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  2. RetailMeNot - Wikipedia

    en.wikipedia.org/wiki/RetailMeNot

    The company established annual National Cashback Day during the month of November where shoppers can receive up to 20% cash back on online purchases made on that day from about 300 national retailers such Banana Republic, Bloomingdale's, Estée Lauder, Gap, and Macy's.

  3. Shop Mark & Graham's Big Gift Event and save up to 50% off ...

    www.aol.com/lifestyle/shop-mark-and-grahams-big...

    Right now, during the Mark & Graham Big Gift Event, you can score up to 50% off select bestselling styles and you can get free shipping and an additional 20% off clearance items when you use...

  4. Joanna Gaines' Target line is up to 20% off! Refresh your ...

    www.aol.com/lifestyle/joanna-gaines-target-line...

    Joanna Gaines' collaboration with Target, Hearth & Hand with Magnolia, is offering up to 20% off through Sunday. (Target) (Target) Do you ever look around your home and suddenly realize almost...

  5. Death of Michael Jackson - Wikipedia

    en.wikipedia.org/wiki/Death_of_Michael_Jackson

    Murray was convicted of involuntary manslaughter in November 2011, and was released in 2013 after serving two years of his four-year prison sentence with time off for good behavior. [4] [5] At the time of his death, Jackson had been preparing for a series of comeback concerts, This Is It , due to begin in July 2009 in London in the United Kingdom.

  6. 1% rule - Wikipedia

    en.wikipedia.org/wiki/1%_rule

    1% rule. In Internet culture, the 1% rule is a general rule of thumb pertaining to participation in an Internet community, stating that only 1% of the users of a website actively create new content, while the other 99% of the participants only lurk. Variants include the 1–9–90 rule (sometimes 90–9–1 principle or the 89:10:1 ratio ), [1 ...

  7. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    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).

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