DMelt:AI/Decision Tree

Decision tree

Decision tree uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes. DMelt supports a number of algorithms implemented in Java to build decision trees.

Let us construct a decision tree using the Python syntax:

from jhpro.dtree import *


dt=DecisionTree()
dt.createRoot(1,"Does animal eat meat?")
dt.addYesNode(1,2,"Does animal have stripes?")
dt.addNoNode(1,3,"Does animal have stripes?")
dt.addYesNode(2,4,"Animal is a Tiger")
dt.addNoNode(2,5,"Animal is a Leopard")
dt.addYesNode(3,6,"Animal is a Zebra")
dt.addNoNode(3,7,"Animal is a Horse")

print dt.outputBinTree() # print its structure 

c=dt.queryBinTree(dt.rootNode)
print c.toString()

c=dt.queryBinTree(c.yesBranch) # set Yes
print c.toString()

c=dt.queryBinTree(c.yesBranch) # set Yes 
print c.getNodeAnswer()        # get node answer 
print c.toString()             # print answer