Labeled Dataset
(Redirected from Labeled ML Dataset)
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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):
- Counter-Example(s):
- 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