Research Article
Software Defect Prediction through Neural Network and Feature Selections
Table 13
Comparison of RBF results with other previous methods before feature selection for MC2 data set.
| Source | Algorithm | F-measure | Accuracy |
| [47] | Naive bayes | 0.82 | 72.52% | MLP | 0.78 | 67.97% | SVM | 0.82 | 72.00% | RBF | 0.81 | 69.51% |
| [31] | RF | 0.67 | 69.00% | DS | 0.66 | 67.00% | SVM | 0.64 | 65.00% | LR | 0.63 | 63.00% |
| [49] | RBF | 0.48 | 64.68% |
| This research | RBF | 0.76 | 70.18 |
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