Research Article
Software Defect Prediction through Neural Network and Feature Selections
Table 10
Comparison of RBF results with other previous methods before feature selection for KC3 data set.
| Source | Algorithm | F-measure | Accuracy |
| [43] | J star | N/A | 72.06% |
| [47] | Naive Bayes | 0.91 | 86.17% | MLP | 0.94 | 90.04% | SVM | 0.95 | 90.02% | RBF | 0.90 | 89.78% |
| [31] | RF | 0.71 | 82.80% | DS | 0.78 | 78.01% | SVM | 0.78 | 79.01% | LR | 0.79 | 77.01% |
| This research | RBF | 0.85 | 78.25 |
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