Table 5 Concordance coefficients for classification (Kappa) and regression (Lin’s ccc) models for correspondence between observed and predicted outcomes of artificial neural networks (ANN), support-vector machine (SVM), random forest (RF), decision trees (DT), logistic regression (LGR), and linear regression (LNR) machine-learning models used to characterize the effect of leaf wetness and incubation temperature on incidence of Sclerotinia stem rot of canola and dry bean.

From: Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms