Retrieve AUUC

Source: R/models.R

Retrieves the AUUC value from an H2OBinomialUpliftMetrics. If the metric parameter is "AUTO", the type of AUUC depends on auuc_type which was set before training. If you need specific AUUC, set metric parameter. If "train" and "valid" parameters are FALSE (default), then the training AUUC value is returned. If more than one parameter is set to TRUE, then a named vector of AUUCs are returned, where the names are "train", "valid".

h2o.auuc(object, train = FALSE, valid = FALSE, metric = NULL)

Arguments

object

An H2OBinomialUpliftMetrics
train

Retrieve the training AUUC
valid

Retrieve the validation AUUC
metric

Specify the AUUC metric to get specific AUUC. Possibilities are NULL, "qini", "lift", "gain".

Examples

# NOT RUN {
library(h2o)
h2o.init()
f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/uplift/criteo_uplift_13k.csv"
train <- h2o.importFile(f)
train$treatment <- as.factor(train$treatment)
train$conversion <- as.factor(train$conversion)

model <- h2o.upliftRandomForest(training_frame=train, x=sprintf("f%s",seq(0:10)), y="conversion",
                                ntrees=10, max_depth=5, treatment_column="treatment",
                                auuc_type="AUTO")
perf <- h2o.performance(model, train=TRUE)
h2o.auuc(perf)
# }