Retrieve the all AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.
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".
## 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)
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.