Research Article

Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction

Table 5

Performance measures.

Performance measuresDefinition of the measureDescription

Sensitivity (or)
Recall (or)
True positive rate (or)
Probability of detection (pd)
Proportion of defective modules correctly predicted

PrecisionProportion of modules predicted as defective

False positive rate (or)
Probability of false alarm (pf)
Proportion of nondefective modules predicted as defective

SpecificityProportion of correctly predicted nondefective modules

Classification accuracyProportion of correctly predicted modules

BalanceBalance 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) curveA graphical plot of “pd” versus “pf” where the discrimination threshold is varied