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  2. Binary data - Wikipedia

    en.wikipedia.org/wiki/Binary_data

    A binary variable is a random variable of binary type, meaning with two possible values. ... For example, if the value A is considered "success" (and thus B is ...

  3. Binary function - Wikipedia

    en.wikipedia.org/wiki/Binary_function

    A binary operation is a binary function where the sets X, Y, and Z are all equal; binary operations are often used to define algebraic structures. In linear algebra, a bilinear transformation is a binary function where the sets X, Y, and Z are all vector spaces and the derived functions f x and f y are all linear transformations.

  4. Bernoulli distribution - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_distribution

    In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, [1] is the discrete probability distribution of a random variable which takes the value 1 with probability and the value 0 with probability =.

  5. Binary number - Wikipedia

    en.wikipedia.org/wiki/Binary_number

    In the binary system, each bit represents an increasing power of 2, with the rightmost bit representing 2 0, the next representing 2 1, then 2 2, and so on. The value of a binary number is the sum of the powers of 2 represented by each "1" bit. For example, the binary number 100101 is converted to decimal form as follows:

  6. Binary classification - Wikipedia

    en.wikipedia.org/wiki/Binary_classification

    Binary classification may be a form of dichotomization in which a continuous function is transformed into a binary variable. Tests whose results are of continuous values, such as most blood values , can artificially be made binary by defining a cutoff value , with test results being designated as positive or negative depending on whether the ...

  7. Dummy variable (statistics) - Wikipedia

    en.wikipedia.org/wiki/Dummy_variable_(statistics)

    A graph showing the gender wage gap. In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes a binary value (0 or 1) to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. [1]

  8. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    This simple model is an example of binary logistic regression, and has one explanatory variable and a binary categorical variable which can assume one of two categorical values. Multinomial logistic regression is the generalization of binary logistic regression to include any number of explanatory variables and any number of categories.

  9. Binary operation - Wikipedia

    en.wikipedia.org/wiki/Binary_operation

    Typical examples of binary operations are the addition (+) and multiplication of numbers and matrices as well as composition of functions on a single set. For instance, For instance, On the set of real numbers R {\displaystyle \mathbb {R} } , f ( a , b ) = a + b {\displaystyle f(a,b)=a+b} is a binary operation since the sum of two real numbers ...