Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner

Table 6

Outline of the parameters used in the BFO algorithm.

Parameter	Description
p	Number of features
S	Number of bacteria
	Number of bacteria in the reproduction steps
	No. of reproductive steps
	No. of elimination-dispersal steps
	No. of chemotactic steps
	No. of swimming steps
	Bacteria step size length
	Elimination probability
	Direction of bacteria
	Index of the chemotactic process
	Index of the reproduction process.
	Index of the elimination-dispersal process
	The bacterium position
	A bacterium on the optimization domain
	The highest objective function value
	A random vector and its value lie between -1 and 1
	Cell-to-cell attractant effect to nutrient concentration