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

Table 4

Statistical results of 30 runs obtained by ABC-SVM, DE-SVM, GA-SVM, and PSO-SVM models for AISI 1045 steel.

		ABC-SVM	DE-SVM	GA-SVM	PSO-SVM
MSE	Best	0.0453	0.0373	0.0453	0.0455
	Worst	0.0453	0.0373	0.0453	0.0455
	Mean	0.0453	0.0373	0.0453	0.0455
	StdDev	0	0	0	0
R^2	Best	0.9573	09649	0.9573	0.9517
	Worst	0.9573	0.9649	0.9573	0.9571
	Mean	0.9573	0.9649	0.9573	0.9571
	StdDev	0	0	0	0
MAE	Best	0.1835	0.1633	0.1836	0.1837
	Worst	0.1835	0.1633	0.1836	0.1837
	Mean	0.1835	0.1633	0.1836	0.1837
	StdDev	0	0	0	0
T(s)		2.9230	7.3571	6.1448	3.0870