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.