Proceedings of the Symposium on Chemoinformatics
24th Symposium on Chemical Information and Computer Sciences
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Host: Division of Chemical Information and Computer Science, The Chemical Society of Japan

Co-host: The Pharmaceutical Society of Japan, Japan Society for Bioscience, Biotechnology, and Agrochemistry, The Japan Society for Analytical Chemistry, Japan Chemistry Program Exchange, Japanese Society for Information and Systems in Education (Approaval)

Poster Session
Application of New Ensemble Learning Method for the Regression Analysis: Arcing_RA
*Shingo Urata, Akira Takada, Akira Sekiya
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Keywords: Ensemble Learning, Adaboost, Bagging, Neural Network
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Pages JP05

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Abstract

In order to apply the ensemble learning method to the regression analysis, Arcing_RA was proposed. This procedure decreased the average of absolute deviation of both training and test data about 20%.

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© 2001 The Chemical Society of Japan
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