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신우섭(Woo Seub Shin),권영만(Young Man Kwon) 한국IT마케팅학회 2015 한국IT마케팅학회 학술대회 Vol.2015 No.1
In this paper, we have developed a new algorithm that combined decision trees and neuron network as the main purpose of R program. Research background was initiated due to the low performance of the classification decision tree. Research goal is combine to decision trees and neural networks to performance for improved classification. Experimental method is to compare the decision tree and random forest for obesity data and iris data whether classfication performance. The experimental results is error rate that higher than the combined model, and combined model is classification performance can be seen that good.
신우섭(Woo Seub Shin),권영만(Young Man Kwon) 한국IT마케팅학회 2015 한국IT마케팅학회 논문집 Vol.1 No.1
In this paper, we have developed a new algorithm that combined decision trees and neuron network as the main purpose of R program. Research background was initiated due to the low performance of the classification decision tree. Research goal is combine to decision trees and neural networks to performance for improved classification. Experimental method is to compare the decision tree and random forest for obesity data and iris data whether classfication performance. The experimental results is error rate that higher than the combined model, and combined model is classification performance can be seen that good.