Although experimental design and methodological surveys for mono-molecular activity/property has been extensively investigated, those for chemical composition have received little attention, with the exception of a few prior studies. In this study, we configured three simple DNN regressors to predict essential oil property based on chemical composition. Despite showing overfitting due to the small size of dataset, all models were trained effectively in this study.

翻译：尽管针对单分子活性/性质的实验设计与方法学研究已得到广泛探索，但针对化学成分的相关研究却鲜有关注，仅有少数前期工作例外。本研究构建了三种简单的DNN回归模型，用于基于化学成分预测精油性质。尽管因数据集规模较小而出现过拟合现象，所有模型在本研究中均得到了有效训练。