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Figure 2 | BMC Research Notes

Figure 2

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 2

Schematic representation of the optimum hyperplane (H0) by a Support Vector Machine. Diagonal lines represent the classification function for objects {-1} and {+1}. Objects inside the circles are the so-called support vectors verifying w'x + b = -1 or w'x + b = + 1 respectively.

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