Statistical and Machine Learning Methods for Software Fault Prediction Using CK Metric Suite: A Comparative Analysis

Table 20

Performance metrics.

Performance parameters
AI technique	Epoch	MAE	MARE	RMSE	Std. error	Accuracy
Gradient descent	162	0.0594	1.0930	0.0617	0.0048	94.04
LM	13	0.0023	1.1203	0.0308	0.0041	90.49
RBFN basic	—	0.0279	0.3875	0.0573	0.06	97.27
RBFN gradient	41	0.0207	0.2316	0.0323	0.0041	97.24
RBFN hybrid	14	0.0614	0.1032	0.0316	0.0013	98.47
FLANN	66	0.0304	0.7097	0.0390	0.0050	96.37