A Decision Tree Algorithm Based On Attribute Weight
Qiongsheng Zhang · Microcomputer applications · 2010
ID3 algorithm and C4.5 algorithm are all simple and productive decision tree classification algorithms,but they have low accuracy on complex decision problems such as exploratory wells decision support system. In the paper,a decision tree algorithm based on attribute weight is proposed to improve accuracy of the decision. Determining Weights is according to different influence degrees of decision of different attributes. Weights deriving from training data mark the importance of attributes. Experiment shows that the algorithm is efficient on improvement of accuracy.