I don't really know data science but in assay validation, sensitivity basically measures false negative rate, and specificity measures false positive rate. Accuracy and precision are measures of assay consistency or tightness. (statisticians may not purely agree with my simple explanation)

Gotcha -- specificity sounded like tightness to me. Thanks for the explanation.