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".

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

# NOT RUN {
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)
# }