File heuristic_precision.hpp¶
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namespace seco
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class PrecisionConfig : public seco::IHeuristicConfig¶
- #include <heuristic_precision.hpp>
Allows to configure a heuristic that measures the fraction of correctly predicted labels among all labels that are covered by a rule.
This heuristic is equivalent to RIPPER’s pruning heuristic (see “Fast Effective Rule Induction”, Cohen, 1995). A proof is provided in the paper “Roc ‘n’ Rule Learning — Towards a Better Understanding of Covering Algorithms”, Fürnkranz, Flach, 2005.
Public Functions
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virtual std::unique_ptr<IHeuristicFactory> createHeuristicFactory() const override¶
Creates and returns a new object of type
IHeuristicFactoryaccording to the specified configuration.- Returns:
An unique pointer to an object of type
IHeuristicFactorythat has been created
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virtual std::unique_ptr<IHeuristicFactory> createHeuristicFactory() const override¶
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class PrecisionConfig : public seco::IHeuristicConfig¶