Research Article
Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction
Table 5
Performance measures.
| Performance measures | Definition of the measure | Description |
| Sensitivity (or) Recall (or) True positive rate (or) Probability of detection (pd) | | Proportion of defective modules correctly predicted |
| Precision | | Proportion of modules predicted as defective |
| False positive rate (or) Probability of false alarm (pf) | | Proportion of nondefective modules predicted as defective |
| Specificity | | Proportion of correctly predicted nondefective modules |
| Classification accuracy | | Proportion of correctly predicted modules |
| Balance | | Balance combines pf and pd into one measure and is defined as the distance from the ROC “sweet spot” (where pd = 1 and pf = 0) |
| Receiver Operating Characteristics (ROC) curve | A graphical plot of “pd” versus “pf” where the discrimination threshold is varied |
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