h2o.multinomial_auc_table {h2o} | R Documentation |
Retrieve the all AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.
Description
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".
Usage
h2o.multinomial_auc_table(object, train = FALSE, valid = FALSE, xval = FALSE)
Arguments
object |
An H2OMultinomialMetrics object. |
train |
Retrieve the training AUC table |
valid |
Retrieve the validation AUC table |
xval |
Retrieve the cross-validation AUC table |
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.multinomial_auc_table(perf)
## End(Not run)
[Package h2o version 3.44.0.3 Index]