R/models.R
Retrieves the AUC value from an H2OBinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training AUC value is returned. If more than one parameter is set to TRUE, then a named vector of AUCs are returned, where the names are "train", "valid" or "xval".
h2o.auc(object, train = FALSE, valid = FALSE, xval = FALSE)
object | An H2OBinomialMetrics object. |
---|---|
train | Retrieve the training AUC |
valid | Retrieve the validation AUC |
xval | Retrieve the cross-validation AUC |
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() prosPath <- system.file("extdata", "prostate.csv", package="h2o") hex <- h2o.uploadFile(prosPath) hex[,2] <- as.factor(hex[,2]) model <- h2o.gbm(x = 3:9, y = 2, training_frame = hex, distribution = "bernoulli") perf <- h2o.performance(model, hex) h2o.auc(perf) # }