Research Article
Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults
Table 4
Comparative results for the PC1 dataset.
| PC1 | Algorithm | Precision | Recall | F-measure | Accuracy |
| RF | 0.950 | 0.984 | 0.960 | 93.680 | DT | 0.937 | 0.990 | 0.960 | 92.870 | NB | 0.947 | 0.936 | 0.942 | 89.170 | Without dropout DNN | 0.940 | 0.990 | 0.970 | 93.000 | With dropout DNN | 0.930 | 1.000 | 0.960 | 96.000 |
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