Learning Dataset Target Attribute

A Learning Dataset Target Attribute is a learning record attribute in a learning dataset that represents a dependent variable.

• Context:
  • It can (typically) represent a Dependent Variable.
  • It can (typically) have with Target Attribute Values.
  • It can (typically) be an input to a Supervised Learning Task.
  • It can range from being a Categorical Target Attribute (such as a binary target) to being an Ordinal Target Attribute to being a Numeric Target Attribute.
  • It can range from being a Training Record Target Attribute to being a Testing Record Target Attribute.
• Example(s):
  • the flower-type attribute in Fisher's Iris Dataset.
  • …
• Counter-Example(s):
  • Predictor Attribute.
  • a Learning Dataset Predictor Variable.
• See: Univariate Dataset, Bivariate Dataset, Multivariate Dataset.

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