rank_metric: add AUC-PR (#3172)
* rank_metric: add AUC-PR Implementation of the AUC-PR calculation for weighted data, proposed by Keilwagen, Grosse and Grau (https://doi.org/10.1371/journal.pone.0092209) * rank_metric: fix lint warnings * Implement tests for AUC-PR and fix implementation * add aucpr to documentation for other languages
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Yuan (Terry) Tang
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@@ -51,6 +51,7 @@ from each CV model. This parameter engages the \code{\link{cb.cv.predict}} callb
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\item \code{rmse} Rooted mean square error
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\item \code{logloss} negative log-likelihood function
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\item \code{auc} Area under curve
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\item \code{aucpr} Area under PR curve
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\item \code{merror} Exact matching error, used to evaluate multi-class classification
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}}
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