Retrieves the Qini value from an H2OBinomialUpliftMetrics. If "train" and "valid" parameters are FALSE (default), then the training Qini value is returned. If more than one parameter is set to TRUE, then a named vector of Qini values are returned, where the names are "train", "valid".

h2o.qini(object, train = FALSE, valid = FALSE)

Arguments

object

An H2OBinomialUpliftMetrics or

train

Retrieve the training Qini value

valid

Retrieve the validation Qini

Examples

if (FALSE) { # \dontrun{
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.qini(perf)
} # }