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Variable importance display for most accurate classification model (Support Vector Machine with a radial basis kernel). Note the inclusion of many predictor variables—32 are included with >10% variable importance, suggesting potential interaction between predictors. SVM-Radial, support vector machine with a radial basis kernel.
