Research Article
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 |
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