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Introduction. 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).
The DOJ said its figure represented 15%-20% of Apple’s worldwide net income. Apple CEO Tim Cook, in April. (REUTERS/Willy Kurniawan) (REUTERS / Reuters)
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