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  2. The 12 best deodorants and antiperspirants for women in 2024

    www.aol.com/lifestyle/best-deodorants-and...

    Cost: $20 | Type: Solid | Active ingredients: Coconut oil, tapioca starch, and magnesium carbonate (Dead Sea Salt) | Scents available: Lavender & Lemon, Cedar & Vanilla, Cannabis & Green Tea ...

  3. Freight rate - Wikipedia

    en.wikipedia.org/wiki/Freight_rate

    Freight rate. A freight rate (historically and in ship chartering simply freight [1]) is a price at which a certain cargo is delivered from one point to another. The price depends on the form of the cargo, the mode of transport ( truck, ship, train, aircraft ), the weight of the cargo, and the distance to the delivery destination.

  4. Canelo Álvarez - Wikipedia

    en.wikipedia.org/wiki/Canelo_Álvarez

    Santos Saúl Álvarez Barragán (Latin American Spanish: [saˈul ˈalβaɾes]; born 18 July 1990), commonly known as Canelo, is a Mexican professional boxer.He has held multiple world championships in four weight classes from light middleweight to light heavyweight, including unified titles in three of those weight classes and lineal titles in two. Álvarez is the first and only boxer in ...

  5. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3ss, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  6. Stagflation fears come back with a vengeance - AOL

    www.aol.com/finance/stagflation-fears-come-back...

    The phenomenon ravaged the U.S. economy in the 1970s and early 1980s as spiking oil prices, rising unemployment and easy monetary policy pushed the consumer price index as high as 14.8% in 1980 ...

  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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