Table 2:
Note.— Combined classifier includes intranodular, perinodular, and shape features. Data in parentheses are 95% confidence intervals. Best performance on the independent test set was obtained by using the combined features from the nodule and its immediate parenchyma within a radial distance of 5 mm. Support vector machine (SVM) classifier with a linear kernel obtained a test area under the curve (AUC) of 80.02. LDA = linear discriminant analysis, RBF = radial basis function, RF = random forest, QDA = quadratic discriminant analysis.