Software Defect Prediction through Neural Network and Feature Selections

Table 12

Comparison of RBF results with other previous methods before feature selection for MC1 data set.

Source	Algorithm	F-measure	Accuracy
[43]	J star	N/A	100%
[47]	Naive Bayes	0.97	94.57%
	MLP	0.10	99.40%
	SVM	0.10	99.26%
	RBF	0.10	99.27
[31]	RF	0.97	97.00%
	DS	0.95	94.00%
	SVM	0.88	81.00%
	LR	0.88	81.00%
[42]	J48	N/A	88.60%
This research	RBF	0.99	99.01