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)
| object | An H2OBinomialMetrics object. |
|---|---|
| train | Retrieve the training aucpr |
| valid | Retrieve the validation aucpr |
| xval | Retrieve the cross-validation aucpr |
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.
# 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) # }