Supervised Binary Classification Algorithm
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A Supervised Binary Classification Algorithm is a supervised learning algorithm that can solve a supervised binary classification task.
- AKA: Binomial Regression, Supervised Binary Classification Algorithm, Supervised Binary Classifier.
- Context:
- It can fit a Binomial Function, such as a Binomial Regression Model.
- It can be:
- It can be used by a Binary-based Multiclass Classification Algorithm.
- Example(s):
- Counter-Example(s):
- See: Binomial Experiment, Generalized Linear Model, Poisson Regression,
References
2009
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Binomial_regression
- In Statistics, binomial regression is a technique in which the response (often referred to as Y) is the result of a series of Bernoulli Trials, or a series of one of two possible disjoint outcomes (traditionally denoted "success" or 1, and "failure" or 0). In binomial regression, the probability of a success is related to Explanatory Variables: the corresponding concept in ordinary regression is to relate the mean value of the unobserved response to explanatory variables.