 -> 26 ;
27 [label="gini = 0.42\nsamples = 6\nvalue = [7, 3, 0]\nclass = Male", fillcolor="#f0b78e"] ;
25 -> 27 ;
28 [label="gini = 0.0\nsamples = 3\nvalue = [0, 5, 0]\nclass = Female", fillcolor="#39e581"] ;
10 -> 28 ;
29 [label="gini = 0.0\nsamples = 3\nvalue = [7, 0, 0]\nclass = Male", fillcolor="#e58139"] ;
9 -> 29 ;
30 [label="gini = 0.0\nsamples = 2\nvalue = [0, 3, 0]\nclass = Female", fillcolor="#39e581"] ;
8 -> 30 ;
}