2025 SMSI Bannerklein

P2AR.5 - Classification of Essential Oil Groups with Ensemble of Binary SVM Decision Trees

Event
17th International Meeting on Chemical Sensors - IMCS 2018
2018-07-15 - 2018-07-19
Vienna, Austria
Chapter
P-2 - Sensor Arrays
Author(s)
Y. Nozaki, D. Prasetyawan, T. Debnath, T. Nakamoto - Tokyo Institute of Technology, Yokohama, Kanagawa (Japan)
Pages
909 - 910
DOI
10.5162/IMCS2018/P2AR.5
ISBN
978-3-9816876-9-9
Price
free

Abstract

Essential oils are aromatic complex mixture from natural sources. This paper presents the method to classify and to predict the category of essential oils by using mass spectra. Ensemble of Binary Support Vector Machine Decision Tree was used for the classification model. The model showed a sufficient performance on classifying essential oils to three categories.

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