Genetic Algorithm Based Approach in Attribute Weighting for a Medical Data Set

Table 5

The mean and its standard deviation of the best and worst total classification accuracies of individuals in the starting and ending populations occurring during different GA runs within 10 times (in GA wk-NN OVA 5 times) repeated 10-fold cross-validation.

Method	Population	Best accuracy [%]		Worst accuracy [%]
		Mean	Std dev.	Mean	Std dev.
GA ONE; (ONE1)	start	74.0	0.8	49.8	1.6
	end	73.8	0.7	61.4	2.8
	end 100	73.9	0.9	66.5	2.0
GA cwk-NN; (7-NN)	start	63.6	1.6	27.9	2.2
	end	68.3	1.9	56.2	2.2
GA wk-NN OVA; (7-NN)	start	79.2	0.5	75.3	0.5
	end	78.6	0.9	78.7	0.8