Software Defect Prediction through Neural Network and Feature Selections

Table 16

Comparison of RBF results with other previous methods before feature selection for PC2 data set.

Source	Algorithm	F-measure	Accuracy
[47]	Naive Bayes	0.99	96.96%
	MLP	1.00	99.52%
	SVM	1.00	99.59%
	RBF	1.00	99.58%
[49]	RBF	N/A	97.65%
	KNN	N/A	96.77%
	DT	N/A	97.69%
This research	RBF	0.99	99.80