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Model construction and feature screening using machine learning algorithms. (a) Diagram of the reverse cumulative distribution of residuals in the RF, GLM, and SVM models; (b) ROC curves and AUC values for the three models; (c) ranking of feature importance; and (d) feature–accuracy curves for generalized linear models. RF, random forest; GLM, generalized linear model; SVM, support vector machine.
