Skip to main content

Table 2 - Performance of each classifier using the features selected by the wrapper method. SVM = Support Vector Machine; MLP = Multilayer Perceptron; Instance-Based Algorithm (IBA) derived from k-nearest neighbors (IBk) (k = 1, k = 3, k = 5); AUC = Area under the ROC curve

From: Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging

ClassifierAUCSensitivitySpecificityAccuracy (%)Number of Features
SVM0.8420.8000.88587.815
IBk with k = 10.7980.8000.76978.213
IBk with k = 30.8670.7500.88582.614
IBk with k = 50.9690.7500.96286.99
MLP0.9651.0000.92395.66