Research Article
Software Defect Prediction through Neural Network and Feature Selections
Table 14
Comparison of RBF results with other previous methods before feature selection for MW1 data set.
| Source | Algorithm | F-measure | Accuracy |
| [47] | Naive Bayes | 0.90 | 83.63% | MLP | 0.95 | 91.09% | SVM | 0.96 | 92.19% | RBF | 0.96 | 91.99% |
| [49] | RBF | N/A | 89.33% | KNN | 0.44 | 86.66% | DT | 0.16 | 86.66% |
| This research | RBF | 0.95 | 88.90 |
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