[zz]True positives (TP), true negatives (TN), false positives (FP), and false negatives (FN)

http://www.gepsoft.com/Gepsoft/APS3KB/Chapter09/Section2/SS03.htm

True positives (TP), true negatives (TN), false positives (FP), and false negatives (FN), are the four different possible outcomes of a single prediction for a two-class case with classes “1” (“yes”) and “0” (“no”). A false positive is when the outcome is incorrectly classified as “yes” (or “positive”), when it is in fact “no” (or “negative”). A false negative is when the outcome is incorrectly classified as negative when it is in fact positive. True positives and true negatives are obviously correct classifications.