Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound
Table 4
General experimental parameter settings.
Parameter
Value
Description
Data
Data matrix of 2,672 × 34
Data frame containing the samples used (0 samples in columns and genes in rows)
Classification method
“knn,” “nearcent,” “rpart,” “nnet,” “randforest”
Methods used for the classification
ChromosomeSize
5
Size of the chromosomes (the number of variables/genes included in the models)
Niches
2
Number of niches (niche represents a set of chromosomes)
GoalFitness
0.90
Desired fitness value (fraction of correct classification)
