Supervised Binary Classification Algorithm

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):
  • a Perceptron-based Binary Classification Algorithm.
  • a Binomial Regression Algorithm, such as binomial logistic regression.
  • a Decision Tree-based Binary Classification Algorithm.
  • an SVM-based Binary Classification Algorithm.
  • …
• Counter-Example(s):
  • a Supervised Multiclass Classification Algorithm.
  • a Supervised Regression Algorithm.
• See: Binomial Experiment, Generalized Linear Model, Poisson Regression, Binary Choice Model, Discrete Choice, Utility Theory.

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