Retrieve the all PR AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.
Retrieves the PR AUC table from an H2OMultinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training PR AUC table is returned. If more than one parameter is set to TRUE, then a named vector of PR AUC tables are returned, where the names are "train", "valid" or "xval".
h2o.multinomial_aucpr_table(object, train = FALSE, valid = FALSE, xval = FALSE)
object |
An H2OMultinomialMetrics object. |
train |
Retrieve the training PR AUC table |
valid |
Retrieve the validation PR AUC table |
xval |
Retrieve the cross-validation PR AUC table |
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.multinomial_aucpr_table(perf)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.