Search results
Results from the WOW.Com Content Network
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
Internet security experts said that the passwords were easy to unscramble because of LinkedIn's failure to use a salt when hashing them, which is considered an insecure practice because it allows attackers to quickly reverse the scrambling process using existing standard rainbow tables, pre-made lists of matching scrambled and unscrambled passwords. [8]
Cyber attribution is a costly endeavor requiring considerable resources and expertise in cyber forensic analysis. [1] [2] Nissim Ben Saadon argues that the task of cyber attribution makes sense for major organizations: government agencies and major businesses in sensitive domains, such as healthcare and state infrastructures.
One consequence of the high false positive rate in the US is that, in any 10-year period, half of the American women screened receive a false positive mammogram. False positive mammograms are costly, with over $100 million spent annually in the U.S. on follow-up testing and treatment. They also cause women unneeded anxiety. As a result of the ...
In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).
False positive results on home COVID antigen tests are rare, especially when it is someone who is symptomatic, says Amesh Adalja, M.D., a senior scholar at the Johns Hopkins Center for Health ...
Uncertainty in meaning of terms presents problems when attempting to search and cross reference data from multiple sources. [18] The primary method for resolving data analysis issues is reliance on domain knowledge from an expert. This is a very time-consuming and costly method of conducting link analysis and has inherent problems of its own.