An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes

Table 6

Statistical results of 30 runs obtained by ABC-SVM, DE-SVM, GA-SVM, and PSO-SVM models for Compacted Graphite Iron.

		ABC-SVM	DE-SVM	GA-SVM	PSO-SVM
MSE	Best	0.0036	0.0067	0.0152	0.0139
	Worst	0.0036	0.0067	0.0152	0.0139
	Mean	0.0036	0.0067	0.0152	0.0139
	StdDev	0	0	0	0
R^2	Best	0.7665	0.5619	0.0055	0.0868
	Worst	0.7665	0.5619	0.0055	0.0868
	Mean	0.7665	0.5619	0.0055	0.0868
	StdDev	0	0	0	0
MAE	Best	0.0544	0.0704	0.1126	0.1102
	Worst	0.0544	0.0704	0.1126	0.1102
	Mean	0.0544	0.0704	0.1126	0.1102
	StdDev	0	0	0	0
T(s)		2.3599	6.6633	5.7490	2.4986