Multiclass Classification Task

A Multiclass Classification Task is a multi-value prediction task that is a classification task (where the set cardinality of the class set is at least a binary set).

• AKA: Multiomial Classification.
• Context:
  • Input: an Artifact.
    • optional: a Multiclass Classifier.
  • output: a Multiset.
  • measure: Multi-Class Performance Measure.
  • It can range from being a Heuristic Multiple-Classes Classification Task to being an Data-Driven Multiple-Classes Classification Task.
  • It can range from being a Few Multiple-Classes Classification Task to being a Large Multiclass Classification Task.
  • It can be solved by a Multiclass Classification System (that implements a multiclass classification algorithm).
• Example(s):
  • Fisher's Iris Classification Dataset.
  • an Optical Character Recognition Task (for a Grapheme).
  • a Part-of-Speech Tagging Task (for a Word Mention).
  • a Link Prediction Task.
  • a Multiclass Text Classification Task.
  • a Graph Node-based Classification Task.
  • …
• Counter-Example(s):
  • any Binary Classification Task.
  • any Multiple-Labels Classification Task.
  • a Multi-Value Ranking Task.
  • a Multi-Value Regression Task.
• See: Classification Algorithm.

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References

2001

• (Ramswamy et al., 2001) ⇒ Sridhar Ramaswamy, Pablo Tamayo, Ryan Rifkin, Sayan Mukherjee, Chen-Hsiang Yeang, Michael Angelo, Christine Ladd, Michael Reich, Eva Latulippe, Jill P. Mesirov, Tomaso Poggio, William Gerald, Massimo Loda, Eric S. Lander, and Todd R. Golub. (2001). “Multiclass Cancer Diagnosis Using Tumor Gene Expression Signatures.” In: Proceedings of the National Academy of Sciences of the United States of America (PNAS), 98(26) doi:10.1073/pnas.211566398

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