Research Article
Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features
Table 1
Classifier performance for the different data sets (patients versus healthy controls, number of cases in brackets) in the LOOCV, without feature preselection. The column Perf. (%) indicates the percentage of subject cases correctly classified per group, Sensitivity (%) indicates the percentage of correctly classified healthy controls, and Specificity (%) indicates the percentage of correctly classified patients.
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