[英]How to calculate False Positive ration in defect tracking? In a scenario where I have 334 bugs in total out of which 57 are “Not an Issue” type
How to calculate False Positive rate in a scenario where I have 334 bugs in total out of which 57 are Not an Issue type? 在我总共有334个错误(其中57个不是问题类型)的情况下,如何计算误报率 ? I believe 57 are false positives in this scenario 我相信在这种情况下57个是误报
The term false positive ratio, also known as the false alarm ratio, usually refers to the probability of falsely rejecting the null hypothesis for a particular test. 术语误报率,也称为误报率,通常是指针对特定测试错误拒绝无效假设的概率。 The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). 误报率的计算方法是:错误分类为阳性的阴性事件数(假阳性)与实际阴性事件总数(与分类无关)之间的比率。
The false positive rate is FP/N = FP/FP+TN 误报率是FP / N = FP / FP + TN
where FP is the number of false positives, TN is the number of true negatives and N=FP+TN is the total number of negatives. 其中FP是假阳性的数量,TN是真阴性的数量,N = FP + TN是阴性的总数。
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