Research Article
Software Defect Prediction through Neural Network and Feature Selections
Table 20
Comparison of RBF results with other previous methods after feature selection.
| Data set | Source | Algorithm | F-measure | Accuracy |
| CM1 | [43] | J star | N/A | 81.69% | RF | N/A | 84.60% | [49] | MLP | N/A | 89.79% | [50] | Boost-RF | N/A | 89.97% | Bag-RF-FS | N/A | 89.97% | [51] | DT | 0.94 | 89.92% | MLP | 0.94 | 89.32% | SVM | 0.95 | 90.69% | This research | RBF | 0.95 | 93.99 |
| JM1 | [43] | J star | N/A | 81.90% | RF | N/A | 73.90% | [49] | MLP | 0.17 | 80.44% | [50] | Boost-RF | N/A | 80.56% | Bag-RF-FS | N/A | 80.61% | This research | RBF | 0.87 | 84.87 |
| KC1 | [42] | J48 | N/A | 68.78% | RF | N/A | 71.08 | [43] | RF | N/A | 84.16% | J star | N/A | 85.97% | [50] | Boost-RF | N/A | 78.51% | Bag-RF-FS | N/A | 78.51% | [49] | MLP | 0.43 | 77.65% | [51] | DT | 0.91 | 84.56% | MLP | 0.92 | 85.68% | SVM | 0.91 | 84.59% | This research | RBF | 0.83 | 83.25% |
| KC2 | [52] | LSTSVM | N/A | 86.12% | This research | RBF | 0.82 | 79.11% |
| KC3 | [43] | J star | N/A | 80.50% | RF | N/A | 80.50% | [50] | Boost-RF | N/A | 79.13% | Bag-RF-FS | N/A | 77.58% | [49] | MLP | 0.28 | 82.75% | [51] | DT | 0.96 | 93.11% | MLP | 0.96 | 93.50% | SVM | 0.96 | 93.28% | This research | RBF | 0.85 | 78.25% |
| KC4 | This research | RBF | 0.86 | 83.18% |
| MC1 | [50] | Boost-RF | N/A | 97.61% | Bag-RF-FS | N/A | 97.61% | [49] | MLP | N/A | 97.61% | This research | RBF | 0.99 | 99.01% |
| MC2 | [50] | Boost-RF | N/A | 64.86% | Bag-RF-FS | N/A | 62.16% | [49] | MLP | N/A | 97.60% | This research | RBF | 0.76 | 70.18 |
| MW1 | [50] | Boost-RF | N/A | 89.33% | Bag-RF-FS | N/A | 89.33% | [49] | MLP | 0.40 | 92.00% | This research | RBF | 0.95 | 88.90% |
| PC1 | [43] | J star | N/A | 91.17% | RF | N/A | 91.17% | [50] | Boost-RF | N/A | 96.07% | Bag-RF-FS | N/A | 96.07% | [49] | MLP | 0.42 | 96.56% | [51] | DT | 0.96 | 93.58% | MLP | 0.96 | 93.59% | SVM | 0.96 | 93.10% | This research | RBF | 0.99 | 98.99% |
| PC2 | [50] | Boost-RF | N/A | 97.23% | Bag-RF-FS | N/A | 97.69% | [49] | MLP | N/A | 97.69% | This research | RBF | 0.99 | 99.80% |
| PC3 | [50] | Boost-RF | N/A | 87.34% | Bag-RF-FS | N/A | 87.34% | [49] | MLP | 0.14 | 85.12% | This research | RBF | 0.97 | 94.11 |
| PC4 | [50] | Boost-RF | N/A | 91.60% | Bag-RF-FS | N/A | 90.81% | [49] | MLP | 0.44 | 88.97% | This research | RBF | 0.95 | 94.44 |
| PC5 | [50] | Boost-RF | N/A | 75.78% | Bag-RF-FS | N/A | 76.96% | [49] | MLP | 0.24 | 74.80% | This research | RBF | 0.80 | 79.02% |
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