Figure 3From: Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forestsScatter biplots for MCI (white circles) and Dementia (black circles) patients in the 11 predictors and its histograms (DSf - Digit Span Forward; DSb - Digit Span Backward; SF - Verbal Semantic Fluency; Ori - Orientation; WR - Word Recall; VPA - Verbal Paired-associate Learning; LM - Logical Memory; Forg - Forgetting Index; Clock-Clock Drawing; MPR - Raven Progressive Matrices; Prov - Interpretation of Proverbs). See text for tests descriptions.Back to article page