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A player begins with initial propensities on a class of evidence-based behavioral rules and, given experience over time, adjusts her propensities in proportion to the past performance of the rules.
Consequently, these factors might have changed the performance of the rules.
The performance of the rules was evaluated through their application to the test portions of the PhenoCHF corpus.
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The performance of the rule template consists of two transactions.
The performance of the rule, obtained by resubstitution, is 93.3%.
The performance of the rule template consists of a sequence of two transactions.
The performance of the rule based technique highly dependents on these parameters.
The performance of the rule consumes the event resource and the current configuration resource and inserts the Holidays resource.
The performance of the rule matching processor was validated by means of two stress tests to ensure that the meta-model approach adopted would be able to scale up with the number of types and instances in the space.
The performance of the rule-based (RB) models was higher than expected by chance for species occurring in less than 70% of the sites (k>0.4) and was relatively consistent across the three areas of England where they were tested.
Because rules are tested based on independent data (intrinsic test data), performance values reflect the expected (general) performance of the rule, an independent verification that gives a more reliable estimate of true rule performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com