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