Software Defect Prediction through Neural Network and Feature Selections

Table 13

Comparison of RBF results with other previous methods before feature selection for MC2 data set.

Source	Algorithm	F-measure	Accuracy
[47]	Naive bayes	0.82	72.52%
	MLP	0.78	67.97%
	SVM	0.82	72.00%
	RBF	0.81	69.51%
[31]	RF	0.67	69.00%
	DS	0.66	67.00%
	SVM	0.64	65.00%
	LR	0.63	63.00%
[49]	RBF	0.48	64.68%
This research	RBF	0.76	70.18