Research Article
Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model
| Input: training set D | | Output: | | Loop | | { | | maxgini=0; | | splitF=null; | | e=gini(Attributes); | | For all Attribute a in D do | | gini=gini-gain(f,e); | | if gini> max gini then | | maxgini=gini; | | splitF=f; | | Partition(D, SplitF) | | | | } | | End |
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