Software Defect Prediction through Neural Network and Feature Selections

Table 14

Comparison of RBF results with other previous methods before feature selection for MW1 data set.

Source	Algorithm	F-measure	Accuracy
[47]	Naive Bayes	0.90	83.63%
	MLP	0.95	91.09%
	SVM	0.96	92.19%
	RBF	0.96	91.99%
[49]	RBF	N/A	89.33%
	KNN	0.44	86.66%
	DT	0.16	86.66%
This research	RBF	0.95	88.90