Fig. 7
From: Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques
Assessment accuracy of the six models. a KNNSVM is the k-nearest neighbor local support vector machine; b SVM-KNN is the k-NN and SVM integrated algorithm; c LMSVM is the local mixture-based support vector machine; d LSVM is the localized support vector machine; e PSVM is the proximal support vector machine; f FSVM is the fast local kernel support vector machine. I, II, III, IV, V, and VI indicate that the soil nutrient quality grade is “extremely high”, “medium high”, “low”, “poor”, and “extremely poor”, respectively