Ensemble-based Supervised Classification Algorithm

An Ensemble-based Supervised Classification Algorithm is a supervised ensemble algorithm that is a supervised classification algorithm that can be implemented by an ensemble-based supervised classification system to produce an ensemble-based classifier.

• Context:
  • It can range from being a Structured-Output Ensemble Classification Algorithm to being a Simple-Output Ensemble Classification Algorithm.
  • It can be a Weighted Vote-based Ensemble Classification Algorithm.
  • …
• Example(s):
  • AdaBoost.
  • Gradient Boosted Decision Tree.
  • Random Forest.
  • …
• Counter-Example(s):
  • an Ensemble Regression Algorithm.
  • an Ensemble Ranking Algorithm.
• See: Regularized Supervised Classification Algorithm, Lasso Algorithm.

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References

2010

• (Seni & Elder, 2010) ⇒ Giovanni Seni, and John F. Elder. (2010). “Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions.” Morgan & Claypool. doi:10.2200/S00240ED1V01Y200912DMK002

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