Tuesday, 16 October 2018

Decision Tree Classification in Matlab

Hi All,

Please use the code for Decision Tree Classification


---------------------------------------------------------------

train1=[30 56 1 1 1 ; 31 10 1 1 1;10 1 60 1 1;14 1 30 1 3 ; 14 1 30 1 17;6 1 25 6 1;6 1 25 17 1]; // Training Set

G=[0 1 0 0 1 0 1]; // Labels of Training data

Mdl = fitctree(train1,G); // Training Decision Tree

test1=[30 63 1 1 1]; // Testing data

hup=predict(Mdl,test1); // Testing the decision tree

--------------------------------------------------------------

No comments:

Post a Comment