Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults

Table 5

Comparative results for the PC2 dataset.

PC2
Algorithm	Precision	Recall	F-measure	Accuracy
RF	0.979	1.000	0.989	97.850
DT	0.979	1.000	0.989	97.850
NB	0.980	0.925	0.951	90.730
Without dropout DNN	0.810	0.900	0.970	98.660
With dropout DNN	0.980	1.000	0.980	99.000