Supervised Binary Classification Algorithm
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A Supervised Binary Classification Algorithm is a supervised learning algorithm that can be implemented into a supervised binary classification system (to solve a supervised binary classification task).
- AKA: Supervised Binary Classifier.
- Context:
- It can range from being an Model-based Supervised Binary Classification Algorithm to being an Instance-based Supervised Binary Classification Algorithm.
- It can range from being a Single-Pass Supervised Binary Classification Algorithm to being an Iterative Supervised Binary Classification Algorithm.
- It can range from being a Fully-Supervised Binary Classification Algorithm to being an Semi-Supervised Binary Classification Algorithm.
- It can support a Binary-based Multiclass Classification Algorithm.
- Example(s):
- Counter-Example(s):
- See: Binomial Experiment, Generalized Linear Model, Poisson Regression, Binary Choice Model, Discrete Choice, Utility Theory.