Figure 7
From: Effective diagnosis of Alzheimer’s disease by means of large margin-based methodology
ROC Analysis. LMNN-based methods SVM classified (PCA+LMNN Transformation, PLS+LMNN Transformation, LMNN-RECT). Comparison to other recently reported methods represented by their operation points. a) SPECT database. The AUC obtained for each ROC is: PCA+LMNN (0.9411), PLS+LMNN (0.9424), LMNN-RECT (0.9076), VAF SVM (0.8993) and PCA SVM (0.9177). b)PET database. The AUC obtained for each ROC is: PCA+LMNN (0.9505), PLS+LMNN (0.9437), LMNN-RECT (0.9325), VAF SVM (0.8500) and PCA SVM (0.9006).