Supervised Class Prediction System

A Supervised Class Prediction System is a data-driven prediction system that can solve a supervised classification task (by implementing a supervised classification algorithm).

• AKA: Classification Learning System.
• Context:
  • It can range from being a Model-based Supervised Classification System to being a Instance-based Supervised Classification System.
  • It can range from being a Fully-Supervised Classification System to being a Semi-Supervised Classification System.
  • It can range from being a Supervised Binary-Target Classification System to being a Supervised Multi-Class Classification System.
  • It can range from being a Supervised Single-Label Classification System to being a Supervised Multi-Label Classification System.
  • It can range from being a Supervised Classification Software Tool to being a Supervised Classification Software Package.
• Example(s):
  • a Supervised Decision Tree Training System, such as: C4.5 System.
  • RISE System.
  • a Supervised SVM Training System, such as: SVMlight System or scikit-learn SVM.
  • a Logistic Regression Software Package.
  • a Supervised Graph Node Classification System.
  • a Naive Bayes Classification System.
  • …
• Counter-Example(s):
  • a Supervised Numeric-Value Prediction System.
  • a Supervised Rank Prediction System.
  • a Clustering System.
• See: Supervised Classification Tool.

---

---