True Negative Rate (Specificity) is a statistical measure which measures the proportion of negatives that are correctly identified as such (for example, the percentage of healthy people who are correctly identified as not having the condition). Specificity is the extent to which positives really represent the condition of interest and not some other condition being mistaken for it. A highly specific test rarely registers a positive for anything that is not the target of testing (for example, finding one bacterial species when another closely related one is the true target). Therefore, specificity, therefore, quantifies the avoiding of false positives. For any test, there is usually a trade-off between the measures, specificity, and sensitivity.

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If you want to look for more information, check some free online courses available at coursera.org, edx.org or udemy.com.

Recommended reading list:

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