Retrieves the pr_auc value from an H2OBinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training pr_auc value is returned. If more than one parameter is set to TRUE, then a named vector of pr_aucs are returned, where the names are "train", "valid" or "xval".

h2o.pr_auc(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object

An H2OBinomialMetrics object.

train

Retrieve the training pr_auc

valid

Retrieve the validation pr_auc

xval

Retrieve the cross-validation pr_auc

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()

prosPath <- system.file("extdata", "prostate.csv", package="h2o")
hex <- h2o.uploadFile(prosPath)

hex[,2] <- as.factor(hex[,2])
model <- h2o.gbm(x = 3:9, y = 2, training_frame = hex, distribution = "bernoulli")
perf <- h2o.performance(model, hex)
h2o.pr_auc(perf)
# }