Predicting Ovarian/Breast Cancer Pathogenic Risks of Human BRCA1 Gene Variants of Unknown Significance

Table 2

Other performance indicators of the best random forest model. Tp, Tn, Fp, and Fn stand for the number of true-positive, true-negative, false-positive, and false-negative instance in the machine learning confusion matrix, respectively.

ID	Indicator	Value	Calculation
1	True-positive rate (a.k.a. sensitivity or recall)	0.84
2	True-negative rate (a.k.a. specificity)	0.86
3	False-positive rate	0.13
4	False-negative rate	0.16
5	Positive predictive value (a.k.a. precision)	0.77
6	Accuracy	0.85
7	Balanced accuracy	0.85
8	-measure (a.k.a. score)	0.80