Eager Model-based Classification Algorithm

An Eager Model-based Classification Algorithm is an eager classification algorithm that is a model-based classification algorithm (which eagerly produces a classification model from all training data).

• Context:
  • It can range from being a Supervised Discriminative Classification Algorithm to being a Supervised Generative Classification Algorithm.
  • It can be applied by a Eager Model-based Classification System (to solve a Eager Model-based Classification Task).
• Example(s):
  • Decision Tree Classification Algorithm.
  • Logistic Regression Classification Algorithm.
  • …
• Counter-Example(s):
  • an Eager Model-based Regression Algorithm.
  • a Lazy Model-based Classification Algorithm.
  • an Eager Instance-based Classification Algorithm.
• See: Statistical Modeling, Classification Task, Eager Model-based Learning, Prediction Algorithm.

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