Application of Artificial Intelligence to the Prediction of the Antimicrobial Activity of Essential Oils

Table 7

Simultaneous prediction by an artificial neural network (FANN) of the inhibition diameter in disk diffusion assays for three microorganisms using the large data input set. Accuracy is expressed in the percentage of predictions within the given error margin. In parenthesis, total of inputs correctly predicted within the corresponding error margin.

Strains	Accuracy %
	ΔID ≤ 5 mm	ΔID ≤ 10 mm	ΔID ≤ 15 mm	ΔID > 15 mm
S. aureus ATCC 25923	83.3 (10)	91.7 (12)	100.0 (12)	0 (0)
E. coli ATCC 25922	50.0 (6)	91.7 (11)	91.7 (11)	0 (0)
C. perfringens KT	58.3 (7)	83.3 (10)	91.7 (11)	8.3 (1)