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Figure 5 | BMC Research Notes

Figure 5

From: 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 forests

Figure 5

Box-plot distributions of specificity (number of MCI predicted/number of MCI observed) for the 5 test samples resulting from the 5-fold cross-validation procedure (see text for abbreviations) (X2 Fr (9)= 37.292; p < 0.001). Different letters indicate statistically significant differences between classifiers on Dunn's mean rank comparison procedure. Circles and stars represent outliers and extreme outliers respectively.

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BMC Research Notes

ISSN: 1756-0500

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