Research Article
Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B
Algorithm 2
The general description of decision tree.
Input node , Dataset , partitioning method of (); | Output Decision tree on node as its root node, Dataset and partitioning method of (); | Procedure Build Tree | Initialization root node | Find decision feature according to on Dataset | If node meets with conditions of partition | According to decision feature, Partition Dataset | into and , and creates two subnodes of , namely | and ; | Build Tree (, , ); | Build Tree (, , ); | End if | End procedure |
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