Prediction Function Coverage
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A Prediction Function Coverage is the data structure domain of a prediction structure.
- AKA: Prediction Structure Domain.
- Example(s):
- A trained Predictive Function can only be applied to Data Records with the same Data Structure.
- See: Partial Function, Lazy Evaluation.
References
1998
- (Kohavi & Provost, 1998) ⇒ Ron Kohavi, and Foster Provost. (1998). “Glossary of Terms.” In: Machine Leanring 30(2-3).
- Coverage: The proportion of a data set for which a classifier makes a prediction. If a classifier does not classify all the instances, it may be important to know its performance on the set of cases for which it is “confident enough to make a prediction.