Labeled Dataset

A Labeled Dataset is an annotated dataset with labeled learning records (with a learning dataset target attribute).

• Context:
  • It can range from being a Labeled Training Record Set to being a Labeled Testing Record Set.
  • It can range from being a Correctly Labeled Training Set to being an Incorrectly Labeled Training Set.
  • It can range from being a Fully Labeled Learning Record Set to being a Partially Labeled Learning Record Set.
  • It can range from being a Binary Labeled Learning Dataset, to being a Category Labeled Learning Dataset, to being a Rank Labeled Learning Dataset to being a Number Labeled Learning Dataset.
  • It can range from being a Univariate Dataset to being a Multivariate Dataset.
  • It can range from being a Numeric-Predictors Labeled Dataset to being a Binary-Predictors Labeled Dataset to being a Categorical Predictors Labeled Dataset.
  • It can range from being a Manually Labeled Dataset to being an Automatically Labeled Dataset.
• Example(s):
  • a Labeled Corpus.
  • Fisher's Iris' Dataset.
  • (Fanaee-T & Gama, 2014) Dataset.
  • …
• Counter-Example(s):
  • an Unlabeled Learning Record Set.
• See: Learning Theory; Supervised Learning Task; Supervised Learning Algorithm.

---

---

References

2011

• (Sammut & Webb, 2011) ⇒ Claude Sammut, and Geoffrey I. Webb. (2011). “Labeled Data.” In: (Sammut & Webb, 2011) p.571

---