Neural Networks: An Overview - Neural Networks: Methodology and Applications - page 40

1

0.9

0.8

0.7

Men

0.6

0.5

0.4

Women

0.3

0.2

Class boundary given by Bayes
decision rule

0.1

0

1.5 1.6 1.7 1.8 1.9 2 2.1

Height (m )

Fig. 1.19. Posterior probabilities of the classes man and woman, as a function of
height, and boundary between the classes, when the person under investigation is
drawn from the general population

1

0.9

0.8

Men

0.7

0.6

0.5

0.4

0.3

Women

0.2

Class boundary given by
Bayes decision rule

0.1

0

1.5 1.6 1.7 1.8 1.9 2 2.1

Height (m )

Fig. 1.20. Posterior probabilities of the classes man and woman, as a function of
height, and boundary between the classes, when the person under investigation is
drawn from the audience of a football match