Table 3. Classification results using combined data including sulcal measures, cortical thickness, cortical volume and subcortical volume.
Feature Set | Selected Attributes | Classifier | Accuracy | Sensitivity | Specificity | AUC |
---|---|---|---|---|---|---|
SM,CT,CV,SV | Hippocampus L | Naïve Bayes | 0.832 | 0.822 | 0.818 | 0.874 |
Hippocampus R | ||||||
Amygdala R | ||||||
Parahippocampal_volume R | Logistic Regression | 0.815 | 0.8 | 0.795 | 0.866 | |
Precuneus_volume L | ||||||
Precuneus_thickness R | ||||||
Supramarginal_thickness R | ||||||
g-SI L | SVM | 0.846 | 0.822 | 0.816 | 0.88 | |
Entorhinal_volume R | ||||||
Superiorparietal_volume R |
Abbreviations: SM-- sulcal measures; CT-- cortical thickness; CV-- cortical volume; SV-- subcortical volume
L-- Left hemisphere; R-- Right hemisphere.