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  2. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    Multiclass classification should not be confused with multi-label classification, where multiple labels are to be predicted for each instance (e.g., predicting that an image contains both an apple and an orange, in the previous example).

  3. Baldur's Gate 3 - Wikipedia

    en.wikipedia.org/wiki/Baldur's_Gate_3

    Baldur's Gate 3 became the best-selling game on both Steam and GOG.com on the day of its early access launch. [89] On Steam, the game had about 537,000 concurrent players on release day and peaked at 875,000 two weeks after release. [90] [91] [92] It sold more than 2.5 million copies during its early access phase. [93]

  4. Minthara - Wikipedia

    en.wikipedia.org/wiki/Minthara

    Minthara Baenre is a character from the 2023 Baldur's Gate 3, a Larian Studios roleplaying game set in the Forgotten Realms universe of Dungeons & Dragons.Voiced by Emma Gregory, she is a drow Paladin in service of the game's antagonist, and acts as a central villain for the game's first act.

  5. Receiver operating characteristic - Wikipedia

    en.wikipedia.org/wiki/Receiver_operating...

    A high ROC AUC, such as 0.9 for example, might correspond to low values of precision and negative predictive value, such as 0.2 and 0.1 in the [0, 1] range. If one performed a binary classification, obtained an ROC AUC of 0.9 and decided to focus only on this metric, they might overoptimistically believe their binary test was excellent.

  6. Multinomial logistic regression - Wikipedia

    en.wikipedia.org/wiki/Multinomial_logistic...

    Suppose the odds ratio between the two is 1 : 1. Now if the option of a red bus is introduced, a person may be indifferent between a red and a blue bus, and hence may exhibit a car : blue bus : red bus odds ratio of 1 : 0.5 : 0.5, thus maintaining a 1 : 1 ratio of car : any bus while adopting a changed car : blue bus ratio of 1 : 0.5.

  7. Hinge loss - Wikipedia

    en.wikipedia.org/wiki/Hinge_loss

    The plot shows that the Hinge loss penalizes predictions y < 1, corresponding to the notion of a margin in a support vector machine. In machine learning, the hinge loss is a loss function used for training classifiers. The hinge loss is used for "maximum-margin" classification, most notably for support vector machines (SVMs). [1]

  8. Astarion - Wikipedia

    en.wikipedia.org/wiki/Astarion

    Astarion was created by and primarily written by Baldur's Gate 3 senior writer Stephen Rooney, and is voiced and motion captured by English actor Neil Newbon. [1] Discussing his process for bringing the character to life, Newbon stated that he was heavily influenced by commedia dell’arte , a comedic style of Italian theatre, and their ...

  9. Bond credit rating - Wikipedia

    en.wikipedia.org/wiki/Bond_credit_rating

    The credit rating is a financial indicator to potential investors of debt securities such as bonds.These are assigned by credit rating agencies such as Moody's, Standard & Poor's, and Fitch, which publish code designations (such as AAA, B, CC) to express their assessment of the risk quality of a bond.