A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and classification of Bacillus species

Table 3 Species: classification results for vegetative bacilli only.

Confusion Matrices Species - vegetative bacilli only
		predicted class
		all 150 m / z intensities							25 GA selected m / z intensities
		sph	sub	lic	lat	cer	amy	meg	sph	sub	lic	lat	cer	amy	meg
actual class	sph sub lic lat cer amy meg	15 0 0 0 0 0 3	0 19 3 0 0 4 0	0 1 12 0 0 0 0	0 0 0 12 0 0 0	0 0 0 0 15 0 0	0 1 0 0 0 11 0	0 0 0 0 0 0 12	15 0 0 0 0 0 0	0 19 3 0 0 4 0	0 0 12 0 0 0 0	0 0 0 12 0 0 0	0 0 0 0 15 0 0	0 2 0 0 0 11 0	0 0 0 0 0 0 15
	Statistics
	class	TP	FP	precision	sensitivity				TP	FP	precision	sensitivity
		all 150 m/z intensities							25 GA selected m/z intensitie						s
	sph	1	0.032	0.833	1				1	0	1	1
	sub	0.905	0.08	0.731	0.905				0.905	0.08	0.731	0.905
	lic	0.8	0.011	0.923	0.8				0.8	0	1	0.8
	lat	1	0	1	1				1	0	1	1
	cer	1	0	1	1				1	0	1	1
	amy	0.733	0.011	0.917	0.733				0.733	0.022	0.846	0.733
	meg	0.8	0	1	0.8				1	0	1	1
	w. avg.	0.889	0.023	0.902	0.889				0.917	0.019	0.926	0.917

ISSN: 1471-2105