Retrieves the AUCPR value from an H2OBinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training AUCPR value is returned. If more than one parameter is set to TRUE, then a named vector of AUCPRs are returned, where the names are "train", "valid" or "xval".
Usage
h2o.aucpr(object, train = FALSE, valid = FALSE, xval = FALSE)
h2o.pr_auc(object, train = FALSE, valid = FALSE, xval = FALSE)Arguments
- object
An H2OBinomialMetrics object.
- train
Retrieve the training aucpr
- valid
Retrieve the validation aucpr
- xval
Retrieve the cross-validation aucpr
See also
h2o.giniCoef for the Gini coefficient,
h2o.mse for MSE, and h2o.metric for the
various threshold metrics. See h2o.performance for
creating H2OModelMetrics objects.
Examples
if (FALSE) { # \dontrun{
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(prostate_path)
prostate[, 2] <- as.factor(prostate[, 2])
model <- h2o.gbm(x = 3:9, y = 2, training_frame = prostate, distribution = "bernoulli")
perf <- h2o.performance(model, prostate)
h2o.aucpr(perf)
} # }