Additional file 1 of Machine learning methods to predict the cultivation age of Panacis Quinquefolii Radix

Additional file 1: Table S1. Samples information and nine physicochemical features. Table S2. Calibration curves of the five saponins. Figure S1. Comparison of 9 physicochemical features among 4-year-old AG cultivated in Jilin, Beijing, and Shanxi. Figure S2. Measure of feature importance. (A–D) The permutation importance of EN, KNN, SVM and MLP. The code is freely available at https://github.com/dreadlesss/Panax_age_predictor .