Training Record Attribute

A Training Record Attribute is a Learning Record Attribute of a Training Record.

• AKA: Training Record Data Attribute, Predictive Learning Record Attribute.
• Context:
  • It can represent an Independent Random Variable.
  • It is not the Target Attribute of a Supervised Learning Task.
• See: Feature Mapping, Target Attribute, Feature Selection Task.

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References

2008

• (Wilson, 2008a) ⇒ Bill Wilson. (2008). “The Machine Learning Dictionary for COMP9414." University of New South Wales, Australia.
  • attributes: An attribute is a property of an instance that may be used to determine its classification. For example, when classifying objects into different types in a robotic vision task, the size and shape of an instance may be appropriate attributes. Determining useful attributes that can be reasonably calculated may be a difficult job - for example, what attributes of an arbitrary chess end-game position would you use to decide who can win the game? This particular attribute selection problem has been solved, but with considerable effort and difficulty. Attributes are sometimes also called features.

1998

• (Kohavi & Provost, 1998) ⇒ Ron Kohavi, and Foster Provost. (1998). “Glossary of Terms.” In: Machine Leanring 30(2-3).
  • Attribute (field, variable, feature): A quantity describing an instance. An attribute has a domain defined by the attribute type, which denotes the values that can be taken by an attribute. The following domain types are common:

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