Supervised Multiclass Classification System

A Supervised Multiclass Classification System is a supervised classification system that can solve a Supervised Multiclass Classification Task by implementing a Supervised Multiclass Classification Algorithm.

• AKA: Supervised Multiclass Prediction System.
• Context:
  • It can range from being a Supervised Multiclass Classification Software Tool to being a Supervised Multiclass Classification Software Package.
  • It can range from being a Fully-Supervised Multiclass Classification System to being a Semi-Supervised Multiclass Classification System.
  • It can range from being a Supervised Single-Label Multiclass Classification System to being a Supervised Multi-Label Multiclass Classification System.
• Example(s):
  • a One-vs-All Supervised Multiclass Classification System, such as sklearn.multiclass.OneVsRestClassifier.
  • a Supervised Graph Node-Directed Classification System.
  • …
• Counter-Example(s):
  • a Supervised Binary Classification System.
  • a Supervised Multilabel Classification System.
• See: scikit-learn.

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