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2. The Macy’s Bed-in-a-Bag Sale Is Back—and You Can ... - AOL

   www.aol.com/macy-best-bed-bag-sale-182238260.html

   The Macy’s Bed-in-a-Bag Sale Is Back—and You Can Secure an Extra 25% Off Gorgeous Spring Bedding ... All you have to do is use coupon code VIP at checkout to unlock the savings on full-priced ...

3. 21 Deals to Shop During Macy’s Early Access Black ... - AOL

   www.aol.com/entertainment/21-deals-shop-during...

   Take 70% off the Anchor Hocking 15-Pc. Oven Basics Bakeware Set! Macy's Viktor and Rolf perfume. Macy's. Take 50% off the Viktor & Rolf Good Fortune Eau de Parfum Spray! Macy's Black and Decker ...

4. Everything we would buy from Macy's after Christmas sales - AOL

   www.aol.com/lifestyle/macys-after-christmas-sale...

   In fact, right now Macy's is having a major after Christmas sale for 20% to 60% off everything from men's and women's clothing to home and bedding and bath deals and more. This women's wool-blend ...

5. List of films with a 100% rating on Rotten Tomatoes - Wikipedia

   en.wikipedia.org/wiki/List_of_films_with_a_100...

   For example, Lady Bird had a 100% rating based on 196 positive reviews when a film critic submitted a negative review solely in response to the perfect rating. [7] To date, Lady Bird has a 99% rating with 397 positive reviews and four negative reviews. [8] Paddington 2 held a perfect rating from its release in 2017 until a film critic published ...

6. Korean War - Wikipedia

   en.wikipedia.org/wiki/Korean_War

   Korean War. The Korean War was fought between North Korea and South Korea from 1950 to 1953. It began on 25 June 1950 when North Korea invaded South Korea and ceased after an armistice on 27 July 1953. North Korea was supported by China and the Soviet Union while South Korea was supported by the United States and US-led United Nations Command ...

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).