Table 7.

The confusion matrices, showing the diagnostic accuracy of SVM classifiers for discrimination of three categories of vasospasm

RBF kernel				Sigmoid kernel
(a) Vasospasm is categorized as class 1—normal (VA1), class 2—mild (VA2), and class 3—moderate or severe [VA(3–4)]
	VA1-des	VA2-des	VA(3–4)-des		VA1-des	VA2-des	VA(3–4)-des
VA1-act	0.9735	0.9412	0.2500	VA1-act	0.9735	0.9412	0.2500
VA2-act	0.0000	0.0000	0.0000	VA2-act	0.0000	0.0000	0.0000
VA(3–4)-act	0.0265	0.0588	0.7500	VA(3–4)-act	0.0265	0.0588	0.7500
Overall classification rate=0.8291				Overall classification rate=0.8291
(b) Vasospasm is categorized as class 1—normal (VA1), class 2—mild or moderate [VA(2–3)], and class 3—severe (VA4)
	VA1-des	VA(2–3)-des	VA4-des		VA1-des	VA(2–3)-des	VA4-des
VA1-act	0.9558	0.5833	0.1111	VA1-act	0.9558	0.6111	0.1111
VA(2–3)-act	0.0000	0.4167	0.5556	VA(2–3)-act	0.0000	0.3611	0.5556
VA4-act	0.0442	0.0000	0.3333	VA4-act	0.0442	0.0278	0.3333
Overall classification rate=0.7975				Overall classification rate=0.7848

Vasospasm is categorized in the same way as for the LVQ networks (see Table 5); the inputs of the SVM classifiers were also the same